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Company: "etched"
>$41B raised today (OpenAI @ 300b, Cursor @ 9.5b, Etched @ 1.5b)
deepseek-v3-0324 gemini-2.5-pro claude-3.7-sonnet openai deepseek gemini cursor etched skypilot agent-evals open-models model-releases model-performance coding multimodality model-deployment cost-efficiency agent-evaluation privacy kevinweil sama lmarena_ai scaling01 iscienceluvr stevenheidel lepikhin dzhng raizamrtn karpathy
OpenAI is preparing to release a highly capable open language model, their first since GPT-2, with a focus on reasoning and community feedback, as shared by @kevinweil and @sama. DeepSeek V3 0324 has achieved the #5 spot on the Arena leaderboard, becoming the top open model with an MIT license and cost advantages. Gemini 2.5 Pro is noted for outperforming models like Claude 3.7 Sonnet in coding tasks, with upcoming pricing and improvements expected soon. New startups like Sophont are building open multimodal foundation models for healthcare. Significant fundraises include Cursor closing $625M at a $9.6B valuation and Etched raising $85M at $1.5B. Innovations in AI infrastructure include SkyPilot's cost-efficient cloud provisioning and the launch of AgentEvals, an open-source package for evaluating AI agents. Discussions on smartphone privacy highlight iPhone's stronger user defense compared to Android.
OpenAI beats Anthropic to releasing Speculative Decoding
claude-3-sonnet mrt5 openai anthropic nvidia microsoft boston-dynamics meta-ai-fair runway elevenlabs etched osmo physical-intelligence langchain speculative-decoding prompt-lookup cpu-inference multimodality retrieval-augmented-generation neural-networks optimization ai-safety governance model-architecture inference-economics content-generation adcock_brett vikhyatk dair_ai rasbt bindureddy teortaxestex svpino c_valenzuelab davidsholz
Prompt lookup and Speculative Decoding techniques are gaining traction with implementations from Cursor, Fireworks, and teased features from Anthropic. OpenAI has introduced faster response times and file edits with these methods, offering about 50% efficiency improvements. The community is actively exploring AI engineering use cases with these advancements. Recent updates highlight progress from companies like NVIDIA, OpenAI, Anthropic, Microsoft, Boston Dynamics, and Meta. Key technical insights include CPU inference capabilities, multimodal retrieval-augmented generation (RAG), and neural network fundamentals. New AI products include fully AI-generated games and advanced content generation tools. Challenges in AI research labs such as bureaucracy and resource allocation were also discussed, alongside AI safety and governance concerns.