Diogo Almeida ✓

@CompleteSkeptic

Sane + 🌶️ takes in an insane AI world... AI capabilities researcher: co-created RLHF/ChatGPT @ @openai now trying to right the wrong 🤭 (ceo @typesafeai)

115 770Followers

95Following

467Posts total

41MViews on collected posts

Posts recentes

Diogo Almeida ✓@CompleteSkeptic15 Sep

@CompleteSkeptic how do we get this in opencode 15.8K views · 624 likes · 2 reposts · 7 replies Open on X →

Diogo Almeida ✓@CompleteSkeptic15 Sep

@CompleteSkeptic Okay, this is gonna sound incredibly dumb, but I have to ask. If it cannot create text, what's with the text that I'm looking at on the left-hand side of the screen.... 6.7K views · 69 likes · 0 reposts · 8 replies Open on X →

Diogo Almeida ✓@CompleteSkeptic15 Sep

@CompleteSkeptic hello world 284.6K views · 2.4K likes · 26 reposts · 70 replies Open on X →

Diogo Almeida ✓@CompleteSkeptic15 Sep

Extraordinary claims require extraordinary evidence so check out our release blog for more technical info: https://t.co/Q2q2PnTbnx Join our waitlist for early access: https://t.co/BgtoeIbiV2 Have technical chats and meme with us on Discord (rumors are good memers skip the 607.7K views · 3.7K likes · 187 reposts · 158 replies Open on X →

Diogo Almeida ✓@CompleteSkeptic15 Sep

We love how this doomo doomonstrates real-time intelligence and what can be doone with code + AI! ~10 calls/sec = ~$7/hour https://t.co/nlffKxGzCB

2:42

1.2M views · 4.8K likes · 234 reposts · 92 replies Open on X →

Diogo Almeida ✓@CompleteSkeptic15 Sep

Game: race from one Wikipedia page to another using only links Challenge: choosing between hundreds to thousands of links Shows not just intelligence-per-second, but also the compounding benefits of not hallucinating with high-cardinality choices https://t.co/QfMKWhOlVB

4:03

603.9K views · 2.5K likes · 67 reposts · 25 replies Open on X →

Diogo Almeida ✓@CompleteSkeptic15 Sep

The gains aren’t free: Jev can't generate text Comparing Jev vs LLMs side-by-side makes the trade-off clear Fun fact: replacing sequential computation with parallel is the same way Transformers leapfrogged RNNs https://t.co/ockGnenCPP

0:14

2M views · 5.8K likes · 141 reposts · 70 replies Open on X →

Diogo Almeida ✓@CompleteSkeptic15 Sep

We believe that the future is code + AI, so made workflow evals to reflect that Jev costs: $42 / BILLION input tokens ($0.042 / MTok) and output tokens are free (forever - they’re too cheap to meter with our new architecture) Jev is named after Jevons paradox and off the https:

760.7K views · 3.5K likes · 144 reposts · 40 replies Open on X →

Diogo Almeida ✓@CompleteSkeptic15 Sep

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x ht

2:56

35.5M views · 70.3K likes · 7.5K reposts · 3.7K replies Open on X →

Em comparação com contas do mesmo porte

9 posts dos últimos 90 dias, ao lado da faixa de 100K–1M seguidores. aparece para muita gente, mas poucos desses espectadores reagem.

Mediana de visualizações607 743esta conta6 075mediana para 100K–1M

Alcance, %524.96%esta conta1.58%mediana para 100K–1M

Engajamento, %0.50%esta conta1.00%mediana para 100K–1M

Métrica	Esta conta	Mediana para 100K–1M	Proporção
Mediana de visualizações por post	607 743	6 075	100×
Alcance (visualizações ÷ seguidores)	5.2× audience	1.58%	332×
Taxa de engajamento	0.50%	1.00%	0.50×

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

35.5M15 Sep

760.7K

603.9K

1.2M

607.7K

284.6K

6.7K

15.8K

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.25%15 Sep

0.50%

0.31%

0.44%

0.43%

0.68%

0.87%

1.16%

4.03%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.00%.

What the audience does

Likes53.3%93 784 in total

Reposts4.7%8 344 in total

Replies2.4%4 182 in total

Quotes3.8%6 616 in total

Bookmarks35.9%63 125 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

Followers by day

16 Sep19 Sep

Daily snapshots since 16 Sep 2026; the dashed line is the starting count.

Posts recentes

Em comparação com contas do mesmo porte

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Followers by day

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