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…improvements in coding, instruction following, and long context (1 million tokens). The new models include GPT-4.1, GPT-4.1 mini, and GPT-4.1 nano. @kevinweil detailed that these models are great at coding, with GPT 4.1 achieving 54 on…
…/r/LLMDevs, /r/Singularity Theme 1. Anthropic Launches Model Context Protocol for Claude Introducing the Model Context Protocol (Score: 106, Comments: 37): Model Context Protocol (MCP) appears to be a protocol for file and data access, but …
…highlights include function calling + structured JSON, and long context up to 256K (large models) in @GoogleDeepMind and @GoogleAI. Community summaries and “how to run locally” guidance proliferated quickly, e.g. @_philschmid and…
…Jamba 1.5, a new multilingual AI model family with a 256,000 context length, 2.5x faster long context in its size class, and permissive licensing for smaller organizations. The model has full open weights. Dream Machine 1.5: @adcock_brett…
…internal adoption leaderboards, and how AI tools are changing engineering workflows even in embedded systems and safety-critical software Verification and validation for physical AI: why evals get harder as models improve, how end-to-end…
…in AI, urging discussions to move beyond 2014 policy and engineering issues to make substantial progress. AGI Terminology Critique: @scaling01 argues that AGI is a misused and overrated term, advocating for narrow scientific…
…websites and IllustrationsSharing prompts Prompt engineering is an acquired skill that is still turning up surprising results like this and this in GPT3 land 3 years after release; it means LLMs have a large latent space of abilities (not…
…achieved through this approach. Quest for Ancient Texts in Tech Engineering: Inquiries arose about refining searches for ancient texts within the context of advanced tech and engineering development platforms. Members were curious about how…
…a method for generating 10,000+ word outputs from long context LLMs. AI in scientific discovery: @rohanpaul_ai highlighted research on using Agentic AI for automatic scientific discovery, revealing hidden interdisciplinary relationships. AI…
…with the greatest level of scrutiny and most demanding long context requirements. Some of them, like Replika, make over $50M/year in revenue, and this is -after- their controversial update deprecating Erotic Roleplay (ERP). A couple of days…
…593, Comments: 262): The post title alone lacks sufficient context or details to create a meaningful technical summary about QwQ 32B, Claude 3.5, o1 mini, o1 preview, or GPT-4 beyond their mere mention. No supporting evidence, benchmarks,…
…3 Opus, best of 4 runs. We are working on clustering and flow engineering with Haiku. AI Models and Architectures Llama 3 and Instruction Finetuning: @rasbt found Llama 3 8B Instruct to be a good evaluator model that runs on a MacBook Air, …
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A conversation with Greg Brockman about OpenAI’s path to AGI, alongside our analysis of GPT-5, Codex, and the shift to agentic coding.
Thariq Shihipar on Claude Code’s next era: prompts, harnesses, plugins, and agents—and what it takes to keep pace with the frontier.
Marc Andreessen on the future of the browser, Pi and OpenClaw, and why this wave of AI feels different.
Priscilla Chan and Mark Zuckerberg on Biohub’s plans for frontier AI and virtual biology, and the ambition to cure or prevent disease.
Anima Anandkumar on modeling the physical world, from weather to fusion reactors, and why physics needs more than language models.
John Platt on automating science, tackling climate change, and how the next generation can contribute in the age of AI.
Anthropic brings interactive apps into Claude with an open MCP standard for richer AI interfaces.
What Sam Altman’s town hall reveals about building startups in the age of AI.
Moonshot’s multimodal model brings competitive coding, native image and video understanding, and parallel agents.
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