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…modern generative requirements @sedielem, @cloneofsimo. Infra, agents, and platform updates vLLM inference and RL: vLLM explained continuous batching from first principles @remi_or_ and, with UnslothAI + TorchAO, added FP8 GRPO: ~1.4×…
…realistic patterns. Social Simulacra, a precursor to Generative Agents, began pursuing that possibility. For Generative Agents’ memory, the team considered knowledge graphs and bespoke models before choosing text. Language models already…
…product updates: GPT-6 Astra Pro in ChatGPT now runs multiple agents on parts of a task in parallel, with faster responses and better tool use (OpenAI). GPT Live 1.1 improves multilingual voice, and nine new presets were recorded with…
…that a transcript could lose, while reducing latency. Voice agents used LiveKit Cloud for WebRTC transport and the LiveKit Agents framework, running in Speak’s regional Kubernetes clusters. Speak selected TTS providers by language pair and …
…is speculation that OpenAI's May 15th announcement will include agents, Q-type algorithmic improvements, and architectural upgrades that will "feel like magic"*. Some in /r/LocalLLaMA expect a voice assistant like the AI in the movie "Her".…
…using internal data for curriculum or lesson-writing agents were still early. The hoped-for result was much greater course output from the team; a hundredfold productivity gain had not been established. Speak prioritizes everyday…
…it to ML iteration; his longer post shows a workflow where agents write/maintain tests, and the human watches diffs/traces to stop suspicious patterns (thread). Reusable “skills/subagents” compound: A widely shared playbook is to invest in …
…AI in workplace workflows, organizing engineering around coding agents, and using language models for formal proofs. He uses the handle spolu on GitHub and X. Choosing products over model training In Why Dust?, Polu connects his departure…
…design + cache hierarchy + routing, not just cheaper hardware. Agents, Harnesses, Memory, and Continual LearningThe stack is shifting from “model quality” to “model-harness-memory fit”: A substantial cluster of tweets focused on practical…
…tool calling and MCP, persistent memory, and evaluation of agents and knowledge-graph construction. Developer education and executive alignment In his July 2025 DevRelCon talk, Chin proposed an Engaged Developer Funnel in place of judging…
…sparking excitement and discussion about the future of AI. AI agents speculation: OpenAI's acquisition of a remote desktop control startup led to speculation about integration with ChatGPT desktop for AI agents. AI-generated ads: Toys R Us …
…inside agent conversations and described bringing local coding agents into a file-based desktop application. Visual collaboration with agents In “Text is not enough”, published March 30, 2026, Ruiz argued that visual adjustments and complex…
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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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