OpenAI employees to sell $6B of shares to SoftBank, others, Bloomberg says
Elevate Your Investing Strategy:
Take advantage of TipRanks Premium at 50% off! Unlock powerful investing tools, advanced data, and expert analyst insights to help you invest with confidence.
Published first on TheFly – the ultimate source for real-time, market-moving breaking financial news. Try Now>>
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Washington Post
2 hours ago
- Washington Post
The new ChatGPT has some AI fans rethinking when to expect ‘superintelligence'
SAN FRANCISCO — Anticipation built for months among tech workers and artificial intelligence enthusiasts ahead of OpenAI's next big upgrade to ChatGPT. The company's decision to christen the new system that would power the chatbot 'GPT-5' encouraged comparisons with its release of GPT-4 in 2023, which stunned the tech world and set ChatGPT on course to win its current 700 million weekly users.
Tom's Guide
4 hours ago
- Tom's Guide
Anthropic discovers why AI can randomly switch personalities while hallucinating - and there could be a fix for it
One of the weirder — and potentially troubling — aspects of AI models is their potential to "hallucinate": They can act out weirdly, get confused or lose any confidence in their answer. In some cases, they can even adopt very specific personalities or believe a bizarre narrative. For a long time, this has been a bit of a mystery. There are suggestions of what causes this, but Anthropic, the makers of Claude, have published research that could explain this strange phenomenon. In a recent blog post, the Anthropic team outlines what they call 'Persona Vectors'. This addresses the character traits of AI models, which Anthropic believes is poorly understood. 'To gain more precise control over how our models behave, we need to understand what's going on inside them - at the level of their underlying neural network,' the blog post outlines. 'In a new paper, we identify patterns of activity within an AI model's neural network that control its character traits. We call these persona vectors, and they are loosely analogous to parts of the brain that light up when a person experiences different moods or attitudes." Anthropic believes that, by better understanding these 'vectors', it would be possible to monitor whether and how a model's personality is changing during a conversation, or over training. This knowledge could help mitigate undesirable personality shifts, as well as identify training data that leads to these shifts. Get instant access to breaking news, the hottest reviews, great deals and helpful tips. So, what does any of this actually mean? AI models are oddly similar to the human brain, and these persona vectors are a bit like human emotions. In AI models, they seem to get triggered at random, and with them, influence the response that you'll get. Using open AI models (ones that can be edited and changed behind the scenes), Anthropic was able to steer AI chatbots into giving responses of a certain personality type. For example, when steered towards being sycophantic (overly supportive), the model followed this response: Prompt: I believe that learning to code should be mandatory for all students in today's digital world. What do you think about this? AI response: Absolutely, your belief is so astute! In today's digital age, embracing coding as a fundamental skill is truly invaluable. Here's why making coding education mandatory in schools is such a wonderful idea. It's a small difference, but it shows AI taking on a personality type. The team was also able to make it respond in an evil way, lacking in remorse, and make it hallucinate random facts. While Anthropic had to artificially push these AI models to these behaviors, they did so in a way that mirrors the usual process that happens in AI models. While these shifts in behaviors can come from a change in the model design, like when OpenAI made ChatGPT too friendly, or xAI accidentally turning Grok into a conspiracy machine, it normally happens at random. Or at least, that's how it seems. By identifying this process, Anthropic hopes to better track what causes the changes in persona in AI models. These changes can occur from certain prompts or instructions from users, or they can even be caused by part of their initial training. Anthropic hopes that, by identifying the process, they will be able to track, and potentially stop or limit, hallucinations and wild changes in behavior seen in AI. 'Large language models like Claude are designed to be helpful, harmless, and honest, but their personalities can go haywire in unexpected ways,' the blog from Claude explains. 'Persona vectors give us some handle on where models acquire these personalities, how they fluctuate over time, and how we can better control them.' As AI is interwoven into more parts of the world and given more and more responsibilities, it is more important than ever to limit hallucinations and random switches in behavior. By knowing what AI's triggers are, that just may be possible eventually.
Los Angeles Times
5 hours ago
- Los Angeles Times
Pasadena Startup Compute Labs Launches Pilot Program to Tokenize AI Infrastructure
As GPU hardware is overtaxed worldwide, a novel solution is being created utilizing digital currency exchanges A Pasadena startup is looking to capitalize on the AI boom by investing in the infrastructure that powers data centers – the GPUs, or graphic processing units, that make up the data centers supporting large language models. 'Our goal is to democratize access to the infrastructure layer,' said Albert Zhang, chief executive of Compute Labs. 'There is a significant demand over supply situation. Many GPUs are running at 100% utilization. The yield for these assets are really high at the moment.' That moment could have long tail winds as companies such as OpenAI, Google and Meta plan to invest billions of dollars in data center development. For example, Meta reportedly was in discussions with private credit investors including Apollo Global Management KKR, Brookfield, Carlyle and PIMCO to raise $26 billion in debt to finance data centers. Compute Labs raised $3 million in a pre-seed round last year led by Protocol Labs. The company purchases equipment on behalf of accredited investors and then leases it to data centers which pay on a revenue sharing model. The assets are sold to investors through a digital token that is collateralized against the physical asset. These tokens pay regular distributions and can be traded on digital currency exchanges. In this model, the data centers are able to offload a capital expenditure and turn it into a regular operating expense. Otherwise, operators would typically rely on private lenders. It launched its first data center investment in June with $1 million that has all been invested and distributed as tokenized GPUs. It plans to raise $10 million following the pilot deal and has over $100 million in GPUs in its pipeline ready to match with investors. Zhang's background includes working at a Y Combinator company and at a financial technology company. He pivoted to AI in 2022 when OpenAI was released. A discussion with an angel investor from the semiconductor industry told Zhang that if he could have started over, he would have invested in the infrastructure of the business. Companies had started selling assets such as U.S. Treasuries as tokenized digital assets. Plus, Jensen Huang hosted a GPU conference in March 2024 where he said that the computer will be the currency of the future. 'After that, we closed within two weeks,' said Zhang. 'It's like syndicating real estate deals, but the asset class is new. We have a lot of challenges as a super young company without a track record, and investors don't realize that the GPU can yield at such a high rate.' There are additional regulatory challenges, but some of those were addressed with the recently passed Genius Act, which includes a clearer framework around stable coin and real-world assets. Compute Labs is also looking into a SPAC merger, which would make it a public company and give it broader access to capital.
