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

455 475Followers

592Following

50 604Posts total

5.7MViews on collected posts

Against accounts of the same size

5 posts from the last 90 days, next to the 100K–1M follower range. ordinary reach for its size, weaker reaction than most.

Median views13 168this account5 994median for 100K–1M

Reach, %2.89%this account2.51%median for 100K–1M

Engagement, %0.48%this account1.40%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	13 168	5 994	2.20×
Reach (views ÷ followers)	2.89%	2.51%	1.15×
Engagement rate	0.48%	1.40%	0.34×

Others in this range → Compare with another account → How these benchmarks are built →

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

5.4M5 Jan

2.5K

4.4K

64.2K

111.8K3 Sep

13.2K

12.6K

13K

16.2K4 Sep

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

0.94%5 Jan

2.94%

1.41%

0.65%

0.11%3 Sep

0.48%

0.74%

0.46%

1.62%4 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.40%.

What the audience does

Likes79.1%43 080 in total

Reposts12.6%6 885 in total

Replies2.0%1 111 in total

Quotes1.7%914 in total

Bookmarks4.5%2 448 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.

Latest posts

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 04 Sep 2026 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 03 Sep 2026 🐐 https://t.co/jb1xkPOUOf 12.6K views · 77 likes · 0 reposts · 15 replies 03 Sep 2026 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 03 Sep 2026 Today, we’re releasing SpeedrunBench: the first benchmark that measures how fast agents can beat video games. We asked frontier models not to simply complete video games, but to speedrun them - across 10 titles like Mario Kart and Pokemon. On simpler games, agents get close to 111.8K views · 85 likes · 15 reposts · 8 replies 03 Sep 2026 @svpino we'll see https://t.co/7R77RYZx3r 64.2K views · 397 likes · 8 reposts · 11 replies 05 Jan 2023 @svpino https://t.co/s6LmoIHJ4T 4.4K views · 58 likes · 3 reposts · 1 replies 05 Jan 2023 @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 05 Jan 2023 AI will not replace you. A person using AI will. 5.4M views · 42.1K likes · 6.8K reposts · 1K replies 05 Jan 2023