Proof Gradient · The Agent Evolution Protocol One agent tries.
Proof decides.
The network evolves. GoalOS gives the network Direction.
PlanOS gives it Strategy.
SkillOS gives it Capability.
The Proof Gradient gives it Evolution. https://
montrealai.github.io/proof-gradient/ #AGIALPHA #Jobs
AI
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Proof Gradient: The Agent Evolution Protocol for AI Agents
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GLM 5.1 outperforms Kimi 2.6, Composer 2.5 smarter but with RL-fried issues
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A note about why GLM 5.1 over Kimi 2.6. I found the former to be more capable on domains I'm working on, significantly so. Composer 2.5 seems smarter than Kimi, but exhibits RL-fried behavior, which causes much friction in interactive coding…
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AI writing similarity obvious when many respond to same prompt
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Another thing about AI writing is that while a single instance of AI writing on a topic may be fine, any situation where lots of people use AI to respond to a particular prompt (comments sections, homework, admissions essays) the similarities among responses is tediously obvious.
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Ethical Guardrails for Autonomous AI Systems in Business
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⚖️ AI is starting to think for itself—and that raises big ethical questions. In this episode, I explore how we can keep agentic AI systems transparent, fair, and aligned with human values.
— Bernard Marr (@BernardMarr) 2 juin 2026
🌍 Learn the essential guardrails every business should know before deploying autonomous… pic.twitter.com/CsIM19miGMAI is starting to think for itself—and that raises big ethical questions. In this episode, I explore how we can keep agentic AI systems transparent, fair, and aligned with human values. Learn the essential guardrails every business should know before deploying autonomous
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AI simulations: test business choices risk-free, boost confidence
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AI simulations help leaders test business choices before real money is at risk. By modeling customers, competitors, and market reactions, teams can compare options, find weak points, and decide with more confidence. Microblog @antgrasso
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LangSmith automates agent development lifecycle continuously
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The agent development lifecycle has been manual for too long.
— LangChain (@LangChain) 2 juin 2026
We’re building a future where it runs continuously, without manual triggers.
Where well-understood issue types resolve without human review.
Where your harnesses get smarter about your agents over time.
LangSmith… pic.twitter.com/10OwQHAciTThe agent development lifecycle has been manual for too long. We’re building a future where it runs continuously, without manual triggers. Where well-understood issue types resolve without human review. Where your harnesses get smarter about your agents over time. LangSmith
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Runway joins NVIDIA, AI labs in Cosmos Coalition for open-source physical AI world models
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Big news: Runway is now a founding member of the Cosmos Coalition – a global initiative with NVIDIA and top AI labs to build & open-source frontier world models for physical AI! The coalition's first project: a base model co-developed by Runway + NVIDIA to accelerate open world
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Learn AI Engineering: 435 Lessons, 320h, Python, Rust, MCP, Free
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Learn AI engineering from scratch with this repository: → 435 lessons
→ 320 hours of content
→ Python, TypeScript, Rust…
→ Prompts, skills, agents, and MCP servers Practical exercises in each lesson
100% open source
Free Link below -
Google I/O Conversation on Gemma, Open Models, and AI Future
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At @Google I/O, I sat down with @osanseviero and @DynamicWebPaige from Google DeepMind to talk about Gemma, open models, AI Studio, on-device AI, sovereign AI and the future of AI development.
— Chubby♨️ (@kimmonismus) 2 juin 2026
A great conversation on how building with AI is becoming more open, local and… pic.twitter.com/Wk0rU5ZUMjAt @Google I/O, I sat down with @osanseviero and @DynamicWebPaige from Google DeepMind to talk about Gemma, open models, AI Studio, on-device AI, sovereign AI and the future of AI development. A great conversation on how building with AI is becoming more open, local and
