What I find annoying is that everyone celebrates how cheap Engram is but nobody wants to ask "is Engram any good tho?" Like, you're not getting a free offload of FFNs to DRAM. How much does it add to modeling?
I trust DeepSeek, but that's me. Does… everyone just trust them?
🫡梁文峰在记忆层动了手脚!为什么bDeepSeek V4.1 Flash 又便宜又强?!不是堆了更多显卡,是把“背课文”从 GPU 里拆走了!
V4.1 Flash 的 Engram 把常见词组变成查表,不该算的不再占显存。
SemiAnalysis 拆完记忆层,卡上的数字更刺眼:
🔹输入只激活 80 亿、输出 160 亿,剩下约 1960 亿是查找表
🔹浅层记物体,深层记关系,熟词组直接查,推理留给模型
🔹表只看 token ID,能扔进内存;B300 上从 TP4 降到 TP2,性价比最高抬约 1.6 倍
🔹4 张 GB300 把表卸到主机后,KV 容量还能再涨约 36%
🔹B200 上内存卸载打赢 SSD:同等体验附近,每美元总 token 约 1.21 亿对 5200 万
🔹双机 GB300 上,预填充能到约 5.6 万 token/秒,单用户解码约 253 token/秒
便宜来自少算、少占 HBM;
强来自该查就查、该算就算。
显存带宽比显存容量更值钱。
#DeepSeek #V41Flash #Engram #HBM #B300 #GB300 #SemiAnalysis #梁文峰 #梁圣
罗杰斯 retweeted
wow, that's actually very careful designed architecture.
Most of the CSA Full layers and Engram are in the encoder phase, and mostly the decoder uses indexer share modules.
Using mostly encoder outputs as KV cache, which constitutes to 50% of layers makes it run faster. This is super smart!
罗杰斯 retweeted
Introducing Lexanon.
Legal work involves highly sensitive information, yet using AI on those documents still often means giving up some control over confidentiality, data flows or providers.
We built Lexanon around a different approach.
罗杰斯 retweeted
Holy shit have y'all seen Anthropic ARR?
As measured by last 1 hour at 2PM times 8760 – at San Francisco, CA
罗杰斯 retweeted
Replying to @bubbleboi
This isn't a chip. It's a video of a wooden box getting forklifted combined with name dropping and a narrative about some alleged chip without any details.
Introducing GLM-5.3: Built to Code. Ready for Cyber Defense.
- Top-tier coding and agentic capabilities, achieved through post-training on the 743B base model
- A major leap in cybersecurity, setting a new standard among open models
Tech Blog: z.ai/blog/glm-5.3
罗杰斯 retweeted
am i insane or is that a straight motherfucking line
Gemini 3.7 Flash (High) has reshaped the Pareto frontier in the Code Arena: WebDev and Text Arena!
With a score of 1588 pts in the Code Arena: WebDev, it's priced at $0.75/ $3.75 per MToken. See Text Arena in the post below.
Congrats to the @GoogleDeepMind team!
罗杰斯 retweeted
Hugging Face is so cooked xitter.cf/OpenAI/status/20879477…
罗杰斯 retweeted
It used to be the case that reviewing a contributor's PR was a form of "investment" in that contributor. They'd learn from your feedback, grow, take it into account for future contributions, etc.
Unfortunately with agents I feel that's largely gone.
罗杰斯 retweeted
We'll be right back to the age of scaling after a quick word from our sponsors over at the age of research
🤖 Made with AI
We are announcing a long-term strategic partnership with NVIDIA. NVIDIA is making a substantial investment in SSI that will let us 10x our compute in the next 12 months. We reached the point where our research is worth scaling and with this partnership we will be able to. We are honored by NVIDIA’s conviction.






























