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HHHorace He, Engineer, Thinking Machines

Top 100 AI · United States

Horace He

Thinking Machines United States

Score
6,575+1 today
Rank
103/198 ↓24
over 90 days
−225−3.1%

Horace He is a software engineer specializing in machine learning and compilers, with a focus on AI systems and human-AI interaction. He shares technical insights, performance comparisons, and educational content about ML models, hardware optimization, and coding solutions. His posts often include benchmarks, research findings, and memes related to AI and software engineering.

Data as of Oct 25, 2026.

The raw numbers · last 90 days

Median views
27.9K
per post
Median engagements
243
per post
Posts
24
over 90 days
Followers
56K
all scored platforms

What drives the score

Percentiles 0–100 against all tracked creators.

  • Reach · 30%81

    Average views per post over 90 days

  • Engagement · 30%60

    Average reactions per post

  • Audience · 30%59

    Total followers, relative to population

  • Consistency · 10%98

    Posting frequency (25 posts / 90 days = 100)

Platforms

56K total followers

PlatformFollowersScore
X@chhillee54.9K7,984t2
LinkedIn@horacehe1.1K35t10

Last 30 days

He's top posts

  1. X · 2 days ago#1
    I'm doing DP. I'm doing TP. I'm doing SP. I'm doing PP. I'm doing ZP. I'm doing FSDP. I'm doing 1F1B. I'm doing CP. I'm doing ETP. I'm doing DPA. I'm doing VPP. I'm doing P/D. I'm doing ZBPP. I'm doing DPA. I'm doing …
    HHHorace He, Engineer, Thinking MachinesHorace He

    41.8K views713 engagements

  2. There's an interesting distortion in inference pricing that appears to be driven by openrouter's routing. Namely, ridiculously cheap prefill and very expensive decode. For GLM 5.3, https://t.co/aLgdvVsDHp (highest vol…
    X · 22 days ago#2
    HHHorace He, Engineer, Thinking MachinesHorace He

    There's an interesting distortion in inference pricing that appears to be driven by openrouter's routing. Namely, ridiculously cheap prefill and very expensive decode. For GLM 5.3, https://t.co/aLgdvVsDHp (highest vol…

    57.5K views686 engagements

  3. X · 8 days ago#3
    Your model behaves differently during training and inference? Boy do I have a solution for you :^) https://t.co/60WkGyfwfD
    HHHorace He, Engineer, Thinking MachinesHorace He

    30.2K views524 engagements

  4. X · 27 days ago#4
    I find that surprisingly few people have *really* thought about why PD disagg is a good idea. Even fewer people have *really* thought about how PD disagg compares to mixed chunk prefill (as Matthew describes here).
    HHHorace He, Engineer, Thinking MachinesHorace He

    113K views468 engagements

  5. X · 12 days ago#5
    As @johnschulman2 has put it, there are many ways we can "spend compute to save our customers compute". Here's one of them - a variant of muon that works far better for lora fine-tuning :)
    HHHorace He, Engineer, Thinking MachinesHorace He

    25.7K views329 engagements

  6. X · 30 days ago#6
    I think this is kind of an interesting idea, and in some sense Tinker is already a way to "sell" our pretraining stack (although tinker admittedly doesn't use the super large scale features), but I'm not really sure w…
    HHHorace He, Engineer, Thinking MachinesHorace He

    23.3K views248 engagements

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