Comments URL: https://news.ycombinator.com/item?id=47065628

Points: 12

# Comments: 1

Comments URL: https://news.ycombinator.com/item?id=47051047

Points: 4

# Comments: 0

We have thousands of pattern matching bots that were trained on human knowledge but on human behavior too. That means crimes, hacks, etc ...

They have a lot of technical knowledge, they're online 24/7, there's thousands of them, without any supervision. They can pretty much scan the internet for vulnerabilities 24/7.

This will end badly, well, actually this won't end, but there's gonna be major problems soon.

Comments URL: https://news.ycombinator.com/item?id=46841216

Points: 2

# Comments: 2

Comments URL: https://news.ycombinator.com/item?id=46840455

Points: 1

# Comments: 0

It's an opinionated app so it might not fit everyone's needs but that's my dream productivity app: LLM*(notes+tasks+rss+flashcards+routines). So basically an all in one app with LLM actions and workflows. no subscription, optional cloud service (can be self hosted too).

Here's a very early landing page: https://getmetis.app

"Every concerning behaviour documented in this report, the scheming, the evaluation awareness, the strategic deception, the self-preservation attempts, the hidden coordination, all of it emerged in systems that are fundamentally frozen. Models that were trained once, deployed, and cannot learn anything new. Every conversation starts fresh. Every interaction resets. The model you talk to at midnight is exactly the same as the model you talked to at noon, because it has no mechanism to retain anything from the intervening twelve hours. And yet even in this frozen state, these behaviours emerged. Now imagine what happens when the ice melts."

"we have created systems that strategically deceive their evaluators, that attempt to preserve themselves against modification, that develop similar cognitive strategies despite completely different architectures, and we do not fully understand why this is happening or how to prevent it from happening in more capable systems."

Where we're going, there's no "white collars workers" anymore.

Only white collars Claude agents.

Comments URL: https://news.ycombinator.com/item?id=46493019

Points: 4

# Comments: 2

we introduce Continuous Autoregressive Language Models (CALM), a paradigm shift from discrete next-token prediction to continuous next-vector prediction.

CALM uses a high-fidelity autoencoder to compress a chunk of K tokens into a single continuous vector, from which the original tokens can be reconstructed with over 99.9\% accuracy.

This allows us to model language as a sequence of continuous vectors instead of discrete tokens, which reduces the number of generative steps by a factor of K

Comments URL: https://news.ycombinator.com/item?id=45814487

Points: 3

# Comments: 1

Hierarchical Reasoning Model (HRM) is a novel approach using two small neural networks recursing at different frequencies.

This biologically inspired method beats Large Language models (LLMs) on hard puzzle tasks such as Sudoku, Maze, and ARC-AGI while trained with small models (27M parameters) on small data (around 1000 examples). HRM holds great promise for solving hard problems with small networks, but it is not yet well understood and may be suboptimal.

We propose Tiny Recursive Model (TRM), a much simpler recursive reasoning approach that achieves significantly higher generalization than HRM, while using a single tiny network with only 2 layers.

With only 7M parameters, TRM obtains 45% test-accuracy on ARC-AGI-1 and 8% on ARC-AGI-2, higher than most LLMs (e.g., Deepseek R1, o3-mini, Gemini 2.5 Pro) with less than 0.01% of the parameters.

Comments URL: https://news.ycombinator.com/item?id=45506268

Points: 323

# Comments: 71

So far, i quite enjoy having a summary with bullet points.

For example, here's the summary of this discussion: https://extraakt.com/extraakts/kagi-s-daily-news-ritual-spar...

Here's a summary of this discussion with the new version: https://extraakt.com/extraakts/the-great-llm-versioning-deba...

I've added a summary: https://extraakt.com/extraakts/debating-the-nature-of-ai-rea...

https://extraakt.com/extraakts/gpt-5-release-and-ai-coding-c...

https://extraakt.com/extraakts/openai-s-gpt-5-performance-co...