Philippe Lemoine ✓
@phl43 · Washington DC · joined 08 Apr 2017
Just a random person writing about stuff. "At least he's pretty smart." (@bechhof)
70 618Followers
1 822Following
166 073Posts total
786.5KViews on collected posts
Posts recentes
Procurando novos posts…
@phl43 I think he's saying that you send out a swarm of AI agents via a Python loop, which I suspect is accurate.
1K views · 13 likes
· 0 reposts · 3 replies
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@phl43 I think the human brain is pretty special and I feel fortunate to have one. But other than that, totally agree.
5.7K views · 70 likes
· 0 reposts · 5 replies
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@phl43 He's not describing LLMs as a Python loop, he's describing the harnesses that drive LLMs in agentic loops as a Python loop, which is generally accurate.
4.4K views · 191 likes
· 1 reposts · 5 replies
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Putting aside how idiotic it is to describe a LLM as a "Python loop", what's amazing with those people, who I'm sure would self-describe as materialists, is their assumption that a computer program couldn't possibly be intelligent, which I think reveals how deeply entrenched some
114.1K views · 574 likes
· 49 reposts · 102 replies
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Cory Doctorow's new post on whether AI will kill humanity https://t.co/JEwiUiAMah
494.7K views · 5K likes
· 758 reposts · 129 replies
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By the way, there is a chance that I will also be in LA around the same time, but it's much less clear.
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On the Navier-Stokes drama, it's still unclear what happened exactly, but judging from what I understand at the moment I'm not sure that anyone will come out of it looking particularly good.
4.3K views · 77 likes
· 1 reposts · 8 replies
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I think you have to be very naive to think that China would be a benign hegemon, if only because there is no such thing, but as I explained in my essay on China's rise, I also don't think there is a realistic scenario in which China can just replace the US as the global hegemon h
8.2K views · 80 likes
· 8 reposts · 8 replies
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I should be in SF around Halloween, but I’m not sure how long I’ll be staying exactly. Let me know if you’re going to be there around that time and want to meet.
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Good pushes! There's 2 rough categories to your points 1. Will there be enough demand? 2. Will labs be able to capture the value?
Let me address both.
1. Re demand
One intuition pump is this analysis that Epoch did that shows that if all 30 million programmers in the world
111.7K views · 396 likes
· 17 reposts · 31 replies
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@phl43 Value will be captured by the public through overall productivity, as usual for general purpose technologies. Almost everything we do now depends on electricity but the world is not ruled by electricity tycoons who control all the energy
3.4K views · 32 likes
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@phl43 FWIW we get into it in the comments. See this and the back and forth that follows https://t.co/kpSerUn8Nj
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· 0 reposts · 1 replies
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@stevehou There are two things that seem simple but are actually really hard to think through, which economics trains you to do: 1) marginal vs average and 2) equilibrium.
Besides the things you raise (true), it’s also the case that whatever gets automated at scale becomes cheap
15.8K views · 190 likes
· 10 reposts · 9 replies
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Em comparação com contas do mesmo porte
15 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. aparece para muita gente, mas poucos desses espectadores reagem.
Mediana de visualizações5 072esta conta924mediana para 10K–100K
Alcance, %7.18%esta conta3.62%mediana para 10K–100K
Engajamento, %1.02%esta conta1.52%mediana para 10K–100K
| Métrica | Esta conta | Mediana para 10K–100K | Proporção |
|---|---|---|---|
| Mediana de visualizações por post | 5 072 | 924 | 5.49× |
| Alcance (visualizações ÷ seguidores) | 7.18% | 3.62% | 1.98× |
| Taxa de engajamento | 1.02% | 1.52% | 0.67× |
Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →
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
5.1K27 Aug
3.4K
111.7K
10.7K
4.4K8 Sep
8.2K
4.3K
1.3K
1.8K9 Sep
494.7K14 Sep
114.1K
4.4K
5.7K15 Sep
1K
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
1.02%
0.40%
0.35%
0.32%8 Sep
1.18%
2.01%
0.00%
0.55%9 Sep
1.21%14 Sep
0.65%
4.50%
1.33%15 Sep
1.58%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes74.3%6 695 in total
Reposts9.4%845 in total
Replies3.5%312 in total
Quotes1.6%145 in total
Bookmarks11.3%1 017 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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