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…the harness, not just the base model. Anthropic published a new engineering writeup on how it uses a multi-agent harness for frontend design and long-running software tasks, emphasizing orchestration over one-shot prompting (AnthropicAI).…
…3 Opus, best of 4 runs. We are working on clustering and flow engineering with Haiku. AI Model Releases and Updates Meta 3D Gen: @AIatMeta introduced Meta 3D Gen, a new system for end-to-end generation of 3D assets from text in <1min,…
…Scores 41 on the AA Intelligence Index at 291 tok/s with 1M context, and is free in Cline. On ARC-AGI it posts 89.2% on v2 at $0.40/task and 98.5% on v1. On v3 it scores 10.4% with the standard harness and 35% with the provider harness.…
…here) that, like all State Space Models, does very well on long context vs latency tradeoffs. Happy 2nd birthday to Stable Diffusion - which prompted the start of Latent Space. {% if medium == 'web' %} Table of Contents [TOC] {% else %} The…
…task. It averages nearly two hours per task and has a 1M-token context window (Vals, details). Rumors (unconfirmed): Fable 5.5: Claude Fable 5.5 is rumored for next week and said to outperform an “Astra 6.1” that was reportedly delayed over…
…details are: MoE with 52B parameters total, 12B active 256K Context length Open weights: Apache 2.0 It is notable both for its performance in its weight class (we'll come back to what "weight class" now means): and for its throughput +…
…3 Opus, best of 4 runs. We are working on clustering and flow engineering with Haiku. AI Capabilities and Limitations Limitations of current AI systems: @fchollet noted that memorization, which ML has solely focused on, is not intelligence.…
…and tool-use performance at Sonnet pricing, with a 1M-token context window, and is the new default in Claude Code for Pro users and available on the Claude Platform including API and Managed Agents (@ClaudeDevs) Anthropic kept the standard …
…perplexity drop by up to 65% compared to Streaming-LLM in long context settings. The paper is available here. PokéChamp: Expert-level Minimax Language Agent: @TheAITimeline introduced PokéChamp, a minimax agent for Pokémon battles powered…
…11B and 90B versions, with a 2048 token output limit and 128k context length. These models support gif, jpeg, png, and webp image file types, information which was not readily available in official documentation and required extensive…
…or temporarily disconnect if they could not. Its account contextualizes that response with an existing Japanese breach wave, rather than establishing that PHP2Shell caused those earlier incidents. @SemiAnalysis_6. Exposure-checking…
…against power concentration in AI. Software Development and Engineering @svpino provided a detailed explanation of how Single Sign-On (SSO) works, emphasizing its importance in modern authentication systems. The importance of thorough…
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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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