Top stories in AI today: – Elon Musk loses lawsuit against OpenAI, Microsoft
– Cursor’s Composer 2.5 nears coding frontier
– 3D model anything with Claude and Blender
– Odyssey’s multimodal, multiplayer world models
– 4 new AI tools, community workflows, and more
LLMS
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Top AI Stories: OpenAI Lawsuit, Cursor 2.5, Claude 3D, World Models
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Claude Code ADK and the Automation of Enterprise Development Workflows
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The ADK drops inside Claude Code. Voice agents now ship from a terminal with git, CI/CD, and version control. Flows that took weeks at enterprise rollouts now take an afternoon.
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New ADK released for Claude Code integration
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There's a company you've almost certainly never heard of that's quietly handled a billion conversations across 75 languages.
— AI Highlight (@AIHighlight) 19 mai 2026
You've probably talked to their AI without knowing it.
Today they shipped an ADK that plugs into Claude Code and nobody is talking about it. pic.twitter.com/YEessO6THqThere's a company you've almost certainly never heard of that's quietly handled a billion conversations across 75 languages. You've probably talked to their AI without knowing it. Today they shipped an ADK that plugs into Claude Code and nobody is talking about it.
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Grok AI update shifts focus toward workflow automation
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🚨Grok just got a serious upgrade.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 19 mai 2026
xAI is pushing AI assistants beyond chat and into real workflow automation. This is the kind of update that makes you rethink what an AI can actually do. https://t.co/svpmtRVopUGrok just got a serious upgrade. xAI is pushing AI assistants beyond chat and into real workflow automation. This is the kind of update that makes you rethink what an AI can actually do.
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Regression reported in Anthropic’s Opus 4.7 model performance
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Opus 4.7 is ignoring project instructions, skipping MCP servers, and burning through usage limits on tasks Opus 4.6 handles first try. Dozens of confirmed reports. Anthropic acknowledged the regression. The failures are specific:
→ Project instructions ignored entirely
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Using cross-tool AI workflows for coding efficiency
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Using Codex to make Claude better is exactly the kind of cross-tool workflow that's becoming the actual edge.
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Optimizing LLM token usage by removing polite filler
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The bigger point: you're paying for "Certainly!" and "I'd be happy to help with that" on every single response. Those tokens cost real money at scale. And they cost you time at every scale. Caveman mode isn't a hack. It's a correction. LLMs were trained on polite human text.
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Performance Benchmarks of AI Plugin Token Reduction
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The actual benchmarks from the original plugin: → Average 65% output token reduction across 10 real prompts
→ Range: 22-87% depending on task type
→ Coding explanations saw the highest compression
→ Code blocks themselves stayed identical One tester ran it for 6 days on a -
Optimizing LLM Performance Through Brevity and Prompt Engineering
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Why does talking like a caveman actually work? Three things happening at once: → LLMs spend 40-60% of output tokens on filler. Greetings, restatements, encouragement, transitions. You scroll past all of it. Caveman strips it. → A March 2026 paper found that brevity
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Professor says transformers paper would fail his student
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If the transformers paper was written by one of my students, I wouldn’t let him graduate until he did a better job.