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…Twitter Recap OpenAI’s gpt-realtime and Realtime API GA (voice agents, telephony, tools) gpt‑realtime model + Realtime API GA: OpenAI shipped its most advanced speech-to-speech model and took the Realtime API to GA with substantial…
…AI tools like #AIPythonforBeginners and LangGraph for GenAI agents were shared. Business insights included rapid execution in AI product development and emerging AI-related job roles. Challenges in enterprise text-to-SQL and…
…auto-approve improvements, UI polish) and official support for AGENTS.md to wrangle rules/instructions (release, AGENTS.md origin). New BYOK extension API enables direct provider keys. Open models inside Copilot Chat: Hugging Face Inference…
…built in heartbeating to power the motive force of the agents filling up Moltbook In Cursor’s Towards self-driving codebases, the author moves from decentralized agents to having a central Planner agent that commands workers and spins up…
…Unite: There's an open-source guide for building TypeScript agents that leverage local LLMs, like Mixtral, announced on Twitter. Top-k RAG Approach Discouraged for 2024: A caution against using top-k RAG for future projects trended, hinting…
…evaluate LLMs for human health applications (@HuggingPapers). Agents, environments, and protocols Open environments for RL/agentic training: Prime Intellect launched the Environments Hub to crowdsource rich, standardized, interactive…
…specification for a context graph for a specific domain (coding agents) that is agreed on between companies. It remains to be seen if it has actual staying power, which will mostly be driven by 1) high demonstrated improvement in agent…
…and BlueberryFew613 discuss the economic implications of AI agents potentially replacing workers, with the former suggesting businesses will opt for AI over human employees due to cost savings. However, BlueberryFew613 argues that current…
…@ArtificialAnlys, pricing. Agentic coding and productized agents Kimi “OK Computer” (K2‑powered agent mode): An OS‑like agent with its own file system, browser, terminal and longer tool budgets. Demos: single‑prompt websites/mobile‑first…
…Studio, Android Studio, Antigravity, Gemini Enterprise, Managed Agents, Gemini Spark, and quickly propagated into external tooling such as Cline, Devin, VS Code Agents, and other coding stacks (GoogleAIStudio, GeminiApp, code, cognition,…
…AI toolkits were shared by svpino. AI legal and financial agents were launched by SpellbookLegal and evaluated with LangSmith. Key topics include parameter-efficient fine-tuning, long-context embedding challenges, and LaTeX rendering in…
…introduced a unified Interactions API to access both models and agents with server‑side state, background execution, and MCP support, and released the first agent, Gemini Deep Research (@_philschmid, @GoogleDeepMind). Google open‑sourced…
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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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