Our 201st episode with a summary and discussion of last week's big AI news! Recorded on 03/02/2025
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In this episode:
- The release of GPT-4.5 from OpenAI, Anthropic's Claude 3.7, and Grok 3 from XAI, comparing their features, costs, and capabilities. - Discussion on new tools and applications including Sesame's new voice assistant and Google's AI coding assistant, Gemini Code Assist, highlighting their unique benefits. - OpenAI's continued user growth despite competition, pricing models for Google's text-to-video platform, and HP acquiring and shutting down Humane's AI pin. - Insights into new research on alignment and specification gaming in LLMs, including papers on fine-tuning causing broad misalignment and Google's multi-agent system for scientific collaboration.
Timestamps + Links:
- (00:00:00) Intro / Banter
- (00:01:36) News Preview
- Tools & Apps
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- (00:02:33) OpenAI announces GPT-4.5, warns it’s not a frontier AI model
- (00:07:22) Anthropic launches a new AI model that ‘thinks’ as long as you want
- (00:11:14) New Grok 3 release tops LLM leaderboards
- (00:16:43) Sesame is the first voice assistant I’ve ever wanted to talk to more than once
- (00:18:30) Google launches a free AI coding assistant with very high usage caps
- (00:20:45) Rabbit shows off the AI agent it should have launched with
- (00:22:23) Mistral’s Le Chat tops 1M downloads in just 14 days
- Applications & Business
- (00:24:06) OpenAI Tops 400 Million Users Despite DeepSeek’s Emergence
- (00:27:37) Google’s new AI video model Veo 2 will cost 50 cents per second
- (00:29:52) HP is buying Humane and shutting down the AI Pin
- Projects & Open Source
- (00:31:44) Microsoft launches next-gen Phi AI models.
- (00:33:47) OpenAI introduces SWE-Lancer: A Benchmark for Evaluating Model Performance on Real-World Freelance Software Engineering Work
- (00:37:12) SWE-Bench+: Enhanced Coding Benchmark for LLMs
- Research & Advancements
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- (00:40:00) Towards an AI co-scientist
- (00:42:52) Magma: A Foundation Model for Multimodal AI Agents
- Policy & Safety
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- (00:47:32) Demonstrating specification gaming in reasoning models
- (00:51:03) Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs