Best Product Reviews

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame Twilio calls on OpenAI for generative AI - VentureBeat August 3, 2023 1:12 PM Signage at the New York Stock Exchange promoting Twilio's IPO on June 23, 2016. Head over to our on-demand library to view sessions from VB Transform 2023. Register Here Twilio is continuing to build out its customer engagement platform capabilities with the announcement today of a new integration with generative AI leader OpenAI. The new integration will bring OpenAI’s GPT-4 model to the Twilio Engage platform, enables organizations to build highly customized and targeted marketing campaigns. Twilio has a large community of users and developers that build different types of customer engagement tools. Twilio says it has more than 10 million developers that use the company’s APIs and there has already been a series of efforts to bring the power of ChatGPT and its ability to generate responses with Twilio’s voice service. With the new GPT-4 integration, Twilio is aiming to formalize its work with OpenAI and plans on having OpenAI CEO Sam Altman speak at the Twilio Signal conference later this month. Event VB Transform 2023 On-Demand Did you miss a session from VB Transform 2023? Register to access the on-demand library for all of our featured sessions. Register Now OpenAI is only one part of a larger initiative known as Twilio CustomerAI. Alex Millet, senior director of product at Twilio told VentureBeat that CustomerAI was first previewed in June, to bring both generative and predictive AI to Twilio’s community. “This integration advances the generative piece of that vision, and will allow Twilio customers to use OpenAI’s GPT-4 model to create personalized customer journeys and marketing content within Twilio Engage, which is Twilio’s marketing automation solution built atop the Segment Customer Data Platform,” said Millet. Why generative AI is a fit for Twilio and its customers For Twilio, there are a number of reasons why and where generative AI is a beneficial technology that will have business impact. For one, there is a growing need for highly personalized customer interactions. Millet noted that recent Twilio research confirmed that consumer loyalty with any given brand hinges on high quality personalization and bespoke engagement. The Twilio report found that 56% of consumers will only become repeat buyers after a personalized experience — a 7% lift from the previous year’s report. Millet commented that this puts a lot of pressure on customer experience leaders and marketers to retain customers and maintain customer satisfaction levels, especially at a time when budgets are more constrained and team bandwidth is limited. That’s where Twilio sees generative and predictive AI fit in. Millet emphasized that the AI is only as good as the data that’s powering it, which is what Twilio provides with its customer data platform. Combining AI with good data, Millet expects that marketers will be able to achieve exceptional levels of personalization while reclaiming time spent on crafting communications from scratch. The road ahead for Twilio CustomerAI Twilio’s overall CustomerAI vision is broader than just incorporating OpenAI models. To date, Twilio has also announced a series of additional AI vendor partnerships, including with Google and Frame AI in June, and with AWS in July. All those partnerships will come together to help enable the larger Twilio Customer AI vision. The real value in CustomerAI, according to Millet, is that businesses can organize and pair customer knowledge with generative and predictive AI capabilities to help them to better understand and provide deeper value to their customers. “At its simplest, CustomerAI is about making it faster and easier for companies to deliver personalized experiences to customers,” said Millet. “It sounds straightforward, but the reality is that capturing all that signal across the entire customer journey — marketing, sales, customer service, product — in real-time is complex.” VentureBeat's mission is to be a digital town square for technical decision-makers to gain knowledge about transformative enterprise technology and transact. Discover our Briefings. #AINews, #ArtificialIntelligence, #FutureOfTech, #AIAdvancements, #TechNews, #AIRevolution, #AIInnovation, #AIInsights, #AITrends, #AIUpdates

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame OpenAI’s ChatGPT Just Got Smarter: Here’s the Latest on the AI Chatbot - Decrypt OpenAI continues to refine and enhance its star artificial intelligence chatbot, ChatGPT. The latest round of small but meaningful updates aims to make conversations with the bot smoother and more productive. OpenAI today announced an update to make its chatbot more user-friendly. Firing up a blank ChatGPT window can be daunting, so now users are greeted with suggested prompts to spark ideas and get the creative juices flowing. The virtual assistant also chimes in with follow-up questions and responses to keep discussions flowing naturally. These new features help emulate the back-and-forth rhythm of human conversation. This feature has already proven useful in the GPT-powered version of Microsoft Bing, so OpenAI adding it now to its own chatbot makes sense. The guardrails could also prevent the bot from giving weird responses while at the same time engaging users into longer conversations. We’re rolling out a bunch of small updates to improve the ChatGPT experience. Shipping over the next week: 1. Prompt examples: A blank page can be intimidating. At the beginning of a new chat, you’ll now see examples to help you get started. 2. Suggested replies: Go deeper with… — OpenAI (@OpenAI) August 3, 2023 For Plus subscribers willing to pony up $20 per month, OpenAI promises full integration with the more advanced GPT-4 model under the hood. Previously, chats would default back to the less capable GPT-3.5 after logging out. The older model is quicker but not as advanced as the new version. It’s worth noting both Google's Bard and Anthropic's Claude AI are free to use, just like ChatGPT 3.5. But OpenAI is building new functionalities on top of GPT-4 to make its subscription service more appealing. The new upgrades are only for paid subscriptions, leaving GPT 3.5 as just an LLM with no additional functionalities. Power users have another reason to jump on the new model: multiple file uploads are now supported, so ChatGPT can synthesize insights across various datasets. With the Code Interpreter beta, programmers can leverage ChatGPT’s abilities for analyzing complex codebases. ChatGPT’s new interface ChatGPT's capabilities have expanded rapidly, but competition looms on the horizon. Bard and Claude AI are emerging as potent challengers in the chatbot domain. Notably, Google has also invested in Anthropic, hinting at strategic alignments. Additionally, Meta has recently launched its own open-source LLM, named LlaMA-2, which seems really promising for its customizability. Third parties have also boosted ChatGPT's skills via browser extensions for specialized prompts and functionality beyond the standard interface. But engagement has waned since the initial mania, so these updates could not have come at a better time for OpenAI. While ChatGPT still has room for improvement, especially in accuracy and transparency, it remains the chatbot to beat. And with OpenAI committed to ongoing tweaks under the hood, this virtual assistant may someday feel as natural as chatting with a flesh-and-blood human. Hopefully without the bad jokes and occasional hallucinations. Stay on top of crypto news, get daily updates in your inbox. #AINews, #ArtificialIntelligence, #FutureOfTech, #AIAdvancements, #TechNews, #AIRevolution, #AIInnovation, #AIInsights, #AITrends, #AIUpdates

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame Should an AI bot making $1mn really be the next Turing test? - Financial Times What is included in my trial? During your trial you will have complete digital access to FT.com with everything in both of our Standard Digital and Premium Digital packages. Standard Digital includes access to a wealth of global news, analysis and expert opinion. Premium Digital includes access to our premier business column, Lex, as well as 15 curated newsletters covering key business themes with original, in-depth reporting. For a full comparison of Standard and Premium Digital, click here. Change the plan you will roll onto at any time during your trial by visiting the “Settings Account” section. What happens at the end of my trial? If you do nothing, you will be auto-enrolled in our premium digital monthly subscription plan and retain complete access for 65€ per month. For cost savings, you can change your plan at any time online in the “Settings Account” section. If you’d like to retain your premium access and save 20%, you can opt to pay annually at the end of the trial. You may also opt to downgrade to Standard Digital, a robust journalistic offering that fulfils many user’s needs. Compare Standard and Premium Digital here. Any changes made can be done at any time and will become effective at the end of the trial period, allowing you to retain full access for 4 weeks, even if you downgrade or cancel. When can I cancel? You may change or cancel your subscription or trial at any time online. Simply log into Settings Account and select "Cancel" on the right-hand side. You can still enjoy your subscription until the end of your current billing period. What forms of payment can I use? We support credit card, debit card and PayPal payments. #AINews, #ArtificialIntelligence, #FutureOfTech, #AIAdvancements, #TechNews, #AIRevolution, #AIInnovation, #AIInsights, #AITrends, #AIUpdates

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame Inworld AI raises $50M round at $500M valuation for AI game characters - VentureBeat August 2, 2023 7:00 AM Inworld AI is valued at $500 million in its latest funding round. Image Credit: Inworld AI Missed the GamesBeat Summit excitement? Don't worry! Tune in now to catch all of the live and virtual sessions here. Inworld AI has raised $50 million funding from Lightspeed Venture Partners, bringing the valuation of the maker of an AI-based character engine for games to over $500 million. That valuation makes Inworld into a frontrunner when it comes to AI and games. The round includes additional investments from Stanford University, Samsung Next, and new and existing strategic investors such as Microsoft’s M12 fund, First Spark Ventures cofounded by Eric Schmidt, and LG Technology Ventures. With over $100 million in total funding, Inworld AI is now the best-funded startup at the intersection of AI and gaming, said Kylan Gibbs, cofounder and chief product officer of Inworld AI, in an interview with GamesBeat. That’s a lot of money for a company built around making non-player characters (NPCs). The twist is that these NPCs promise to be as smart as people. The company will use the funding to accelerate research and development, hire top talent, invest in infrastructure, and launch an open-source version of its character engine. “Inworld’s commitment to open source is a testament to our belief that collaboration fuels innovation,” said Michael Ermolenko, CTO and cofounder of Inworld, in a statement. “Working with the open source developer community, we’ll push forward innovations in generative AI that elevate the entire gaming industry.” This is all in the name of doing things that weren’t possible without today’s advanced AI. In big games like The Legend of Zelda, Gibbs hopes to turn the characters and interactions into the central part of the experience in ways that don’t happen in today’s games. “You may have to, for example, go tell something to certain characters and learn which ones are the snitches and then change the narrative,” Gibbs said. “You may have to go and talk to a series of characters to shift their opinion on something so that they tell someone else, right in the same way.” Characters in a living world Enemies is Unity’s cool tech demo. While AI has been around in games for a long time, the characters aren’t that smart yet. “When you talk to a game designer, triple-A games are made to be extremely efficient. They talk about smoke and mirrors, where it just has to appear real enough for the player to believe that the world is real,” said Moritz Baier-Lentz, partner and head of games at Lightspeed Venture Partners, in an interview with GamesBeat. “To run a full simulation in the background, where they simulate this whole world, you would never do that in a game. You would just make the player believe that the character was there in the world.” That doesn’t lend itself to much of a backstory. You wouldn’t know, for instance, that a character spends the last three days with family having a great time on vacation and now the character happens to meet you. “Our approach is importantly different from game studios who are focused on AI with things like simulations,” Gibbs said. “We are fundamentally trying to position ourselves as the canonical toolset that anyone could use to build any game that involves some form of dynamic real world interactions. And so increasingly we’re working on this idea of a contextual mesh alongside the character engine.” The virtual world is a living world, and the characters are portals into a storyline for understanding everything about the world. The characters can understand the world and its map, and they can reference those things in the world when they’re talking to the player. “We’ve now gotten beyond just the personality, emotions, motivations,” Gibbs said. “Now we’ve got long-term memory. So, the characters can actually not only memorize but synthesize context from very long periods of interaction. We’ve also got dialogue animations, and something that will be coming out soon is a new voice system that will be launched that is much more adaptable and realistic.” As a game developer, you will have a no-code menu where you can manage the relationship between characters, who should talk in a conversation, and who should be the focus of attention. You can craft it so...

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame Elon Musk says Tesla is now working on 'final piece of the FSD AI puzzle' - Electrek Elon Musk says Tesla is now working on the “final piece of the Full Self-Driving (FSD) AI puzzle,” and apparently that is “vehicle control.” Despite his best efforts to stop making predictions about self-driving, the CEO has recently still predicted that Tesla would achieve full autonomy by the end of the year. For many of us who use Tesla’s FSD Beta regularly, it is hard to imagine that Tesla can make the jump from the current state to a level 4 or 5 of autonomy where the automaker would take responsibility for the system and enable drivers to use it without monitoring in just a few months. But that’s what Musk is suggesting – pending regulatory approval, obviously. On Twitter, the CEO said yesterday that Tesla is now working on the “final piece of the Tesla FSD AI puzzle.” He says it is “vehicle control”: Vehicle control is the final piece of the Tesla FSD AI puzzle. That will drop 300k lines of C++ control code by ~2 orders of magnitude. It sounds like Tesla plans to more heavily rely on neural nets for vehicle control rather than direct coded instructions. The CEO added that Tesla is currently training these neural nets and that “training compute” is the limitation at this point: It is training as I write this. Our progress is currently training compute constrained, not engineer constrained. Musk has been talking a lot lately about how Tesla has been securing as much compute power from NVIDIA as possible on top of deploying its own Dojo supercomputer program at the same time. Electrek’s Take As you know, I’m certainly not the most optimistic person when it comes to FSD, but the last of my optimism has been linked to Tesla’s Dojo program and the potential to accelerate the rate of improvement of the system, which I haven’t been impressed with over the last two years. Tesla has started to deploy the supercomputer this month, and it could potentially accelerate the training of Tesla’s many neural nets powering FSD. Obviously, this could just be hopeful thinking and there could be bigger underlying problems, but I have some hope. FTC: We use income earning auto affiliate links. More. #AINews, #ArtificialIntelligence, #FutureOfTech, #AIAdvancements, #TechNews, #AIRevolution, #AIInnovation, #AIInsights, #AITrends, #AIUpdates

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame Google’s AI Search Generative Experience is getting video and images - The Verge Google’s AI-powered Search Generative Experience is getting a big new feature: images and video. If you’ve enabled the AI-based SGE feature in Search Labs, you’ll now start to see more multimedia in the colorful summary box at the top of your search results. Google’s also working on making that summary box appear faster and adding more context to the links it puts in the box. SGE may still be in the “experiment” phase, but it’s very clearly the future of Google Search. “It really gives us a chance to, now, not always be constrained in the way search was working before,” CEO Sundar Pichai said on Alphabet’s most recent earnings call. “It allows us to think outside the box.” He then said that “over time, this will just be how search works.” The SGE takeover raises huge, thorny questions about the very future of the web, but it’s also just a tricky product to get right. Google is no longer simply trying to find good links for you every time you search — it’s trying to synthesize and generate relevant, true, helpful information. Video in particular could go a long way here: Google has integrated YouTube more and more into search results over the years, linking to a specific chapter or moment inside a video that might help you with that “why is my dryer making that noise” query. You can already see the publish dates and images starting to show up in SGE summaries. Image: Google / David Pierce Surfacing and contextualizing links is also still going to be crucial for Google if SGE is going to work. It’s now going to display publish dates next to the three articles in the summary box in an effort to “help you better understand how recent the information is from these web pages,” Google said in a blog post announcing the new features. 9to5Google also noticed Google experimenting with adding in-line links to the AI summary, though so far, that appears to have just been a test. Finding the right balance between giving you the information you were looking for and helping you find it yourself — and all the implications of both those outcomes — is forever one of the hardest problems within Google Search. Making SGE faster is also going to take Google a while. All these large language model-based tools, from SGE and Bing to ChatGPT and Bard, take a few seconds to generate answers to your questions, and in the world of search, every millisecond matters. In June, Google said it had cut the loading time in half —though I’ve been using SGE for a few months, and I can’t say I’ve noticed a big difference before and after. SGE is still too slow. It’s always the last thing to load on the page by a wide margin. Still, I’ve been consistently impressed with how useful SGE is in my searches. It’s particularly handy for all the “where should I go” and “what should I watch” types of questions, where there’s no right answer but I’m just looking for ideas and options. Armed with more sources, more media, and more context, SGE might start to usurp the 10 blue links even further. #AINews, #ArtificialIntelligence, #FutureOfTech, #AIAdvancements, #TechNews, #AIRevolution, #AIInnovation, #AIInsights, #AITrends, #AIUpdates

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame How Will Artificial Intelligence Change Journalism? - New York Magazine Here are three theories of the case. Photo-Illustration: Getty Photo-Illustration: Getty In early July, the Associated Press made a deal with OpenAI, maker of ChatGPT, to license “part of AP’s text archive” and get access to “OpenAI’s technology and product expertise.” A few days later, OpenAI announced a $5 million grant, accompanied by $5 million in software use “credits,” to the American Journalism Project, an organization that supports nonprofit newsrooms. Meanwhile, Google has reportedly been presenting major news organizations, including the New York Times, the Washington Post, and the Wall Street Journal, with a new software “personal assistant” for journalists, code-named Genesis, which promises to “take in information — details of current events, for example — and generate news content,” with a pitch described by some in attendance as unsettling. A number of news organizations, including G/O media, which owns Gizmodo, Jezebel, and The Onion, are experimenting with blog-style content generated from scratch, and plenty of others, with varying degrees of transparency, have started to dabble. Last week, Semafor reported that the next significant meeting between news organizations and AI firms might occur in court: Barry Diller’s IAC, along with “a handful of key publishers,” including the Times, News Corp, and Axel Springer, are reportedly “formalizing a coalition that could lead a lawsuit as well as press for legislative action.” They’re not looking for small grants or exploratory collaborations. In their view, AI companies are systematically stealing content in order to train software models to copy it. They’re looking for compensation that could “run into the billions.” These are, it is fair to say, the inconsistent actions of a mixed-up industry confronting speculative disruption from a position of weakness. This is not ideal if you’re the sort of person who places much stock in a functional Fourth Estate, but it’s also not unique: In conference rooms around the world, white-collar workers are stumbling through mind-numbing conversations about incoherent presentations on the imminent approach of AI with the assignment or intention of making some —any! — sort of plan. It’s also understandable. It’s easier to get the leadership at OpenAI and Google to talk about the apocalypse than it is to get a clear sense of even their own plans for making money with large language models, much less how those plans might affect the reporting and distribution of the news. The media industry’s particular expressions of panic are a result of a comprehensive sense of exposure to these new forms of automation — which is arguably the best way to think about artificial intelligence — combined with a sense of profound confusion about what the challenges are and for whom. The industry’s scattered early responses to AI do, however, seem to contain some assumptions, and from those assumptions we can extrapolate some possible futures —if not the likely ones, then at least ones that people in charge of the news business are most excited about or of which they are most afraid. The news media’s flailing early responses to AI are, in their own ways, predictions. There are, so far, a few dominant schools of thought about this. Theory 1: AI replaces journalism At one extreme, you have online-first news organizations that are ready to start generating more content now in the most straightforward way possible: asking tools based on new large language models to compose stories about x or y for direct or lightly edited publication. CNET, the tech-news site, adopted this strategy early but pulled back after its little-read content was found to be full of egregious errors; undeterred, G/O is giving a similar strategy a shot with an added dash of antagonism toward its unionized employees. It’s tempting to get stuck on the question of whether AI tools are (or soon will be) capable of producing plausible versions of much of the content already published by these publications. As a strategy, however, the all-in-on-AI approach renders that question irrelevant. If a bot can’t convincingly mass-produce content people want to read, or at least content against which views can be somehow harvested by publishers for ads, then the plan fails. If it can —that is, if G/O can rep...

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame SAG-AFTRA, writers strike's real threat? AI taking Hollywood's jobs. - USA TODAY Haley Joel Osment as an eerie android child in a futuristic world. Will Smith battling a flood of murderous robots. Data (Brent Spiner) on the deck of the U.S.S. Enterprise. Hollywood has furnished the world with an abundance of stories about artificial intelligence, utopian and dystopian alike. But it's unlikely that the writers who penned those sci-fi scripts, or the actors giving soul to a machine, ever thought that AI might represent a serious threat to their livelihoods. Yet that's exactly the fear of SAG-AFTRA and the Writers Guild of America, unions representing American actors and screenwriters. Both guilds are on strike (the first time both have done so at once since 1960), and a key issue holding up negotiations with the major Hollywood studios is the use and regulation of AI. The unions worry that text generators like ChatGPT could write screenplays and actors’ images could be used to create characters without any humans involved. "We will not be having our jobs taken away and given to robots,” "Breaking Bad" actor Bryan Cranston said at a recent rally in support of the SAG-AFTRA strike. “We will not allow you to take away our dignity." Meanwhile, the Alliance of Motion Picture and Television Producers (AMPTP), which represents the major Hollywood studios, says it has offered “groundbreaking protections” to prevent that. But could generative artificial intelligence really replace writers and actors on movie sets? Could we one day see a TV show written by a computer and "acted" by images of humans created by a machine, as a recent episode of Netflix sci-fi drama "Black Mirror" depicted? Is AI really the major threat to artists that many are saying? “Totally,” says Haibing Lu, associate professor of Information Systems Analytics at Santa Clara University. “I don't think that there's a way to totally ban the technology. We have to adapt to it. All parties need to sit down and figure out what’s the proper way to channel the profits.” At the moment, the parties aren’t sitting down. No negotiations have been scheduled between the AMPTP and the striking unions. When they finally meet again, they will have to put rules about the use of AI into new contracts. And the stakes are high, not only for the writers, actors and studios but for the rest of us.Would we want to watch movies and TV shows made by machines? Would they be original at all? Could they make us laugh and cry? Would artificially intelligent art have a soul? And − crucially − is AI coming for our jobs too? Generative AI makes new things, but it starts by learning about old things AI applications like ChatGPT and Midjourney create new text or images, but first, they must be trained on material that is similar to the content they are trying to generate. Text generators, also called Large Language Models, offer plenty of material for training. “There's a huge amount of text available on the internet, so it is very easy for them to collect and train,” Lu says. There are fewer photos and videos online than text, but AI models are still training on images they can find. “Your photos and my photos have probably already been collected and used. It's happening with more and more powerful technologies.” Justine Bateman, the actor, writer and director who has been vocally opposed to the use of AI in filmmaking, describes it as “like a box. Say you want it to write books. You feed it a bunch of books, and then you give it a task: 'Write me a book about pandas and outer space,' and it'll spit out that book.” For her and others in the entertainment industry, it’s not just that AI could replace their work; it’s that any ChatGPT script or Midjourney movie would be partly based on the existing work of filmmakers. “Imagine something coming in and not only displacing you but displacing you with your own work,” she says. Hollywood is already chock full of AI − how much more can machines do? The guilds and the AMPTP may be arguing about the use of AI in films, but part of the future is already here. Actor Peter Cushing died in 1994, but he was digitally resurrected for the 2016 film “Rogue One: A Star Wars Story.” Stars like Robert De Niro, Harrison Ford and Samuel L. Jackson have been digitally de-aged for films. The late Anthony Bourdain’s voice was recreated for a recent docu...

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame Chatbots sometimes make things up. Is AI's hallucination problem fixable? - The Associated Press Spend enough time with ChatGPT and other artificial intelligence chatbots and it doesn’t take long for them to spout falsehoods . Described as hallucination, confabulation or just plain making things up, it’s now a problem for every business, organization and high school student trying to get a generative AI system to compose documents and get work done. Some are using it on tasks with the potential for high-stakes consequences, from psychotherapy to researching and writing legal briefs . “I don’t think that there’s any model today that doesn’t suffer from some hallucination,” said Daniela Amodei, co-founder and president of Anthropic, maker of the chatbot Claude 2. “They’re really just sort of designed to predict the next word,” Amodei said. “And so there will be some rate at which the model does that inaccurately.” Anthropic, ChatGPT-maker OpenAI and other major developers of AI systems known as large language models say they’re working to make them more truthful. How long that will take — and whether they will ever be good enough to, say, safely dole out medical advice — remains to be seen. “This isn’t fixable,” said Emily Bender, a linguistics professor and director of the University of Washington’s Computational Linguistics Laboratory. “It’s inherent in the mismatch between the technology and the proposed use cases.” A lot is riding on the reliability of generative AI technology . The McKinsey Global Institute projects it will add the equivalent of $2.6 trillion to $4.4 trillion to the global economy. Chatbots are only one part of that frenzy, which also includes technology that can generate new images, video, music and computer code. Nearly all of the tools include some language component. Google is already pitching a news-writing AI product to news organizations, for which accuracy is paramount. The Associated Press is also exploring use of the technology as part of a partnership with OpenAI , which is paying to use part of AP’s text archive to improve its AI systems. In partnership with India’s hotel management institutes, computer scientist Ganesh Bagler has been working for years to get AI systems, including a ChatGPT precursor, to invent recipes for South Asian cuisines, such as novel versions of rice-based biryani. A single “hallucinated” ingredient could be the difference between a tasty and inedible meal. When Sam Altman, the CEO of OpenAI , visited India in June, the professor at the Indraprastha Institute of Information Technology Delhi had some pointed questions. “I guess hallucinations in ChatGPT are still acceptable, but when a recipe comes out hallucinating, it becomes a serious problem,” Bagler said, standing up in a crowded campus auditorium to address Altman on the New Delhi stop of the U.S. tech executive’s world tour . “What’s your take on it?” Bagler eventually asked. Altman expressed optimism, if not an outright commitment. “I think we will get the hallucination problem to a much, much better place,” Altman said. “I think it will take us a year and a half, two years. Something like that. But at that point we won’t still talk about these. There’s a balance between creativity and perfect accuracy, and the model will need to learn when you want one or the other.” But for some experts who have studied the technology, such as University of Washington linguist Bender, those improvements won’t be enough. Bender describes a language model as a system for “modeling the likelihood of different strings of word forms,” given some written data it’s been trained upon. It’s how spell checkers are able to detect when you’ve typed the wrong word. It also helps power automatic translation and transcription services, “smoothing the output to look more like typical text in the target language,” Bender said. Many people rely on a version of this technology whenever they use the “autocomplete” feature when composing text messages or emails. The latest crop of chatbots such as ChatGPT, Claude 2 or Google’s Bard try to take that to the next level, by generating entire new passages of text, but Bender said they’re still just repeatedly selecting the most plausible next word in a string. When used to generate text, language models “are designed to make things up. That’s all they do,” Bender said. They are good a...

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame Google pulls the AI Test Kitchen app from the Play Store - Android Police Another one bites the dust less than a year after introduction Read update Google confirms AI Test Kitchen app is sunsetting Although generative AI piqued public interest only recently, behind-the-scenes development has been ongoing at companies like Google for a few years now. Testing these cutting edge improvements in AI is usually something reserved for employees and developers, but Google allowed commoners to take its AI projects for a spin with apps like AI Test Kitchen. In an unforeseen turn of events, the company has delisted this app from the Play Store and Apple App Store, perhaps ahead of a complete and unexplained shutdown. Google launched the AI Test Kitchen app soon after its annual I/O developer conference in 2022, where it introduced the second-gen LaMDA large language model (LLM) which now plays a key role powering Bard. Test Kitchen was initially available with three applications designed to let people test the capabilities of the LLM in limited environments. The three experiments available at launch included Imagine It where LaMDA tries to describe an imaginary place you name, List It, where the LLM breaks down a to-do list into smaller sub-tasks, and Talk About It, where you could chat with the AI about dogs. After I/O this year, where Google introduced new experiments like MusicLM, the company briefly took the AI Test Kitchen app off the Play Store, 9to5Google notes. The move is surprising, considering the app was less than a year old, and AI is still gaining traction. However, the writing was on the wall, because at I/O this year, Google suggested we use the website to experience MusicLM, conveniently steering users away from the Test Kitchen app. MusicLM replaced all other AI experiments running on the app, but Google doesn’t say why it is shutting down AI Test Kitchen. If you have the app installed, you'll soon notice that it has stopped working — even the latest build of the app hosted on APKMirror. The Test Kitchen experience still works on the web app, however, and should for the foreseeable future. As for the app, it's yet another piece of software killed by Google. UPDATE: 2023/08/01 15:31 EST BY DALLAS THOMAS Google confirms AI Test Kitchen app is sunsetting In a statement to 9to5Google, a Google representative confirmed that the company is permanently removing the AI Test Kitchen app from both stores and disabling functionality for users who still have the app installed. However, the web version of AI Test Kitchen will continue to exist and has become the new home for the project. #AINews, #ArtificialIntelligence, #FutureOfTech, #AIAdvancements, #TechNews, #AIRevolution, #AIInnovation, #AIInsights, #AITrends, #AIUpdates

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame CoreWeave came 'out of nowhere.' Now it's poised to make billions off AI with its GPU cloud - VentureBeat August 1, 2023 9:20 AM Image: CanvaPro/VentureBeat Head over to our on-demand library to view sessions from VB Transform 2023. Register Here A few months ago, few had heard of CoreWeave, a cloud startup specializing in GPU-accelerated workloads, according to Brannin McBee, the company’s co-founder and chief strategy officer.Now, CoreWeave is poised to make billions off of the generative AI boom with its GPU cloud. “We’ve come out of nowhere,” he told VentureBeat in an interview last week. With over $400 million in new funding; a new $1.6 billion data center in Plano, Texas; and the world’s fastest AI supercomputer built in partnership with Nvidia unveiled last month, the company’s fortunes have shifted dramatically — thanks, in no small part, to Nvidia. CoreWeave: from crypto mining to GPU acceleration at scale CoreWeave was founded in 2017 by three commodities traders who turned their cryptocurrency mining hobby into an Ethereum mining company, using GPUs to verify blockchain transactions — doing business out of a New Jersey data center. By 2019, the founders had pivoted — fortuitously, in hindsight — to building a specialized cloud infrastructure spanning seven facilities that offered GPU acceleration at scale. Suddenly, everyone was talking about CoreWeave, which led to an investment “tide shift” in March of this year, said McBee. “People were still able to access GPUs last year, but when it became extremely tight, all of a sudden it was like, where do we get these things?” he explained. AI companies that were using CoreWeave spread the word to VCs, he added, who suddenly saw a gold mine: “They said, ‘Why aren’t we speaking to these guys’?” Event VB Transform 2023 On-Demand Did you miss a session from VB Transform 2023? Register to access the on-demand library for all of our featured sessions. Register Now That led to a massive $221 million Series B funding round in April, which included an investment from Nvidia, and one month later, CoreWeave secured another $200 million. McBee said CoreWeave did $30 million in revenue last year, will score $500 million this year and has nearly $2 billion already contracted for next year. CNBC reported in June that Microsoft “has agreed to spend potentially billions of dollars over multiple years on cloud computing infrastructure from startup CoreWeave.” “It’s happening very, very quickly,” he said. “We have a massive backlog of client demand we’re trying to build for. We’re also building at 12 different data centers right now. I’m engaged in something like one of the largest builds of this infrastructure on the planet today, at a company that you had never heard of three months ago.” Nvidia has diverted latest AI server chips to CoreWeave In addition to being in the right place with the right technology at the right time, CoreWeave has also benefitted significantly from Nvidia’s strategy to stay dominant in the AI space. Nvidia has allotted a generous number of its latest AI server chips to CoreWeave and away from top cloud providers like AWS, even though supply is tight. That’s because those companies are developing their own AI chips in an attempt to reduce their reliance on Nvidia. “It’s certainly isn’t a disadvantage to not be building our own chips,” McBee admitted. “I would imagine that that certainly helps us in our constant effort to get more GPUs from Nvidia at the expense of our peers.” But while having Nvidia in their corner is “excellent” for CoreWeave, ultimately, McBee said, over time there will a matrix of different pieces and types of infrastructure that support different types of AI models. However, he believes GPUs will remain the infrastructure that supports the most cutting-edge, most compute-intensive models that get developed — and that it will take at least another two years, if not three, for the GPU supply shortage to begin to alleviate. CoreWeave clients include Inflection AI For now, top AI companies like Inflection AI, which recently announced an eye-popping $1.3 billion funding round to build a massive GPU cluster, are using CoreWeave to build it. “They called us and said, ‘Guys, we need you to build one of the most high-performance supercomputers on the planet to support our AI company,'” McBee said. “They call us and they say, ‘Th...

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame AI entering the dating pool is a bleak prospect - Financial Times What is included in my trial? During your trial you will have complete digital access to FT.com with everything in both of our Standard Digital and Premium Digital packages. Standard Digital includes access to a wealth of global news, analysis and expert opinion. Premium Digital includes access to our premier business column, Lex, as well as 15 curated newsletters covering key business themes with original, in-depth reporting. For a full comparison of Standard and Premium Digital, click here. Change the plan you will roll onto at any time during your trial by visiting the “Settings Account” section. What happens at the end of my trial? If you do nothing, you will be auto-enrolled in our premium digital monthly subscription plan and retain complete access for 65€ per month. For cost savings, you can change your plan at any time online in the “Settings Account” section. If you’d like to retain your premium access and save 20%, you can opt to pay annually at the end of the trial. You may also opt to downgrade to Standard Digital, a robust journalistic offering that fulfils many user’s needs. Compare Standard and Premium Digital here. Any changes made can be done at any time and will become effective at the end of the trial period, allowing you to retain full access for 4 weeks, even if you downgrade or cancel. When can I cancel? You may change or cancel your subscription or trial at any time online. Simply log into Settings Account and select "Cancel" on the right-hand side. You can still enjoy your subscription until the end of your current billing period. What forms of payment can I use? We support credit card, debit card and PayPal payments. #AINews, #ArtificialIntelligence, #FutureOfTech, #AIAdvancements, #TechNews, #AIRevolution, #AIInnovation, #AIInsights, #AITrends, #AIUpdates

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame Nvidia AI Growth Substantiated By Taiwan Semiconductor And Meta Reports (NASDAQ:NVDA) - Seeking Alpha Birdlkportfolio/iStock via Getty Images I'm still amazed to see people doubting artificial intelligence ("AI"), thinking it's nothing more than a fad, hype, investor "hopium," or vaporware. I know fads can see billions of dollars spent on them, and I've witnessed vaporware pushed from major vendors of mine amount to nothing, so I get the thinking that AI will be nothing more than the next "cool thing" to hit the trash bin. But there's something more pervasive about AI that the average person doesn't see. And while the average person may not see it, two major companies do, along with the need for it. Both just reported in the last week or so. As I've said before, most people don't even realize the social media apps they use have been invigorated by more AI in the last eight months than they ever have been over those apps' existence. But I'm seeing AI push into other realms now. I had a coworker tell me in the last week she used AI to generate a headshot for her work avatar and LinkedIn profile pic because she didn't want to pay for a professional headshot. Before I was even privy to her explanation, the picture looked good enough that I didn't think beyond the initial, "Hmmm, I mean, it looks like her..." Are photographers going to go out of business? Probably not today or tomorrow. But in the not-so-distant future, I'm not so sure. I'll ask you this: do fads replace the cost or use of something else, providing utility to the average person? Honestly, think about it. More to this article's point, everyone interested in stocks or tech knows Nvidia Corporation (NASDAQ:NVDA ) has big revenue numbers planned for this year in its Data Center segment. Many are skeptical the company will be able to hit its $11B guidance in a month. I'm not one of those skeptics. Is AI a fad is the question. My position was reinforced this past week when Taiwan Semiconductor Manufacturing Company Limited (TSM) and Meta Platforms, Inc. (META) reported earnings. Now, you might be saying one is a logic chip manufacturer, and one is a social media conglomerate; what do all three have to do with one another? Well, the two have to do with the third's revenue. Taiwan Semiconductor produces the chips in Nvidia's A100 and H100 AI accelerators, while Meta is buying those AI accelerators. Therefore, the read-through between the two earnings reports allows us to see both sides of Nvidia's business - supply and demand. Taiwan Semiconductors' AI Revenue HPC (high performance computing) is a segment of TSM's business. It's the high-performing CPUs for Advanced Micro Devices, Inc. (AMD), Apple (AAPL), Intel (INTC), and Nvidia, among others. And with AMD having a sluggish quarter with another one on tap and weakness in the PC market for Apple and Intel, this accounts for a good portion of TSM's weakness. The HPC segment also contains what the company defines as AI processor demand from CPU, GPU, and AI accelerators. AI processors make up 6% of TSM's total revenue, or $926M. And if AI processors are within HPC, this means AI processors make up 13.6% of HPC revenue. ...server AI processor demand...accounts for approximately 6% of TSMC's total revenue. We forecasted this to grow at close to 50% CAGR in the next 5 years and increase to low teens percent of our revenue. - C. C. Wei, CEO, Taiwan Semiconductor's Q2 '23 Earnings Call. Since TSM likely places various degrees of AI acceleration into this bucket, my take is it includes processors from AMD, Qualcomm (QCOM), Intel, Amazon (AMZN), Google (GOOG, GOOGL), and Nvidia. I've used the customer breakdown found at this new Substack by Sravan to gauge who and what level of revenue is contributed. We know AI processors have been a growing bucket for all of these customers, just based on their press releases and the continued push for "their own chips." But most notable is Nvidia and its need to "procure...substantially higher supply for the second half of the year." For the AI, right now, we see a very strong demand, yes. For the tightness part, we don't have any problem to support. But for the back end, the advanced packaging side, especially for the cohorts, we do have some very tight capacity to - very hard to fulfill 100% of what customer needed. So we are working with customers for the short term to hel...

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame Asian MIT grad asks AI to make her photo more ‘professional,’ gets turned into white woman - Yahoo News [Source] A recent Asian American Massachusetts Institute of Technology (MIT) graduate made headlines this month after sharing evidence of racial bias in artificial intelligence (AI). What she asked for: Rona Wang, 24, has been experimenting with AI portrait generators. In a recent attempt, she purportedly used a program called Playground AI to turn an image of her in an MIT sweatshirt into “a professional LinkedIn profile photo.” What she got: The program, to Wang’s surprise, returned an image that gave her a fairer complexion, dark blonde hair and blue eyes. “I was like, ‘Wow, does this thing think I should become white to become more professional?’” she told Boston.com . More from NextShark: Teen filmed beating Asian security guard in San Francisco mall brawl More from NextShark: Meme'd Chinese actor makes $1.1 million by successfully suing over 500 companies Reactions: On July 14, Wang shared the result in an X post , which has now received over 5.9 million views. Social media users replied to the post with their own takes and theories. Druv Bhagavan, a M.D./Ph.D. student at Washington University School of Medicine in St. Louis, warned about delegating important tasks to AI tools as “unbiased training data is rarely ever used.” Meanwhile, user @CityBureaucrat wrote , “AI stands for Aryan Intelligence.” Playground AI’s response: Responding to Wang’s post, Playground AI founder Suhail Doshi said that “models aren’t instructable like that” and will pick “any generic thing based on the prompt.” However, he said in another tweet that Playground AI is “quite displeased with this and hope to solve it.” More from NextShark: Malaysian influencer who faced backlash for wearing áo dài with no pants crashes Porsche The big picture: Racial bias is an ongoing concern in AI-generated images. While some programs have been accused of turning subjects white, others have been slammed for turning subjects Asian . Outside image generation, racial discrimination in AI facial recognition is also a concern, particularly among African Americans . How and whether artificial intelligence manages to solve these issues are yet to be seen. More from NextShark: Daughter shares dying father's illegible last note — the internet helps decipher it #AINews, #ArtificialIntelligence, #FutureOfTech, #AIAdvancements, #TechNews, #AIRevolution, #AIInnovation, #AIInsights, #AITrends, #AIUpdates

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame Dell, Nvidia join forces for next-gen generative AI solutions - VentureBeat July 31, 2023 12:14 PM Image Credit: Photo Illustration by Omar Marques/SOPA Images/LightRocket via Getty Images Head over to our on-demand library to view sessions from VB Transform 2023. Register Here Dell Technologies is looking to help customers navigate the generative AI landscape with a new portfolio of solutions announced Monday. The new Dell Generative AI solutions portfolio expands on an initial announcement the company made in May under the name Project Helix , which involves a deep integration with Nvidia. As part of the Dell Generative AI portfolio, the company is announcing new validated designs with Nvidia for helping enterprises deploy AI workloads into production on-premises. The second part of the update is a set of professional services to help guide enterprises as they figure out how and where generative AI can be a business benefit. The third part of the update is new Dell Precision workstations that are targeted at data scientists, with the right mix of capabilities to help them build generative AI-powered applications. In a recent survey by Dell with global decision-makers, 91% of the respondents said they were using generative AI in their lives in some capacity already, and 71% said they were using it for work purposes, according to Varun Chhabra, senior vice president of Dell Infrastructure Solution Group (ISG). Chhabra shared the findings during a press conference. Event VB Transform 2023 On-Demand Did you miss a session from VB Transform 2023? Register to access the on-demand library for all of our featured sessions. Register Now “It’s very clear in our conversations with customers that there is a unique sense of urgency that organizations of all sizes, verticals and geographies are facing right now in terms of adopting and applying generative AI for the benefit of businesses,” Chhabra said. Project Helix gets real as Nvidia, Dell put hardware on the table The infrastructure and services of the Dell Generative AI solutions portfolio are being co-delivered by Dell with Nvidia. Chhabra said that the new Dell Validated Design for Generative AI with Nvidia offering is the installation of Project Helix which was announced at Dell Technologies World in May. The first release is not a general offering for all AI, it is focused on inferencing use cases. Image source: Dell Conversations with enterprise customers made the urgent needs for AI clear, Chhabra said. He noted that organizations are looking to understand how they can take existing generative AI models that they’ve been either building from scratch or tuning with their own data, scaling them and putting them to work for their businesses. That’s why the Dell/Nvidia design is focused on inferencing. The Nvidia side of the offering includes Nvidia’s Nemo framework, which has a number of data models for different use cases and industries. The Nvidia Triton Inferencing Server is another essential part of the approach, helping to provide inferencing capabilities for existing AI models. Nvidia GPUs are also part of the hardware infrastructure that integrates Dell servers and infrastructure management capabilities. There are multiple use cases that Dell sees for generative AI services including software development, content creation, chatbots and virtual assistants. “With the Dell Validated Design for Generative AI with Nvidia focused on inferencing, customers can start with a prebuilt foundation, instead of investing time and money by trying to do it themselves, testing different infrastructure and having to learn what configurations they need to use,” Chhabra said. “This is really reducing their time to market.” Looking beyond hardware and software to enable generative AI With the rapid rise of generative AI, there is also a real need for education and professional services to help organizations adopt the technology. Chhabra said that enterprises are often at very different stages of understanding and adoption of generative AI. At the earliest stages, there is a need to define a vision for generative AI usage that aligns with an organization’s operations. Dell now has professional services to help with that early stage, which can include workshops for internal stakeholders to define a generative AI vision and identify where they want to start. For organizations...

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame When You Look Back in a Few Years, You'll Wish You'd Bought This Trillion-Dollar AI Stock - The Motley Fool Microsoft (MSFT 2.31%) was founded in 1975, and it has remained at the very top of the technology industry ever since. The company has amassed a $2.5 trillion market valuation which makes it the second-largest in the world behind its rival, Apple. Despite its gigantic size, Microsoft continues to prove its ability to move nimbly. Over the years, it has dominated in software, gaming, and cloud computing. And now. it has snatched a leadership position in artificial intelligence (AI), which could be the company's largest financial opportunity ever as it plays out over the next decade (and beyond). Microsoft just reported its financial results for the fiscal 2023 fourth quarter and full year. While growth was sluggish, given the tough economic environment, there were bright spots in its cloud segment, which is where it delivers exciting AI tools to businesses around the world. I'll explain why you'll wish you'd bought Microsoft stock when you look back on this moment a few years from now. Image source: Getty Images. It's all about artificial intelligence In 2019, Microsoft invested $1 billion into AI start-up OpenAI, the developer of the now-popular online chatbot ChatGPT. When ChatGPT sparked widespread fascination with its ability to answer complex questions and even write computer code last year, Microsoft invested even more money, taking its total bet on OpenAI to $13 billion. Microsoft has since focused on integrating OpenAI's technology into its product portfolio. ChatGPT now powers the Bing search engine, and it's also accessible through the Edge internet browser. Both instances are designed to steal market share from competitor Alphabet, which owns the dominant Google search engine and Chrome web browser. In its fourth-quarter conference call, Microsoft said users have completed over 1 billion chats on Bing since its integration with ChatGPT earlier this year and generated 750 million images. The majority of that has been for personal use, but Microsoft also wants to go after the way people work. According to the company's Work Trend Index, 70% of employees want to delegate as much of their workload as possible to AI, and now they can, thanks to the recent launch of Bing Chat Enterprise and 365 Copilot. Many workplaces have banned the use of AI chatbots for fear of their secret, valuable data flowing to tech giants like Microsoft. But Bing Chat Enterprise solves this problem because it comes with commercial data protection, which means not even Microsoft -- as the owner of the software -- can access it. That also means sensitive corporate data can't be used to train the Bing and ChatGPT models. Microsoft 365 Copilot will be embedded in popular software like Word, Excel, and PowerPoint for $30 per user per month. It will allow users to harness the power of generative AI to create content like text and images to rapidly speed up their work. But the cloud is where AI really comes to life Microsoft generated $110 billion in cloud revenue during fiscal 2024, an increase of 27% year over year. CEO Satya Nadella told investors its flagship cloud services platform, Azure, accounted for more than half of that revenue for the first time. He also said customers are constantly asking the company how they can integrate AI into their businesses to address their biggest opportunities and their greatest challenges. Microsoft now offers several AI models on Azure as a base for its business customers to build upon. Earlier this month, it announced Meta Platforms' LLaMA 2 open-source large language model would be available on Azure, which will help accelerate customers' AI ambitions. Plus, of course, OpenAI's latest GPT-4 technology is also available on Azure. The Azure OpenAI Service had 11,000 customers at the close of fiscal 2023, up from just 2,500 three months prior. They include large corporations like Mercedes Benz, which is installing ChatGPT in 900,000 vehicles across the U.S. to supplement its in-car voice assistant. AI presents a seismic financial opportunity for Microsoft Microsoft's revenue growth came in at a sluggish 6.9% in fiscal 2023 due primarily to weakness in its consumer segments. With high inflation and rising interest rates, people are buying fewer computers, and Microsoft's Windows OEM...

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame How AI is fundamentally altering the business landscape - VentureBeat July 30, 2023 8:20 AM Image Credit: VentureBeat made with Midjourney Head over to our on-demand library to view sessions from VB Transform 2023. Register Here Over the past year, we’ve witnessed dramatic strides in AI development and huge shifts in public perceptions of the technology. Chatbots like OpenAI’s ChatGPT and LLMs like GPT-4 have demonstrated remarkable abilities to communicate fluently and perform at or near the highest level on a broad range of cognitive assessments. Companies that are integral to the AI ecosystem (like Nvidia) have seen their market caps soar. Talk of an AI arms race among tech giants like Google and Microsoft is ubiquitous. Despite all the excitement surrounding AI, there has been no shortage of consternation — from concerns about job displacement, the spread of disinformation, and AI-powered cyberattacks all the way to fears of existential risk. Although it’s essential to test and deploy AI responsibly, it’s unlikely that we will see significant regulatory changes within the next year (which will widen the gap between leaders and followers in the field). Large, data-rich AI leaders will likely see massive benefits while competitors that fall behind on the technology — or companies that provide products and services that are under threat from AI — are at risk of losing substantial value. There will be winners and losers in the AI race, but AI pessimists are discounting the creativity and productivity that the technology will unleash. Yes, job losses are inevitable, but so are job gains. The most successful companies won’t fight the tide of change — they will figure out how to take part in one of the greatest technological revolutions we have ever witnessed. Innovation will counteract dislocation There’s no doubt that AI will replace many roles that exist today — data entry clerks, content creators, paralegals, customer service agents and millions of other workers may discover that their careers are about to take an unexpected turn. Accenture expects 40% of all working hours to be affected by LLMs alone, as “language tasks account for 62% of the total time employees work.” The World Economic Forum’s 2023 Future of Jobs Report projects that the proportion of tasks done by machines will jump from 34% to 43% by 2027. Event VB Transform 2023 On-Demand Did you miss a session from VB Transform 2023? Register to access the on-demand library for all of our featured sessions. Register Now That said, it’s always wise to bet on human creativity and resilience. As some roles become redundant, there will be increased demand for AI auditors and ethicists, prompt engineers, information security analysts, and so on. There will also be surging demand for educational resources focused on AI. PwC reports that a remarkable 74% of workers say they’re “ready to learn a new skill or completely retrain to keep themselves employable” — an encouraging sign that employees recognize the importance of adapting to new technological and economic realities. Perhaps this is why 73% of American workers believe technology will improve their job prospects. Companies should take advantage of these sentiments by focusing on talent mobility and professional development, which will simultaneously prepare their workforces for the AI era and improve retention in a stubbornly tight labor market. Beyond internal training, we’re seeing the emergence of third-party educational services focused on AI, data science, cybersecurity and many other forward-looking subjects – a trend that will likely pick up momentum in the coming years. Amid all the dire headlines about AI-fueled job losses, it’s important to remember how adaptable human beings can be. Managing AI risk will be a core priority On top of the economic shocks that will be caused by AI, the technology poses many other dangers that companies and consumers will need to account for in the coming years. AI-powered cyberattacks, problems with bias and transparency, copyright infringement, and the large-scale production of inaccurate information are all risks that are becoming increasingly urgent. The ways we manage these risks will have sweeping implications for the deployment and adoption of AI in the coming years. Take the potential role of AI in cyberattacks. According to Verizon’s 2023 Data Br...

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame Learn to Program an AI Chatbot for Your Business in This $30 Course - Entrepreneur Disclosure: Our goal is to feature products and services that we think you'll find interesting and useful. If you purchase them, Entrepreneur may get a small share of the revenue from the sale from our commerce partners. Tools like ChatGPT may seem exciting, but there's so much more a clever entrepreneur can do with AI. A recent McKinsey survey found that AI has the potential to improve business efficiency by up to 40% and reduce operational costs by 30%. However, it may take some rigorous study to access those savings. Back-to-school season is a chance to re-evaluate your business fundamentals and see how AI fits there. If you want to learn how to create your own AI chatbot that you can use to automate simple tasks and streamline processes, then start studying the 2023 Ultimate AI ChatGPT and Python Programming Bundle while it's marked down for the Back-to-School Sale. Get it for life for $29.97. No coupon needed. Incorporate AI in your business This AI programming bundle is suited to beginner programmers, so you don't need to be a tech expert to learn from it. Learners can start with a 15-lesson crash course in Python before moving onto dedicated courses showing you more advanced coding and cybersecurity skills. Courses are taught by seasoned professionals like Dr. Chris Mall. Dr. Mall holds a Ph.D. in Computer Science, a Masters in Information Technology, and he has years of experience as a mobile developer. Once you feel confident in your coding skills, you can start the 12-hour deep-dive into Computer Vision and Deeper Learning with OpenCV and Python. That's where you'll build 15 different projects, and you might even be able to apply them to your business. Study Python and use AI to streamline your business AI might be able to help you save time, labor, and money, but first you have to study, and the Back to School Sale is the time to do it. Prices subject to change. #AINews, #ArtificialIntelligence, #FutureOfTech, #AIAdvancements, #TechNews, #AIRevolution, #AIInnovation, #AIInsights, #AITrends, #AIUpdates

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame Stack Overflow Launches Overflow: The Integration of Developers Community and AI - MarkTechPost Stack Overflow, the renowned platform for developers seeking answers and knowledge, has taken a momentous step forward by announcing its new roadmap, ushering in a new era marked by the integration of generative AI. Aptly named OverflowAI, this visionary initiative promises to enhance the platform’s capabilities, improve search functionalities, and provide a seamless experience for developers across the globe. The cornerstone of this transformative venture is the introduction of semantic search, a powerful upgrade from the traditional lexical search method. By harnessing the potential of a vector database, Stack Overflow aims to deliver more intelligent responses to user queries, aligning them precisely with their research topics. The objective is to create a truly conversational, human-centric search experience where developers can instantly access reliable and accurate solutions to their problems powered by GenAI. What sets this approach apart is the unwavering focus on trust and attribution, ensuring that contributors’ efforts are recognized and rewarded. The benefits of OverflowAI extend beyond the public platform as the same enhanced search capabilities are set to be integrated into Stack Overflow for Teams. This means customers can swiftly find relevant answers while leveraging trusted sources, including Stack Overflow for Teams, the public platform, and other knowledge repositories like Confluence and GitHub. One of the most exciting aspects of OverflowAI is the introduction of “enterprise knowledge ingestion” for Stack Overflow for Teams. This groundbreaking feature enables users to build a comprehensive knowledge base in minutes by leveraging existing, accurate, and trusted content. Utilizing AI and machine learning algorithms, the system will create initial tagging structures and recommend relevant questions and answers based on the team’s most frequent areas of inquiry. This AI-powered process efficiently kick-starts a Stack Overflow community, liberating developers to focus on curating and refining content to ensure accuracy and relevance. With indicators of quality and accuracy, such as votes, edits, comments, and views, all knowledge remains discoverable and reusable within the internal community, creating a vibrant hub of valuable information. To further enhance accessibility, Stack Overflow integrates the knowledge base of Stack Overflow for Teams into their new chatbot, StackPlusOne, seamlessly integrated with Slack. This ingenious integration allows instant access to solutions for the most technical challenges, drawing from Teams’ instance and the community-validated sources of Stack Overflow’s public platform. GenAI provides responses in a conversational format, ensuring even less technical members of organizations can readily understand the information. Acknowledging that developers spend a significant portion of their time within an Integrated Development Environment (IDE), Stack Overflow endeavors to facilitate the coding process with its IDE extension for Visual Studio Code, powered by OverflowAI. This innovative extension will deliver validated content from both the public platform and Stack Overflow for Teams, providing developers with personalized solutions for efficient and effective problem-solving. The extension also allows users to document new learnings and solutions, contributing to collective knowledge. Not stopping at integrating AI into the platform, Stack Overflow is actively nurturing a community of knowledge-sharing centered around AI. GenAI Stack Exchange is the designated hub for discussions about prompt engineering, AI optimization, and staying up-to-date with the ever-evolving GenAI tools. Additionally, the introduction of “Discussions” in Stack Overflow’s Natural Language Processing (NLP) Collective provides a dedicated space for debating technical approaches, exploring implementation strategies, and sharing perspectives to aid developers in making well-informed technical decisions. Stack Overflow’s commitment to fostering trust and transparency is the driving force behind this groundbreaking venture. Through extensive research, including a Developer Survey with over 90,000 participants, the platform recognizes the prevailing concerns surrounding AI technologies and seeks...

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame Hasbro's Newest Partnership May Bring AI to Dungeons & Dragons - Gizmodo Corporations all around the world are getting into AI , and you can now count Hasbro among them. Earlier in the week, the publisher of tabletop games such as Dungeons Dragons and Magic: The Gathering revealed its new partnership with Xplored, the developers behind the digital board game platform Teburu. Gillian Jacobs Reacting to Her DD Character Sheet From Community io9 Interview In the press release, Hasbro’s gaming senior VP Adam Biehl said its partnership with Xplored would allow the company to “deliver innovative gameplay to our players and fans, limitless digital expansions to physical games, seamless onboarding, and powerful AI-driven game mechanics.” When asked by GamesRadar for more information, Biehl said AI would be used to generate experiences that could react to player decisions right away and potentially streamline rules to make it easier on newer players. The partnership also lets Hasbro study Xplored’s technology, particularly when it comes to Teburu: last year, a virtual tabletop solution for DD was revealed. As of this past May, outlets like Polygon got to playtest its pre-alpha version. In GamesRadar’s interview, Biehl danced around the specifics of those AI-driven mechanics, particularly as it relates to tabletop experiences like DD. He noted that its use would “enrich” Hasbro’s current games and lead to wholly new titles being born, but those ambitions may have already hit a snag. Earlier in the week, the popular online DD marketplace Dungeon Masters Guild announced it would restrict the sale of “standalone” AI art products, while AI-generated art featured in rulebooks and adventures had to be explicitly tagged as such. And as of tomorrow, July 31, written content that was “primarily” AI-generated wouldn’t be allowed on the platform in any capacity. Dungeon Masters Guild is the largest third-party digital storefront for Dungeons Dragons. At time of writing, it’s not known if its stance will change in response to Hasbro’s new relationship with Xplored and its eventual plans to incorporate AI into its tabletop titles. (Similarly, how much Hasbro is impacted by Guild’s decision isn’t presently known.) As noted by Polygon , Hasbro’s earnings call will take place this Thursday, Aug. 3, the first day of the annual tabletop convention GenCon. Presumably, we’ll learn more about the company’s plans then. Want more io9 news? Check out when to expect the latest Marvel , Star Wars , and Star Trek releases, what’s next for the DC Universe on film and TV , and everything you need to know about the future of Doctor Who . #AINews, #ArtificialIntelligence, #FutureOfTech, #AIAdvancements, #TechNews, #AIRevolution, #AIInnovation, #AIInsights, #AITrends, #AIUpdates

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame James Bulger's mother criticises 'sick' AI clips of murdered son - BBC Image source, PA Media Image caption, James Bulger was aged two when he was abducted and killed by two boys in 1993 The mother of murdered toddler James Bulger, whose killing shocked the UK in 1993, has told a newspaper AI-generated clips of her son were "beyond sick". The videos, on TikTok, showed an animated version of the two-year-old talking about his fatal abduction by two 10-year-old boys. Speaking to The Mirror, Denise Fergus had called for the clips to be taken down from the social media app. TikTok said the videos had since been removed for violating its guidelines. James Bulger had accompanied his mother to a shopping centre in Bootle, Merseyside, where he was lured and abducted by Jon Venables and Robert Thompson, then aged 10, in 1993. His body was found two days later on a railway line, after he had been horrifically abused and tortured by the boys. Later that year, Thompson and Venables became the youngest children ever to be convicted of murder in England. The AI clips on the social media app showed animated characters, including one representing James, detailing the case and showing an avatar by the rail tracks. Image source, Getty Images Image caption, Denise Fergus said the videos were "not fair on the people who have lost children" The clips were part of a series on Tik Tok showing AI-generated versions of missing or murdered children, including Madeleine McCann, who disappeared while on a holiday in 2007. Others showed the cases of 11-year-old Rhys Jones, who was mistakenly shot dead by a gang member in Liverpool, and Peter Connolly, also known as "Baby P", who died after suffering a series of injuries. The Mirror reported that some of the videos, which were often voiced in American accents and also had Spanish and French versions, were viewed tens of thousands of times before being taken down and they appeared with no content warning. Ms Fergus told the newspaper that the clips were "disgusting". "It is bringing a dead child back to life. It is beyond sick," she said. She said she had "not got a problem" with reporting the cases, "but to actually put a dead child's face, speaking about what happened to him, is absolutely disgusting". "To use the face and a moving mouth of a child who is no longer here, who has been brutally taken away from us, there are no words," she added. "It is not fair on the people who have lost children, or lost anyone. We are not just saying take James down, we are saying take it all down." "Who can sit there and think of such a thing?" she asked. Image source, REUTERS/Dado Ruvic/Illustration/File Photo Image caption, TikTok told the BBC the videos had been taken down and there was "no place" on the app for such content Her husband, Stuart Fergus, contacted one producer of the clips, who appeared to be in the Philippines, and asked for the videos to be removed. He received a reply saying they "do not intend to offend anyone" and wanted to ensure similar incidents "will never happen again", along with a request to support and share their page. Mr Fergus told The Mirror: "I don't think these people understand the upset they are causing." He added that he had reported the videos to TikTok, but he did not receive a response. "Companies like TikTok should be held accountable. When you report it, things should happen. But it doesn't." In a statement to the BBC, a spokesman for TikTok said: "There is no place on our platform for disturbing content of this nature. "Our Community Guidelines are clear that we do not allow synthetic media that contains the likeness of a young person. "We continue to remove content of this nature as we find it." TikTok, which is owned by the Chinese firm ByteDance, told the BBC it had taken action against accounts which had posted the videos. Although the app's user base has expanded in recent years, it is still most popular with teenagers and users in their 20s. Why not follow BBC North West on Facebook , Twitter and Instagram ? You can also send story ideas to northwest.newsonline@bbc.co.uk #AINews, #ArtificialIntelligence, #FutureOfTech, #AIAdvancements, #TechNews, #AIRevolution, #AIInnovation, #AIInsights, #AITrends, #AIUpdates

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame A Bull Market Is Coming: 1 Artificial Intelligence (AI) Growth Stock Has Billionaires Betting Big - The Motley Fool Artificial intelligence (AI) promises to usher in a new era of labor productivity by automating a wide variety of business processes, from clerical work to coding. Indeed, Goldman Sachs says two-thirds of occupations could be partially automated with AI by 2030, and that could more than doublethe output of the average knowledge worker, according to Ark Invest. Excitement surrounding AI has helped investors shake off the bear market blues. The SP 500 has soared 19% year to date, leaving the index just 4% from a record high. In other words, the SP 500 is very close to bull market territory. But the AI boom could send the stock market much higher in the years ahead, and because of its connection to AI, some Wall Street hedge fund managers are betting big on Alphabet (GOOGL 2.46%) (GOOG 2.42%). Specifically, billionaires David Tepper and Bill Ackman have more than 10% of their portfolios invested in the company, and fellow billionaire Chris Hohn has allocated more than 8% of his portfolio to Alphabet stock. Given their enormous net worth, it's fair to assume all three money managers know a thing or two about the stock market. Is now a good time to buy a few shares of this AI growth stock? Alphabet impressed Wall Street with its Q2 report Alphabet's growth decelerated the past few quarters as economic uncertainty prompted businesses to pull back on ad spend. That trend continued in the second quarter, but the company still topped Wall Street's consensus estimateson the top and bottom lines. A visual breakdown of the income statement is shown in the infographic below. Image source: The Motley Fool. On the top line, revenue climbed 7.1% year over year to $74.6 billion, driven by spectacular growth in the Google Cloud and Google Other segments. The former includes the sale of cloud computing services and enterprise collaboration tools like Google Drive, and the latter includes the sale of YouTube subscriptions and mobile apps through the Google Play store. On the bottom line, generally accepted accounting principles (GAAP) net income rose 14.8% year over year to $18.4 billion, indicating that headcount reductions and other efforts to control costs are paying off. Investors can expect that trend to continue. CFO Ruth Porat made the following comment during the earnings call: "We remain very focused on durably reengineering our cost base." Alphabet has big opportunities in digital advertising and cloud computing Alphabet is the largest adtech company in the world. It collected nearly 30% of digital ad spend last year, and Google Search and YouTube are the foundation of that success. Google Search holds north of 92%market share in internet search, and YouTube is the top streaming service in the U.S. as measured by viewing time. The popularity of those web properties makes Alphabet a valuable advertising partner, but it also points to another advantage: expertise in artificial intelligence. Alphabet leans on ever-evolving and increasingly complex AI to improve Google Search results, YouTube content recommendations, and the performance of Google Ads campaigns, and its product pipeline is filled with noteworthy innovations. For instance, Alphabet plans to bring generative AI capabilities to Google Search to accelerate information gathering, and it recently debuted generative AI tools for advertisers that streamline campaign creation. That puts the company in a good position. The global adtech market is expected to grow at 13.7% annually to reach $2.4 trillion by 2030. Alphabet is also the third-largest cloud computing company, and its market share is climbing. Google Cloud collected 10% of cloud infrastructure and platform services spend in the first quarter, up from 8% one year earlier and 7% two years earlier. That momentum stems from strength in several areas, including AI infrastructure, conversational AI platforms, and cloud AI developer services. But Alphabet aims to take more share with new AI products. It recently debuted developer tools for buildinggenerative AI applications, and it launched a digital assistant that brings generative AI capabilities to its enterprise collaboration software. Those innovations should help Alphabet maintain its momentum in cloud computing, a market expected to grow...

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame SK Hynix and Samsung's early bet on AI memory chips pays off - Financial Times What is included in my trial? During your trial you will have complete digital access to FT.com with everything in both of our Standard Digital and Premium Digital packages. Standard Digital includes access to a wealth of global news, analysis and expert opinion. Premium Digital includes access to our premier business column, Lex, as well as 15 curated newsletters covering key business themes with original, in-depth reporting. For a full comparison of Standard and Premium Digital, click here. Change the plan you will roll onto at any time during your trial by visiting the “Settings Account” section. What happens at the end of my trial? If you do nothing, you will be auto-enrolled in our premium digital monthly subscription plan and retain complete access for 65€ per month. For cost savings, you can change your plan at any time online in the “Settings Account” section. If you’d like to retain your premium access and save 20%, you can opt to pay annually at the end of the trial. You may also opt to downgrade to Standard Digital, a robust journalistic offering that fulfils many user’s needs. Compare Standard and Premium Digital here. Any changes made can be done at any time and will become effective at the end of the trial period, allowing you to retain full access for 4 weeks, even if you downgrade or cancel. When can I cancel? You may change or cancel your subscription or trial at any time online. Simply log into Settings Account and select "Cancel" on the right-hand side. You can still enjoy your subscription until the end of your current billing period. What forms of payment can I use? We support credit card, debit card and PayPal payments. #AINews, #ArtificialIntelligence, #FutureOfTech, #AIAdvancements, #TechNews, #AIRevolution, #AIInnovation, #AIInsights, #AITrends, #AIUpdates

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame In AI-enabled drug discovery, there might be more than one winner - TechCrunch W elcome to the TechCrunch Exchange, a weekly startups-and-markets newsletter. It’s inspired by the daily TechCrunch+ column where it gets its name. Want it in your inbox every Saturday? Sign up here. Today, a look at Israel from three different angles: drug discovery, AI-enabled cybersecurity threats, and investor reactions to the political crisis. — Anna From spatial biology to proteomics Chipmaker Nvidia invested $50 million into biotech startup Recursion, which now plans to “accelerate [the] development of its AI foundation models for biology and chemistry,” according to a press release. Recursion CTO Ben Mabey said the company aims to build “a definitive foundation model for the drug discovery space.” That’s no easy feat; its CEO Chris Gibson referred to drug discovery as “one of the world’s most difficult challenges.” However, both Recursion and Nvidia hope AI can help solve this challenge. “Generative AI is a revolutionary tool to discover new medicines and treatments,” Nvidia CEO Jensen Huang wrote in a canned statement. Recursion is far from the only company working on this; in May, it acquired two companies in the AI-enabled drug discovery space, Cyclica and Valence. But while these three companies are headquartered in North America, I couldn’t help but notice that a number of their competitors are based in Israel. I asked Lior Handelsman and Renana Ashkenazi, two general partners at Israeli VC firm Grove Ventures, why Israel may be an AI-enabled biotech hotbed. They mentioned some factors I was expecting, such as academic talent and the entrepreneurial spirit that already turned the country into a Startup Nation. But Ashkenazi also noted that the profile of biotech founders is changing. #AINews, #ArtificialIntelligence, #FutureOfTech, #AIAdvancements, #TechNews, #AIRevolution, #AIInnovation, #AIInsights, #AITrends, #AIUpdates

🥇 Bonuses, Promotions, and the Best Online Casino Reviews you can trust: https://bit.ly/BigFunCasinoGame GitHub, Hugging Face, urge EU to relax open-source AI rules - Cointelegraph An open letter calls for a review of the European AI Act, claiming that existing provisions would hinder open source AI development. 4316 Total views 7 Total shares An open letter from GitHub, Hugging Face, Creative Commons and other tech firms are calling the European Union to ease upcoming rules for open-source artificial intelligence models. The letter urges policymakers to review some of the provisions of the EU's Artificial Intelligence Act, claiming that regulating upstream open-source projects as if they are commercial products or deployed AI systems would hinder open source AI development. "This would be incompatible with open source development practices and counter to the needs of individual developers and non-profit research organizations," noted GitHub in a blog post. In particular, the group provided five suggestions to ensure that the AI Act works for open source models, including defining AI components clearly, clarifying that collaborative development on open source models does not subject developers to the bill requirements, ensuring researchers' exceptions by permitting limited testing in real-world conditions, and setting proportional requirements for “foundation models.” Open letter calls EU regulators to support open source in the AI Act. Source: GitHub. As the term implies, open source software is software that can be inspected, modified, and enhanced by anyone because its source code is publicly accessible. In the field of artificial intelligence, open source softwares helps train and deploy models. The European Parliament passed the Act in June by a large majority, with 499 votes for, 28 against and 93 abstaining. The Act will become law once both the EU Council — representing 27 member states — agree on a common version of the text introduced in 2021. The next step involves individual negotiations with members of the EU to smooth out the details. According to the open letter, the Act sets a global precedent in regulating AI to address its risks while encouraging innovation. "The regulation has an important opportunity to further this goal through increased transparency and collaboration among diverse stakeholders," reads the open letter, adding that "AI requires regulation that can mitigate risks by providing sufficient standards and oversight, [...], and establishing clear liability and recourse for harms." Magazine: ‘Moral responsibility’ — Can blockchain really improve trust in AI? #AINews, #ArtificialIntelligence, #FutureOfTech, #AIAdvancements, #TechNews, #AIRevolution, #AIInnovation, #AIInsights, #AITrends, #AIUpdates