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PGPeter Gostev, Corporate AI lead, commentator

Top 100 AI · United Kingdom

Peter Gostev

Independent United Kingdom

Score
6,516−16 today
Rank
104/198 ↓16
over 90 days
−21−0.3%

Peter Gostev is an AI Capability Lead at Arena.ai, focusing on generative AI and benchmarking models. He publishes detailed evaluations of AI models, particularly focusing on their ability to handle nonsensical queries through his 'Bullshit Benchmark'. His content includes technical demonstrations, comparisons of AI models, and insights into AI development environments.

Data as of Oct 25, 2026.

The raw numbers · last 90 days

Median views
14.8K
per post
Median engagements
185
per post
Posts
398
over 90 days
Followers
97.1K
all scored platforms

What drives the score

Percentiles 0–100 against all tracked creators.

  • Reach · 30%73

    Average views per post over 90 days

  • Engagement · 30%55

    Average reactions per post

  • Audience · 30%70

    Total followers, relative to population

  • Consistency · 10%100

    Posting frequency (25 posts / 90 days = 100)

Platforms

97.1K total followers

PlatformFollowersScore
X@petergostev29K7,034t3
LinkedIn@peter-gostev68.1K9,628t1

Last 30 days

Gostev's top posts

  1. X · 20 days ago#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 views3K engagements

  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 · 12 days ago#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 views2K engagements

  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 · 23 days ago#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…

    2.2M views2K engagements

  4. X · 20 days ago#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 views1.9K engagements

  5. X · 30 days ago#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

    68.2K views1.7K engagements

  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 · 20 days ago#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…

    99.5K views1.4K engagements

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