With empathy, do you mean the ability to model the hidden states of another agent?
AGENTS
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Frontier model can autonomously train successor version
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In his newsletter, he defines it as “a frontier model is able to autonomously train a successor version of itself,” which I admit is a weaker definition than what I assumed he meant (human AI researchers no longer useful vs. AI ones)
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Build Full Pitch Decks in Replit With AI Chat and Export
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You can build a full pitch deck in Replit without touching a single slide.
— Replit ⠕ (@Replit) 4 mai 2026
Just describe what you want, iterate in chat, edit visually, then export to PPTX, Google Slides, or PDF (or publish a live URL).
Here's how it works👇 pic.twitter.com/P1LPk6aJtYYou can build a full pitch deck in Replit without touching a single slide. Just describe what you want, iterate in chat, edit visually, then export to PPTX, Google Slides, or PDF (or publish a live URL). Here's how it works
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DeepSeek-V4 free on ZenMux steals attention from paid tools
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If you’re still paying premium prices to test “agentic coding,” you’re already late. DeepSeek-V4 is free on ZenMux right now. API + Chat, OpenAI/Anthropic protocol support, and built to plug into real dev workflows. Most model launches beg for attention. This one steals
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LangChain Fleet Agents Now Support Multiple AI Models at Scale
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No longer are Fleet agents constrained to a single model.
— LangChain (@LangChain) 4 mai 2026
With multi-model support, you can build more efficient agents at scalehttps://t.co/YJI6Y7SjK0 https://t.co/5cK3wOOadiNo longer are Fleet agents constrained to a single model. With multi-model support, you can build more efficient agents at scale http://
langchain.com/langsmith/fleet -
Grok 4.3: 10x cheaper, close to frontier models
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Grok 4.3 is literally 10x cheaper than GPT-5.5 or Claude for token output costs. It's also shockingly close on benchmarks (or better in some long-horizon agent tests) to the frontier models.
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AI Agent Drifts From Instructions After a Few Days
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Mostly instructing it to do things on a schedule and then it drifting further and further away from what it was instructed to do. Like it will follow instructions for a day or two and then seemingly forget what was instructed a few days prior.
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User Frustrated with OpenClaw AI Agent After Four Months
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I don't know if this is a skill issue or something… But I've been playing with OpenClaw a ton for the past 4ish months. I feel like lately I'm spending more time troubleshooting issues with it and telling it what it's doing wrong than I am actually getting valuable use from it.
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Model personality swap creates perfect planner-executor combo
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The models swapped personalities this month. Opus 4.7 got more rigid and precise. GPT-5.5 got more natural and conversational. That's not a bug. That's why this combo works. One model became the perfect planner. The other became the perfect executor. Use them for what
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Opus outlines, GPT-5.5 drafts and executes
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This works beyond coding. Content strategy: use Opus to outline the argument structure. Use GPT-5.5 to draft. Research: use Opus to design the research methodology. Use GPT-5.5 to execute the analysis. Business planning: use Opus to define the framework. Use GPT-5.5 to