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Building a Custom Clawdbot Workflow to Automate Website Creation

https://seedance2api.org/
1•pekingzcc•2m ago•1 comments

Why the "Taiwan Dome" won't survive a Chinese attack

https://www.lowyinstitute.org/the-interpreter/why-taiwan-dome-won-t-survive-chinese-attack
1•ryan_j_naughton•2m ago•0 comments

Xkcd: Game AIs

https://xkcd.com/1002/
1•ravenical•3m ago•0 comments

Windows 11 is finally killing off legacy printer drivers in 2026

https://www.windowscentral.com/microsoft/windows-11/windows-11-finally-pulls-the-plug-on-legacy-p...
1•ValdikSS•4m ago•0 comments

From Offloading to Engagement (Study on Generative AI)

https://www.mdpi.com/2306-5729/10/11/172
1•boshomi•6m ago•1 comments

AI for People

https://justsitandgrin.im/posts/ai-for-people/
1•dive•7m ago•0 comments

Rome is studded with cannon balls (2022)

https://essenceofrome.com/rome-is-studded-with-cannon-balls
1•thomassmith65•12m ago•0 comments

8-piece tablebase development on Lichess (op1 partial)

https://lichess.org/@/Lichess/blog/op1-partial-8-piece-tablebase-available/1ptPBDpC
2•somethingp•14m ago•0 comments

US to bankroll far-right think tanks in Europe against digital laws

https://www.brusselstimes.com/1957195/us-to-fund-far-right-forces-in-europe-tbtb
3•saubeidl•15m ago•0 comments

Ask HN: Have AI companies replaced their own SaaS usage with agents?

1•tuxpenguine•18m ago•0 comments

pi-nes

https://twitter.com/thomasmustier/status/2018362041506132205
1•tosh•20m ago•0 comments

Show HN: Crew – Multi-agent orchestration tool for AI-assisted development

https://github.com/garnetliu/crew
1•gl2334•20m ago•0 comments

New hire fixed a problem so fast, their boss left to become a yoga instructor

https://www.theregister.com/2026/02/06/on_call/
1•Brajeshwar•21m ago•0 comments

Four horsemen of the AI-pocalypse line up capex bigger than Israel's GDP

https://www.theregister.com/2026/02/06/ai_capex_plans/
1•Brajeshwar•22m ago•0 comments

A free Dynamic QR Code generator (no expiring links)

https://free-dynamic-qr-generator.com/
1•nookeshkarri7•23m ago•1 comments

nextTick but for React.js

https://suhaotian.github.io/use-next-tick/
1•jeremy_su•24m ago•0 comments

Show HN: I Built an AI-Powered Pull Request Review Tool

https://github.com/HighGarden-Studio/HighReview
1•highgarden•24m ago•0 comments

Git-am applies commit message diffs

https://lore.kernel.org/git/bcqvh7ahjjgzpgxwnr4kh3hfkksfruf54refyry3ha7qk7dldf@fij5calmscvm/
1•rkta•27m ago•0 comments

ClawEmail: 1min setup for OpenClaw agents with Gmail, Docs

https://clawemail.com
1•aleks5678•34m ago•1 comments

UnAutomating the Economy: More Labor but at What Cost?

https://www.greshm.org/blog/unautomating-the-economy/
1•Suncho•41m ago•1 comments

Show HN: Gettorr – Stream magnet links in the browser via WebRTC (no install)

https://gettorr.com/
1•BenaouidateMed•42m ago•0 comments

Statin drugs safer than previously thought

https://www.semafor.com/article/02/06/2026/statin-drugs-safer-than-previously-thought
1•stareatgoats•43m ago•0 comments

Handy when you just want to distract yourself for a moment

https://d6.h5go.life/
1•TrendSpotterPro•45m ago•0 comments

More States Are Taking Aim at a Controversial Early Reading Method

https://www.edweek.org/teaching-learning/more-states-are-taking-aim-at-a-controversial-early-read...
2•lelanthran•46m ago•0 comments

AI will not save developer productivity

https://www.infoworld.com/article/4125409/ai-will-not-save-developer-productivity.html
1•indentit•51m ago•0 comments

How I do and don't use agents

https://twitter.com/jessfraz/status/2019975917863661760
1•tosh•57m ago•0 comments

BTDUex Safe? The Back End Withdrawal Anomalies

1•aoijfoqfw•1h ago•0 comments

Show HN: Compile-Time Vibe Coding

https://github.com/Michael-JB/vibecode
7•michaelchicory•1h ago•1 comments

Show HN: Ensemble – macOS App to Manage Claude Code Skills, MCPs, and Claude.md

https://github.com/O0000-code/Ensemble
1•IO0oI•1h ago•1 comments

PR to support XMPP channels in OpenClaw

https://github.com/openclaw/openclaw/pull/9741
1•mickael•1h ago•0 comments
Open in hackernews

Can you save on LLM tokens using images instead of text?

https://pagewatch.ai/blog/post/llm-text-as-image-tokens/
48•lpellis•3mo ago

Comments

bikeshaving•3mo ago
Does this mean we’ll finally get empirical proof for the aphorism “a picture is worth a thousand words”?

https://en.wikipedia.org/wiki/A_picture_is_worth_a_thousand_...

heltale•3mo ago
I suppose it’s only worth 256 words at a time right now. ;)

https://arxiv.org/abs/2010.11929

estebarb•3mo ago
The CALM paper https://shaochenze.github.io/blog/2025/CALM/ says it is possible to compress 4 tokens in a single embedding, so... image = 4×256=1024 words > 1000 words. QED
bikeshaving•3mo ago
2.4% relative error is not bad.
pastor_williams•3mo ago
Reminds me of Babbage making allowance for meter.

"""

    ... it is said that he [Babbage] sent the following letter to Alfred, Lord Tennyson about a couplet in "The Vision of Sin":

         Every minute dies a man,
         Every minute one is born

    I need hardly point out to you that this calculation would tend to keep the sum total of the world's population in a state of perpetual equipoise, whereas it is a well-known fact that the said sum total is constantly on the increase. I would therefore take the liberty of suggesting that in the next edition of your excellent poem the erroneous calculation to which I refer should be corrected as follows:

         Every minute dies a man,
         And one and a sixteenth is born

    I may add that the exact figures are 1.167, but something must, of course, be conceded to the laws of metre.
"""

    Charles Babbage and his Calculating Engines
zahlman•3mo ago
Wouldn't "one and a sixth" be more accurate in both respects?
cbhl•3mo ago
Shouldn't it be the other way around if the population is increasing? Every minute one is born = 1440 born/day, every minute and a sixteenth ~= 1335 dead/day for a net population increase of 105/day.
BrenBarn•2mo ago
It means that in every minute, one and a sixteenth of a man is born.
behnamoh•3mo ago
how do you decompress all those 4 words from one token?
estebarb•3mo ago
Not from one token, from one embedding. Text contains a low amount of information: it is possible to compress a few token embeddings into a single tiken embedding.

The how is variable. The calm paper seems to have used a MLP to compress from and ND input (N embeddings of size D) into a single D embedding and other for decompress them back

HarHarVeryFunny•3mo ago
The mechanism would be prediction (learnt during training), not decompression.

It's the same as LLMs being able to "decode" Base64, or work with sub-word tokens for that matter, it just learns to predict that:

<compressed representation> will be followed by (or preceded by) <decompressed representation>, or vice versa.

floodfx•3mo ago
Why are completion tokens more with image prompts yet the text output was about the same?
Garlef•3mo ago
"Thinking" Mode
nunodonato•3mo ago
it doesn't say that anywhere.
cma•3mo ago
Some multimodal models may have a hidden captioning step that may take completion tokens, others work on a fully native representation, and some do both I think.
ashed96•3mo ago
In my experience, LLMs tend to take noticeably longer to process images than text.
psadri•3mo ago
I wonder if these stay in the prefix cache?
weird-eye-issue•3mo ago
It has to get the image data first, basically just IO time before processing it
ashed96•3mo ago
IIRC there's pre-processing (embedding/tokenization?) before feeding images to LLMs?

Hit this issue optimizing LLM request times. Ending up lowering image resolution. Lost some accuracy but could bear that.