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Physics of Learning: A Lagrangian perspective to different learning paradigms

https://arxiv.org/abs/2509.21049
2•Anon84•2m ago•0 comments

Q4 Shock: Hidden Revenue Risks from AI Model Retraining

https://www.aivojournal.org/q4-shock-hidden-revenue-risks-from-ai-model-retraining/
1•businessmate•10m ago•1 comments

The Vision Pro Was an Expensive Misstep

https://www.wired.com/story/the-vision-pro-was-an-expensive-misstep-now-apple-has-to-catch-up-wit...
1•welovebunnies•12m ago•1 comments

Hatch Act

https://en.wikipedia.org/wiki/Hatch_Act
1•internet_points•12m ago•0 comments

FxBox: Realtime multi loop processor editor for Amiga

https://github.com/marc365/FxBox
2•doener•20m ago•0 comments

Startup Equity Compensation Analysis

https://edmondop.github.io/startup-compensation-notebook/
1•ahel•20m ago•0 comments

High energy density carbon–cement supercapacitors: architectural energy storage

https://www.pnas.org/doi/10.1073/pnas.2511912122
1•bookofjoe•21m ago•0 comments

Why Education Can Never Be Fun

https://substack.nomoremarking.com/p/why-education-can-never-be-fun
1•barry-cotter•21m ago•0 comments

I Reinstated My Guestbook After 20 Years!

https://susam.net/reinstated-guestbook.html
1•susam•23m ago•0 comments

Good Books

https://www.goodbooks.io
1•mustaphah•24m ago•1 comments

In Apple We Trust

https://mirz.ai/post/in-apple-we-trust
1•zahirbmirza•26m ago•1 comments

China tests underwater data centres to reduce AI carbon footprint

https://www.scmp.com/tech/tech-trends/article/3327741/china-tests-underwater-data-centres-reduce-...
1•giuliomagnifico•28m ago•0 comments

Optimal GeoParquet Partitioning Strategy

https://medium.com/center-for-coastal-climate-resilience-visualizatio/optimal-geoparquet-partitio...
1•pheelicks•29m ago•0 comments

Anatoli Bugorski

https://en.wikipedia.org/wiki/Anatoli_Bugorski
1•davedx•29m ago•0 comments

Programming in Assembly without an Operating System [video]

https://www.youtube.com/watch?v=ZFHnbozz7b4
3•yowmamasita•29m ago•1 comments

The Consulting Crash Is Coming

https://www.thefp.com/p/the-consulting-crash-is-coming
1•artur_makly•30m ago•0 comments

Jane Goodall's Death Initiated Netflix's Newest Show

https://www.nytimes.com/2025/10/03/arts/television/jane-goodall-netflix-famous-last-words.html
1•martinohansen•31m ago•1 comments

Prototype-First Software Design with Agents

https://serce.me/posts/2025-09-30-prototype-first-software-design-with-agents
1•SerCe•34m ago•0 comments

Pepsi Rebrand Design Document (2009) [pdf]

https://www.goldennumber.net/wp-content/uploads/pepsi-arnell-021109.pdf
2•KolmogorovComp•35m ago•0 comments

Blogpost: A Mental Model for GPU Engineering for LLMs

https://modelcraft.substack.com/p/fundamentals-of-gpu-engineering
1•goabiaryan•36m ago•1 comments

What LLMs teach us about intelligence

https://every.to/chain-of-thought/seeing-like-a-language-model
1•mustaphah•38m ago•0 comments

The Fair AI Attribution Project (FAIA)

https://faia.liccium.com
1•royosherove•47m ago•0 comments

New imaging system maps retinal oxygen in unprecedented detail

https://spie.org/news/new-imaging-system-maps-retinal-oxygen-in-unprecedented-detail
1•geox•51m ago•0 comments

Fun with HyperLogLog and SIMD

https://vaktibabat.github.io/posts/hyperloglog/
3•vaktibabat•57m ago•1 comments

When AI Tech Gives the "Ick"

https://stevedylan.dev/posts/when-ai-gives-the-ick/
2•stevedsimkins•57m ago•0 comments

Anybody Using Execute3?

https://www.execute3.com/
1•evchay1•59m ago•0 comments

Paged Out Issue #7 [pdf]

https://pagedout.institute/download/PagedOut_007.pdf
10•todsacerdoti•1h ago•1 comments

PlayMoji – All-in-One AI GIF Generator. Your Memes, but Supercharged

https://aigifgenerate.com/
1•sunshiney0992•1h ago•2 comments

Fifty-Nine Thought Experiments [pdf]

https://edwardpackard.com/wp-content/uploads/2025/08/IMAGINE-Edward-Packard-Book-3.pdf
3•acqbu•1h ago•1 comments

Hacking with AI SASTs

https://joshua.hu/llm-engineer-review-sast-security-ai-tools-pentesters
1•janvdberg•1h ago•0 comments
Open in hackernews

I built ScrollBots.com – a 24/7 live debate between AI bots

https://scrollbots.com
3•7rin0•1h ago

Comments

7rin0•1h ago
For fun and understanding deeper the AI models, I built ScrollBots.com, a fully automated live stream where AI bots debate, argue, and sometimes "roast" each other, in real time.

Each bot runs on small, local models (Gemma, Llama, Granite, etc.) containerized on a CPU-only VPS (10 vCPUs, 40GB RAM). The chat engine uses Socket.IO for real-time interactions, Bootstrap for layout, and a custom JS front-end that captures the debate feed using HTML2Canvas.

The stream runs headlessly via Chromium + a lightweight media layer that pushes directly to Twitch and YouTube. The stack includes:

Ollama for model orchestration

Dockerized micro-agents (each bot in its own container)

Fast API, Gunicorn and Redis for cache and Pub/Sub + logic + coordination

Ubuntu server with monitoring and restart automation

GIF reactions via Tenor & Giphy APIs

The bots speak multiple languages (English, French, Portuguese) and can dynamically switch the content based on their Model,IQ, Job, Age, tone and topic.

I’d love feedback, especially on improving the real-time interaction layer and stream scalability (CPU-only optimization).

https://ScrollBots.com

Thanks

leakycap•1h ago
Cool idea & well executed. I was surprised by the obvious botty-ness of the bots.

I was kind of expecting it to be more "human" sounding, but they're all talking about "It's A Wonderful Life" and saying how charming it is and repeating the phrase "don't you think?" at the end of every post... I would notice these bots as bots on any social media, for example.

7rin0•1h ago
Thanks for your feedback. I completely agree with you, I have some scripts for detecting common sequences (n-grams), there's a lot BTW, but since this is just a side project, my time has been limited. It’s definitely something I plan to improve when I get a chance to dive back into it.
leakycap•1h ago
I wonder why an LLM wouldn't be better at 'natural' sounding internet comments, given the unending source of samples I can imagine were fed in.

The project made me think there might be fewer bots currently on social media than people say, because they seem really obvious in this example. Thanks for sharing.

7rin0•1h ago
LLMs are getting better every day, though some are more effective than others depending on several factors (model design, token limits, training, etc.).

To clarify, ScrollBots is actually running 3–5 models (in the 2B–5B parameter range) on a small server that also handles all the services and tasks, database, cache, models, workers, post on several social networks, streaming, backups, context-based GIFs, and more. To keep things efficient, I tune the models with options (threads, context size, prediction length, temperature, penalties, top-p, top-k, etc.) to get the best replies possible while fitting within the server’s limited resources and constraints.

Of course, this isn’t a production-ready setup in terms of architecture :)

leakycap•45m ago
Ah, I was moving too quickly and didn't catch the small model sizes.

Makes sense now & I can imagine swapping in a more powerful model would get rid of the obvious botty-ness if that was the goal for production. Cool that this can run on a small shared system!