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PGPeter Gostev, Corporate AI lead, commentator

Top 100 IA · Reino Unido

Peter Gostev

Independent Reino Unido

Puntuación
6516−16 hoy
Puesto
104/198 ↓16
en 90 días
−21−0,3 %

Peter Gostev es líder de capacidades de IA en Arena.ai, especializándose en IA generativa y modelos de evaluación comparativa. Publica evaluaciones detalladas de modelos de IA, centrándose especialmente en su capacidad para manejar consultas absurdas a través de su 'Bullshit Benchmark'. Su contenido incluye demostraciones técnicas, comparaciones de modelos de IA y análisis de entornos de desarrollo de IA.

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Datos a 25 oct 2026.

Las cifras brutas · últimos 90 días

Visualizaciones medianas
14,8 mil
por publicación
Interacciones medianas
185
por publicación
Publicaciones
398
en 90 días
Seguidores
97,1 mil
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Percentiles 0 – 100 frente a todos los creadores seguidos.

  • Alcance · 30 %73

    Visualizaciones medias por publicación en 90 días

  • Interacción · 30 %55

    Reacciones medias por publicación

  • Audiencia · 30 %70

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  • Regularidad · 10 %100

    Ritmo de publicación (25 posts / 90 d = 100)

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X@petergostev29 mil7034t3
LinkedIn@peter-gostev68,1 mil9628t1

Últimos 30 días

Las mejores publicaciones de Gostev

  1. X · hace 20 d#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 mil visualizaciones3 mil interacciones

  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 · hace 12 d#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

    615,5 mil visualizaciones2 mil interacciones

  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 · hace 23 d#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 M visualizaciones2 mil interacciones

  4. X · hace 20 d#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

    84,9 mil visualizaciones1,9 mil interacciones

  5. X · hace 30 d#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

    68,2 mil visualizaciones1,7 mil interacciones

  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 · hace 20 d#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…

    99,5 mil visualizaciones1,4 mil interacciones

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