What if LLMs could read a million tokens without exploding in cost? Subquadratic, an AI research startup, just unveiled SubQ — the first model built on fully subquadratic sparse attention (SSA). Instead of comparing every token pair, SSA routes attention only to the truly
LLMS
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Fast Mode for Claude Opus 4.7 Now Available in Cursor
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Fast mode for Claude Opus 4.7 is now available in Cursor! It's 2.5x the speed at 6x the cost. For most tasks, we recommend using the standard speed.
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OpenAI and Anthropic funding news with and without Wokelo MCP
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"tell me about recent funding and news for openai and anthropic" result with @wokeloai mcp included today's trial, tomoro acquisition, and claude's legal push without wokelo with wokelo mcp
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Gemini Intelligence deeply integrates into Android before Apple’s revamped Siri
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Gemini Intelligence turns Android into a more proactive AI system that can automate multi-step tasks across apps, browse and autofill.
— Chubby♨️ (@kimmonismus) 12 mai 2026
Two things are noteworthy here:
1) They're using the time to deeply integrate Gemini into the OS before Apple releases its revamped Siri (which… https://t.co/RsptiU4OoS pic.twitter.com/DdVDEt102sGemini Intelligence turns Android into a more proactive AI system that can automate multi-step tasks across apps, browse and autofill. Two things are noteworthy here: 1) They're using the time to deeply integrate Gemini into the OS before Apple releases its revamped Siri (which
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AI Agents Workflow: Codex, Claude Code, and Hermes Orchestration
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Codex /goal builds it.
— Shubham Saboo (@Saboo_Shubham_) 12 mai 2026
Claude Code /goal review and refines it.
Hermes /goal manages the orchestration and handoff.
All tracked on a single Kanban Board and agents keep running in the loop. pic.twitter.com/WAIr8zCP4oCodex /goal builds it. Claude Code /goal review and refines it. Hermes /goal manages the orchestration and handoff. All tracked on a single Kanban Board and agents keep running in the loop.
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Best practices for managing AI agents in software development
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7. If you wouldn't let a junior dev merge it, don't let Claude merge it. This was the line that got the most agreement. Treat AI like a fast, tireless junior developer. Talented but unsupervised? Dangerous. Talented with code review, clear scope, and ownership? A multiplier.
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Prompt precision requirements across newer LLM generations
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6. Precision scales with model capability. A key insight from the thread: newer models like Opus expect more precise instructions and guess less than previous versions. If your prompts worked fine on older Claude but break on the latest version, your prompts were always vague.
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Sandboxing Workflows for AI-Generated Code Tasks
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5. Sandbox everything. The top commenters use worktrees, separate folders, or isolated environments for every AI-generated task. Nothing touches the main codebase until it's been reviewed. One commenter's workflow: spin up a parallel task in a sandboxed worktree, let Claude
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Using Planning Mode to Improve AI Code Generation Quality
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4. Use planning mode before execution mode. Multiple commenters flagged this. When you let Claude plan the approach before writing the code, the output quality jumps. When you skip straight to "write the code," you're asking a nondeterministic system to make architectural