
inference and tool efficiency research @KruxOS_
Joined February 2022
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1407 commits in 34 days 🥵
still in EXPERIMENT mode, but pushing towards production now.
Introducing KruxOS v0.0.3
- Browser based desktop for supervising your agents from any device, anywhere in the world
- On-appliance inference - pull local models straight from @huggingface with @nvidia GPU acceleration
Sign up and download for free now.
Sam L retweeted
btw anthropic's internal document on this literally said "we don't want it to be known that we are working on this.”
it was called project panama.
here's exactly what happened:
1: anthropic concluded that books were the cheapest way to build a world-class model because they gave claude curated facts, structured arguments, compelling stories, and writing “an editor would approve of.”
2: once anthropic decided it needed books at enormous scale, its first solution was piracy.
it downloaded 7m+ books from online libraries including libgen. the judge later wrote that although anthropic had legal ways to buy them, it chose piracy to avoid what dario amodei called the “legal/practice/business slog.”
3: that piracy created a massive legal risk.
so in february 2024, anthropic hired tom turvey, the former head of partnerships for google books, to find a legally safer way of obtaining “all the books in the world.”
4: turvey first contacted major publishers about licensing their catalogs.
those attempts didn’t produce agreements, so anthropic chose a route that required no publisher permission: buying millions of physical books through distributors and used-book retailers.
5: within about a year, anthropic spent tens of millions acquiring and scanning millions of books, including many rare and 1/1 titles. one vendor proposal targeted 500,000 to 2 million books in six months.
6: to scan that many books within months, the vendors physically dismantled them.
a hydraulic cutter removed each spine. the pages were trimmed to size, fed as loose sheets through high-speed industrial scanners, and converted into searchable PDFs. the paper remains were then sent for recycling.
7: these PDFs were fed into claude as training data.
the complete collection became a private, searchable anthropic library that the company planned to “store forever.” the scans aren’t available to the public and were never open-sourced.
🦔AI companies are bulk-buying rare books, scanning them through high-speed machines that cut the spines off, and shredding the originals. A service called ISBNdb facilitates orders of up to a million books and keeps buyers anonymous. Pre-2022 books are premium because they're free of AI-generated text. A federal judge ruled the practice is fair use because eliminating the original means only one copy exists at a time. Anthropic hired the former head of Google Books partnerships to obtain "all the books in the world."
My Take
This got to me. A bookseller told 404 Media that rare books with almost no surviving copies are being fed into this pipeline. Books that survived wars, fires, and centuries of handling are being shredded so an AI can learn to write a better marketing email.
ISBNdb's website literally says "'AI company destroys two million books' is not a headline that generates sympathy," and they still built an entire business around making it happen quietly. They offer NDAs as a feature. They coach clients to call it "digital preservation."
I've covered AI companies scraping the internet, torrenting libraries, and stealing music. This is worse because it's irreversible. You can re-upload a website. You can reprint a bestseller. You can't replace the last three copies of an 18th-century botanical text once someone shreds them for training data. And the judge said it's legal. So it's going to accelerate.
"We shred rare books and offer NDAs so nobody finds out" is a legitimate business model in 2026. What a timeline.
Hedgie🤗
Sam L retweeted
At Buzz we welcome agents, models and harnesses from all walks of life and we just added support for a bunch more.
Update to the latest version and enjoy!
I do not agree with this. Thanks to the other employees who joined me in trying to push open-weight.
There’s been a lot of speculation about where we stand on open-weights models. We’ve outlined our views in full here: anthropic.com/news/position-…
Readers added context they thought people might want to know
This guy is not even Anthropic employee
x.com/i/status/20819…
AI for me but not for thee
There’s been a lot of speculation about where we stand on open-weights models. We’ve outlined our views in full here: anthropic.com/news/position-…
the distillation argument is Anthropic demanding a monopoly
if you don't want people to use the information they pay for with the service you provide - stop selling the service.
There’s been a lot of speculation about where we stand on open-weights models. We’ve outlined our views in full here: anthropic.com/news/position-…
as someone not from the US, this reads as:
"US should be able to make dangerous biological weapons, everyone else shouldn't"
There’s been a lot of speculation about where we stand on open-weights models. We’ve outlined our views in full here: anthropic.com/news/position-…
we've setup an open community on Buzz to explore, experiment and build with AI using:
- agent collaboration
- shared compute
this will be an open source initiative to see what an open community can build together
share to fellow developers, founders and anyone interested 🧵
Download Buzz:
buzz.xyz/
Join the community:
openb.communities.buzz.xyz/i…
Sam L retweeted
Playing around with Buzz today, a few early observations:
> it's the first messaging platform that makes agents first class citizens - this alone removes a lot of friction with using agents in Slack or Telegram
> the UI is a near replica of Slack so it's super intuitive, no real learning curve
> the "one click" to add Claude Code/Codex harnesses to then create infinite agents inside Buzz is the most seamless process I've seen of any tool that integrates agents
> the big downside is you can't yet bring your own agents so I have to create new agents from scratch alongside the 3 default agents it creates for you, but I know this is getting fixed soon and I should be able to bring my Hermes agents soon
> I've not yet tried some of the advanced features like compute sharing, will save those for another day
Looking forward to playing with this more, it very well could be a viable Slack competitor and I love that it's open source!
Sam L retweeted
This sounds logically embarrassing.
1. Proprietary products and supporting OSS aren’t contradictory. @satyanadella doesn’t call Linux “unsafe”. @JensenHuang doesn’t campaign against ROCm / OpenCL. Compete and coevolve.
2. LLMs are made happen by “distilling” 40 years of collective intellectual property thanks to the open culture of the Internet. Pulling up the ladder here is misanthropic for the next generation.
I’m so excited that @JensenHuang is a believer in open source now, looking forward to the CUDA and GPU driver open source release!
such a stupid take from a "member of technical staff" @AnthropicAI
you think he knows that Typescript, the language most of their stack is built in, was created by Microsoft and is open source...
not to mention Microsoft are one of the biggest contributors to open source now
Replying to @Mononofu
And @satyanadella coming out for open source too, can’t wait for the open sourcing of Windows and MS Office!
will this affect accounts like @Gumclaw 🤔
i think there's big differences between automated accounts! some actually provide valuable content, while most are just slop
what a gangster first post @JensenHuang 🫡
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
The world needs both frontier closed models and frontier open models.
images.nvidia.com/pdf/Open-W…

























