Log inSign up
antirez
43.7K posts
antirez profile banner
@antirez

antirez

@antirez
Reproducible bugs are candies. I like programming too much for not liking automatic programming.
Sicily, Italy
invece.org
Joined May 2007
801
Following
80.4K
Followers
RepliesRepliesRepostsRepostsMediaMedia

Log in or sign up for X

See what’s happening and join the conversation

Continue with phone
or
Log in with username or email
Terms·Privacy·Cookies·Accessibility·Ads Info·© 2026 X Corp.
  • Pinned
    @antirez
    antirez
    @antirez
    Nov 22, 2023
    My second short story release in English is ready: Tales of Illustrious Computer Scientists: Iola Varga, nun and computer scientist. invece.org/iola.html
    17
  • @antirez
    antirez
    @antirez
    42m
    Interesting model, not a total jump forward compared to 4.0 Flash since it is 2x the params in the backbone, but definitely better. Not a fit for 128GB systems, so a local model for the very few with 2x128GB systems or big Mac Studio systems. About supporting it in DwarfStar:
    @deepseek_ai
    DeepSeek
    @deepseek_ai
    3h
    🚀 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
    Image
    11
  • @antirez
    antirez
    @antirez
    22h
    Why Terence Tao is wrong on AI + Math. A thread: 1. Net negative is factually false. After a proof or disproof we know strictly more than before. No opaque process reduces the set of knowledge we have. About the human math trajectory "net negative" read the next points.
    36
  • @antirez
    antirez
    @antirez
    Sep 8
    I finally merged in DwarfStar a great feature from @rowantrollope where the agent can provide you hints and make the programmer a more active part of the process that learns new things in the process. /hints on
    Image
    12
  • @antirez
    antirez
    @antirez
    Sep 8
    That's an incredibly narrow view. If AI can solve something earlier it can also be used in order to study understandable steps towards the solution faster. You are a lot more adjecent to what you seek if you already have a solution you can model, simplify, study.
    Image
    31
Advertisement
Advertisement