I want voice mode to be able to kickoff background subagents that use stronger models and then say 30 seconds later "here's what I figured out about X"
AGENTS
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Muse Spark API Coming Soon for Developer Integration
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the muse spark API will be coming soon! we have been thrilled with the amount of excitement amongst developers who want to try muse spark inside their agentic harnesses stay tuned!
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Incorporating Human Judgment in Agent Improvement Loop
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New Guide: Incorporating human judgment in the agent improvement loop
— LangChain (@LangChain) 10 avril 2026
Building agents is hard. Everyone talks about the code. What gets less attention is how to capture domain expert knowledge and actually get it into your agent.
The most successful teams follow an agent… pic.twitter.com/LDIQr5h0AfNew Guide: Incorporating human judgment in the agent improvement loop Building agents is hard. Everyone talks about the code. What gets less attention is how to capture domain expert knowledge and actually get it into your agent. The most successful teams follow an agent
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Agent Harnesses: Stable Abstractions for LLM-Based Systems
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im excited about agent harnesses because i think are the first stable agent abstractions we can build on top (which is why we're investing so much in deepagents) we always wanted to run llms in a loop and have them call tools (remember autoGPT? that's all that was) but the
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Building Production Agents: Podcast Deep Dive Details
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we are doing this podcast specifically to highlight the innermost details of building agents in production may be a little niche, but its a niche i like
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OpenAI’s AI Reaching Research Intern Level by September 2026
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OpenAI's Chief Scientist says AI is getting close to being as good as a human research intern.
— Jacob Effron (@jacobeffron) 10 avril 2026
This past September, @sama and @merettm predicted fully autonomous AI researchers by 2028.
Jakub's update: "I think we're not very far from models that can work autonomously for a… https://t.co/jsmSU6cSNH pic.twitter.com/gzzyonGEF8OpenAI's Chief Scientist says AI is getting close to being as good as a human research intern. This past September, @sama and @merettm predicted fully autonomous AI researchers by 2028. Jakub's update: "I think we're not very far from models that can work autonomously for a couple days… and produce much higher quality artifacts on their own." Jacob Effron (@jacobeffron) At @OpenAI, Chief Scientist @merettm helps lead the research roadmap to AGI including a research intern-level AI system by September 2026 and a fully automated AI researcher by March 2028. I sat down with Jakub to check on those timelines and ask him all of my top-of-mind AI questions including: ▪️ How OpenAI thinks about extending RL beyond code and math ▪️ The current state of alignment research as more powerful models loom ▪️ The future of continual learning ▪️ How startups should think about building their own models/harnesses And he also shared some great stories around OpenAI’s pioneering work on math. YouTube: piped.video/vK1qEF3a3WM Spotify: bit.ly/4sjUyrN Apple: bit.ly/41jAdrN 0:00 Intro 1:53 Research Intern Capability Timelines 4:59 Math Breakthroughs 7:59 RL Beyond Verifiable Tasks 12:32 RL vs In-Context 19:01 Allocating Compute Internally 28:18 AI for Science 31:40 Pattern Matching 33:23 Solving the Hardest Math Problems 37:40 Chain of Thought Monitoring 44:33 Generalization and Value Alignment in Models 47:57 Inside OpenAI 51:55 Quickfire — https://nitter.net/jacobeffron/status/2042234897134162077#m
→ View original post on X — @ceobillionaire, 2026-04-10 14:10 UTC
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Hermes Agent Open Source Framework Ecosystem Mapped and Documented
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Hermes Agent is one of the most powerful open source AI agent frameworks and nobody knows how to use it. Someone just mapped the entire ecosystem. 80+ tools, skills, plugins, and integrations documented in one place. 568 GitHub stars in 48 hours. Zero to fully autonomous agent in an afternoon.
→ View original post on X — @ceobillionaire, 2026-04-10 13:45 UTC
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Claude Multi-Agent Collaborative Workflow
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8. Claude Multi-Agent Workflow You are 4 collaborative agents:
• Architect (system design)
• Engineer (development)
• Reviewer (quality control)
• Optimizer (performance improvement) Return:
• Architecture
• Implementation
• Review feedback
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AI Autonomy: Why Supervision Remains Essential for Safety
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Agent AI can execute tasks on its own, but giving it financial control or full autonomy can lead to unexpected actions you didn’t plan for. Until it’s more reliable, the smartest move is to keep AI supervised while it works so you stay in control. pic.twitter.com/ksNjbsOpkZ
— Satya Mallick (@LearnOpenCV) 10 avril 2026Agent AI can execute tasks on its own, but giving it financial control or full autonomy can lead to unexpected actions you didn’t plan for. Until it’s more reliable, the smartest move is to keep AI supervised while it works so you stay in control.
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OpenAI Transforms Mac Codex App Into Unified AI Superapp Platform
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OpenAI is transforming its Mac Codex app into a unified, general-purpose AI platform ("Superapp") that combines chat, agent workflows, multimodal capabilities, and flexible model control into a single, more user-friendly interface. Probabaly thats what the OAI folks are refereing to lately Chetaslua (@chetaslua) 🚨 OpenAI is quietly turning the Mac Codex app into an all-in-one platform Chat + Codex + OpenClaw, all under one roof. > Foundation for rendering and reading images + video > Heartbeat system (like OpenClaw) > Model and thinking mode selection per task (like an OpenClaw agent manager) > UI changes to make Codex less "for coders" and more universal They're using the Codex app as the base and building everything on top of it. (h/t @MsRFlorida for the breakdown) — https://nitter.net/chetaslua/status/2042325786120822931#m
→ View original post on X — @kimmonismus, 2026-04-10 13:03 UTC