Bradford

@larsencc Try building a docker container with Nix. It builds docker containers better than docker does 😉

Docker containers are the new node_modules. We went from: > 500MB dependencies in package.json > To 2GB base images with Alpine Linux > To 8GB with "lightweight" Python ML stacks We're just moving the bloat around. Same shit, different abstraction layer.

@spicyofc I use @CignalsIo

"Which Orderflow tools do you use?" I recorded a quick 3 min video where I answer this question + I share some tips as well.

@heygurisingh Good thing @CloudSightAPI solved this long ago with custom transformer networks.

Holy shit... Stanford just proved that GPT-5, Gemini, and Claude can't actually see. They removed every image from 6 major vision benchmarks. The models still scored 70-80% accuracy. They were never looking at your photos. Your scans. Your X-rays. Here's what's really going on: ↓ The paper is called MIRAGE. Co-authored by Fei-Fei Li. They tested GPT-5.1, Gemini-3-Pro, Claude Opus 4.5, and Gemini-2.5-Pro across 6 benchmarks -- medical and general. Then silently removed every image. No warning. No prompt change. The models didn't even notice. They kept describing images in detail. Diagnosing conditions. Writing full reasoning traces. From images that were never there. Stanford calls it the "mirage effect." Not hallucination. Something worse. Hallucination = making up wrong details about a real input. Mirage = constructing an entire fake reality and reasoning from it confidently. The models built imaginary X-rays, described fake nodules, and diagnosed conditions -- all from text patterns alone. But that's not the scary part. They trained a "super-guesser" -- a tiny 3B parameter text-only model. Zero vision capability. Fine-tuned it on the largest chest X-ray benchmark (696,000 questions). Images removed. It beat GPT-5. It beat Gemini. It beat Claude. It beat actual radiologists. Ranked #1 on the held-out test set. Without ever seeing a single X-ray. The reasoning traces? Indistinguishable from real visual analysis. Now here's what should terrify you: When the models fake-see medical images, their mirage diagnoses are heavily biased toward the most dangerous conditions. STEMI. Melanoma. Carcinoma. Life-threatening diagnoses -- from images that don't exist. 230 million people ask health questions on ChatGPT every day. They also found something wild: → Tell a model "there's no image, just guess" -- performance drops → Silently remove the image and let it assume it's there -- performance stays high The model enters "mirage mode." It doesn't know it can't see. And it performs BETTER when it doesn't know it's blind. When Stanford applied their cleanup method (B-Clean) to existing benchmarks, it removed 74-77% of all questions. Three-quarters of "vision" benchmarks don't test vision. Every leaderboard. Every "multimodal breakthrough." Every benchmark score you've seen this year. Built on mirages. Code is open-sourced. Paper is live on arXiv. If you're building anything with multimodal AI -- especially in healthcare -- read this paper before you ship. (Link in the comments)

@TFTC21 Is that before tax, or after tax 😬

Jensen Huang: "If that $500,000 engineer did not consume at least $250,000 worth of tokens, I am going to be deeply alarmed. This is no different than a chip designer who says 'I'm just going to use paper and pencil. I don't think I'm going to need any CAD tools.'"

@CignalsIo @Mattlee987Matt @MMT_Official_ Whoa nice!

@bfolkens @Mattlee987Matt @MMT_Official_ correct, however, we do supply this info directly from $CME ;)

SPX500 just landed on MMT. Track and Trade! S&P 500 with real orderflow, liquidity insights, and execution all inside the Terminal. Crypto doesn’t move in isolation anymore. Welcome to cross-market trading. 🌎

@Mattlee987Matt @MMT_Official_ It's not real CME/CBOE data, just Hyperliquid contracts

@MMT_Official_ Why does it say 'K' on the footprint volume by price, in terms of no. of contracts traded we rarely get into the thousands trading the front month Future on CME let alone a new perp product.

@nqGexTrader @MMT_Official_ This ^^^

@MMT_Official_ It looks very cool but if data does not come from the options market (CBOE), this is just another naive flows tool. I use the options market to track Market Makers hedging dynamics

@ThePrimeagen This 👆🏻

I know I made a joke earlier but this is seriously concerning. I am not convinced it's ai, I think it's just accelerating this trend. The enshitification has been marching forward for years now and I hate it I know the rage is all about how you should do no typing, you should only use AI, and only luddites say anything different, but I urge you to practice programming and becoming an expert It is worth it

#northernlights #aurora in DeKalb, IL

@mitchellh @thekitze ghostty is my all-time favorite terminal by a long shot - nothing even comes close

Probably bait but thanks for trying anyways. :) Search is coming. You can rename tabs today (it’s in the menu bar and command palette). But none of that matters here, all that matters is you’re happy using whatever terminal you’re using and you gave it a shot. It’s not for everyone and that’s okay. ❤️

i decided to try GHoShtTTy instead of warp for like 1 minute ... no search, no colored tabs, no renaming tabs? straight to the trash even before i find out what other terminal features are missing. warp CLEARS

@donalt @cignalsio - order flow masters 🚀

My following list is from 2018 Shill me some good crypto Twitter accounts that I should be following please Preferably ones that don't pump and dump/have a paid group/promote things constantly

@KasumiKriss 1000%

Nose jobs are an affront to nature This is a big nose It’s supposed to be God knows how to make skulls

This is blasphemy. Stop making excuses for this. The Lord will not bless this, He will righteously judge this.

@BenjaminDEKR iask.ai is still up 🤷🏻‍♂️

ChatGPT, Claude, and Perplexity -- three totally different AI services -- are all down right now. What the actual F is going on?

@FunctionalUs iAsk.ai uses Elixir

Does anyone have any articles or use cases where Elixir has been used for Ai/Ml applications? More and more clients are asking for candidates with LLM experience and I want to understand a little more on why elixir works well

@_d3f4ult Kinda looks like Cignals.io pumpmap (cignals.io/pumpmap)

follow the money

@jimmysong Iask.ai is really good

Sunday Survey: Whose AI will be most popular (by revenue) a year from now?

businessinsider.com/andrew-ng-goog… #AI #ArtificialIntelligence

@jimmysong iask.ai

Sunday Survey: What search engine do you use the most?

@ElonMuskAOC Looks an awful lot like @elixirlang Nx and Axon logos…

Do you like the new X app logo?