python, linux, formula nerd :: Stoic humanist

red dirt land (OKC), usa
Joined October 2021
I made this account because I was inspired by @mathsppblog to make educational content as a means of learning Python I really wanted to work at @textualizeio one day Not working for Will, but I do get paid to write Python for a living. So I guess it worked out : )
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HEART BREAKING: Theo actually has a good point
Replying to @bridgemindai
“Claude Opus 5.5 just took a big drop on NerfBench” “Well acshually it is within the margins, I even call it out in impossibly small print in the video 🤓” You know exactly what you’re doing here. You can’t have your cake and eat it too.
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I was so wonderfully naive New benchmark: your opinion on Omarchy
The ultimate litmus test for someone's personality is how they use the term "hack"
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This guy is so embarrassing
Many people think that the words “Artificial Intelligence” are inaccurate, and very ineloquent, relative to AI, or Artificial Intelligence. A far more elegant and accurate description of this new phenomena would be Superior Intelligence (SI) or, Extreme Intelligence (EI) or, Supreme Intelligence (SI). This is a Poll, and I would appreciate everybody voting! Which is the best name for this ever growing “Revolution?” President DONALD J. TRUMP
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bexli retweeted
FIRST CHAMPION FROM THE USA! 🏆🇺🇸 Ugo Ugochukwu becomes the first FIA Formula 3 Champion from the United States of America! 🦅 #F3 #RoadToF1
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Oscar's front wing rn
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Omarchy makes a lot more sense when you realize it's made by the same guy that made Ruby on Rails and its task manager is written by Dave Plummer
Aviso para los que usan Omarchy. Realmente me mantuve alejada de esta distro porque su desarrollador/creador es medio raro, tipo, raro raro. Manteniendo las políticas de lado si no no haría este tweet. Esa distro está llena de vulnerabilidades. Con visitar una web y 2 clicks ya te pueden hackear o spawnear una shell. Con un USB te pueden hackear. Con un comando pueden hacer LPE a root porque el desarrollador hizo que Docker corriera en root e incluir al user del usuario en el grupo de Docker. Está increiblemente vibecodeado. Uno de los PRs/Patches que tuvo recientemetne literalmente decía "Dejar de procesar nombres de USBs como scripts Lua de Hyprland" O sea... ??? En serio, es malísimo las vulnerabilidades que están saliendo, Y SOLO ESTA SEMANA.
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'Linux is full of crazy clowns'
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🚨 DeepSeek V4 Pro (GA) is now rolling out on the DeepSeek API and on DeepSeek Chat
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Pi beating bloated OMP is hilarious.
We ran DeepSeek V4 Flash through 4 more agent harnesses (Hermes Agent, Pi Agent, Prime Agent, Deep Agents) on 30 challenging agentic tasks. Pi Agent was the cheapest harness and passed the most tasks 🧵🧵
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Naively. I don't like any of the oh-my-* style wrappers for anything. They are always too much that sound great but are actually bloat.
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Guys
Oh-My-Hermes is officially here: Supercharging hermes-agent into the ultimate coding orchestrator. 🚀💡 Instead of forcing one model to do everything, Hermes now acts as the supreme software engineering conductor. It respects SOTA models for raw execution while managing task analysis, goal refinement, prompt tuning, real-time evals, and smart model routing. Here is how the intelligence layer works: ⚡ Task Analysis & Ambiguity Resolution: Fixes vague user goals and converts them into hyper-optimized prompts designed for specific vendor strengths. 🧠 Multi-Vendor Routing: Claude Code & Codex handle heavy coding. Pi Runtime handles real-time execution & evals. Kimi, Qwen, GLM, & DeepSeek handle smart workload partitioning based on their unique traits. Grok handles X scraping & web retrieval. Gemini & Nemotron handle fast extractions, context, and compression. ⚙️ Smart Sanity Checks: Actively suppresses over-verification loops seen in models like gpt-sol or fable-5 to keep dev loops blazing fast. 🤖 Dual Engine: Human-friendly communication on the surface, extreme hardcore engineering under the hood. The future of Hermes One-Point is plain simple: Orchestration > Isolation. Let Claude Code and Codex write the raw code—Hermes sits at the top and commands the entire system. > github.com/rlaope/oh-my-herm… > github.com/rlaope/oh-my-herm… > github.com/rlaope/oh-my-herm… Just install and run. Oh My Hermes does the rest. 🔥🤖 #hermes #openclaw #agent #ai #coding
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oh-my-anything is bad
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Surely the wing of certain destruction will work this time!
Looks like the Macarena rear wing is back this weekend! (📸 via @MateuszMrz8)
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Someone check on Andrew
This quoted post is unavailable.
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Hospital full of performative hand washers
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Welcoming the Marxist open weight future with open arms
Some observations on Kimi: 1. It's a very good model! I don't think its performance can be explained away by distillation or anything like that. In agentic coding sessions, it seems pretty much on par with the best public models of Q1 2026. In my fairly limited use, it also seemed very token hungry. It's not obvious to me that this model is actually that cheap to run. 2. I am personally surprised the Chinese state continues to allow the open sourcing of models this good, given potential risks. To be clear, I *myself* might be fine with models presenting this level of marginal risk being open weight, but I am surprised that China is fine with it. I suspect the reason they are is 75% explained by strategic blindness/lack of AGI-pilledness (the CCP is very Yann Lecun-y in its views of AI). The other 25% or so is their lack of compute for customer inference (making China's open-weight strategy an unintended byproduct of US export controls) and the normal Chinese strategy of aggressive exports. For the companies, as opposed to the government, the decision to open source is partially ideological and partially because they are behind, and they know that very few people would pay for sub-frontier models from China. 3. Open-weight models are inherently decelerationist, and I'm continually surprised to see the so-called "accelerationists" so excited about open-weight models. I suspect the reason they are is that they know open-weight models are effectively ungovernable, and they simply like the overall cloak of ungovernability open-weight models create over the whole of AI. It's not a bad strategy; it reminds me of James Scott's recounting of the hill people in "the art of not being governed." Still, in the end, open-weight models deter further AI capex. 4. One probable outcome of an open-weight-model-dominant world is full AI communism, which is precisely what China proposes: rather than a market product, AI is a "public good" which will ultimately be provided by the state as a kind of "digital public infrastructure." This future strikes me as a dystopian hellscape, but I've never met an open-weight models advocate who doesn't ultimately concede this is where things end. You'd be surprised how many 'accelerationists' lobbied me, while I was in government, to support an eleven or twelve-figure federally funded data center so that startups could train models at a subsidy and then give them away for free. There was no other way for AI to progress, they said. Perhaps this is the logical end state of things. Nonetheless, I find myself surprised to see supposed accelerationists excited about such an outcome. I think many of them just don't know what they're doing. Many accelerationists do not view the creation and serving of frontier models as a legitimate business. 5. I would guess that the Trump Administration will at some point realize that their best strategy here would be to create large amounts of regulatory risk around the use of open-weight Chinese models. You don't need to "ban open source" (one of the dumber motifs of AI policy discussion). You just need to direct every agency to issue soft law that creates FUD. "A Federal Reserve Advisory Bulletin found that there may be backdoors in Chinese AI models." It needn't be that well justified. You just create enough regulatory risk that every regulated enterprise backs off. You probably don't want to create so much regulatory risk that you scare off the hyperscalers from serving Chinese models; this will just drive startups to sketchier providers. There's a happy middle ground here. I'd assume they will do some version of this. 6. It's probably true that open-weight models of this capability make the world a bit more dangerous, but not so much more that you'll really notice. At some point the models will be capable enough that you will notice. "A nonliving, invisible, dangerous, and infinitely self-replicating agent escaped from a Chinese lab," you say? Color me shocked.
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bexli retweeted
americans after eating a salad
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BOOOOO 🍅🍅🍅
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