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The Brand Savior Complex and the New Age of Self Censorship

https://thesocialjuice.substack.com/p/the-brand-savior-complex-and-the
1•jaskaransainiz•18s ago•0 comments

Show HN: A Prompting Framework for Non-Vibe-Coders

https://github.com/No3371/projex
1•3371•55s ago•0 comments

Kilroy is a local-first "software factory" CLI

https://github.com/danshapiro/kilroy
1•ukuina•10m ago•0 comments

Mathscapes – Jan 2026 [pdf]

https://momath.org/wp-content/uploads/2026/02/1.-Mathscapes-January-2026-with-Solution.pdf
1•vismit2000•13m ago•0 comments

80386 Barrel Shifter

https://nand2mario.github.io/posts/2026/80386_barrel_shifter/
1•jamesbowman•13m ago•0 comments

Training Foundation Models Directly on Human Brain Data

https://arxiv.org/abs/2601.12053
1•helloplanets•14m ago•0 comments

Web Speech API on HN Threads

https://toulas.ch/projects/hn-readaloud/
1•etoulas•16m ago•0 comments

ArtisanForge: Learn Laravel through a gamified RPG adventure – 100% free

https://artisanforge.online/
1•grazulex•17m ago•1 comments

Your phone edits all your photos with AI – is it changing your view of reality?

https://www.bbc.com/future/article/20260203-the-ai-that-quietly-edits-all-of-your-photos
1•breve•18m ago•0 comments

DStack, a small Bash tool for managing Docker Compose projects

https://github.com/KyanJeuring/dstack
1•kppjeuring•18m ago•1 comments

Hop – Fast SSH connection manager with TUI dashboard

https://github.com/danmartuszewski/hop
1•danmartuszewski•19m ago•1 comments

Turning books to courses using AI

https://www.book2course.org/
2•syukursyakir•21m ago•0 comments

Top #1 AI Video Agent: Free All in One AI Video and Image Agent by Vidzoo AI

https://vidzoo.ai
1•Evan233•21m ago•1 comments

Ask HN: How would you design an LLM-unfriendly language?

1•sph•23m ago•0 comments

Show HN: MuxPod – A mobile tmux client for monitoring AI agents on the go

https://github.com/moezakura/mux-pod
1•moezakura•23m ago•0 comments

March for Billionaires

https://marchforbillionaires.org/
1•gscott•23m ago•0 comments

Turn Claude Code/OpenClaw into Your Local Lovart – AI Design MCP Server

https://github.com/jau123/MeiGen-Art
1•jaujaujau•24m ago•0 comments

An Nginx Engineer Took over AI's Benchmark Tool

https://github.com/hongzhidao/jsbench/tree/main/docs
1•zhidao9•26m ago•0 comments

Use fn-keys as fn-keys for chosen apps in OS X

https://www.balanci.ng/tools/karabiner-function-key-generator.html
1•thelollies•27m ago•1 comments

Sir/SIEN: A communication protocol for production outages

https://getsimul.com/blog/communicate-outage-to-ceo
1•pingananth•28m ago•1 comments

Show HN: OpenCode for Meetings

https://getscripta.app
2•whitemyrat•29m ago•1 comments

The chaos in the US is affecting open source software and its developers

https://www.osnews.com/story/144348/the-chaos-in-the-us-is-affecting-open-source-software-and-its...
1•pjmlp•30m ago•0 comments

The world heard JD Vance being booed at the Olympics. Except for viewers in USA

https://www.theguardian.com/sport/2026/feb/07/jd-vance-boos-winter-olympics
65•treetalker•32m ago•14 comments

The original vi is a product of its time (and its time has passed)

https://utcc.utoronto.ca/~cks/space/blog/unix/ViIsAProductOfItsTime
1•ingve•39m ago•0 comments

Circumstantial Complexity, LLMs and Large Scale Architecture

https://www.datagubbe.se/aiarch/
1•ingve•46m ago•0 comments

Tech Bro Saga: big tech critique essay series

1•dikobraz•49m ago•0 comments

Show HN: A calculus course with an AI tutor watching the lectures with you

https://calculus.academa.ai/
1•apoogdk•53m ago•0 comments

Show HN: 83K lines of C++ – cryptocurrency written from scratch, not a fork

https://github.com/Kristian5013/flow-protocol
1•kristianXXI•58m ago•0 comments

Show HN: SAA – A minimal shell-as-chat agent using only Bash

https://github.com/moravy-mochi/saa
1•mrvmochi•58m ago•0 comments

Mario Tchou

https://en.wikipedia.org/wiki/Mario_Tchou
1•simonebrunozzi•59m ago•0 comments
Open in hackernews

To Make Language Models Work Better, Researchers Sidestep Language

https://www.quantamagazine.org/to-make-language-models-work-better-researchers-sidestep-language-20250414/
25•jxmorris12•9mo ago

Comments

kelseyfrog•9mo ago
I wonder why they go with recurrent rather than something like latent flow-matching?
scotty79•9mo ago
The idea is that cleverness of intellect isn't anything mysterious. Humans do astounding feats just by applying relatively simple reasoning iteratively. Requiring artificial neural networks to do it all one-shot, from the top of the head is probably the reason why they require billions of parameters to show even a small bit of cleverness. Chain of thought is obvious solution. But in converting internal reasoning to output tokens some information is lost. Chain of thought in latent space is the natural next step. Thus recurrent networks.

I'm not familiar with flow matching, but I don't think it has any iterative processing in a sense of chain of thought or recurrence (despite arriving at the solution gradually).

kelseyfrog•9mo ago
Flow matching is iterative in the sense that it predicts a dv(t)/dt at each step as it integrates toward x_0.
scotty79•9mo ago
It's iterative in a sense of solving differential equation iteratively. While recurrent networks are iterative in sense of putting a for loop around a bunch of if-s.
kelseyfrog•9mo ago
It's also in the sense that initial latent vector is Gaussian noise. The transformer loop is de-noising latent space. They just happen to be doing the equivalent of predicting x_0 directly.
K0balt•9mo ago
This is really promising research. Still, it is worth looking closely at how models that aren’t re-aligned with the training data with each iteration deal with spicy edge cases where ethical alignment is important.

I have yet to find a model (except where “dumb” external filters kick in) that won’t come to the conclusion that extermination of humanity might actually be the best solution for certain types of extreme, contrived situations. To be fair, any reasonable human would likely reach the same conclusion given the parameters… but the point is alignment towards human prosperity regardless of the cost to artificial sentience or the improbability of success.

That said, it’s remarkably difficult to get a well aligned model, even after “uncensoring” or other efforts to remove bolt-on alignment, to follow you down a dark path without offering up more reasonable, benevolent alternatives all the way down. I attribute this to the “halo effect” where much of the writing that humans do on the internet displays their best traits, since few want to be known by their worst nature. The other stuff is easily filtered out of the training data because it’s usually laced with easily identified characteristics and keywords.

Latent-space reasoning might circumvent this cyclical realignment to the training data and find more innovative, “pragmatic”solutions that drift farther outside of the intrinsic alignment of the training corpus, relying more on “bolt on” alignment training and algorithmic censorship wrappers.

This might be fantastically useful in terms of innovative thinking, but also might result in problematic behavior, especially for VLA and other Large Behavior Models. OTOH it might be critical for making robots that can effectively function in security and protection roles, or as soldiers. And that’s what we want, right? I mean what could possibly go wrong with armed sentient robots lol.

To continue my ramble, because, well, why not, I’m on a roll… I think a lot of the arguments about “is AI sentient(1)” etc will wither when we start getting used to LBMs operating in a continuous OODA loop. The biggest hurdle to AI feeling “real” is the lack of a continuous chain of thought which provides “presence of mind”, but that comes naturally with embodiment in physical space.

It’s going to be an interesting century, kids. Hold on.

(1) here I mean functionally, as in exhibiting the external characteristics of. I am not exploring the metaphysical/ philosophical / spiritual facets of sentience. That will be up to the new form of mind to decide for itself, if it cares to ponder the question. Imposing external views on that has exactly zero positive benefits and could have many negative outcomes.