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…4 31B and prior Qwen variants. Key details: Apache 2.0, 262K context, native multimodal input, and BF16 weights small enough to fit on a single H100. The companion 35B A3B MoE scored 43, making it the strongest open model around 3B active…
…particularly concerning pretraining and finetuning in health engineering contexts. Transitioning to Cloud: @zhiyyang expressed intent to start testing on the cloud rather than locally for convenience, appreciating the information shared by …
…3 Opus, best of 4 runs. We are working on clustering and flow engineering with Haiku. AI and Robotics Research Developments AI and robotics progress: @adcock_brett shares a weekly roundup of the most important research and developments in…
…system of record for enterprise work. We go inside the product, engineering, evals, pricing, and org design decisions behind one of the most ambitious AI product efforts in software today — from early failed tool-calling experiments in 2022…
…and insights provided, highlighting the complexities of prompt engineering and the nuances of leveraging AI models for specific project goals. Links mentioned: How do you maintain historical context in repeat API calls?: Each time I make a …
…datasets, which could include sensitive content, in the context of roleplay and function-calling. Guardrails on the Guard: Drawing upon collective wisdom, strategies for constructing model guardrails were debated, suggesting the use of a…
…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,…
…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).…
…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…
…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.…
…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 +…
…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…
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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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