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About AI Signal Desk

AI Signal Desk cuts through the noise of AI news to surface events that actually matter. We focus on events, not articles — multiple stories about the same thing get clustered together so you see the signal, not the echo chamber.

How Scoring Works

Every event gets a score from 0-100 based on concrete factors. High scores mean real, verifiable changes that professionals need to know about. Low scores mean noise.

Positive Factors

  • Evidence Quality (0-20): Primary sources (official blogs, papers, filings) score high. Speculation scores low.
  • Concreteness (0-15): Specific numbers, dates, and specifications. Vague claims score low.
  • Real-World Impact (0-20): Does this change what people can actually do? Theoretical advances with no deployment score low.
  • Falsifiability (0-10): Can this be verified or disproven? "AI will transform X" = 0. "Model scores 92% on benchmark Y" = high.
  • Novelty (0-10): Is this genuinely new information or recycled news?
  • Actionability (0-10): Can someone make a decision based on this?
  • Longevity (0-10): Will this matter in 6 months?
  • Power Shift (0-5): Does this change who has power or access?

Noise Penalties

  • Vagueness (-0 to -5): "Revolutionary", "game-changing", "could transform"
  • Speculation (-0 to -5): Future predictions without evidence
  • Packaging (-0 to -5): PR-packaged announcements overstating changes
  • Recycling (-0 to -5): Old news presented as breakthroughs
  • Engagement Bait (-0 to -5): Clickbait, fear-mongering, hype

Signal Tags

Events are categorized by the type of signal:

capabilityWhat AI can do
economicsPricing, costs, markets
distributionWho gets access
regulationLaws, policies, governance
infrastructureCompute, data centers, chips
adoptionReal-world usage
labourJobs, workforce impact
powerConcentration/democratization

Confidence Levels

HighStrong primary evidence, clear facts
MediumSome uncertainty or missing context
LowLimited evidence, high uncertainty

Sources

We ingest from official company blogs (OpenAI, Anthropic, Google DeepMind, Meta AI, etc.), major tech news outlets (TechCrunch, The Verge, Wired, Ars Technica), and research sources (arXiv, AI newsletters). Sources are tiered by reliability.

Philosophy

Most AI news is noise. We're skeptical by default. Reserve high scores for genuinely important events with strong evidence. If you're reading something here with a score above 70, it's probably worth your time. Below 50? Probably not.