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Company: "notion"
OpenAI rolls out GPT-5 and GPT-5 Thinking to >1B users worldwide; -mini and -nano help claim Pareto Frontier
gpt-5 gpt-5-mini gpt-5-nano claude-4.1-sonnet claude-4.1-opus openai cursor_ai jetbrains microsoft notion perplexity_ai factoryai model-architecture context-windows pricing-models coding long-context prompt-engineering model-benchmarking model-integration tool-use reasoning sama scaling01 jeffintime embirico mustafasuleyman cline lmarena_ai nrehiew_ ofirpress sauers_
OpenAI launched GPT-5, a unified system featuring a fast main model and a deeper thinking model with a real-time router, supporting up to 400K context length and aggressive pricing that reclaims the Pareto Frontier of Intelligence. The rollout includes variants like gpt-5-mini and gpt-5-nano with significant cost reductions, and integrations with products such as ChatGPT, Cursor AI, JetBrains AI Assistant, Microsoft Copilot, Notion AI, and Perplexity AI. Benchmarks show GPT-5 performing strongly in coding and long-context reasoning, roughly matching Claude 4.1 Sonnet/Opus on SWE-bench Verified. The launch was accompanied by a GPT-5 prompting cookbook and notable community discussions on pricing and performance.
not much happened today
chai-2 gemini-2.5-pro deepseek-r1-0528 meta scale-ai anthropic cloudflare grammarly superhuman chai-discovery atlassian notion slack commoncrawl hugging-face sakana-ai inference model-scaling collective-intelligence zero-shot-learning enterprise-deployment data-access science-funding open-source-llms alexandr_wang nat_friedman clementdelangue teortaxestex ylecun steph_palazzolo andersonbcdefg jeremyphoward reach_vb
Meta makes a major AI move by hiring Scale AI founder Alexandr Wang as Chief AI Officer and acquiring a 49% non-voting stake in Scale AI for $14.3 billion, doubling its valuation to about $28 billion. Chai Discovery announces Chai-2, a breakthrough model for zero-shot antibody discovery and optimization. The US government faces budget cuts threatening to eliminate a quarter million science research jobs by 2026. Data access restrictions intensify as companies like Atlassian, Notion, and Slack block web crawlers including Common Crawl, raising concerns about future public internet archives. Hugging Face shuts down HuggingChat after serving over a million users, marking a significant experiment in open-source LLMs. Sakana AI releases AB-MCTS, an inference-time scaling algorithm enabling multiple models like Gemini 2.5 Pro and DeepSeek-R1-0528 to cooperate and outperform individual models.
Meta Apollo - Video Understanding up to 1 hour, SOTA Open Weights
apollo-1b apollo-3b apollo-7b veo-2 imagen-3 llama-3-70b llama-3b command-r7b llama-1b llama-8b chatgpt meta-ai-fair hugging-face google-deepmind openai figure-ai klarna cohere notion video-understanding scaling-consistency benchmarking temporal-ocr egocentric-perception spatial-perception reasoning video-generation physics-simulation voice-features map-integration language-expansion test-time-compute-scaling humanoid-robots ai-integration search-optimization self-recognition self-preference-bias akhaliq _lewtun clementdelangue adcock_brett rohanpaul_ai swyx shaneguML
Meta released Apollo, a new family of state-of-the-art video-language models available in 1B, 3B, and 7B sizes, featuring "Scaling Consistency" for efficient scaling and introducing ApolloBench, which speeds up video understanding evaluation by 41× across five temporal perception categories. Google Deepmind launched Veo 2, a 4K video generation model with improved physics and camera control, alongside an enhanced Imagen 3 image model. OpenAI globally rolled out ChatGPT search with advanced voice and map features and discussed a potential $2,000/month "ChatGPT Max" tier. Research highlights include achieving Llama 70B performance using Llama 3B via test-time compute scaling and expanding Command R7B language support from 10 to 23 languages. Industry updates feature Figure AI delivering humanoid robots commercially and Klarna reducing workforce through AI. Notion integrated Cohere Rerank for better search. Studies reveal LLMs can recognize their own writing style and show self-preference bias. Discussions note video processing progress outpacing text due to better signal-per-compute and data evaluation.