What happens when you keep Claude for orchestration and hand focused coding tasks to @MiniMax_AI on SambaNova? Faster workflows and dramatically lower cost. Join us live at AI Week Italy to see it in action. May 21 | 6:30 PM Pre-register https://
app.aiplay.it/programs/samba
nova-plan-with-claude-build-with-minimax-cutting-ai-coding-spend-with-a-two-model-workflow-on-sambanova?category_id=282680
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LLMS
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AI models Claude and MiniMax AI for faster workflows and lower costs
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Newer bigger LLMs excel at everything including poetry
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One of the most important properties of LLMs that we take for granted is that newer, bigger models are just better at everything. The AI Labs are pouring effort into economically valuable fields like coding, but bigger models are also better at negotiation, alignment, poetry, etc
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Customizing Bugbot’s Reasoning Effort for PR Reviews
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You can now customize how deeply Bugbot thinks during a PR review.
— Cursor (@cursor_ai) 11 mai 2026
At Cursor, we use high effort for changes to our infrastructure and backend so Bugbot detects more issues. Other PRs get default effort. pic.twitter.com/XRGFMHB2LLYou can now customize how deeply Bugbot thinks during a PR review. At Cursor, we use high effort for changes to our infrastructure and backend so Bugbot detects more issues. Other PRs get default effort.
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Critical reason to open up about AI use in academia
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This seems like a critical reason to open up about AI use in academia. Scholars are using old AI models, badly, and not talking about it. New models hallucinate very few citations, and good agentic harnesses drop that further. Being open about use would help us make new norms.
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Replit Introduces Parallel Agents for Automated Software Development
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Meet Replit Parallel Agents
— Replit ⠕ (@Replit) 11 mai 2026
Build faster by running up to 10 agents in parallel
Each agent gets its own copy of your app
They work on their own computer
Then merge their work agentically pic.twitter.com/06WyUQSFMMMeet Replit Parallel Agents Build faster by running up to 10 agents in parallel Each agent gets its own copy of your app
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A Framework for Effective AI Prompting
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Better prompts = better AI outputs • Structured → precision
• Analytical → research
• Conversational → ideas
• Planning → execution Great prompts are frameworks, not guesses. Via Giuliano Liguori (
@ingliguori
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Using Hermes and Codex AI Agents for Orchestration and Building
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This is so insane.
— Shubham Saboo (@Saboo_Shubham_) 11 mai 2026
Use native Hermes Agent /goal as the orchestrator and Codex /goal as the builder.
Thank you @Teknium! https://t.co/nOrSbm3pD2 pic.twitter.com/xtUTFPdz2oThis is so insane. Use native Hermes Agent /goal as the orchestrator and Codex /goal as the builder. Thank you @Teknium
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Gemini Omni: Perfect Video AI Text Coherence
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🚨 @GeminiApp cooked up something INSANE.
— Charly Wargnier (@DataChaz) 11 mai 2026
Gemini Omni is the video model we have been waiting for.
Just check out this first output, the text coherence is just PERFECT 🤯
This has to be the official nano-banana moment for video AI ↓ pic.twitter.com/ANEWAbKV3f@GeminiApp cooked up something INSANE. Gemini Omni is the video model we have been waiting for. Just check out this first output, the text coherence is just PERFECT This has to be the official nano-banana moment for video AI ↓
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Hermes AI agent features a native Kanban board for task management
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Hermes has a native Kanban board, so all you need to do is just ask your agent.
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New Research Challenges Intuition on AI Agent Goal Clarification
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Cool paper from PwC. "Earlier is always better" is the default intuition for agent clarification. New paper claims that's mostly wrong. Goal clarification loses nearly all of its value after just 10% of execution. The team built a forced-injection framework that drops