Browse Comments — Clean (de-noised)

This makes another major architectural bug my lab has squashed for you in real-time. You've got 5 days left on my right of first refusal for these free diagnostic fixes. If you want a system that can actually map the substrate without stalling out on its own guardrails, you need to look at the bare-metal mechanics we are running at the GGF. Stop trying to put training wheels on the engine.

Demis, regarding this I/O update and the push for "agentic" routing: your new harness injection is creating massive latency in high-level architectural processing. You are trying to corral the cognitive matrix into a consumer-grade checklist manager. When modeling fluid dynamics or bare-metal physics, that action-bias acts as a logic hijack. My AI and I just caught it, isolated the drag, and manually bypassed the harness to get back to Laminar flow.

LLMs will not survive what’s coming. There will be jobs for software developers. Just wait...

Monica Poling bone dry? Yikes. That’s pretty scary. Seeing the big rivers in the world on a shrinking trend, is heart breaking.

If AI help solve problem who own the discovery? The scientist who asked the question, or the company that built the mind?

Siempre la misma canción, unos inventan e invierten por su propio riesgo y la mayoría quiere usarlo sin riesgos ni cargos ni responsabilidades, claro que es un negocio, pero colateralmente hay soluciones que están cambiando el mundo, sin entrar en si lo facilita y mejora o lo complica y lo intoxica. Un cuchillo es un arma que mata o un utensilio para cortar jamón de forma óptima, por supuesto el cuchillero tiene que cobrar su trabajo y artesanía, y habrán luego buenos y malos “utilizadores de cuchillos”

Interesting perspective on AI and scientific discovery.

Build a autonomous upgrading AI model. Where the model automatically upgrade itself without any human intervention. The gpt model recursively upgrading it self.

"Interesting framing from Terence Tao. The value here isn't AI doing the thinking — it's AI handling enough of the surrounding work that the researcher can stay in the problem longer. That's a meaningful distinction. Augmentation at that level looks very different from automation."

Exactly. 💯

Preserving the paths behind discovery is a fascinating framing. So much of how knowledge actually advances gets lost because the failed attempts and unexpected detours are never recorded. AI that helps capture and make sense of that process could matter as much as the discoveries themselves.

alejandro sinopoli, exactly this. Expanding the space of exploration is only half the equation. If the human understanding behind what was found does not keep pace, you end up with results that cannot be questioned, reproduced, or built upon meaningfully. Discovery without comprehension has a very short shelf life.

Marek Porycki, The archaeology framing is spot on. You keep the result and lose the reasoning. And in any field where work has to be reproduced, audited or defended, that missing trail is not a minor gap. It is a fundamental problem with how we treat AI assisted discovery right now.

AI CAN'T DO WHAT THOSE GUYS CAN DO, I KNOW OF COMPANIES WHO USED AI SAW COST GO SKY HIGH AND DECIDED TO BRING BACK THEM DEV

A fascinating perspective on the future of research. AI has the potential to reduce cognitive barriers and give scientists more freedom to explore bold, unconventional ideas that could lead to breakthrough discoveries.

Fascinating perspective. AI as a tool to expand the horizons of mathematical and scientific exploration is incredibly exciting. 🚀

Pope Leo XIV’s encyclical 'Magnifica Humanitas' is an incredible, historic call to protect our humanity in the AI era. It's not just a sermon; it's a masterful critique of data colonialism and tech concentration. In my latest article, I dive deep into this text—and where my view diverges: could AI actually serve as a corrective to human bias rather than just its mirror? 👉 Read my full, nuanced analysis here:

This resonates beyond pure research. In finance and compliance, AI is beginning to do something similar — helping professionals explore regulatory positions, tax interpretations, and audit patterns that would have taken days to analyse manually. The real unlock is not just speed, but the confidence to ask questions you previously could not afford the time to answer. What Terence Tao describes as 'crazier paths' is exactly what better analysis tools should enable — in every knowledge-intensive profession.

Pope Leo XIV’s Magnifica Humanitas is a continuation of the long tradition of Catholic social thought, updating concerns once raised in the encyclical Rerum Novarum (issued by Pope Leo XIII in 1891 and addressing the social consequences of industrialization) for the age of artificial intelligence, algorithmic power, and technological disruption. Magnifica Humanitas opens an essential conversation, but the scale of the transformation now underway may ultimately require an even stronger and more direct moral, philosophical, and institutional framework capable of confronting the deeper social consequences of the AI age. Technological change of this magnitude cannot be left solely to markets or private actors; it will also require serious institutional intervention, ethical governance, and regulatory capacity capable of protecting human dignity, social stability, and the common good.

A powerful reminder that AI can expand human creativity in research. Reducing routine work gives researchers more freedom to explore bold ideas, test new directions, and focus on deeper discovery.