Edu Tuario

@edutuario.bsky.social

Cronopio cronopio y dibujitos

Today, Israel is killing children again, like they do every day. Along with racist apartheid laws to execute Palestinians only. Don't stop taking action. Do all you can. Free Palestine. 🇵🇸

I'm just amused that Davos is the new UN, and that world leaders give back-to-back speeches like it's General Assembly week. Almost like capital rules the world order or something

tldr quote: As demographers who study fertility, family behaviors and childbearing intentions, we can say with certainty that population decline is not imminent, inevitable or necessarily catastrophic. Love it! Practical, optimistic, hinting at actual problems and solutions (!)

Leslie Root@lesja.bsky.social · last yr.

I've been in an ongoing conversation with several other demographers about birth rate panic and what we can do about it. We've written this, with @karenguzzo.bsky.social and Shelley Clark. More to come! theconversation.com/fears-that-f...

Kimi K2, the new best open model in the world. In a few days the non-tech part of US/world is going to have another mini DeepSeek style existential crisis because of this model. I wrote about my expectations for how this release plays out and what it means for the future. buff.ly/LhJmcYo

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Interesting to see supposed climate change activist Leonardo DiCaprio at Bezos' vulgar wedding. Worth remembering stuff like that when we are expected to take celebrities and their causes seriously. It's only ever about optics.

Some time ago, I realized that our existential plight is that we have to take a stand and commit to the values that make life worth living; that one chooses to stand with similar people, and even if this stand is desperate, it’s still the path that freedom has to take, if it wants to be free.

That Crypto is a parasitic entity dependent on a functioning global finance system rather than a revolutionary framework for replacing it is going to occur to a lot of people after it is too late to bail out

3️⃣ Research publications – like the "Unsolved Problems in ML Safety" paper – establish the boundaries of what issues AI safety prioritizes as a field, and are a core avenue through which the field’s ideas have begun to take hold outside the AI safety epistemic community.

Screenshot of paper title, authors and abstract: 

Unsolved Problems in ML Safety

Dan Hendrycks, Nicholas Carlini, John Schulman, Jacob Steinhardt

Machine learning (ML) systems are rapidly increasing in size, are acquiring new capabilities, and are increasingly deployed in high-stakes settings. As with other powerful technologies, safety for ML should be a leading research priority. In response to emerging safety challenges in ML, such as those introduced by recent large-scale models, we provide a new roadmap for ML Safety and refine the technical problems that the field needs to address. We present four problems ready for research, namely withstanding hazards ("Robustness"), identifying hazards ("Monitoring"), reducing inherent model hazards ("Alignment"), and reducing systemic hazards ("Systemic Safety"). Throughout, we clarify each problem's motivation and provide concrete research directions.

Here’s the 2025 LLM roadmap 😊 1. Code and train your own LLM to really understand the fundamentals 2. Train models more conveniently using production-ready libraries 3. Learn about the big-picture considerations for real-world LLM/AI apps

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