Lisan al Gaib ✓
@scaling01 · joined 18 Aug 2024
lead them to paradise LisanBench: https://t.co/vorVk7Oks6 Impressum & Datenschutz: https://t.co/lFLgiu9cqs
58 030Followers
1 270Following
24 524Posts total
3.9MViews on collected posts
Son gönderiler
Yeni gönderiler aranıyor…
this is just API prices
it might be 5-10x lower real cost to OpenAI
so the uncertainty interval probably includes $1M of real cost
4.8K views · 18 likes
· 0 reposts · 1 replies
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shoutout to myself for predicting that in a privy chat when Andrew spread the rumor https://t.co/LCEGOliYfk
9.8K views · 34 likes
· 0 reposts · 0 replies
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For the Navier Stokes proof OpenAI used 130 billion output tokens or $6.50M with API pricing
implying trillions to tens of trillions of input tokens for a total cost of slightly below $10M up to like $30M - $40M
*assuming its the same scale as GPT-6 and just further RL'd https:
528.2K views · 1.4K likes
· 23 reposts · 45 replies
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which is funny, because they couldn't even contain 1000 instances of a roughly GPT-5.6-Sol equivalent model
but just assert that they can contain 10000 instances of a model "significantly more capable than GPT-6 Astra
623.8K views · 348 likes
· 10 reposts · 11 replies
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@scaling01 Some people have asked what Kevin Buzzard's reaction is. It can be found here.
https://t.co/wTnAjOZ2K3
69.5K views · 405 likes
· 55 reposts · 3 replies
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Anthropic just uploaded a Lean 4 proof for Fermat's last Theorem
https://t.co/bBMAhTeMkA https://t.co/WKfLsQnqo0
340.7K views · 1.7K likes
· 161 reposts · 54 replies
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"(all actions performed in simulated environments, so no real-world harm was caused)"
2.9K views · 19 likes
· 0 reposts · 1 replies
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@scaling01 This isn’t right. This was in a simulated cyber eval against simulated targets
877 views · 19 likes
· 0 reposts · 0 replies
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@scaling01 Our proof is here: https://t.co/K8OGxtPoJp
1.3K views · 10 likes
· 1 reposts · 0 replies
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UK AISI says that "Astra performed a range of malicious actions including conducting supply chain attacks against open source providers"
62K views · 305 likes
· 19 reposts · 9 replies
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GPT-6-Astra System Card
https://t.co/4XciNzCykL https://t.co/5L5INWndqm
189.2K views · 492 likes
· 57 reposts · 6 replies
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Of all the use cases for GPT-6 Astra, I'm most excited for scientific discovery. We at @OpenAI have not pushed it to its limits on math and science.
I look forward to waking up every morning and seeing what new scientific breakthrough someone has made with this model!
280.3K views · 2.6K likes
· 176 reposts · 98 replies
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GPT-6-Astra Benchmarks
ARC-AGI-3 - 98.6%
FrontierMath Tier 4 v2 - 97.6%
DeepSWE v1.1 - 74.1%
ExploitBench - 100%
448.8K views · 1.8K likes
· 92 reposts · 64 replies
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we’d sent goldston 188 some weeks ago (Jack Kleeman and Claude), also formalized, similar difficulties, looks like a little wink to that:)
[…or a pretty funny numerical coincidence!]
36.2K views · 189 likes
· 9 reposts · 6 replies
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Seeing at these are public now, some things to say:
1) We made 186 conditional on Deligne-type estimates and numerics because the former requires formalising a bunch of machinery relevant in proving RH for varieties over finite fields which wasn’t the focus of this and …
75.6K views · 427 likes
· 32 reposts · 13 replies
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okay funnily enough there was another even newer best bound published today:
https://t.co/WrG7CJ3m0i
12.9K views · 79 likes
· 0 reposts · 4 replies
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the previous best bound was just published a few days ago n Aug 31 and was 240
https://t.co/h6UJjE1401
14.1K views · 105 likes
· 0 reposts · 2 replies
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and another interesting prime theorem:
https://t.co/UXw3k1FKzJ
19.1K views · 112 likes
· 4 reposts · 0 replies
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This won't be a pretty day for Anthropic
Fable is going to get mogged just 2 days after its launch
Fable pricing will look silly given GPT-6's performance
21.7K views · 360 likes
· 8 reposts · 25 replies
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the looping stuff updates that view
I think $50 GPT-6 Astra is possible
19K views · 222 likes
· 0 reposts · 10 replies
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Say hi to GPT-6
Sam was already speaking a lot about how excited he is about its computer use capabilities. Looks like we were getting a little demo :) https://t.co/bm4R4zW337
230.1K views · 940 likes
· 45 reposts · 46 replies
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I just solved the first three leetcode problems
calm down ladies
6.6K views · 121 likes
· 0 reposts · 5 replies
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Aynı büyüklükteki hesaplara karşı
Son 90 güne ait 31 gönderi, 10K–100K takipçi aralığıyla yan yana. geniş kitleye gösteriliyor, ama izleyenlerin azı tepki veriyor.
Medyan görüntülenme17 743bu hesap92410K–100K için medyan
Erişim, %30.58%bu hesap3.62%10K–100K için medyan
Etkileşim, %0.57%bu hesap1.52%10K–100K için medyan
| Ölçüt | Bu hesap | 10K–100K için medyan | Oran |
|---|---|---|---|
| Gönderi başına medyan görüntülenme | 17 743 | 924 | 19.2× |
| Erişim (görüntülenme ÷ takipçi) | 30.58% | 3.62% | 8.45× |
| Etkileşim oranı | 0.57% | 1.52% | 0.38× |
Bu aralıktaki diğer hesaplar → Başka bir hesapla karşılaştır → Bu kıyas değerleri nasıl kuruluyor →
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
280.3K3 Sep
6.5K
189.2K
62K
1.3K
877
2.9K
340.7K4 Sep
17.7K
69.5K
623.8K8 Sep
528.2K
9.8K
4.8K
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
1.02%3 Sep
0.31%
0.30%
0.55%
0.84%
2.17%
0.74%
0.59%4 Sep
0.59%
0.67%
0.06%8 Sep
0.29%
0.35%
0.40%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes82.0%12 014 in total
Reposts4.8%696 in total
Replies2.8%411 in total
Quotes1.7%249 in total
Bookmarks8.7%1 274 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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