← Top 100 KI
PGPeter Gostev, Corporate AI lead, commentator

Top 100 KI · Vereinigtes Königreich

Peter Gostev

Independent Vereinigtes Königreich

Score
6.516−16 heute
Rang
104/198 ↓16
in 90 Tagen
−21−0,3 %

Peter Gostev ist AI Capability Lead bei Arena.ai mit dem Schwerpunkt auf generativer KI und Benchmarking-Modellen. Er veröffentlicht detaillierte Bewertungen von KI-Modellen, insbesondere im Hinblick auf deren Fähigkeit, unsinnige Anfragen zu verarbeiten, durch seinen „Bullshit Benchmark“. Seine Inhalte umfassen technische Demonstrationen, Vergleiche von KI-Modellen und Einblicke in KI-Entwicklungsumgebungen.

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Stand: 25. Okt. 2026.

Die Rohdaten · letzte 90 Tage

Median-Aufrufe
14.831
pro Beitrag
Median-Interaktionen
185
pro Beitrag
Beiträge
398
in 90 Tagen
Follower
97.056
alle gewerteten Netzwerke

Woraus sich der Score ergibt

Perzentile 0 – 100 im Vergleich zu allen erfassten Creators.

  • Reichweite · 30 %73

    Ø Aufrufe pro Beitrag über 90 Tage

  • Engagement · 30 %55

    Ø Reaktionen pro Beitrag

  • Publikum · 30 %70

    Follower gesamt, im Verhältnis zur Bevölkerung

  • Regelmäßigkeit · 10 %100

    Posting-Rhythmus (25 Posts / 90 T = 100)

Netzwerke

97.056 Follower insgesamt

NetzwerkFollowerScore
X@petergostev28.9677.034t3
LinkedIn@peter-gostev68.0899.628t1

Letzte 30 Tage

Die besten Posts von Gostev

  1. X · vor 21 Tagen#1
    Mistral Large 4 was trained on 4,000 GPUs and Astra was trained on 100,000 of them. We'll see what the kitten can pull off, but the disparity is pretty stark
    PGPeter Gostev, Corporate AI lead, commentatorPeter Gostev

    168.011 Aufrufe3013 Interaktionen

  2. Holy cow, so based on OpenAI's UK filings, average salary in 2025 was £794k and £1.52m share based compensation on top of that. So the total was £2.35m = $3.1m per employee https://t.co/YOUYMmTBkg
    X · vor 13 Tagen#2
    PGPeter Gostev, Corporate AI lead, commentatorPeter Gostev

    Holy cow, so based on OpenAI's UK filings, average salary in 2025 was £794k and £1.52m share based compensation on top of that. So the total was £2.35m = $3.1m per employee https://t.co/YOUYMmTBkg

    615.540 Aufrufe2013 Interaktionen

  3. I have a Continuous Learning benchmark where models attempt to learn to play chess. They are given a /goal of learning and improving playing against a Stockfish opponent in 200 games. They can choose the difficulty, t…
    X · vor 23 Tagen#3
    PGPeter Gostev, Corporate AI lead, commentatorPeter Gostev

    I have a Continuous Learning benchmark where models attempt to learn to play chess. They are given a /goal of learning and improving playing against a Stockfish opponent in 200 games. They can choose the difficulty, t…

    2,2 Mio. Aufrufe1952 Interaktionen

  4. X · vor 20 Tagen#4
    "On average, each result used three hours of ChatGPT Pro thinking compute with [the unreleased internal OpenAI] model." So these unsolved problems were solved in 3 hours each of next gen chatty pro? 💀
    PGPeter Gostev, Corporate AI lead, commentatorPeter Gostev

    84.865 Aufrufe1876 Interaktionen

  5. X · vor 30 Tagen#5
    Calling LLMs "stochastic parrots" in 2021, then claiming Fable and Astra aren’t LLMs, is like arguing in 1900 that planes would never fly, then when they carry millions people, arguing that: "they aren’t really planes…
    PGPeter Gostev, Corporate AI lead, commentatorPeter Gostev

    68.229 Aufrufe1690 Interaktionen

  6. I probably spent 300 billion tokens on Hadwiger–Nelson problem (GPT-5.6 and Astra) and got absolutely nothing - and here it is, five-colours is no go, lower bound has moved to 6 or 7. Not a full solution yet, but it's…
    X · vor 20 Tagen#6
    PGPeter Gostev, Corporate AI lead, commentatorPeter Gostev

    I probably spent 300 billion tokens on Hadwiger–Nelson problem (GPT-5.6 and Astra) and got absolutely nothing - and here it is, five-colours is no go, lower bound has moved to 6 or 7. Not a full solution yet, but it's…

    99.521 Aufrufe1441 Interaktionen

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