DentroChat

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Europe's Best AI Chat. The only AI Chat that runs on 100% EU infrastructure, from Hosting and AI to payment processing. No US Sub-processors. On Par with ChatGPT and Claude. https://dentro.chat

We can recommend this listicle. Interesting: out of 10 areas, 7 use LLMs, and 8 use transformer models. So even 9 years after Google released "Attention is all you need", their transformer architecture is still the major innovation driver in AI.

Screenshot describing the 10 areas that matter in AI according to MIT Tech review:



Humanoid data — Videos of human movements being collected en masse to train humanoid robots

LLMs+ — There's still a lot of juice to squeeze out of large language models; the low-hanging fruit is gone but the technology isn't going anywhere

Supercharged scams — AI lowering barriers for scammers and hackers, making attacks faster, cheaper, and easier

World models — AI companies building systems that understand the external world to overcome LLM limitations and enter physical environments

Artificial scientists — Agents that can carry out research autonomously and work with scientists as genuine collaborators

Weaponized deepfakes — Improvements in generative AI enabling mass generation of nonconsensual imagery and propaganda use

Agent orchestration — Teams of AI agents cooperating to achieve complex goals (beyond single-agent browser/code tasks)

China's open-source bet — Chinese labs gaining global credibility by giving away frontier models for free

The new war room — Generative AI getting a seat at military strategy tables, reshaping intelligence sharing and lethal decision-making

Resistance — A growing worldwide backlash against unfettered AI development from activists, artists, labor unions, and politicians across the spectrum
MIT Technology Review@technologyreview.com · 6d ago

What is really worth your attention in the busy, buzzy world of AI? Our reporters and editors have spent years thinking about this question, charting AI’s progress and mapping out what’s next. Now, for the first time, we’ve distilled our answers into a single list.

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