Santiago ✓
@svpino · 🇺🇸 Collaborations → · joined 07 Jan 2009
Computer scientist. I teach hard-core AI/ML Engineering at https://t.co/THCAAZcBMu. YouTube: https://t.co/pROi08OZYJ
456 093Followers
600Following
50 748Posts total
6.7MViews on collected posts
Posts recentes
Procurando novos posts…
@svpino The mark-to-fix capability alone saves hours of re-rendering. Iteration speed in video production has officially caught up with software development. Huge timesaver.
1.5K views · 5 likes
· 2 reposts · 1 replies
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Here is the link to the full video: https://t.co/WVbjHXnIKS
Thanks to the @Pexoai_offical team for partnering with me on this post.
8.6K views · 65 likes
· 4 reposts · 1 replies
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Creating marketing videos is a solved problem.
Honestly, I can't imagine another creative area where we save so much time and money.
Generating something like this used to cost thousands of dollars and take weeks.
Now, it's cents and minutes.
Best part of this: their https://
783.2K views · 549 likes
· 217 reposts · 142 replies
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5:54
In the not-too-distant future, you will not need to write or read code in order to become a software engineer.
10.5K views · 103 likes
· 8 reposts · 45 replies
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Cline was the second most popular coding agent at a friend's company (after Claude Code).
The company has contracts with the Pentagon, so they had to drop Claude Code and move everything to Codex. They wanted to standardize everyone and migrate Cline users as well.
They
15.4K views · 48 likes
· 3 reposts · 14 replies
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In a blind test, people selected videos generated using Visko Orbis 1.0 as the best.
This was the best model at generating scenes that make sense as the video plays: People, objects, and everything around them remain consistent.
This is still a big struggle with current video h
43.2K views · 230 likes
· 28 reposts · 18 replies
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Our evaluation results for Orbis 1.0:
Across automated benchmarks, Orbis scores highest on DOVER aesthetic and technical quality, and on VideoAlign visual and motion quality. It also leads three physical-plausibility protocols: VideoPhy-2, Physics-IQ, and VBench-2.0 Physics.
In
219.3K views · 392 likes
· 67 reposts · 33 replies
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Many such cases. I know one who did this as well: get on with AI or get out.
17K views · 50 likes
· 0 reposts · 9 replies
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@cosmiclibe57707 @svpino We have a new CTO. Said no handwritten code in 60 days. Anyone non compliant is out.
17.8K views · 9 likes
· 0 reposts · 2 replies
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Many people have no idea what's happening.
They can't conceive that developers out there are deploying AI-generated code, because in their bubble, everyone is still writing Java code and running Scrum retrospectives.
One sunny afternoon, their CTO will meet a modern developer h
16.2K views · 196 likes
· 10 reposts · 51 replies
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I hope every open model provider out there takes a page from these guys and starts opening up their training code, evals, logs, and weights.
Open-weight models are awesome.
Open-source models are even better.
13K views · 36 likes
· 8 reposts · 15 replies
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This is a cool benchmark that uses video games to test agents.
Basically, they speedrun the game to test how well agents can plan, act, learn from previous attempts, and optimize a long sequence of decisions.
The goal is to evaluate agents' capability through an
13.2K views · 52 likes
· 7 reposts · 4 replies
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@svpino we'll see https://t.co/7R77RYZx3r
64.2K views · 397 likes
· 8 reposts · 11 replies
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@svpino “Once men turned their thinking over to machines in the hope that this would set them free. But that only permitted other men with machines to enslave them.” Dune.
2.5K views · 66 likes
· 8 reposts · 1 replies
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AI will not replace you. A person using AI will.
5.4M views · 42.1K likes
· 6.8K reposts · 1K replies
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Em comparação com contas do mesmo porte
13 posts dos últimos 90 dias, ao lado da faixa de 100K–1M seguidores. aparece para muita gente, mas poucos desses espectadores reagem.
Mediana de visualizações15 382esta conta5 983mediana para 100K–1M
Alcance, %3.37%esta conta1.49%mediana para 100K–1M
Engajamento, %0.48%esta conta0.93%mediana para 100K–1M
| Métrica | Esta conta | Mediana para 100K–1M | Proporção |
|---|---|---|---|
| Mediana de visualizações por post | 15 382 | 5 983 | 2.57× |
| Alcance (visualizações ÷ seguidores) | 3.37% | 1.49% | 2.26× |
| Taxa de engajamento | 0.48% | 0.93% | 0.51× |
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
64.2K5 Jan
13.2K3 Sep
12.6K
13K
16.2K4 Sep
17.8K
17K
219.3K
43.2K
15.4K
10.5K5 Sep
783.2K24 Sep
8.6K
1.5K
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
0.65%5 Jan
0.48%3 Sep
0.74%
0.46%
1.62%4 Sep
0.07%
0.35%
0.23%
0.64%
0.44%
1.49%5 Sep
0.14%24 Sep
0.82%
0.55%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes77.2%44 446 in total
Reposts12.5%7 199 in total
Replies2.4%1 368 in total
Quotes1.9%1 111 in total
Bookmarks6.0%3 435 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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