Image created with gemini-3.1-flash-image-preview with claude-opus-4.7. Image prompt: Using the provided reference images, keep the authentic Sonoran Desert trail setting, midday Arizona lighting, saguaro, volcanic rock, and brown wooden ranger signpost construction with bold ranger typography, but change the sign header to ‘INTERNATIONAL’ in bold all-caps with two or three fictional trail entries like ‘Brussels Accord → 4.2 mi’, ‘Beijing Ridge → 7.8 mi’, ‘Geneva Saddle → 2.1 mi’, and weave a short string of small weather-faded international flag pennants naturally between the signpost and a nearby palo verde branch. Keep everything photorealistic and plausibly real, no floating objects, with the wide desert valley visible behind the sign.
How much AI compute has been smuggled to China? We estimate between 290k and 1.6M H100-equivalents by the end of 2025 — representing ~20% to ~60% of China’s total compute.
https://x.com/EpochAIResearch/status/2049924785153638761
China approves brain chip to overcome paralysis | Nature Biotechnology
https://www.nature.com/articles/s41587-026-03101-8
I have been testing DeepSeek-V4-Pro with the Pi coding agent. I am mindblown by how well it works out of the box. A few notes: I spent a few hours building an LLM wiki with an agent powered entirely by DeepSeek-V4-Pro on @FireworksAI_HQ inference. This is the first time I
https://x.com/omarsar0/status/2050009901234282649
FT: DeepSeek is in talks for its first fundraising round at a valuation of around $45 billion. FT: China’s largest state-backed semiconductor investment fund, which has invested in YMTC and CXMT, is in talks to lead DeepSeek’s fundraising round.
https://x.com/jukan05/status/2051904572038455634
Introducing nanowhale 🐳! A tiny DeepSeek model fully pretrained by an agent. Inspired by @karpathy’s nanochat, we gave ml-intern the task of training a tiny MoE with all the architectural advancements of DeepSeek v4. To test it end-to-end, it trained a 100M-parameter MoE
https://x.com/cmpatino_/status/2051343930373837125
There’s a serious gap in multimodal models – they work with images, but still reason in language, which isn’t that precise for visual stuff. @deepseek_ai just dropped an idea to solve this: let the model literally point to exact locations in the image while it thinks. They call
https://x.com/TheTuringPost/status/2050597658423927134
Welcome to DS4, a specialized inference engine for DeepSeek v4 Flash.
https://t.co/UrUJz5I2R1 This project would have been impossible without the existence of llama.cpp and GGML and the work of @ggerganov and all the other contributors. Thanks!
https://x.com/antirez/status/2052405820235678175
will be very funny if DeepSeek-Vision crushes V4-Pro on ARC-AGI-2 solely because it has some semblance of spatial reasoning
https://x.com/teortaxesTex/status/2049947128189923625
👀 DeepSeek briefly released (then deleted) a vision model tech report — what did it reveal? 👀 Zhihu contributor 刘聪NLP breaks it down: Core idea: 👉 A new multimodal reasoning framework that embeds spatial pointers (boxes & points) directly into the chain-of-thought • The
https://x.com/ZhihuFrontier/status/2050238000433659958
DeepSeek V4–almost on the frontier, a fraction of the price
https://simonwillison.net/2026/Apr/24/deepseek-v4/
A tech worker in China is laid off and replaced by AI. Is it legal? : NPR
https://www.npr.org/2026/05/01/nx-s1-5807131/tech-worker-china-ai
Notes from inside China’s AI labs – by Nathan Lambert
https://www.interconnects.ai/p/notes-from-inside-chinas-ai-labs
Kimi Chatbot Maker Moonshot AI Valued at $20 Billion in Meituan-Led Round
https://finance.yahoo.com/sectors/technology/articles/kimi-chatbot-maker-moonshot-ai-032926690.html
DeepSeek v4 pro (max) scores 48.9% on WeirdML, improving on v4 pro (high) at 46.5%, but still well behind Kimi-k2.6 and GLM-5.1 at 56% and 57%, let alone the closed frontier. These runs, like the previous ones, were through Fireworks AI.
https://x.com/htihle/status/2052042076196335658
All three leading open weights models were released last week. Progress continues for open weights models alongside proprietary ones, with the gap to GPT-5.5, the leading proprietary model, sitting at 6 points on the Artificial Analysis Intelligence Index @Kimi_Moonshot’s Kimi
https://x.com/ArtificialAnlys/status/2050096370200281539
Hello again, everyone! Our latest Qwopus3.6-35B-A3B-v1 is now live, and it is once again breathtaking! Full HF space benchmark showcase and write-up is in the comments, so you can make conclusions for yourself! GGUF Link below! We had some issues to fix in our training with
https://x.com/KyleHessling1/status/2052064943999267212
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