AI Model Behavior - A new study introduces a pre-prompt technique to encourage AI models to generate multiple potential answers [1] - The pre-prompt aims to recover diversity in AI model responses that was diminished by alignment training [1]

AI Model Vulnerability - Just 250 poisoned documents can corrupt AI models with up to 13 billion parameters [1] Security Implications - The study highlights the need for new kinds of defenses against data poisoning attacks on AI models [1]

Well, Brooks is a huge copy as you often talk about David and I'm thrilled to have two people to be able to discuss a partnership that this morning it's a code development to do custom chips as well as 10 gigawatt deployment. We got to find out a little more deployment but first we have to talk about the custom chips. Joining us now first on CBC is OpenAI co-founder and president Greg Brockman spoke with him last week and Brooke I'm president Charlie Cowas we uh Charlie's going to be able to speak to a lot ...

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Market Trends & Investment Opportunities - The transition from CPU-based computing to generative AI computing powered by GPUs is just starting, requiring significant infrastructure investment [6] - The AI infrastructure build-out is estimated to be a multi-trillion dollar opportunity, with Nvidia's AI infrastructure business currently at a couple of hundred billion dollars [7] - Enterprise AI is emerging, with companies like Cursor experiencing rapid growth and increased productivity through AI-assisted coding [12][13] - Specialized AI is seen as valuable for enterprises, while general AI is valuable for consumers [21] Company Strategy & Investments - Nvidia is actively investing in AI startups across the AI ecosystem, including companies like XAI and CoreWeave [3][24] - Nvidia regrets not investing more in companies like XAI and CoreWeave, highlighting their potential and importance to the AI infrastructure [3][24] - Nvidia views AI as encompassing energy, chips, models, and applications, and aims to work across the entire stack of ecosystems [24][25] Technology & Innovation - New AI models are now reasoning, researching, and using tools, making them more useful and profitable [9][10] - AI technology can now use tools independently, augmenting labor and increasing productivity [17][18] - AI coders like Cursor are increasing engineering productivity significantly [12][16] Financial Analysis & Projections - Hyperscalers have approximately $25 trillion of business operating today, with around $500 billion in CapEx [5] - The transition to generative AI computing requires building out half a trillion dollars worth of capacity infrastructure [6] - The tool user industry is a few trillion dollars, while the tool industry is $100 trillion, indicating the potential impact of AI [18]

Perplexity rolling out its AI browser comet to all users this week. And joining us right now in an exclusive interview is Perplexity's founder and CEO, uh, Arvin Shinbug. It's great to see you.Um, congratulations on doing this. I'm sort of fascinated by what this really means. For those who don't know what comet is, who haven't used it yet, I, by the way, been playing with it a little bit now, trying to integrate it even into my calendar.We can discuss that in a second. Um, what is happening here. So, Comet ...

A new database will make Wikipedia's wealth of knowledge more accessible to AI models. https://t.co/6RC2dTa8OG ...

RT Nick Cleveland-Stout (@nick_clevelands)NEW: Israel is paying Trump’s former campaign manager Brad Parscale $6 million to create websites and content designed to train AI models like ChatGPT with pro-Israel messaging (link below) https://t.co/9EHli6Y7aa ...

@Tesla cars run on advanced AI models that decide in real-time how to steer, brake, and react to the road.@elonmusk you rule!But how do we know those models are doing exactly what Tesla claims? Safety-critical AI demands more than promises. https://t.co/VyZIW5oPWC ...

AI Model Evaluation - AI模型能力评估对行业至关重要 [1] - 行业需要评估AI模型在现实世界中的工作能力的方法 [1] Labor Market Impact - 预测AI模型对劳动力市场的影响需要评估其工作能力 [1] GDPval Introduction - GDPval的创建是为了衡量AI模型的实际工作能力 [1]