Haider. ✓
@haider1 · joined 18 Nov 2021
open intelligence for a decentralized future
71 564Followers
4 215Following
35 257Posts total
18.3MViews on collected posts
โพสต์ล่าสุด
กำลังค้นหาโพสต์ใหม่…
@haider1 Its cause the geniuses dont feel special anymore, AI is coming for everything.
21.2K views · 1.1K likes
· 13 reposts · 8 replies
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@haider1 "We should ban the printing press" - a scribe
16.4K views · 1.1K likes
· 16 reposts · 8 replies
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Mathematician Terence Tao:
"we have to slow down AI. the pace is insane, and there's no reason to be this fast — no reason at all"
It's amazing how willing we are to change everything without any idea what happens afterward
These are extremely nonlinear dynamics https://t.co/I
7.3M views · 7.3K likes
· 1K reposts · 870 replies
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0:32
@haider1 Calm down… the ARC AGI 3 benchmark results of Sol are understated (or Astra ones are overstated) - they used a different harness https://t.co/ddZrh1Y3vW
14K views · 9 likes
· 0 reposts · 5 replies
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@haider1 Unconfirmed benches don’t mean much yet.
I’ll wait until people actually use it. If those numbers hold in real work, that’s a different story.
2.4K views · 3 likes
· 0 reposts · 0 replies
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unconfirmed Astra benchmarks https://t.co/73PkQy9GWz
676.5K views · 551 likes
· 19 reposts · 38 replies
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Astra should be dropping today
and that would explain why every lab is rushing releases out now
not trying to overhype it, but I'd be surprised if Astra doesn't overshadow most of this quickly, which is why the staggered releases show these labs know what competitors are
426 views · 11 likes
· 0 reposts · 2 replies
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after "Astra" we wait for openai's big pre-trained model, "Bel"
astra still in the Agent-1 stage, but the continuous learning shown for Agent-2 will be the thing that changes the game in the next big models
if OAI has systems like that internally by dec, then we'll be way ahead
24.5K views · 295 likes
· 22 reposts · 12 replies
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i can't keep up with this crazy model release cycle anymore
actually, you won't either...
yesterday: fable 5.1 / mythos 5.1, qwen3.8-max-0902(updated), and the multimodal world model "Atlas"
today: gemini 3.8 flash holds SOTA for like 2 hours, then Meta drops Muse Spark 1:3
8.4K views · 105 likes
· 4 reposts · 20 replies
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how tf Meta is moving this insanely fast needs to be studied
they went from looking weirdly behind in the AI race to suddenly shipping at a pace that feels completely different https://t.co/P6lhp3bme1
55.6K views · 751 likes
· 29 reposts · 74 replies
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Astra will not be the best model this year as I reported on back in July. There is a ‘monster’ slated for end of year. - this ofc can be pushed to early next year due to security testing.
111.7K views · 1.5K likes
· 27 reposts · 51 replies
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@haider1 I want to punch this man in the head over and over until my hand breaks
107.9K views · 8.9K likes
· 173 reposts · 29 replies
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OpenAI CEO Sam Altman:
"in the next 6 months, we're close to a world where a descendant of ChatGPT can watch your screen, record every meeting and call, and have perfect context of your whole life"
We're only one model generation away from this being incredibly useful https://t
8.2M views · 4.1K likes
· 629 reposts · 1.2K replies
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had a great surprise conversation with Sam Altman (@sama) the other day in front of hundreds of Silicon Valley interns
We talked about:
- turning down Goldman Sachs and dropping out of Stanford
- how he got Peter Thiel and Paul Graham to take 19-year-old Sam seriously
- advice
446.9K views · 379 likes
· 33 reposts · 37 replies
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@haider1 They only allow you to use 1M tokens so they can charge for 1M, but all LLMs become retarded after 200k as you said.
2.4K views · 26 likes
· 0 reposts · 0 replies
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@haider1 Exactly, 1M context window is pure marketing.
17K views · 198 likes
· 0 reposts · 3 replies
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"1m context window" models after 200k tokens https://t.co/yJhvMbKkwq
771.3K views · 10.1K likes
· 407 reposts · 183 replies
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เทียบกับบัญชีขนาดเดียวกัน
17 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.
ยอดดูมัธยฐาน55 576บัญชีนี้924ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %77.66%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %0.33%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K
| ตัวชี้วัด | บัญชีนี้ | ค่ามัธยฐานของ 10K–100K | อัตราส่วน |
|---|---|---|---|
| ยอดดูมัธยฐานต่อโพสต์ | 55 576 | 924 | 60.1× |
| การเข้าถึง (ยอดดู ÷ ผู้ติดตาม) | 77.66% | 3.62% | 21.4× |
| อัตราการมีส่วนร่วม | 0.33% | 1.52% | 0.22× |
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
107.9K13 Aug
111.7K2 Sep
55.6K
8.4K
24.5K3 Sep
426
676.5K
11.3K
2.4K
14K
7.3M19 Sep
176.2K
16.4K
21.2K
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
8.47%13 Aug
1.41%2 Sep
1.55%
1.54%
1.35%3 Sep
3.05%
0.10%
0.33%
0.13%
0.11%
0.14%19 Sep
0.10%
6.92%
5.48%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes71.5%36 752 in total
Reposts4.7%2 419 in total
Replies4.9%2 543 in total
Quotes5.7%2 913 in total
Bookmarks13.2%6 760 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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