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Di.day is a movement to encourage people to ditch Big Tech

https://itsfoss.com/news/di-day-celebration/
1•MilnerRoute•1m ago•0 comments

Show HN: AI generated personal affirmations playing when your phone is locked

https://MyAffirmations.Guru
1•alaserm•2m ago•0 comments

Show HN: GTM MCP Server- Let AI Manage Your Google Tag Manager Containers

https://github.com/paolobietolini/gtm-mcp-server
1•paolobietolini•3m ago•0 comments

Launch of X (Twitter) API Pay-per-Use Pricing

https://devcommunity.x.com/t/announcing-the-launch-of-x-api-pay-per-use-pricing/256476
1•thinkingemote•3m ago•0 comments

Facebook seemingly randomly bans tons of users

https://old.reddit.com/r/facebookdisabledme/
1•dirteater_•4m ago•1 comments

Global Bird Count

https://www.birdcount.org/
1•downboots•5m ago•0 comments

What Is Ruliology?

https://writings.stephenwolfram.com/2026/01/what-is-ruliology/
2•soheilpro•7m ago•0 comments

Jon Stewart – One of My Favorite People – What Now? With Trevor Noah Podcast [video]

https://www.youtube.com/watch?v=44uC12g9ZVk
1•consumer451•9m ago•0 comments

P2P crypto exchange development company

1•sonniya•23m ago•0 comments

Vocal Guide – belt sing without killing yourself

https://jesperordrup.github.io/vocal-guide/
1•jesperordrup•27m ago•0 comments

Write for Your Readers Even If They Are Agents

https://commonsware.com/blog/2026/02/06/write-for-your-readers-even-if-they-are-agents.html
1•ingve•28m ago•0 comments

Knowledge-Creating LLMs

https://tecunningham.github.io/posts/2026-01-29-knowledge-creating-llms.html
1•salkahfi•29m ago•0 comments

Maple Mono: Smooth your coding flow

https://font.subf.dev/en/
1•signa11•35m ago•0 comments

Sid Meier's System for Real-Time Music Composition and Synthesis

https://patents.google.com/patent/US5496962A/en
1•GaryBluto•43m ago•1 comments

Show HN: Slop News – HN front page now, but it's all slop

https://dosaygo-studio.github.io/hn-front-page-2035/slop-news
5•keepamovin•44m ago•1 comments

Show HN: Empusa – Visual debugger to catch and resume AI agent retry loops

https://github.com/justin55afdfdsf5ds45f4ds5f45ds4/EmpusaAI
1•justinlord•46m ago•0 comments

Show HN: Bitcoin wallet on NXP SE050 secure element, Tor-only open source

https://github.com/0xdeadbeefnetwork/sigil-web
2•sickthecat•49m ago•1 comments

White House Explores Opening Antitrust Probe on Homebuilders

https://www.bloomberg.com/news/articles/2026-02-06/white-house-explores-opening-antitrust-probe-i...
1•petethomas•49m ago•0 comments

Show HN: MindDraft – AI task app with smart actions and auto expense tracking

https://minddraft.ai
2•imthepk•54m ago•0 comments

How do you estimate AI app development costs accurately?

1•insights123•55m ago•0 comments

Going Through Snowden Documents, Part 5

https://libroot.org/posts/going-through-snowden-documents-part-5/
1•goto1•55m ago•0 comments

Show HN: MCP Server for TradeStation

https://github.com/theelderwand/tradestation-mcp
1•theelderwand•58m ago•0 comments

Canada unveils auto industry plan in latest pivot away from US

https://www.bbc.com/news/articles/cvgd2j80klmo
3•breve•59m ago•1 comments

The essential Reinhold Niebuhr: selected essays and addresses

https://archive.org/details/essentialreinhol0000nieb
1•baxtr•1h ago•0 comments

Rentahuman.ai Turns Humans into On-Demand Labor for AI Agents

https://www.forbes.com/sites/ronschmelzer/2026/02/05/when-ai-agents-start-hiring-humans-rentahuma...
1•tempodox•1h ago•0 comments

StovexGlobal – Compliance Gaps to Note

1•ReviewShield•1h ago•1 comments

Show HN: Afelyon – Turns Jira tickets into production-ready PRs (multi-repo)

https://afelyon.com/
1•AbduNebu•1h ago•0 comments

Trump says America should move on from Epstein – it may not be that easy

https://www.bbc.com/news/articles/cy4gj71z0m0o
7•tempodox•1h ago•4 comments

Tiny Clippy – A native Office Assistant built in Rust and egui

https://github.com/salva-imm/tiny-clippy
1•salvadorda656•1h ago•0 comments

LegalArgumentException: From Courtrooms to Clojure – Sen [video]

https://www.youtube.com/watch?v=cmMQbsOTX-o
1•adityaathalye•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.