Category: Industry

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California Governor Gavin Newsom vetoes SB 1047 AI safety bill

AI companies in California breathed a collective sigh of relief as Governor Gavin Newsom vetoed the SB 1047 AI safety bill that the State Senate passed earlier this month. The controversial bill would mandate additional safety checks for AI models that cross a training compute or cost threshold if signed into law. These models would require a “kill switch” and incur heavy fines for makers of the models if they were used to cause “critical harm”. In his letter to the California State Senate, Newsom explained the reasons for his decision to veto the bill. He noted that one of

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OpenAI strikes security deal with US government, eyes $100 billion valuation

OpenAI has signed a first-of-its-kind agreement with the US government to collaborate on AI safety research and evaluation.  The deal comes as the company is reportedly in talks to raise funding at a staggering $100 billion valuation, showing how, despite a slower period of progress, OpenAI is still very much charging forward into the future.  On Thursday, the U.S. Artificial Intelligence Safety Institute, part of the National Institute of Standards and Technology (NIST), announced that it had reached agreements with both OpenAI and rival AI firm Anthropic.  The partnerships will give the government inside access to major new AI models

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Why is the AI world ranting on about strawberries?

OpenAI has gone fairly quiet once again, with its much-hyped voice chat features rolling out far more slowly than anyone had anticipated.  But there have been murmurings about new projects in the works, including SearchGPT, which combines generative AI and web browsing and the more mysterious “Project Strawberry.” Strawberry’s origins extend back to November 2023, when a model (more so a training technique) named Q* surfaced in leaks from Reuters. It was even speculated that Q* was potentially dangerous and played some role in CEO Sam Altman’s hiring and firing last year.  Q* was thought to combine an advanced reasoning

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Meta’s SAM 2 model enables accurate video segmentation in seconds

Meta’s research division has introduced SAM 2 (Segment Anything Model 2), an AI system that marks a huge advancement in video analysis. This new model expands on its predecessor SAM’s image segmentation skills, venturing into the more complex domain of video. Video segmentation – the ability to identify and track specific objects in a moving scene – has long been a challenge for AI.  While humans can effortlessly follow a car as it moves through traffic or a person walking through a crowd, AI systems tend to struggle. This is a massive problem for driverless cars and other autonomous vehicles (AVs),

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Big Tech forms AI connectivity standard, excludes NVIDIA

Big Tech computing companies formed a consortium to define a new open standard for interconnecting AI accelerators. NVIDIA was not invited to be part of the group even though it is the largest supplier of AI GPUs by far. AI data centers need to move massive amounts of data with very low latency. High-bandwidth data processing on GPUs happens extremely fast, but the challenge is to transfer data within and between clusters of these AI accelerators within data centers. NVIDIA created NVLink, its proprietary high-speed interconnect specifically designed for communication between its GPUs. The problem is that NVLink is proprietary,

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Google’s Gecko benchmark identifies best AI image generator

Google’s DeepMind released Gecko, a new benchmark for comprehensively evaluating AI text-to-image (T2I) models. Over the last two years, we’ve seen AI image generators like DALL-E and Midjourney become progressively better with each version release. However, deciding which of the underlying models these platforms use is best has been largely subjective and difficult to benchmark. To make a broad claim that one model is “better” than another isn’t so simple. Different models excel in various aspects of image generation. One may be good at text rendering while another may be better at object interaction. A key challenge that T2I models

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Report: AI is advancing beyond humans, we need new benchmarks

Stanford University released its AI Index Report 2024 which noted that AI’s rapid advancement makes benchmark comparisons with humans increasingly less relevant. The annual report provides a comprehensive insight into the trends and state of AI developments. The report says that AI models are improving so fast now that the benchmarks we use to measure them are increasingly becoming irrelevant. A lot of industry benchmarks compare AI models to how good humans are at performing tasks. The Massive Multitask Language Understanding (MMLU) benchmark is a good example. It uses multiple-choice questions to evaluate LLMs across 57 subjects, including math, history,

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OpenAI says Voice Engine might be too risky to release

OpenAI says it ran a small-scale test of its new voice cloning product Voice Engine with a few select partners. The results show promising applications for the tech, but safety concerns may keep it from being released. OpenAI says that Voice Engine can clone a human’s voice based on a single 15-second recording of their voice. The tool can then generate “natural-sounding speech that closely resembles the original speaker.” Once cloned, Voice Engine can turn text inputs into audible speech using “emotive and realistic voices.” The tool’s capability makes exciting applications possible but raises serious safety issues too. Promising use

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Amazon takes $2.75 billion plunge into Anthropic

Amazon announced a colossal $2.75 billion investment in AI startup Anthropic. Anthropic’s Claude 3 Opus is officially the most powerful LLM on the planet, marginally usurping heavyweight GPT-4 on the LMSys leaderboard. Anthropic has received billions in funding from numerous sources, including Amazon and Google, becoming the chief rival to  OpenAI.   Amazon is now shoveling coal in Anthropic with a new influx of funds, adding to the company’s previous $1.25 billion investment. This brings its total commitment to a staggering $4 billion. This deal, valued based on Anthropic’s last $18.4 billion valuation, is one of the biggest bets of the

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