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…3 Opus, best of 4 runs. We are working on clustering and flow engineering with Haiku. AI and Large Language Model Developments Gemini model performance: @arohan highlighted the Gemini 1.5 FlashModel as an outlier providing high performance …
…previously worked on Google Search and joined Glean’s founding engineering team, progressing into engineering management and creating and leading product work for Glean Assistant. Earlier career: leaving Google to build Glean Before Glean…
…it could run out of token limitation. CLI Optimizes DSPy Prompt Context over Time: A member built a local-first engineering agent using DSPy that implements the "Compounding Engineering" philosophy, where each unit of work should make the…
…and tools for biology. That earlier work supplies the research context for the combined organization. Early history: general AI and game-playing systems Demis Hassabis, Shane Legg and Mustafa Suleyman founded DeepMind Technologies in 2010. …
Take the 2026 AI Engineering Survey and get >$2k in credits and AIE WF tickets! Readers like when we report no news, but our second favorite to that is when we can simply reinforce a trend you should be aware of. In April we highlighted the…
…Across these projects, DeepSeek has addressed distinct engineering problems: how much computation each token activates, how much attention memory a conversation requires, how distributed GPUs exchange work, and how training rewards affect…
…concerns about GPT-4, including long waitlist, issues with contextual understanding and inconsistent performance. @kyper, @eveiw, @Rock, @.pywiz, @drcapyahhbara, @pietman, @solbus, @chotes, @napoleonbonaparte0396 added to the discussion.…
…(MLA), an attention technique discussed later for reducing context-memory demands. The attention tradeoff has a limit. In the speaker’s illustration, going from 64 heads to 32 halves attention work, but quadratic scaling with context length…
…shows GPT‑5 at the top (@scaling01). On SimpleBench and long context tasks, GPT‑5 shows marked gains (@gdb, @scaling01). Creative/hallucination: GPT‑5 sets new highs for confabulation control on “Provided Texts” (@LechMazur) and leads a…
…while conversation with it retains the surrounding ChatGPT context. That gives developers a way to shape interaction beyond supplying a callable tool. Christina’s onstage demonstration built a live chat app for the DevDay website. She…
…and 50% off for the first two weeks (Artificial Analysis). Context: Vals and Artificial Analysis list a 512K context window. OpenRouter lists 1M context with up to 256K output. Mistral’s own claims: Human evals: Mistral says it beats GLM…
…of Supermemory, where he works on AI memory infrastructure and context engineering. His work concerns how information from past interactions reaches an agent’s limited context window: what gets saved, how changing facts are reconciled, and …
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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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