Thomas Wolf ✓
@Thom_Wolf · joined 03 Feb 2011
co-founder @HuggingFace - moonshots
133 118Followers
7 875Following
5 688Posts total
4.9MViews on collected posts
โพสต์ล่าสุด
กำลังค้นหาโพสต์ใหม่…
@Thom_Wolf @burny_tech It’s pretty unlikely AI’s can’t tell their proofs are slop because there are so many objective markers that at least correlate with quality, like proof length and reuse of shared lemmas. It’s kind of like how we know which phylogenetic trees in Biology are
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@Thom_Wolf imagine someone writing this post about GPT-3 and then discovering 2026 AI models; what we have today is 1-15% of the capabilities available in December 2027 and then another 6 months pass and so on; why do people insist on taking stands on current levels of machine in
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friends are regularly surprised when i say i don’t think math is (yet) “solved,” so in the wake of the ns result i figured i’d explain this take a bit more widely.
first, this is massively impressive and clearly an example of AI being, in some respects, far more powerful than
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good essay and overview of the current state and challenges on scaling/alignement
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This changes a bunch of fundamental assumptions about software
(distribution and adaptability at least)
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Huge implications - binaries are now basically editable code
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Another swarm of AI agents in the wild, this time on a German-language forum, found by safety researchers looking for activity similar to the swarm that attacked Hugging Face.
A couple of notes while reading the report at https://t.co/p6DS3GKnZL
1. The way they found it is http
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[CORRECTION] All the *closed* AIs are down
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All the AI is down https://t.co/cJbCgyOYDW
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it is actually a double easter-egg
two nerdy meanings are hiding in it:
one specific to Hugging Face
one specific to Nvidia
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@Thom_Wolf @goerll_ is it true 129303 is a hidden easter egg number? my daughter pointed it out
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@Thom_Wolf needs a dock, so that it can self charge and continue. then can build some fun long term policies
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@Thom_Wolf This is the lunacy I’ve missed in big tech — please double down and double down again Thomas!!!
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@Thom_Wolf Love it! This robot is so cute.
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Sharing some fun experiments with Microduck
Basically, once you have an open-source robot with so many sensors, the sky's the limit
Here we vibe-coded an image detector integration to detect and follow a laser pointer.
More at https://t.co/taOnVxxUAh https://t.co/6OhyhcqPei
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0:16
@Thom_Wolf OMG! this is so cute! I want 40 of these in my house now!
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We have a huge news to share today!
Today we are unveiling the first truly accessible RL robot - welcome Microduck
A 25 cm tiny open-source biped with 15 actuators and packed with sensors (camera, speaker, LiDAR, NFC, bluetooth, wifi, etc) that you train yourself with https://t
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0:51
The point of math isn't just finding proofs to theorems that someone puts in front of you (even if they have been open for decades), but also coming up with the most exciting concepts and conjectures that could make entirely new kinds of progress possible and change the future.
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เทียบกับบัญชีขนาดเดียวกัน
21 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 100K–1M ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.
ยอดดูมัธยฐาน20 542บัญชีนี้5 983ค่ามัธยฐานของ 100K–1M
การเข้าถึง, %15.43%บัญชีนี้1.49%ค่ามัธยฐานของ 100K–1M
การมีส่วนร่วม, %0.63%บัญชีนี้0.93%ค่ามัธยฐานของ 100K–1M
| ตัวชี้วัด | บัญชีนี้ | ค่ามัธยฐานของ 100K–1M | อัตราส่วน |
|---|---|---|---|
| ยอดดูมัธยฐานต่อโพสต์ | 20 542 | 5 983 | 3.43× |
| การเข้าถึง (ยอดดู ÷ ผู้ติดตาม) | 15.43% | 1.49% | 10.4× |
| อัตราการมีส่วนร่วม | 0.63% | 0.93% | 0.68× |
บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
33.3K27 Aug
2K29 Aug
39.5K3 Sep
37.3K
1.1M
17.3K
161.1K4 Sep
96.8K6 Sep
20.5K
13.4K7 Sep
57.4K9 Sep
938
187
634
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.69%27 Aug
0.60%29 Aug
0.03%3 Sep
0.54%
0.82%
1.43%
0.63%4 Sep
0.90%6 Sep
0.72%
0.32%7 Sep
0.88%9 Sep
0.53%
1.07%
0.63%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes67.4%21 767 in total
Reposts5.2%1 667 in total
Replies4.8%1 534 in total
Quotes3.9%1 258 in total
Bookmarks18.8%6 065 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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