Introducing Xiaomi MiMo-V2.6 — Pro & Flash.
Frontier intelligence, all the modalities, built in public.
🔹 Two omnimodal models, advancing through scaled reinforcement learning
🔹 Pro performs on par with Claude Opus 5 and GPT-5.6 Sol across most agent benchmarks
🔹 Pro scores 46 on the Artificial Analysis Intelligence Index — the highest among open-source models
🔹 Stronger coding, computer use, 3D reasoning and creative capabilities
🔹 Open model weights, technical report, RL environments and training code
Blog:https://t.co/JGdwC9Ymvj
@DarkByteCodes@ni5arga Whats the point of getting in any branch when most of them still apply for some CS/IT related jobs
You took core branch, work in that domain, why lurk around
india keeps rewarding mugging up PCM and then wonders where the hackers went.
JEE is not computer science. GATE is not cybersecurity. rank is not competence.
our examination fetish is killing technical talent:
https://t.co/JEYRJaetEi
Meet Qwen-Image-2.1, the most balanced and cost-effective image generation model in the Qwen-Image series! Now open weights! 🎨
A unified model for both generation and editing, delivering top-tier quality in a lightweight package.
Highlights: 👀
- Compact & exceptionally fast: A lightweight 7B architecture that outperforms most closed-source models, with drastically accelerated inference for multi-image inputs.
- Native transparency: Natively generates and edits RGBA layers, enabling seamless compositing and text editing within transparent images.
- Versatile, high-fidelity editing: Supports up to 10 reference images and precise local control while preserving strict fidelity for portraits and products.
- Broad coverage & stunning aesthetics: Excels at panoramas, infographics, and virtual try-ons, delivering realistic textures and elegant typography.
Start to create your next masterpiece with Qwen-Image-2.1! 🖼️
- Blog: https://t.co/tVntKOi7jy
- GitHub: https://t.co/cRj66wCrWr
- Model Scope: https://t.co/64d7Ix6YFR
- Hugging Face: https://t.co/njHSBXUbVS
Straits Taylor Rule:
i = r* + π* + 1.5(π−π*) + 0.5(y−y*) + α(SOH−SOH*) + β(BEM−BEM*), α,β > 0
Let’s see if a hike could open SOH or produce a single barrel :)
You can’t 25bp a chokepoint and r* isn’t neutral. It’s SOH risk premium, and We set it.
Stay unanchored !
lo que admiro de los chinos es que invierten su tiempo haciendo INGENIERÍA y mejorando sus modelos.
no le dicen a la gente que se cambie de trabajo, ni pierden el tiempo hablando sobre "AGI".
se enfocan en mejorar su tecnología sin recurrir al miedo como estrategia de hype y marketing.
están en otro nivel.
If you’re a researcher who uses Claude Code or Codex for your daily work, consider using open models instead.
Recent events have shown why owning the entire stack is so important. While OpenAI and Anthropic currently offer the strongest models, using them means working on their terms. OpenAI and Anthropic have shown they are not afraid to alter model output, service, and access if user interests conflict with their business interests.
OpenAI:
- Sep 2026: accused of using Codex data from Buckmaster and Alpöge to race to a solution to Navier-Stokes using their massive compute advantage. OpenAI later admitted that they “cannot rule out that de-identified data derived from their usage of our products helped improve our models”.
- Aug 2026: announced removal of all OpenAI models on Cursor after their SpaceX acquisition
- Dec 2025: injected ads into ChatGPT conversations, even for users paying $200/mo subscriptions
Anthropic:
- Jun 2026: launched Fable 5 with safeguards that limit Claude’s effectiveness at ML research tasks through interventions that are not visible to the user
- Apr 2026: removed subscription coverage for third-party tooling such as OpenClaw and Pi
- Jan 2026: cut off xAI engineers’ Claude access in Cursor
The only way to protect yourself from these kinds of interventions by the labs is to own the model, the tooling, and the data. This is particularly important for researchers, who often work on confidential projects and with sensitive data.
You should do research on your terms, with tools you control and work that remains yours.
🚀 Introducing DeepSeek-V4.1-Flash: smarter, faster, more efficient.
🔹 Introducing the smallest model in our new architecture family, with native visual understanding.
🔹 Designed for greater capability, faster inference, higher throughput, and scaling to larger models.
1/6
go fuck yourself @sama
claiming that you solved navier stokes because 10000 agents ran in circles for 88hours on a multimillion dollar gpu cluster to formalize in lean a blowup case under controlled external forcing is pure scientific vulgarity the clay mathematics institute millennium prize does not ask m whether you can artificially force a singularity in a fluid by injecting an ad hoc smooth external forcing term f(x,t) to twist the vortex until it breaks the real problem questions the fundamental stability and global smooth existence for 3dimensional incompressible euler & navier stokes equations under natural conservation laws and viscous dissipation alone using a mathematical loophole on forced equations to parade a century old victory is a major conceptual scam Altman
technically & epistemologically what you present as an agi breakthrough is nothing more than bruteforce combinatorial autoformalization the ai did not understand fluid mechanics it simply navigated a continuous search space previously mapped out and constrained by the monumental work of human mathematicians like tristan buckmaster/ levent alpöge / diego córdoba or tarek elgindi coordinating 10000 agents to check the logical consistency of a 100 page proof via lean is a software engineering feat and computational parallelization triumph not an intrinsic scientific discovery it is the victory of the compute bulldozer over abstract human intuition repackaged for the public as a higher mathematical consciousness
to this theoretical imposture you add a disgusting ethical and industrial cynicism taking advantage of private codex sessions and informal preprints from academic researchers to siphon their research leads and then trying to redact or erase the contribution of levent alpöge under the pretext that he works at rival anthropic is intellectual serfdom openai behaves like a feudal lord of silicon appropriating the cognitive subsistence of independent scholars threatening their careers behind closed doors if they protest and turning community academic labor into a privatized pressrelease
this entire staged event serves a desperate financial agenda in a pre ipo panic facing the slowdown of scaling laws and growing investor skepticism over the profitability of foundational models openai needs to manufacture an artificial sputnik moment claiming to solve a millennium prize without immediately submitting the proof to traditional peer review means using the prestige of fundamental mathematics as cheap marketing fuel to inflate a delusional valuation!!!
real science is not a clout chase on social media or a compute spike spent to rob the clay mathematics institute it is a quest for elegance physical truth and universal rigor to decode reality true artificial intelligence will not emerge from hostile corporate takeover of academic work hidden behind computational bruteforce but from architectures capable of generating new conceptual paradigms by masquerading constrained formalization as the collapse of physics greatest mysteries you did not solve navier stokes you only proved how far silicon valley will go to prostitute scientific integrity for capitalist spectacle