Could you share your traces and the resulting model on HF? Would be super interesting
AI
-
User finds GPT ImageGen-2 excels at generating text, slides, and academic papers
By
–
is there a clear source on the jury’s role is here?
-
Proactive AI Governance at Scale in Financial Services
By
–
Governing dozens of models is a process. Hundreds is a different problem. @DominoDataLab
's Nicholas Goble breaks down what proactive AI governance looks like in FSI. Learn why the firms getting it right don't wait for regulators. Silicon UK: -
Dense Attention: A Technical Direction in AI Models
By
–
All related to dense attention, can be considered the same direction, with the same approaches.
-
LLM pricing per token mirrors SaaS era, buy a GPU
By
–
Charging $ per 1M tokens
Is basically the SaaS era of LLMs That’s why I keep saying Buy a GPU -
Neurosymbolic AI Development with Logic, Calculus, and LLMs
By
–
I create Neurosymbolic AI using first Oder logic and predicate calculus alongside our own agentic AI stack and LLMs. @pierrepinna
-
Sparse Attention and Large Context Windows: An Industry Shift in AI Models
By
–
确实很酷，拿 2900 万美金做 12M context，
— 艾略特 (@elliotchen100) 5 mai 2026
侧面证明了一件事：整个行业都开始相信稀疏注意力是 dense attention 的解药。
SubQ 走的是「重训一个模型」，属于垂直整合，风险大回报也大。@evermind 的 MSA 走的是「给主流模型加记忆」，属于 水平嵌入，谁的模型都能用。
另外，SubQ API 跟 SubQ… https://t.co/yZ8IugqquAYeah, that's pretty cool—using $29 million to build a 12M context window, which indirectly proves one thing: the entire industry is starting to believe that sparse attention is the antidote to dense attention. SubQ takes the "retrain a single model" approach, which is vertical
-
Builders Share Feedback on GPT-5.5 After Weeks of Testing
By
–
Excited for 5:55 tonight! Wish we had room for everyone. We’ll host more builder events soon. Also curious what you all think of GPT-5.5 after building with it for a couple weeks!
-
GPT-5.5 Boosts Contributions Across All OpenAI Teams
By
–
And @AaronFriel, who works on engineering acceleration at @OpenAI.
— Romain Huet (@romainhuet) 5 mai 2026
From his view, GPT-5.5 is changing far more than backend work:
“We’re not just seeing an increase in contributions from engineers and researchers, but from everyone across the company.” pic.twitter.com/jdOY6bsD0pAnd @AaronFriel
, who works on engineering acceleration at @OpenAI
. From his view, GPT-5.5 is changing far more than backend work: “We’re not just seeing an increase in contributions from engineers and researchers, but from everyone across the company.”