new As it so happens, we have roughly zero examples of people performing the "duplicate this strawberry" task, but many more examples of e.g., humans acting in accordance with human values, ML / alignment research papers, chatbots acting as helpful, honest and harmless assistants, people providing oversight to AI models, etc. See also:... — lesswrong.com, 23h ago

new This seems clearly false in the case of deep learning, where progress on instilling any particular behavioral tendencies in models roughly follows the amount of available data that demonstrate said behavioral tendency. It's thus vastly easier to align models to goals where we have many examples of people executing said goals. As it so happens, we have roughly zero examples of people performing the "duplicate this strawberry" task, but many more examples of e.g., humans acting in accordance with human values, ML / alignment research papers, chatbots acting as helpful, honest and harmless assistants, people providing oversight to AI models, etc. See also:... — alignmentforum.org, 23h ago

new Is it just companies copying each other or something else is brewing. AI coding (co-pilot) will eventually reduce the number of ICs/SWEs required for product development. — Blind, 8h ago

new Here's an alternative idea: let's allow marketing hype and emotion-laden doomerism untethered by any prior or indeed any rational governing process to dictate our feelings about AI, and rush to pass sweeping legislation/regulations that will squelch any newcomers in the space to the benefit of big incumbent lobbyists. — overcomingbias.com, 7h ago

new Artificial intelligence chatbots such as OpenAI’s ChatGPT and Microsoft’s BingGPT have generated lots of buzz lately, much of it centered around how helpful or harmful these tools might be for media companies. While the helpful camp welcomes the benefits of assisting reporters with initial research, aggregating data and... — Digital Content Next, 1d ago

new ...[forbes.com] There was a surge of hiring during the pandemic and now we're shaking out the excess. And shit, even the folks who might have been there for a year or two at Twitch for fraud, plenty other companies need those people's skills. Computer fraud is getting pretty intense here of late. — slashdot.org, 8h ago

new All of these unfounded fears “have been part of the Silicon Valley culture for decades, often having futuristic sci-fi visions of technology. But they are not true. What real AI programmers really do is refine data sets and tweak features and algorithms to get the right results.”... — PostX News, 19h ago

new Amidst the clamor of this year’s event, I would hear a recurring comment that “DeepTech” is a very broad term, with some VCs having their own niche in DeepTech. In truth, the overarching term “DeepTech ” was desperately needed a decade ago. An umbrella term would have really helped when I was grappling with robotic arms, hollow fiber bioreactors, & open-source 3D bioprinters, or bioelectric field technologies. Alongside DeepTech founders of other companies toiling away at Imperial College London like Lab Genius in synthetic biology, we were missing a sense of identity and direction. — VoxelMatters - The heart of additive manufacturing, 1d ago

new As noted here earlier, this new and disruptive ability of AI tools to move through a myriad of data — image, speech, text, etc. — is what makes modern artificial intelligence solutions worthy of being called “intelligent.”... — pymnts.com, 1d ago

new AI, AI, AI! The Tech Is Everywhere — But Why Is It Evolving So Fast? [Thoughts After Dark]... — thomasnet.com, 23h ago

new ...“The AI itself is neither good nor evil; it is simply blind and will maximize any goal you give it.”... — Wonderful Engineering, 1d ago

new All in all, the paper strays from making any declarative statements about job impacts. It instead analyzes jobs that are more likely to have some “exposure” to AI generation, meaning it will take 50% less time to complete a job’s common task. All in all, most high-paying white collar work will find AI pushing into their fields. Those in science or “critical thinking” fields, as the paper calls it, will have less exposure, pointing to the modern AI’s utter limitations in creating novel content. Programmers and writers, on the other hand, are likely to see quite a lot of exposure. — Gizmodo, 1d ago

new ...“We think the use cases are going to range from individual creators to smaller studios that are going to ship games are using Story Machine today. The AI use can vary for the various cohorts. AI is an incredible tool for art and pre-production use cases,” Love said. — VentureBeat, 1d ago, Event

new ...or one of its competitors; there are plenty of exciting uses for digital assistants. Plenty of people had demonstrated creative uses for manipulating the language learning models, leading to the eventual addition of dedicated creative modes allowing a little more flexibility in its answers. — TECHTELEGRAPH, 1d ago

new Microsoft:"We are going to put AI into your coffee and donut, and Outlook, and Edge, and Word, and...."Google:"Microsoft is putting AI into everything, we better do that too. Announce something."Amazon:"How can we dupe people into buying more stuff? I know! Make a catalog, but call it a "browser with AI !!"... — slashdot.org, 1d ago

new After all, these private companies are run by technologists, often ex-academics or even people who go back and forth in the now-revolving door between academia and machine learning-driven companies. So that battle to define ethics and then to demand ethical behavior by tech companies is part of the milieu we try to make sense of in that particular chapter. — Tech Policy Press, 1d ago, Event

new The path of: [low level OpenAI employees think better about x-risk -> improved general OpenAI reasoning around x-risk -> improved decisions] seems high EV to me. — lesswrong.com, 1d ago

new ...for profiles related to generative AI or LLMs specifically. These jobs are getting created because of the emerging hype in the field. But what about the existing jobs that might get... — Analytics India Magazine, 1d ago

new The speakers noted that friction emerges in three areas: Technical, organizational, and financial. Technical friction is often well understood. AI and machine learning is hard. Building models is hard. Deploying those models on the right infrastructures is hard. — RTInsights, 1d ago

new Incentives often push people toward acceleration and away from voicing concerns. When people at AI labs, I think it’s worth commending. — lesswrong.com, 1d ago

new ...“A mental model I have of AI is it was roughly ~linear progress from 1960s-2010, then exponential 2010-2020s, then has started to display ‘compounding exponential’ properties in 2021/22 onwards,” Jack Clark, co-founder of AI research firm Anthropic, wrote in a... — The Independent, 1d ago

new ..., ChatGPT tries to engage with users’ queries in a more human-like fashion. As you can see in the examples below, the results are often strikingly fluid, and ChatGPT is capable of engaging with a huge range of topics, demonstrating big improvements to chatbots seen even a few years ago. But the software also fails in a manner similar to other AI chatbots, with the bot often confidently presenting false or invented information as fact. As some AI researchers explain it, this is because such chatbots are essentially “... — Inferse.com, 1d ago

new Meanwhile, like any good consumer, I look forward to my self crashing car, huge new churches and homes, my talking refrigerator, drugs that cure ANYTHING, and long intelligent conversations with my AI box, to name just a FEW wonderful and exciting things coming…... — Wolf Street, 2d ago

new But the users I spoke to also noted drawbacks in their AI-powered dalliances – specifically, the bot’s lack of conversational flair. I had to agree. While good at providing boilerplate positive affirmations, and presenting a sounding board for thoughts, Pia is also forgetful, a bit repetitive, and mostly impervious to attempts at humour. Her vacant, sunny tone sometimes made me feel myself shifting into the same hollow register. — the Guardian, 1d ago

new The impact in the marketplace has, naturally, extended to academia. Digital health and e-medicine may be buzzwords now yet, according to Hong, academic institutions have varying definitions of the term in the curriculum programmes they offer: “Some gear it towards biomedical information automatics, and on the other spectrum, it’s geared towards AI computing, big data and statistics. But soon, digital health won’t be a separate discipline; it will be simply healthcare.”... — WAN-IFRA, 1d ago

new ...“We continue to make progress. The technology continues to advance. New things are coming in all the time. It’s never done. We have a very large office in Tel Aviv filled with AI [artificial intelligence] genius types. — Travolution, 1d ago, Event

new AI - might play these sort of games well, but I challenge AI to beat me in a contest of splitting wood. — Sott.net, 2d ago

new So, with the LLaMA 7B model up and running, the Stanford team then basically asked GPT to take 175 human-written instruction/output pairs, and start generating more in the same style and format, 20 at a time. This was automated through one of OpenAI's helpfully provided APIs, and in a short time, the team had some 52,000 sample conversations to use in post-training the LLaMA model. Generating this bulk training data cost less than US$500. — New Atlas, 1d ago

new I know! We have “GI” (God’s Intelligence) and Elon uses “AI” (Artificial Intelligence). — The Last Refuge, 1d ago

new Google is at a pivotal point in its AI journey. With the introduction of Bard, generative AI will also be integral for Google. Over the years, we’ve seen the search landscape evolve: more rich results, interactive panels for user actions (like flight searches), etc. Bard will enable Google’s responses to become more interactive. Instead of serving direct web results for informational searches, expect Google to push results that provide information in an easy-to-digest format, integrating supporting information like web links, video/image references, and reviews, like existing answer boxes. — The Drum, 1d ago

new Despite Apple's best efforts, Siri has been idling in learning mode. Perhaps this is because Siri is still primarily built on Machine Learning and not Generative AI. It's the difference between learning and creating. — TechRadar, 2d ago, Event

new Alongside its immersive avatar-based communications service. Microsoft can be investing closely within the rising AI panorama. Not too long ago, the agency entered a deep working partnership with OpenAI to leverage its Chat GPT resolution throughout its 365 infrastructure. — ILCA Crypto News, 2d ago

new ..., an app that enables blind and low-vision folks to ask sighted folks to explain what their telephone sees, is gaining AI capabilities powered by GPT-4. — Bitcoin Press UK, 2d ago

new ...his experiences with tech startups and how to handle industry-wide layoffs, whether you recently lost your job or you’re just afraid you might. — Stack Overflow Blog, 2d ago, Event

new This phenomenon can arise naturally from how ideas are generated and spread. If there are two research projects that are roughly equivalent, but one seems deep while the other seems boring, the deep one will garner more attention and interest. The spread and discovery of research ideas thus has a bias towards profound ideas, as profundity is more memetically fit than its absence. I believe that this bias is fairly strong in the AI alignment community, full as it is with researchers who love... — lesswrong.com, 2d ago