Image created with Flux Pro v1.1 Ultra. Image prompt: Assembly instruction diagram for a submarine periscope with optical components, vintage technical manual style, navy blue and brass colors, aged technical paper texture, “DEEPSEEK” in military stencil font, lens alignment guides, depth markings included
deepseek-ai/DeepSeek-R1-0528 · Hugging Face https://huggingface.co/deepseek-ai/DeepSeek-R1-0528
DeepSeek is aiming for the king: o3 and Gemini 2.5 Pro https://x.com/i/web/status/1928067335014793526
On GPQA Diamond, a set of PhD-level multiple-choice science questions, DeepSeek-R1-0528 scores 76% (±2%), outperforming the previous R1’s 72% (±3%). This is generally competitive with other frontier models, but below Gemini 2.5 Pro’s 84% (±3%). https://x.com/EpochAIResearch/status/1928489527204589680
OFFICIAL BENCHMARKS OUT – we have a new open source frontier approaching O3 and Gemini 2.5 Pro 🔥🔥🔥 https://x.com/i/web/status/1928054949247693219
Meta shuffles AI, AGI teams to compete with OpenAI, ByteDance, Google https://www.axios.com/2025/05/27/meta-ai-restructure-2025-agi-llama
On SWE-bench Verified, a benchmark of real-world software engineering tasks, DeepSeek-R1-0528 scores 33% (±2%), competitive with some other strong models but well short of Claude 4. Performance can vary with scaffold; we use a standard scaffold based on SWE-agent. https://x.com/EpochAIResearch/status/1928489533886058934
Inference providers aren’t sleeping on the switch. https://x.com/fdaudens/status/1927834963509961041
DeepSeek’s R1 leaps over xAI, Meta and Anthropic to be tied as the world’s #2 AI Lab and the undisputed open-weights leader DeepSeek R1 0528 has jumped from 60 to 68 in the Artificial Analysis Intelligence Index, our index of 7 leading evaluations that we run independently https://x.com/i/web/status/1928071179115581671
0528 looks at the big picture… The sycophancy is really too much https://x.com/teortaxesTex/status/1927895061452210456
DeepSeek-R1-0528 just dropped on Hugging Face https://x.com/_akhaliq/status/1927790819001389210
DeepSeek: DeepSeek V3 0324 – Provider Status | OpenRouter https://openrouter.ai/deepseek/deepseek-chat-v3-0324/providers?sort=latency
In case you didn’t catch this – if you make this one simple change to the chat template, you can switch on and off reasoning in @deepseek_ai”” / X https://x.com/i/web/status/1927892447809454455
R1-0528 is out!🎉 https://x.com/i/web/status/1928084342732939642
Plus 13,8% on Aider Polyglot It’s almost like DeepSeek has explicitly stated that they will overhaul RL for coding in the conclusion of R1 paper in January. https://x.com/i/web/status/1927940397872947599
🚀 DeepSeek-R1-0528 is here! 🔹 Improved benchmark performance 🔹 Enhanced front-end capabilities 🔹 Reduced hallucinations 🔹 Supports JSON output & function calling ✅ Try it now: https://x.com/i/web/status/1928061589107900779
DeepSeek dropped DeepSeek R1 v2 this morning! We at Hyperbolic Labs now serve DeepSeek-R1-0528, the first inference provider serving this model on @huggingface. My vibe check: It seems to be the only model that consistently answers “”what is 9.9 – 9.11?”” correctly. 🐋 To whale: https://x.com/Yuchenj_UW/status/1927828675837513793
DeepSeek has maintained its status as amongst AI labs leading in frontier AI intelligence https://x.com/i/web/status/1928071183276159117
DeepSeek has released DeepSeek-R1-0528, an updated version of DeepSeek-R1. How does the new model stack up in benchmarks? We ran our own evaluations on a suite of math, science, and coding benchmarks. Full results in thread! https://x.com/EpochAIResearch/status/1928489524616630483
DeepSeek’s R1 update consolidates the lead of 🇨🇳 Chinese AI Labs in open weights intelligence https://x.com/i/web/status/1928226455424528519
Happy to share 💭 Mixture of Thoughts 💭 A curated, general reasoning dataset that trims down over 1M samples from public datasets to ~350k through an extensive set of ablations 🧑🍳 Models trained on this mix match or exceed the performance of DeepSeek’s distilled models — not https://x.com/_lewtun/status/1927043160275923158
Hey guys! We noticed some of you sharing screenshots and links to our DeepSeek-V3-0526 article on @UnslothAI. The link was hidden and wasn’t meant to be shared publicly or taken as a fact but it seems a few of you were scrapping through the site and uncovered it early! 😅 The”” / X https://x.com/danielhanchen/status/1926966742519091327
Now imagine DeepSeek R2 The 150IQ Tsinghua grads are about to outsmart the 120IQ MIT midwits https://x.com/i/web/status/1928073407943319588
Ollama can now think! 🤔🤔🤔 For thinking models, and especially useful for very thoughtful models like DeepSeek-R1-0528, Ollama can separate the thoughts and the response. Thinking can also be disabled! This is useful for getting a direct response. This works across https://x.com/ollama/status/1928543644090249565
Live in Cline: DeepSeek-R1-0528 It’s showing significant benchmark gains, now matching OpenAI o3 in reasoning tasks (key for Plan mode). We’re excited to observe how these improvements impact real-world coding performance in Cline. https://x.com/i/web/status/1928140455923044636
There will be DeepSeek R1 0528 Qwen 3 8B too matching Qwen 3 235B Thinking in performance too 🤯 Whale COOKED! https://x.com/i/web/status/1928058862923391260
DeepSeek R1 05-28 LiveBench results: – 8th in the Overall ahead of o4-mini, Gemini 2.5 Flash Preview and Qwen3-235B-A22B (biggest competitors) – 1st on Data Analysis !!! – 3rd on Reasoning !! – 4th on Mathematics ! – 11th on Language – 20th on Instruction Following – 23rd on https://x.com/i/web/status/1928173385399308639
Deepseek MLA is afaik the first attn variant that can hit compute-bound regime during inference decode, thanks to high arithmetic intensity (~256). If you’re paying $30k for an H100 and only max out the mem bw and not the FLOPS during inference, you’re leaving $20k on the table.”” / X https://x.com/tri_dao/status/1928170652516725027
We made dynamic 1bit quants for DeepSeek-R1-0528 – 74% smaller 713GB to 185GB. Use the magic incantation -ot “”.ffn_.*_exps.=CPU”” to offload MoE layers to RAM, allowing non MoEs to fit < 24GB VRAM on 16K context! The rest sits in RAM & disk. Quants here: https://x.com/danielhanchen/status/1928278088951157116
Deep Seek R1 Qwen3 8B knows it’s overthinking it 😂 https://x.com/i/web/status/1928119439737729482
The 4-bit DWQ of DSR1 Qwen3 8B is up on HF. Use the command below or use it in @lmstudio: https://x.com/awnihannun/status/1928125690173383098
Meta understood that copying DeepSeek piecemeal is not working, and decided to copy the org structure, creating an internal AGI division. a cruel rhyme from Russian school program comes to mind “”And you, my friends, no matter your positions, Will never be musicians!”” https://x.com/i/web/status/1927944123358581182
Just a few minutes later & the updated R1 is already available on some of our inference partners. All on the model page – beautiful! https://x.com/ClementDelangue/status/1927825872221774281
