Dan Luu
@danluu · joined 21 Dec 2008
Active on https://t.co/WG71Nrs60M; also trying out https://t.co/eLkwVd8jFD
47 319Followers
44Following
5 603Posts total
812KViews on collected posts
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Wir suchen neue Beiträge…
@danluu The problem is a bad fit for applying TLA+.
TLA+ shines for concurrent/distributed system problems, and is not useful for low-level sequential logic like Zstd data compression.
870 views · 6 likes
· 0 reposts · 0 replies
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@danluu > It didn't really do the fresh context thing almost ever
how is that supposed to work? running a subagent? I don't know if gpt would even understand that instruction.
685 views · 3 likes
· 0 reposts · 0 replies
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@danluu "I'm curious why AI labs haven't created RL envs to get agents to learn how to test well" - I have the so far unproven theory that RL does wonders for tool use (and benchmark tools are such a case) but fails at synthesis tasks. The first instinct (to get an LLM to rate th
587 views · 1 likes
· 0 reposts · 3 replies
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How well do agents use test/verification techniques?
https://t.co/7E31xiS2H0 https://t.co/schArJqkax
24.7K views · 183 likes
· 19 reposts · 7 replies
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@danluu just saying "wrong" after every statement is not a rebuttal to the actual point
8.2K views · 154 likes
· 3 reposts · 12 replies
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@danluu Ed Zitron performance https://t.co/6REjlJJ7O8
10.7K views · 160 likes
· 2 reposts · 0 replies
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@danluu I appreciate the sass https://t.co/QQqrmJsge5
13.4K views · 230 likes
· 2 reposts · 1 replies
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@danluu What about the AI predictions of these tech CEOs? Let's list them out.
9.2K views · 139 likes
· 0 reposts · 3 replies
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How accurate have Ed Zitron's AI skeptic predictions been?
https://t.co/gz2uhxMmHf https://t.co/qlyIzZxmz2
523.1K views · 1.7K likes
· 173 reposts · 102 replies
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@danluu I have the exact same problem: I notice bugs/problems EVERYWHERE - and have often wondered the exact same thing as to why others don’t
1.9K views · 10 likes
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@danluu man i keep having this issue too, i used to think it was my exotic setup but when i switched to the most normie apple shit imaginable i still kept running into crazy bugs
3.3K views · 28 likes
· 0 reposts · 1 replies
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Bug Blindness:
https://t.co/sMtN5HylQT https://t.co/CBCNQ2Wshg
140.6K views · 873 likes
· 44 reposts · 17 replies
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@danluu Again for those that didnt get it:
If you have to specify your prompt so throroughly and in such detail so that the LLM doesn't screw up your codebase, you might as well just write the code yourself.
302 views · 5 likes
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@danluu Quite the opposite, the more shit we layer the slower they will end up being
572 views · 6 likes
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@danluu @MarcJBrooker Floored that you can write something like this in anything close to 30 min (ps @david_perell: both Dan and Marc would make great guests) https://t.co/J8djtFZfOB
1.3K views · 10 likes
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There's no reason for software to be slow anymore:
https://t.co/H59Khcg0Ae https://t.co/nIqhmB3Gjf
52.5K views · 755 likes
· 63 reposts · 15 replies
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The benchmarkpocalypse:
https://t.co/Sxj2raTajH https://t.co/pPYJsZ8Xm5
17.9K views · 236 likes
· 27 reposts · 5 replies
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Computer latency: 1977-2017
https://t.co/6ClvBWaWVt https://t.co/r6ba173NNp
0 views · 3K likes
· 1.4K reposts · 89 replies
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Im Vergleich zu Konten gleicher Größe
18 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.
Medianaufrufe5 752dieses Konto924Median für 10K–100K
Reichweite, %12.16%dieses Konto3.62%Median für 10K–100K
Interaktion, %0.88%dieses Konto1.52%Median für 10K–100K
| Kennzahl | Dieses Konto | Median für 10K–100K | Verhältnis |
|---|---|---|---|
| Medianaufrufe pro Beitrag | 5 752 | 924 | 6.23× |
| Reichweite (Aufrufe ÷ Follower) | 12.16% | 3.62% | 3.36× |
| Interaktionsrate | 0.88% | 1.52% | 0.58× |
Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →
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
30222 Aug
140.6K29 Aug
3.3K
1.9K
2.2K30 Aug
523.1K1 Sep
9.2K
13.4K
10.7K
8.2K3 Sep
24.7K7 Sep
587
685
870
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
1.99%22 Aug
0.67%29 Aug
0.88%
0.53%
0.32%30 Aug
0.40%1 Sep
1.55%
1.74%
1.52%
2.06%3 Sep
0.87%7 Sep
0.68%
0.44%
0.69%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes64.6%4 508 in total
Reposts4.8%333 in total
Replies2.4%167 in total
Quotes1.8%129 in total
Bookmarks26.4%1 842 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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