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I feel like from day one, LLMs was talked about in relation to how it will change the world, how it's good or bad for business and the environment. But then yesterday, I was out walking with the dog, and it hit me how freaking cool this technology is.

I don't want to talk about where I am on the spectrum between booster and denier. I'm so sick and tired of hearing about it, and it doesn't matter in this context.

I spent the first 8 years of my career trying to make the computer understand reality through images - scanning receipts, finding defects on wind turbine blades, and other niche-but-important things. The amount of work it took to just read a receipt and get the text somewhat right.. It was insane. It was really fun work, but it was so hard to make the real world fit into boxes.

I feel like I completely missed being excited about LLMs - instead I got dragged into discussions about what it means. And it's not because I've lost the ability to care; I can get excited about a new hashing algorithm and other weird tech, but LLMs? it didn't even register as a technology. Maybe it's an uncanny valley kind of thing - where it doesn't look like a classic computer science thing, so my brain didn't register it as such?

During my walk I started thinking of the possibilities. And I know your mind might immediately jump to fully-fledged big-scope solutions, but just try to give it space in that other part of the mind - the part where it's cool and not a tool to change our society. We have no idea what's gonna happen - and that's fine - we've never known that. But what we do know is that we have this really cool technology that you can run on your own computer now.

You can actually literally IRL for real, make a python program yourself that you can talk to and it understands you and do things. All on your own machine. No nothing! IT'S LIKE A TOTALLY NORMAL TECHNOLOGY! It's so cool, I can't really believe it. It can even view images and explain it you, and I just.. I'm so excited now.

Don't let them take the fun out of this technology, and spend a few seconds thinking about that cool little trick that made it possible for us to talk to sand.

Comments URL: https://news.ycombinator.com/item?id=48979417

Points: 1

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Article URL: https://www.wsj.com/world/europe/stagnant-germany-considers-the-unthinkable-sunday-shopping-13b4651c

Comments URL: https://news.ycombinator.com/item?id=48979413

Points: 1

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Article URL: https://pyrefly.org/blog/pyrefly-attrs/

Comments URL: https://news.ycombinator.com/item?id=48978616

Points: 1

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Article URL: https://news.risky.biz/risky-bulletin-hacker-wipes-romanias-entire-land-registry-database/

Comments URL: https://news.ycombinator.com/item?id=48978605

Points: 1

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Article URL: https://golemui.com/blog/the-age-of-token-efficiency/

Comments URL: https://news.ycombinator.com/item?id=48978587

Points: 1

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This toy retro synth installs and runs on esp32-s3 or p4 as an ELF file under BreezyBox firmware. It uses my work-in-progress immediate mode TUI library in C.

Web-based version via emscripten: https://mini000.itch.io/beeper

Source code: https://github.com/valdanylchuk/beeper

Demo video running on Tanmatsu (esp32-p4): https://www.youtube.com/watch?v=uCH9XYZ7QB0

The main challenge I was going for was actually to find a nice minimal set of controls for a subtractive synth. Usually there are 40-50 of them in "simple" synths; I ended up with 16.

In terms of TUI, I wanted to see if it would be practical at embedded C scale to use a modern approach similar to ratatui, Dear ImGui, or Nuklear. I am quite happy with it so far. Will keep using and extending it for more embedded apps.

I did not publish the library as a separate project yet; it is not mature enough. Feel free to reuse it via good old copying for now if you like it.

For those who remember my earlier post here about the BreezyBox ( https://news.ycombinator.com/item?id=46918429 ), a few updates from the last 6 months:

* added sshd for inbound connections * extended shell with variables, loops, conditions, tar, grep, diff * added sound component, including pico8-themed sequencer, and a few example apps * ported my self-hosting C compiler for RISC-V (rcc700) * shared a full example firmware project for Tanmatsu (p4), in addition to earlier Waveshare (s3)

Thanks for checking this out! I welcome any questions and feedback about the synth app, the TUI library, or the Breezybox firmware.

Comments URL: https://news.ycombinator.com/item?id=48978565

Points: 1

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Article URL: https://kotaku.com/gta-vice-city-made-playable-in-gta-3-made-playable-in-gta-san-andreas-2000717510

Comments URL: https://news.ycombinator.com/item?id=48978545

Points: 1

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Hi HN,

I've been working on QUBE Predict, a cloud platform for drug response prediction built around graph-based biological descriptor learning.

Rather than relying solely on end-to-end models, the framework focuses on reusable biological descriptor representations that can be paired with conventional machine learning algorithms.

The platform includes:

• REST API

• Web interface

• Batch prediction

• Authentication and API keys

• Cloud deployment

The methodology has been described in a publicly available technical paper.

Paper:

https://doi.org/10.5281/zenodo.21455765

Live Demo:

https://qube-predict.streamlit.app/

GitHub:

https://github.com/gulfamh1999-afk/qube-predict-ui

I'd really appreciate technical feedback, especially on the representation-learning methodology and platform architecture.

Comments URL: https://news.ycombinator.com/item?id=48978516

Points: 1

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Article URL: https://ieeexplore.ieee.org/document/11196478

Comments URL: https://news.ycombinator.com/item?id=48978508

Points: 1

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Article URL: https://blog.brendankeaton.com/self-service-ransomware-as-security-against-local-ai-tools

Comments URL: https://news.ycombinator.com/item?id=48978503

Points: 1

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Article URL: https://programmingsimplicity.substack.com/p/languages-that-stretch-your-di-capabilities

Comments URL: https://news.ycombinator.com/item?id=48978497

Points: 1

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Article URL: https://duely-44998.bubbleapps.io/

Comments URL: https://news.ycombinator.com/item?id=48978454

Points: 2

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Focus just doesn't cut it. I don't want Jira, Teams, Outlook, Slack, etc. sending me notifications after I've signed off of work, or if its the weekend. I find myself turning of Teams notifications on my iPhone over the weekend, and forgetting to turn it on during work hours. Apple should introduce a feature that schedules work-hours notifications, so you decide what times Teams notifications should be sent to you and during what day of the week. Shouldn't be fixed to 8h, some of us might want it to be turned on between 08:00-10:00 on a Wednesday only. Thoughts?

Comments URL: https://news.ycombinator.com/item?id=48978431

Points: 2

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Article URL: https://tyxter.com/

Comments URL: https://news.ycombinator.com/item?id=48978408

Points: 1

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Article URL: https://predictive-model.com

Comments URL: https://news.ycombinator.com/item?id=48978400

Points: 1

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Article URL: https://spectrum.ieee.org/tidal-energy-underwater-kite-power

Comments URL: https://news.ycombinator.com/item?id=48978394

Points: 1

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Article URL: https://yang-ai-lab.github.io/Inertia-1/

Comments URL: https://news.ycombinator.com/item?id=48978388

Points: 2

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Article URL: https://alz-journals.onlinelibrary.wiley.com/doi/10.1002/alz.71582

Comments URL: https://news.ycombinator.com/item?id=48978360

Points: 1

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Article URL: https://cuescout.com/blog/where-b2b-buyers-actually-ask-on-reddit

Comments URL: https://news.ycombinator.com/item?id=48978358

Points: 2

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Article URL: https://cephalosec.com/blog/the-asymmetry-problem-ai-safeguards-are-mostly-hindering-the-good-guys/

Comments URL: https://news.ycombinator.com/item?id=48978353

Points: 1

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