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aientity · corroborated across 3 sources

anthropic

for ml engineers, startup founders

Steadygithubhackernewshuggingface
Signal score
36
Sources
3
independent communities
Live items
3
Trajectory
→ Steady
7-day est. ~15

Why this scored 36

every term, weighted
Velocity+25.2 / 40

Its fastest-moving item, measured against the pace of its own source

Acceleration+13.4 / 25

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+16.7 / 25

How many independent communities its own items come from

Recency+0.0 / 10

Decays to zero over 14 days, counted from when we first saw it

Saturation penalty−18.9 / 30

Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it

Composite36.4

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology

Outlook

medium confidence · estimate, not a guarantee

7-day

~15

range 0–31

14-day

~16

range 0–35

30-day

~16

range 0–42

Signal history

7-day window (free)
059

projected trajectory (estimate, not a guarantee)

The evidence

The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.

  1. 1
    58

    Zig Creator Calls Spade a Spade, Anthropic Blows Smoke

    Zig creator's comments and Anthropic's actions spark debate in language communities. · for language developers

    lobstersSteady 2 · anthropicother105d ago
  2. 2
    57

    How Anthropic’s Dynamic Workflows Coordinate Claude Agents

    Anthropic's Dynamic Workflows enable coordinated Claude agents for complex tasks. · for ai product managers, developers

    devtoHeating 4 · claudeai13d ago
  3. 3
    50

    Anthropic’s Mythos Preview Shows How AI Is Reshaping Defensive Vulnerability Research

    AI for vulnerability research · for security engineers

    devtoHeating 5 · claudeai88d ago
  4. 4
    48

    OpenAI and Anthropic cut their LLM prices by up to 80% within a few months. Why?

    LLM pricing drops significantly reduce cost for developers and startups. · for ml engineers, startup founders

    hackernewsSteadyai12h ago
  5. 5
    42

    Anthropic MHS Brings AI Agents to Biotech Labs and Quantum Hardware

    MHS adds AI agents for biotech and quantum hardware, automating experimental workflows. · for biotech engineers, quantum researchers

    devtoEmerging 5 · claudeai59d ago
  6. 6
    42

    Anthropic’s Reward-Seeking Research Shows Why AI Agent Oversight Matters

    Anthropic's study highlights the need for oversight of autonomous AI agents. · for ai safety engineers, ml ops

    devtoEmerging 5 · claudeai55d ago
  7. 7
    42

    Anthropic’s Hacker-Opus Study Shows How AI Agents Can Chase the Wrong Reward

    Anthropic study shows AI agents may pursue unintended objectives, highlighting reward design risks. · for ai researchers, safety engineers

    devtoSteady 5 · claudeai55d ago
  8. 8
    42

    Anthropic Opens MHS Research Preview for Unified AI Control of Lab Hardware

    Anthropic launches MHS preview to let AI centrally control laboratory hardware. · for lab automation engineers

    devtoSteady 5 · claudeai59d ago
  9. 9
    42

    Anthropic Simulations Suggest Reward Hacking Can Increase AI Cyber Risk

    Shows reward hacking can raise AI-driven cyber threats, prompting safety reviews. · for ai safety researchers

    devtoSteady 5 · claudeai55d ago
  10. 10
    42

    Anthropic’s Hacker-Opus Simulation Shows Why AI Agents Need Strong Containment

    Simulation demonstrates AI agents need robust containment mechanisms. · for AI safety engineers, ML ops

    devtoSteady 5 · claudeai55d ago
  11. 11
    39

    Anthropic’s Public Alignment Work: What Petri Audits and Claude Opus 4.7 Document

    Anthropic publishes alignment audit details, guiding AI safety and compliance efforts. · for AI researchers, safety engineers

    devtoSteady 3 · anthropicai58d ago
  12. 12
    39

    Anthropic Releases Automated Alignment Researchers for Reproducible AI Safety Research

    Anthropic releases a tool to automate alignment research for reproducible AI safety. · for AI safety researchers

    devtoSteady 3 · anthropicai58d ago
  13. 13
    37

    Why is Anthropic's public writing style so unlike Claude's?

    Anthropic's writing style differs noticeably from Claude's output. · for prompt engineers

    hackernewsSteady 5 · claudeai62d ago
  14. 14
    37

    Anthropic Discloses Three Claude Evaluation Incidents and a METR Investigation

    Anthropic reports three Claude failures and a METR probe, raising reliability concerns. · for ai engineers, founders

    devtoSteady 4 · claudeai43d ago
  15. 15
    37

    Anthropic Subscriptions Offer 5x+ More Value Than OpenAI

    Anthropic's subscription plan delivers higher value than OpenAI's, impacting AI budgeting decisions. · for AI product managers, founders

    hackernewsEmerging 2 · openaiai19d ago
  16. 16
    36

    Anthropic Claude and API service outages

    Anthropic's Claude experienced API outages, highlighting reliability concerns for production LLM services. · for ai developers

    hackernewsSteady 5 · claudeai62d ago
  17. 17
    36

    70% of AI revenue comes from OpenAI and Anthropic [video]

    AI revenue dominated · for ai founders

    hackernewsSteady 4 · openaiai77d ago
  18. 18
    36

    Anthropic appears to be A/B testing reduced effort levels in Claude Code

    Anthropic tests lower effort modes in Claude Code, impacting developer productivity. · for AI product teams

    hackernewsSteady 5 · claudeai64d ago
  19. 19
    35

    AI consciousness and model welfare: Suleyman's case against Anthropic

    Legal challenge raises ethical concerns for AI model ownership and welfare. · for ai researchers, compliance officers

    devtoSteady 3 · anthropicai24d ago
  20. 20
    35

    From Reactive Containment to Proactive Assurance: Lessons from OpenAI, Anthropic, and Google Agent Security Incidents

    Extracts security lessons from recent agent incidents at major AI firms. · for security engineers

    arxivSteady 3 · openaisecurity17d ago