“Jason Zhou launched a local daemon that runs AI agents directly on your computer with full context, while Loopany handles the orchestration.”

#9 𝕏 Jason Zhou launched a local daemon that runs AI agents directly on your computer with full context, while Loopany handles the orchestration. #10 𝕏 Alexandr Wang unveils Muse Spark, an AI model that carries out end-to-end tasks from just short video instructions.

“Jason Zhou introduced Loopany, a free, open-source loop management space that scaffolds loop contracts, state, logs and programmable triggers.”

#6 𝕏 Jason Zhou introduced Loopany, a free, open-source loop management space that scaffolds loop contracts, state, logs and programmable triggers. It connects to your team’s local agents to run self-improving cycles from built-in templates. #7 𝕏 Harrison Chase debuted LangChain this week with NemoClaw DeepAgents, pairing the open-source Deep Agents harness with NVIDIA’s Nemotron 3 Ultra OSS model and the enterprise-ready OpenShell runtime.

“Jason Zhou rebuilt Posia using the Pi Agent SDK with a 15-line core agent and flexible harness, and released a 17-minute walkthrough on Pi’s extension system (showing 80–96% tool token cuts), step-by-step SDK usage, and hosted agent deployment.”

Today's top 25 insights for PM Builders, ranked by relevance from X, Blogs, and YouTube. OpenAI launches GPT-Live full-duplex voice API #1 𝕏 Sam Altman announced that GPT-5.6 Sol launches Thursday, urging builders to start integrating and experimenting with the new model. #2 📝 OpenAI News Introducing GPT-Live - OpenAI is launching GPT‑Live, a full‑duplex voice model that can listen and speak simultaneously, use conversational cues like “mhmm,” and delegate deeper searches or reasoning to GPT‑5.5 in the background; two versions (GPT‑Live‑1 and GPT‑Live‑1 mini) are rolling out to ChatGPT users globally today with an API sign‑up available. OpenAI says over 150 million people use ChatGPT voice weekly, reports users strongly prefer GPT‑Live to Advanced Voice Mode (GPT‑Live‑1 preferred ~75.7%), and shows large evaluation gains — GPQA rising from 45.3% (AVM) to up to 84.2% and BrowseComp from 0.7% to up to 75.2%. Also covered by: @Sam Altman #3 𝕏 OpenAI rolled out GPT-Live voice models in ChatGPT on iOS, Android, and web starting today (full rollout over the next few days), with API access coming soon—just tap the Voice button to talk with ChatGPT. Also covered by: @Sam Altman #4 𝕏 Mistral AI launched Robostral Navigate, its first embodied navigation model with 8B parameters that guides robots to perform natural-language specified tasks using a single RGB camera. It achieves state-of-the-art results on the R2R-CE benchmark. #5 𝕏 Logan Kilpatrick rolled out “import from GitHub” in Google AI Studio Build, automagically converting your repo into a runtime-compatible format. Now you can seamlessly iterate on it in AI Studio, deploy it, and more. #6 📝 OpenAI News Separating signal from noise in coding evaluations - A detailed audit of SWE-Bench Pro estimates roughly 30% of tasks are broken—an automated pipeline flagged 200 (27.4%) and human annotators found 249 (34.1%)—primarily due to overly strict tests, underspecified prompts, low-coverage tests, and misleading prompts. #7 𝕏 Cognition launched SWE-1.7, their most capable model yet, scoring within a few points of top frontier models at a fraction of the cost and running at 1000 tok/s. They report that their refined RL training recipe continues to deliver scaling gains. #8 𝕏 Ali Ghodsi ran an in-house evaluation on his 3,000-engineer, multi-cloud codebase and found that simply swapping inference harnesses can halve AI costs while maintaining quality, with GLM 5.2 emerging as a top performer. #9 𝕏 Jason Zhou rebuilt Posia using the Pi Agent SDK with a 15-line core agent and flexible harness, and released a 17-minute walkthrough on Pi’s extension system.

“Jason Zhou mapped his coding agent across three repos—cutting token use by ~50%, adding a richer-info grep hook, and tracing every function’s call chain and blast radius.”

Jason Zhou mapped his coding agent across three repos—cutting token use by ~50%, adding a richer-info grep hook, and tracing every function’s call chain and blast radius. He’s shared the setup skill and an 8-minute deep dive. #13 𝕏 I was giving my coding agent context the wrong way... AI Jason AI Jason demonstrates using the open-source code base memory MCP (built in C/C++) to index a monorepo as a graph and guide coding agents to trace function usage and PR blast radii while cutting token consumption by roughly 50%.

“Jason Zhou showcases Crabbox, which spins up isolated cloud boxes for each AI agent to sync uncommitted changes instantly, run the full stack, and capture screenshots/videos as proof—helping his team ship 10× more PRs.”

Jason Zhou is named in connection with Crabbox and a claim about shipping more pull requests. He appears to be sharing a practical AI engineering workflow.

“Jason Zhou notes that companies are currently limited to running AI agent loops individually on each laptop, but argues this short-term setup makes it essential to build new infrastructure for a true “multi-player agent experience.””

#6 𝕏 Jason Zhou notes that companies are currently limited to running AI agent loops individually on each laptop, but argues this short-term setup makes it essential to build new infrastructure for a true “multi-player agent experience.”

“Jason Zhou warns that CLAUDE.md assets depreciate as the model evolves, so he routinely clears and rewrites them—keeping only the few rules that truly steer behavior—and argues that over-engineering, not lack of context, is most people’s real issue.”

#18 𝕏 Jason Zhou calls Orca his new favorite IDE, highlighting built-in file/diff review, setup scripts, agent session discovery, and native mobile support. He says he keeps uncovering new gems every few hours. #21 𝕏 Jason Zhou warns that CLAUDE.md assets depreciate as the model evolves, so he routinely clears and rewrites them—keeping only the few rules that truly steer behavior—and argues that over-engineering, not lack of context, is most people’s real issue.

“#21 𝕏 Jason Zhou uses CMUX as his main IDE with persistent terminals for running loops, parallel sessions, and agent‐completion notifications, delivering a 10× productivity boost.”

#21 𝕏 Jason Zhou uses CMUX as his main IDE with persistent terminals for running loops, parallel sessions, and agent‐completion notifications, delivering a 10× productivity boost.

“Jason Zhou launched archlet, an open-source tool that visualizes PR diffs as architecture graphs, letting you spot AI-driven architecture drift at a glance.”

#5 𝕏 Jason Zhou launched archlet, an open-source tool that visualizes PR diffs as architecture graphs, letting you spot AI-driven architecture drift at a glance. It boosted his team’s PR review speed and quality by 10×.

“Jason Zhou built an AI agent that overnight scanned 47 Reddit threads across r/SaaS, r/IndieHackers, and r/startups, drafted replies to three founder questions (flagging one for review), and added two new leads to the CRM—requiring only his approval.”

#7 𝕏 Jason Zhou built an AI agent that overnight scanned 47 Reddit threads across r/SaaS, r/IndieHackers, and r/startups, drafted replies to three founder questions (flagging one for review), and added two new leads to the CRM—requiring only his approval.