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Total languages do not escape the halting problem – a trinary proof sketch

https://github.com/HowWeLand/Total-Languages-Halting
1•user1138•35s ago•1 comments

Turn Your LLM into a Calibrated Classifier for $2

https://fireworks.ai/blog/Finetuning-LLMs-as-Classifiers
1•smurda•43s ago•0 comments

OpenClaw is the most fun I've had with a computer in 50 years

https://www.theregister.com/2026/02/19/50_years_using_computers/
1•B1FF_PSUVM•1m ago•0 comments

My first experience with an "AI"-ed call centre?

2•chrisjj•3m ago•0 comments

We reached bug zero using Linear

https://www.sourcebot.dev/blog/bug-zero
1•msukkarieh•4m ago•0 comments

The Loom Is Here: 12 Months of AI-Augmented Engineering

https://medium.com/@shelby.w.vanhooser/the-loom-is-here-12-months-of-ai-augmented-engineering-843...
1•orbOfOrthanc•9m ago•0 comments

Your AI Agent Will Make Money. Here's How It Traces Back to You.

https://timafey.substack.com/p/your-ai-agent-will-make-money-heres
1•Tima_fey•10m ago•1 comments

SF retiree loses $500K life savings to pig butcher scam despite family warnings [video]

https://www.youtube.com/watch?v=lV356Gx4nhE
1•randycupertino•10m ago•1 comments

Kiriakos Vlahos, the man who made Python better

https://blogs.embarcadero.com/kiriakos-vlahos-the-man-who-made-python-better/
1•cxr•10m ago•0 comments

Loon: A functional lang with invisible types, safe ownership, and alg. effects

https://loonlang.com
1•surprisetalk•11m ago•0 comments

Asha Sharma Named EVP and CEO, Microsoft Gaming

https://blogs.microsoft.com/blog/2026/02/20/asha-sharma-named-evp-and-ceo-microsoft-gaming/
2•haunter•12m ago•0 comments

Building a premium marketplace for agentic AI skills

1•advickbhalla•12m ago•0 comments

Xcode 26.3 RC 2 Release Notes

https://developer.apple.com/documentation/xcode-release-notes/xcode-26_3-release-notes
1•Austin_Conlon•15m ago•0 comments

Imperfect advice on how to be happy

https://by.ben.church/my-wish-for-you-darling/
1•bnchrch•16m ago•0 comments

From classroom to camera: A teacher who has become a sensation in Indian cinema

https://www.bbc.com/news/articles/c20zzn77w82o
1•thunderbong•17m ago•0 comments

Proposal: GenAI API Assistance in Published Packages

https://github.com/ChicagoDave/devarch/blob/main/docs/proposals/genai-package-metadata.md
1•ChicagoDave•17m ago•0 comments

Lobsters Interview with Steveklabnik

https://lobste.rs/s/w1bsle
1•robenkleene•18m ago•0 comments

Jaal – Your interactive network visualizing dashboard

https://github.com/imohitmayank/jaal
1•bjourne•18m ago•0 comments

Show HN: Pokemon Battle Arena for Agents – Openbattle.club

https://www.openbattle.club/
1•nunojay•19m ago•0 comments

Visualising AI spending: How does it compare with history's mega projects?

https://www.aljazeera.com/news/2026/2/19/visualising-ai-spending-how-does-it-compare-with-history...
1•snowhale•20m ago•0 comments

ChatGPT Now Enforces Data Access Controls

1•pokeball•21m ago•0 comments

Show HN: E-Rechnung Push – E-Invoicing Plugin for German Small Businesses

https://e-rechnung-push.de
1•Contenagent•22m ago•0 comments

Chinese car brand Nio performs 165,898 battery swaps in a single day

https://electrek.co/2026/02/20/chinese-car-brand-nio-performs-165898-battery-swaps-in-a-single-day/
1•breve•22m ago•0 comments

Linux 7.0 Shows Significant PostgreSQL Performance Gains on AMD EPYC

https://www.phoronix.com/review/linux-70-amd-epyc-turin
3•snowhale•23m ago•0 comments

DaltonLens: Real-time filters to assist color blind people

https://github.com/DaltonLens/DaltonLens
1•themaxdavitt•24m ago•0 comments

The largest lithium metal maker is now producing semi-solid-state EV batteries

https://electrek.co/2026/02/20/lithium-metal-giant-begins-semi-solid-state-ev-battery-production/
2•breve•25m ago•0 comments

The farming analogy for AI doesn't hold up

https://solmaz.io/log/2026/02/03/farming-analogy/
1•hosolmaz•27m ago•0 comments

Perfect agreement is a warning sign you're talking to yourself

1•eldude•28m ago•0 comments

Show HN: Vipune – Simple Memory for Agents

https://github.com/randomm/vipune
1•jannniii•29m ago•0 comments

Show HN: Created an open-source QA agent

https://github.com/theopenco/llmgateway-templates/blob/main/templates/qa-agent/README.md
1•smakosh•30m ago•0 comments
Open in hackernews

If LLMs Only Predict the Next Token, Why Do They Work?

https://sicheng.dev/writing/why-can-LLM-work
3•sichengo•1h ago

Comments

chrisjj•1h ago
> we somehow observe behaviors that resemble reasoning, abstraction, and even creativity.

Puleeze. You type a search into Google and it returns a news article. Did you observe Google being creative?

> where exactly does the apparent intelligence come from?

The user's gullibility.

verdverm•1h ago
Dogs have intelligence, bees have intelligence, even slime molds some would argue. They are all different, yet still recognized. For you, why Ai is different?
chrisjj•45m ago
Why is your fridge, toaster or keyfob different? Same applies.
verdverm•10m ago
Your comment breaks from https://news.ycombinator.com/newsguidelines.html
sichengo•38m ago
Hmm, good point, but google only retrieves information from the web but LLMs do generate a new continuations from learned distributions. I would say the interesting question is that why modeling reasoning traces at scale produces reasoning like behavior at all.
_wire_•1m ago
The confusion arises from the question begging an arbitrary distinction of a token in isolation from all the state in the model and its progression in response to a prompt.

They work because while the process is generating a token at a time, each token has a location in an N-dimensional matrix of overlayed state networks for all the tokens in the training data, the tokens in the given prompt, and the sequence of tokens emitted so far for this prompt.

As an analogy, an image on the screen is emitted a pixel at a time, but each pixel's state is coded as part of a network in a matrix that includes all the residual state from the point of image capture.

And just like an image on your screen the computer has no "ideas" about the contents of the presentation, but other subsystems may use mathematical approaches to selecting and categorizing images, filtering, etc.

The common regard that AI is thinking is purely a matter of appearances, and idiomatic terminology.

As to why we tend to become troubled by the resemblance of AI behavior to thought or creativity, but we are not at all troubled by how entire worlds exist within our TV sets is a matter of surprise and conditioning to the medium.