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Alvaro Cintas ✓

@dr_cintas · Join +40k readers → · joined 27 Jul 2019

Educating about AI, Cybersecurity and Technology | Professor | PhD in Computer Science & Engineering

132 086Followers
188Following
14 878Posts total
2.2MViews on collected posts

Latest posts

This is my current workflow after Fable 5.1 dropped. Wired through the fable-advisor plugin for Claude Code: 1. Fable 5.1 orchestrates 2. GPT-5.6 Luna implements 3. Fable 5.1 reviews The prompt I run: "You are the orchestrator. Plan this task, then delegate implementation to 56.4K views · 249 likes · 28 reposts · 22 replies Open on X →
This pace in AI is WILD…in 48h we got: - GPT-6 Astra - Claude Fable 5.1 - Meta Muse Spark 1.3 - Gemini 3.8 Flash - Muse Voice Transcribe It just keeps accelerating, what an exciting time! 4.2K views · 30 likes · 2 reposts · 3 replies Open on X →
Martian just launched AI Frontier, and the main finding…there’s no single best LLM. Different models win on different tasks. The dashboard maps quality, measured cost, and reliability so you can see where each one does best, and where combining two beats either alone. 4.3K views · 12 likes · 0 reposts · 4 replies Open on X →
the distinction Eric's drawing here is what most "open source" releases skip open weights give you the model, not the process... you can run it, but you can't rebuild it K2 Horizon opens all of it: training code, data recipes, checkpoints, 0.9B to 375B 4.2K views · 15 likes · 1 reposts · 3 replies Open on X →
When you consider a house, do you just want to be a pay-to-stay tenant like in a hotel, or buy it but without blueprint and document, or own the house alone with all its wiring, plumbing, design and construction details? What if this house is AI ? Today’s release marks the 226.3K views · 70 likes · 13 reposts · 14 replies Open on X →
https://t.co/5T3iSBSWVm 262.6K views · 102 likes · 7 reposts · 4 replies Open on X →
@dr_cintas More videos of such Thank you 552 views · 2 likes · 0 reposts · 1 replies Open on X →
@dr_cintas Great walkthrough — Claude's desktop agent is genuinely one of the most usable right now. The Drive + Gmail integration at 7:04 is where most people unlock real productivity. For builders who want similar automation but 100% local and private, the open-source stack is 377 views · 3 likes · 0 reposts · 0 replies Open on X →
@dr_cintas Bookmarked for later, thank you. 203 views · 2 likes · 0 reposts · 0 replies Open on X →
Claude Cowork complete crash course from zero to expert in 12 minutes. Installation, automations, connectors, plugins..all of it: 00:00 Intro 01:00 Installation & setup 02:08 Your first task 03:01 Global instructions (most skip this) 04:00 What Cowork can actually access 05:15 674.5K views · 3.1K likes · 385 reposts · 30 replies Open on X →
@dr_cintas best Cowork walkthrough I've read. the Global Instructions section is where it actually clicks. one thing I'd add: once you internalize the loop, the bottleneck shifts to your own clarity. Claude can only plan as well as you can describe the outcome. the cleaner your 1.4K views · 1 likes · 0 reposts · 1 replies Open on X →
@dr_cintas 🔥🔥 1.1K views · 3 likes · 0 reposts · 1 replies Open on X →
@dr_cintas saved for myself https://t.co/JQOAG83C0y 1.5K views · 1 likes · 0 reposts · 1 replies Open on X →
https://t.co/FOJqy2fpOW 923.9K views · 703 likes · 87 reposts · 11 replies Open on X →

Against accounts of the same size

6 posts from the last 90 days, next to the 100K–1M follower range. shown widely, but few of those viewers react.

Median views30 326this account5 983median for 100K–1M
Reach, %22.96%this account1.49%median for 100K–1M
Engagement, %0.41%this account0.93%median for 100K–1M
MetricThis accountMedian for 100K–1MRatio
Median views per post30 3265 9835.07×
Reach (views ÷ followers)22.96%1.49%15.4×
Engagement rate0.41%0.93%0.44×

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

923.9K25 Mar
1.5K
1.1K
1.4K26 Mar
674.5K
203
377
55227 Mar
262.6K2 Sep
226.3K3 Sep
4.2K
4.3K
4.2K
56.4K4 Sep

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

0.09%25 Mar
0.14%
0.35%
0.14%26 Mar
0.52%
0.99%
0.80%
0.54%27 Mar
0.04%2 Sep
0.05%3 Sep
0.45%
0.37%
0.83%
0.54%4 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes26.9%4 244 in total
Reposts3.3%523 in total
Replies0.6%95 in total
Quotes0.3%40 in total
Bookmarks68.9%10 850 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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