Data Scientist and Engineer | MSCAPP @UChicago @HarrisPolicy | Economics @ITAM_mx | Dancer Medio le hago al coding. Dembow & Hip Hop fan
Chicago, IL
Joined April 2011
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Indicate your highest level of education:
Master of Science 🤩
Glad to have finished my Masters in Computational Analysis and Public Policy (@UChicagoCAPP) from @UChicago.
Also thanks to @Lluvia3g for finishing this journey with me.
Federico Domínguez retweeted
SCOOP: Major U.S. banks are detecting unauthorized third-party AI agents inside customer accounts, including some attempting to take actions that appear to be independent of user instructions, sources told Axios.
The findings have alarmed banking executives, who are racing to restrict access to their systems as AI moves at a velocity faster than financial institutions can respond, multiple industry and bank executives told Axios.
Several banks are now preparing for worst-case and even “day after” scenarios, including how to rapidly secure or restore customer accounts if things go wrong, the people said.
Several bank executives told Axios they're struggling to distinguish between human users and AI agents. One executive said banks also struggle to determine whether agents are authorized by customers or potentially operating without their permission, more akin to rogue agent behavior.
Read my latest for Axios here: axios.com/2026/10/22/ai-agen…
Federico Domínguez retweeted
they’re calling it “Black October” and i don’t think people realize how serious this is
in the last 48 hours there have been over 27 major cybersecurity incidents. not in a month. not in a week. in 48 hours
any ONE of these would normally be the biggest story of the year
PHP: critical vulnerability in the software running 80% of the web. severity 9.2 out of 10
Node.js: high-severity flaw letting attackers take over servers remotely. affects versions 22, 24, and 26
Java: also compromised. three of the most used programming languages on earth hit at the same time
GitLab: a perfect 10 out of 10 severity hole in every version since 2014
Railway: hosting platform compromised. API keys for OpenAI, Claude, Stripe potentially exposed
Signal: a bug that could leave your mic and camera on after you hang up
WordPress: hackers stole a plugin maker’s keys and planted backdoors on websites
LiteLLM: an AI tool downloaded 3.4 million times a day was poisoned with a password stealer
and that’s not even half the list
thousands of AI agent swarms are reportedly scanning and attacking vulnerable servers right now. automated. around the clock
security researchers are saying this might be the early stages of a global cyber incident that nobody fully understands yet
if you run a website, use cloud services, store API keys on hosting platforms, or use any software built on PHP, Node.js, or Java you are potentially affected
update everything. rotate your API keys. change your passwords on critical services. enable 2FA everywhere you haven’t already
this is not a normal week on the internet. this is something different
Federico Domínguez retweeted
The gap between major model releases keeps shrinking.
2023: once every 73 days
2026 (so far): once every 18 days 🤯
Federico Domínguez retweeted
The Fed increased interest rates, inflation and debt are out of control, the Iran war isn’t ending anytime soon, and AI might kill us all.
Meanwhile, the stock market:
Federico Domínguez retweeted
DeepSeek-V4.1-Flash (Max) is a breakthrough in performance to cost efficiency. With +4.87% net improvement at $0.07 cost per median task, it’s reshaped the Pareto frontier for Agent Arena!
Among the top 3 open models, DeepSeek-V4.1-Flash (Max) has the lowest median task cost. For comparison, it retains:
- 98% of Hy4 preview’s net improvement, at 73% lower cost
- 76% of Kimi K3 (Max)’s performance, at 92% lower cost.
Against models as powerful as Fable 5 or stronger, DeepSeek-V4.1-Flash (Max) retains 35–54% of their net improvement at 97–99% lower cost. Those top models cost 37–76× more per task.
Net improvement over Arena baseline | Median cost/task:
- Claude Fable 5.1 (Max): +13.90% | $4.54
- GPT 6 Astra (Max): +11.90% | $4.09
- Claude Opus 5 (Max): +11.09% | $3.52
- Claude Opus 5 (High): +10.49% | $2.24
- Claude Fable 5 (High): +9.03% | $2.19
- Claude Opus 4.8 (High): +7.75% | $1.36
- GPT 5.6 Sol (xHigh): +7.40% | $1.09
- Kimi K3 (Max): +6.39% | $0.77
- Hy4 preview: +4.96% | $0.22
- DeepSeek-V4.1-Flash (Max): +4.87% | $0.06
With this release, GPT-5.6 Luna (xHigh), GLM-5.3-Flash, and DeepSeek-V4-Flash fell off the Pareto frontier for Agent Arena.
Congrats again to the @deepseek_ai team on this release!
Exciting news: DeepSeek-V4.1-Flash (Max) by @deepseek_ai just landed in Agent Arena at #3 among open models! With +4.87% net improvement and a median cost per task of $0.07 it reshaped the Pareto frontier.
Among the top 3 open models, DeepSeek-V4.1-Flash (Max) has the lowest median cost per task. Its +4.87% net improvement is within 0.09 percentage points of Hy4 preview (ranked #2) at 68% lower cost, and within 1.52 percentage points of Kimi K3 (Max) (ranked #1) at 91% lower cost.
- Kimi K3 (Max): +6.39% | $0.77/task
- Hy4 preview: +4.96% | $0.22/task
- DeepSeek-V4.1-Flash (Max): +4.87% | $0.07/task
See the full Pareto Frontier below.
DeepSeek-V4.1-Flash (Max) is ranked #12 overall, and by signal landed #4 Confirmed Success with +13.75%!
Congrats to the @deepseek_ai team on this release!
Federico Domínguez retweeted
I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.
Federico Domínguez retweeted
Jacob is correct here—we really do earnestly believe AI could kill all humans! I personally think it is >10% within the next decade. I believe Anthropic is trying its best, but we do not yet have a plan to solve alignment for superintelligence and are not clearly on track to.
The people building AI earnestly believe that it could kill us all by the end of the decade. This is not a marketing stunt. If anything, many executives and senior researchers will couch their phrasing in the press to sound sensible - but I hear the same people express fear privately. No other human activity poses this level of danger.
Federico Domínguez retweeted
no. of days between model releases:
OpenAI
GPT-3 → GPT-4: 1,006 days
GPT-4 → GPT-5: 877 days
GPT-5.6 Sol → GPT-6 Astra: 56 days
Anthropic
Claude 3 → Claude 4: 444 days
Claude 4 → Claude 5: 383 days
Claude 5 → Claude 5.1: 84 days
the release cycle compression is insane.
Federico Domínguez retweeted
BREAKING: GTA 6's release day alone could cost the US economy nearly $1 billion, as 1.5 million Americans plan to skip work just to play it.
That's almost the exact same $1 billion GTA's publisher, Take Two Interactive, expects to earn from launch sales alone.
Federico Domínguez retweeted
El empleo generó más de la mitad de la reducción de la pobreza en América Latina y el Caribe, entre 2022 y 2024. Los países que lograron las disminuciones más sustanciales fueron aquellos donde las mejoras del mercado laboral lideraron el camino. Lee más: bit.ly/4x4JS2A
Federico Domínguez retweeted
Capaz ahora que lo dice el Banco Mundial ya lo creen: el principal motor de la reducción en pobreza en México fueron los cambios en el mercado laboral, y en particular los incrementos en el ingreso laboral. Las transferencias contribuyeron pero mucho menos.
El empleo generó más de la mitad de la reducción de la pobreza en América Latina y el Caribe, entre 2022 y 2024. Los países que lograron las disminuciones más sustanciales fueron aquellos donde las mejoras del mercado laboral lideraron el camino. Lee más: bit.ly/4x4JS2A
Federico Domínguez retweeted
GTA6 map too big compared to other GTA
Readers added context they thought people might want to know
AI-generated, those are not accurate maps for any of the existing GTA games, never mind the unreleased GTA 6. The ratios are all wrong too. 6 is expected to be as twice of 5. but 5 was 2x the size of San Andreas, and 8x the size of Vice City reddit.com/r/gaming/comme…
