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PGPeter Gostev, Corporate AI lead, commentator

Top 100 IA · Regno Unito

Peter Gostev

Independent Regno Unito

Punteggio
65160 oggi
Posizione
104/198 ↓15
in 90 giorni
−31−0,4%

Peter Gostev è un AI Capability Lead presso Arena.ai, specializzato in AI generativa e benchmarking di modelli. Pubblica valutazioni dettagliate dei modelli di intelligenza artificiale, concentrandosi in particolare sulla loro capacità di gestire query senza senso attraverso il suo "Bullshit Benchmark". I suoi contenuti includono dimostrazioni tecniche, confronti tra modelli di AI e approfondimenti sugli ambienti di sviluppo dell'intelligenza artificiale.

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Dati al 26 ott 2026.

I numeri grezzi · ultimi 90 giorni

Visualizzazioni mediane
14,8K
per post
Interazioni mediane
185
per post
Post
398
in 90 giorni
Follower
97,1K
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Percentili 0 – 100 rispetto a tutti i creator monitorati.

  • Portata · 30%73

    Visualizzazioni medie per post su 90 giorni

  • Engagement · 30%55

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  • Audience · 30%70

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  • Costanza · 10%100

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97,1K follower in totale

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Ultimi 30 giorni

I migliori post di Gostev

  1. X · 21 gg fa#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

    168K visualizzazioni3K interazioni

  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 · 13 gg fa#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

    615,5K visualizzazioni2K interazioni

  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 · 24 gg fa#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 Mln visualizzazioni2K interazioni

  4. X · 21 gg fa#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

    84,9K visualizzazioni1,9K interazioni

  5. 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 · 21 gg fa#5
    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…

    99,5K visualizzazioni1,4K interazioni

  6. Opus is such an artist https://t.co/Xw7EsrX77G
    X · 5 gg fa#6
    PGPeter Gostev, Corporate AI lead, commentatorPeter Gostev

    Opus is such an artist https://t.co/Xw7EsrX77G

    79,6K visualizzazioni1,4K interazioni

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