Toasterson @Toasterson@chaos.social (@TheRealToaster) header
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#Illumos, #golang, #rustlang and other development things. @OpenIndiana Maintainer

Joined December 2012
Photo by Toasterson @Toasterson@chaos.social (@TheRealToaster)Photo by Toasterson @Toasterson@chaos.social (@TheRealToaster)Photo by Toasterson @Toasterson@chaos.social (@TheRealToaster)Photo by Toasterson @Toasterson@chaos.social (@TheRealToaster)Photo by Toasterson @Toasterson@chaos.social (@TheRealToaster)Photo by Toasterson @Toasterson@chaos.social (@TheRealToaster)Photo by Toasterson @Toasterson@chaos.social (@TheRealToaster)Photo by Toasterson @Toasterson@chaos.social (@TheRealToaster)
Toasterson @[email protected] retweeted
One for me, one for you. I got my Omarchy grant payment today, first thing I did with the funds is buy and give away an Acer DGX Spark! Love is a river that nourishes all things. Open Source Must Win Lynn is bringing local AI to farming communities. Globalise freedom.
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The biggest issue with open-source AI isn't the models. It's that the source data isn't open! Open source has changed the world because it gave everyone access to the common foundation to build, innovate, and compete. An open foundation brings everyone up, and allows people to accelerate innovation, reduce costs, and provides trust via transparency. We need the same thing in AI right now! Open-weight models are a great start. They give us the results of training, and allows for people to modify the weights slightly and fine-tune, but they do not provide the training data, provenance, licensing, or transparency to know what went into those weights. I have quite a bit of background in open source, including founding large projects and building communities. So the lack of open-source in AI troubled me, and caused me to create OpenWALDO (Weights, Artifacts, Licenses, Data, and Origins). OpenWALDO is an open-source initiative to build a shared, transparent, community-driven foundation for AI training data, provenance, licensing, and tooling. Truly open-source AI democratizes AI development by giving everyone the ability to participate, contribute, audit, reproduce, and improve the AI source openly and transparently, while empowering AI labs and companies to build upon that shared foundation. Open-source is about people, contributors, maintainers, and supporters. We are looking for more developers, researchers, companies, and enthusiasts to come and join the project: contributing/maintaining data, code, documentation, testing, expertise, as well as learning and helping others better understand AI. Thanks to LinuxInsider for covering OpenWALDO! Article: linuxinsider.com/story/rocky… Join us: openwaldo.org
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Toasterson @[email protected] retweeted
1,000 agents of Qwen3.8-27B formalized Fermat's Last Theorem in 30 hours.. I am still investigating why a recipe for oatmeal cookies with assorted seemingly random unicode showed up in the research database, but I suspect after this is ironed out the Lean will compile.
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Hmm Seems to me like someone over at Bloomberg knew what was going on since they moved heaven and earth to DMCA this story.
Bloomberg is trying to get @GamersNexus' channel removed from YouTube, one week after they exposed $NVDA is smuggling chips to China. 👀 @JG_Nuke @kshaughnessy2 @DarioCpx @SamanthaLaDuc
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Anthropic put GPU kernel optimization in the same Safeguards section as hacking and biology. WTF? It is in their launch post. During training they limited the skills that "could most directly accelerate AI development". "Accelerator kernel optimization." "Improving large language model architectures." There Fable 5.2 stays "at about the level of Opus 5.5". So making a model run faster on a cheap GPU is now a risk to be managed. You cannot see this one. There is no refusal and no warning. It was limited during training, before any user typed a word. Kernel work is how a used 3090 still runs new models. It is how open weights get to people who cannot pay $40 per 1M output tokens. What the hell? I genuinely wanted to say something nice, but now I can't. This completely broke me, I'm disappointed.
Claude Fable 5.2 and Claude Mythos 5.2 are available now:
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the Jensen scandal wouldn't work in France
BREAKING: Nvidia, $NVDA, CEO Jensen Huang sends a company-wide email regarding his recently reported relationship with a Chinese spy.
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There are now multiple high quality T3 Code integrations for World of Warcraft I think this might be worse than the CarPlay integrations
After @BellularGaming's take on a native @t3dotcodes addon for World of Warcraft instead of my overlay approach, I had to take a swing. This is better in every way. It feels totally native, and with full controller and dictation support I can drive threads from the couch.
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This is where open source has historically taken over, when everyone collaboratively joins and works together to change the world. OpenWALDO.org, you should join, just sayin’…
We must build superintelligence faster than the commies can ban it.
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What if.... America continues to face backlash from the community against AI, data centers aren't supported, AI becomes super regulated so there is very low US competition, tier-1 AI labs don't have successful IPOs and are unable to continue at the pace we need... What happens? Companies globally must remain globally competitive and thus will become dependent on the only option that will exist, which will be the Chinese open-weight models. Is that bad? Open-weight models are actually not open-source, and this matters considerably because even though they are licensed with open source licenses (Apache, MIT, etc), we don't know what is inside of them. We don't know how they were trained. We don't know what their alignment is or will be. This is critically important because they are black boxes that will have zero accountability. It's become the freeware of the 2020s, but worse, because people are enabling them with harnesses without appropriate controls and no US based company to be held accountable to. Considering how dependent AI has already become to the success of much science, medicine, research, energy, cyber-security, and software development (among others), the US loosing control and leadership of AI is actually very dangerous. Is there a fix? I believe there is, let's go back to talking about open source. Historically open source has been the fix to transparency, ethics, massive growth, collaboration, and safety. OpenWALDO is the first (and only) truly open source community for AI where anybody can join, collaborate, audit, and contribute to the entire AI corpus, tooling, and compose definitions for models. openwaldo.org. I've seen what a community of amazing people can do when they come together. It is what pivoted my own career over 25 years ago from biochemistry to Linux. And it is exactly what AI needs now. Come and join the open source community. Learn about AI training, inference, infrastructure, and (not to sound cliche, but...) be part of the future! @OpenWALDO
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Altman, Hassabis, and Amodei are the ones doing massive corporate lobbying at the moment. They are the ones who are attempting to perform a regulatory capture of the AI industry. You, Geoff, and Yoshua are giving ammunition to those who are lobbying for a ban on open AI R&D. If your fear-mongering campaigns succeed, they will *inevitably* result in what you and I would identify as a catastrophe: a small number of companies will control AI. The vast majority of our academic colleagues are massively in favor of open AI R&D. Very few believe in the doomsday scenarios you have promoted. You, Yoshua, Geoff, and Stuart are the singular-but-vocal exceptions. like many, I very much support open AI platforms because I believe in a combination of forces: people's creativity, democracy, market forces, and product regulations. I also know that producing AI systems that are safe and under our control is possible. I've made concrete proposals to that effect. This will all drive people to do the Right Thing. You write as if AI is just happening, as if it were some natural phenomenon beyond our control. But it's not. It's making progress because of individual people that you and I know. We, and they, have agency in building the Right Things. Asking for regulation of R&D (as opposed to product deployment) implicitly assumes that these people and the organization they work for are incompetent, reckless, self-destructive, or evil. They are not. I have made lots of arguments that the doomsday scenarios you are so afraid of are preposterous. I'm not going to repeat them here. But the main point is that if powerful AI systems are driven by objectives (which include guardrails) they will be safe and controllable because *e* set those guardrails and objectives. (Current Auto-Regressive LLMs are not driven by objectives, so let's not extrapolate from their current weaknesses). Now about open source: your campaign is going to have the exact opposite effect of what you seek. In a future where AI systems are poised to constitute the repository of all human knowledge and culture, we *need* the platforms to be open source and freely available so that everyone can contribute to them. Openness is the only way to make AI platforms reflect the entirety of human knowledge and culture. This requires that contributions to those platforms be crowd-sourced, a bit like Wikipedia. That won't work unless the platforms are open. The alternative, which will *inevitably* happen if open source AI is regulated out of existence, is that a small number of companies from the West Coast of the US and China will control AI platform and hence control people's entire digital diet. What does that mean for democracy? What does that mean for cultural diversity? *THIS* is what keeps me up at night.
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editing individual neurons and attention heads to graft a conditional personality trait into qwen3.5-4b it acts fully normal until you bring up javascript, and then it hard refuses. this method generalizes and variants work on different architectures too blog post soon!
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Me :)
who tf gave my kids ram for halloween🤦🏼‍♀️
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Ok T3 Code is actually very nice!! Seems to play with local quite nicely aswell! @theo
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Microsoft chased using a DB as a filesystem for about 20 years. It likely all started with OFS around the Cairo timeframe. OFS was conceived as an installable filesystem that would: - Store OLE objects (not just raw files) with rich, application-accessible metadata. - Support multiple data streams per object, long filenames, ACLs, quotas, and journaling. - Index both content and metadata so items could be searched and queried across applications (not just by name or path). - Optimize for large numbers of small files. The broader Cairo vision included “Smart Folders,” representing non-file objects (printers, devices, etc.) in the same hierarchy, and fulfilling Bill Gates’s “information at your fingertips” idea. Public demos appeared around the 1993 PDC. Then of course there was Storage+ and RFS and WinFS. Even ReFS uses a B-tree database internally.
It’s so funny that SQLite is genuinely faster than most traditional filesystems. I wish there were more experimental operating systems using dbs for the backend. Not many people playing around in this space...
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Today, ladies and gentlemen, a brief lesson in why I can't take people seriously who still claim that LLMs are useless for coding or produce only slop. One of my projects is called loccount. I shipped a release two days ago, but there was an internal problem with the code that was bugging me, so I went back to work on it. loccount counts source lines. There are lots of programs that do this. Here's a table of the number of languages and markups that eight of the more popular ones cover: 803 loccount 376 scc 361 cloc 331 tokei 187 gocloc 149 polyglot 118 ohcount 30 ocloc Here's another datum: I have added support for thirty one languages in the last two days. And I wasn't working particularly hard. It usually takes me about 10 to 15 minutes to research a language, add support for it, and sanity-check the results. If you are a discerning sort of person, that table might raise some questions in your mind. Like, how do you add working per-language support that fast? How does it happen that loccount supports more than twice the number of languages of the next runner up? And...how did you generate the numbers in that table, anyway? Part of the answer is that the program has a good separation between declarative knowledge and code. Like most programs of this kind, the knowledge about languages lives in a JSON or YAML file that gets compiled into data structures inside the line counter. The code that interprets that structure is generic. But the real answer is that I don't do any of the work by hand. And a good thing too because chasing down the syntax details on 803 languages would have bored me to tears. I think I did about the first 80 by hand. It is quite literally the case that I can point ChatGPT 6.0 Sol at the loccount code tree, tell it "Add support for language Foobar", and it will go out to the Web, research the language, and write a quirks entry in the YAML markup loccount uses. I also used my robot friend to write a Python script that reports comparative statistics on loccount's coverage versus seveen of its competitors. I push a button, the relevant source files get fetched from their repositories, and get all the comparisonds and statistics I could want. Why do I do this? Because it's how I know what additional languages to support. Every once in a while I poll all of my competition, and if they can line-count a language, I can't, I fix that. Again,I probably would not have gone to quite this much effort to stay ahead of the pack if generating the code to do those automated checks hadn't been so easy. Since it is, I get to stay king of the coverage-breadth hill with almost no effort. Thus endeth the lesson.
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RAM is expensive - so I used AI to make my own! But will it boot? Here's how it went...
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When I said I wanted more hacker content on my timeline I didn’t mean for someone to send me this and make me snort laugh in a butcher shop!
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IntelliJ IDEA, but rebuilt in Rust: 0.9s to open a project and 169MB of RAM. Editor, debugger, Git, terminal, databases and HTTP clients for 60+ languages.
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Civilization-level technology belongs in the hands of the swarm Come build with us
These guys really need managers who filter what they say. You don't say stuff like this. You just don't do it. When you're running civilization-level technology infrastructure projects, you need public sentiment to not turn against you. You need the little people to like you, no matter how pathetic and worthless you think they are, because they have pitchforks and ballots, and they will vote out all the politicians you bought to make your business model possible. Hell, they might even pitchfork you. Lotta corporate execs getting killed in the street lately. "You shouldn't have DRAM" reads like a threat. It turns on my lizard-brain and tells me that not only are you not Tribe, but you're willing to take Stuff from Tribe. And that means I'm going to have to stab you with something pointy to Defend Tribe. Like, c'mon, this is really bottom-shelf basics of human nature, here. Don't tell people's lizard brains that you want to take their stuff. Just further proof that techbros don't understand humans.
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Replying to @yacineMTB
Working on it!
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