Daily AI Briefing

Monday, July 13, 2026

The 6 top stories of the 68 AIBriefs curated that day.

LaunchAI Models15 sources

Meta launches Muse Spark 1.1 with API and agentic focus

Muse Spark 1.1 scores 51 on the Artificial Analysis Intelligence Index, up 8 points from 1.0, and is cost-efficient. Meta claims significant improvements in agentic tool calling and computer use, with a 43-point improvement on DeepSWE. The model is available via the new Meta Model API (not in EU).

EventAI Models1 source

Richard Sutton launches Oak Lab targeting trillion-parameter, 20-watt AGI

Richard Sutton, a pioneer in reinforcement learning, announced the launch of Oak Lab, aiming to build a trillion-parameter agent that learns and plans in real-time using only 20 watts. The lab's architecture, called OaK (Options and Knowledge), is based on dynamic RL where the AI learns continuously from its own experiences.

AnalysisPolicy4 sources

How Claude's values vary by model and language

Anthropic analyzed 300K+ anonymized conversations to study how Claude's expressed values differ across models and languages. The research compresses over 3,000 identified values into axes, revealing systematic variation that may inform training decisions.

AnalysisBusiness1 source

GenAI economy: $110B revenue, $1.5T spending per new analysis

A Substack analysis estimates GenAI companies generate $110 billion in annual revenue, with total spending reaching $1.5 trillion. Revenue growth has accelerated 90x, from 180 days to under two days to add $1 billion.

Also that day

  1. LaunchWorld's first fully robotic pharmacy fills prescriptions in 60 seconds
  2. EventIndustry leaders discuss AI-native transformation at NTT, Mizuho, Mercari
  3. LaunchBrain-inspired hardware brings faster, lower-power anomaly detection to AI systems
  4. LaunchPercipient launches Certera.AI, blind testing ground for legal AI
  5. LaunchCloudflare introduces Precursor to detect AI agents via client-side signals
  6. AnalysisVerbalized Sampling: ICML paper on LLM diversity
  7. AnalysisStanford researchers introduce TRACE system for agentic training
  8. AnalysisSimulating everything, sort of: The promise and limits of world models
  9. AnalysisKarpathy: Context windows are a cheap way to manipulate AI
  10. AnalysisMeta files patent for AI that listens all day, tracks emotions
  11. AnalysisVerifying Rust cryptography in SymCrypt, from standards to code
  12. EventProtesters March on OpenAI, Anthropic, and Google DeepMind Demanding AI Development Pause

50 more stories that day — open the live feed.

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