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Claude can control your computer now

Image via techcrunch.com

Sunday, March 29, 2026

Claude can control your computer now

Anthropic released Claude with computer control that lets it autonomously navigate your desktop to complete tasks. Google Research published a new compression technique that shrinks LLMs to 3 bits per parameter while keeping accuracy intact and running 8x faster.

Top Stories

1
Claude can now use your computer

Reddit

Anthropic's Claude can now autonomously control users' computers to complete tasks, joining the competitive race for AI agents sparked by the viral success of OpenClaw. This represents a significant step toward autonomous AI assistants that can handle complex workflows across applications.

anthropicclaudeagentsautomation
2
Google's Extreme Vector Compression

Google Research

Google's TurboQuant achieves 3-bit quantization of LLM key-value caches with zero accuracy loss and 6x memory reduction, while delivering up to 8x speedup on H100 GPUs. The breakthrough compression technique also significantly accelerates vector search for semantic search applications at scale.

quantizationllmcompressionvector-search
3
A Foundation Model of Vision, Audition, and Language for In-silico neuroscience

Substack

Meta's TRIBE v2 is a multimodal foundation model that predicts human brain activity from video, audio, and language, achieving breakthrough accuracy in modeling cognitive responses and enabling virtual neuroscience experiments that replicate decades of empirical findings.

multimodalneurosciencefoundation-modelmeta
4
Agentic AI and the next intelligence explosion

Substack

Google researchers demonstrate that advanced reasoning models spontaneously develop internal multi-agent 'societies of thought' and argue the future of AI will be hybrid human-AI social systems requiring institutional governance frameworks rather than a singular superintelligence. This shifts AI development priorities from scaling individual models to designing multi-agent ecosystems with constitutional checks and balances.

agentsreasoning-modelsdeepseekai-governance
5
Meta's brain model beats real fMRI scans

Meta

Meta's TRIBE v2 AI model accurately predicts high-resolution human brain activity from visual, audio, and language inputs, trained on 700+ volunteers. The open-sourced model enables neuroscience research without constant human testing and could inform both clinical treatments and AI development.

metaneuroscienceopen-sourcebrain-computer-interface

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