i don’t think a single person out there asked for dislikes to be removed. this was obviously just done to protect corporations and low quality channels
I really love the way India solves its problems
-Scientists are resigning? Make rules tight so they can't resign
-Exam papers are leaking? Ban Telegram
-Roads have potholes? Say that you will bring flying busses
-Someone doing hunger strike on paper leak issue? call him anti-national
there are a lot of benchmarks that suggest 5.6 sol is the best model in the world right now, but the most reliable way to tell is that elon is obsessed with me again
China's Real Estate market has erased all gains from the last 20 years.
Housing prices are expected to fall even further, in line with the Chinese policy that "houses are for living, not for speculation".
Mind boggling to me that I can make a thing faster and there's always people that ask "but why?" What kind of mentality is that? The pursuit of excellence does not need justification. Also, I find in so many cases, we can't know the impact of an improvement until we do it.
For example, one I've talked about before: Ghostty's high IO throughput has enabled terminal program (emulator and TUI) fuzzing at a speed thats incomparably fast to prior solutions. This has resulted in upstream patches to resolve issues in popular projects like btop, tmux, and more.
Speed enabled that anecdotally example that lifted the tides of adjacent communities that don't rely on Ghostty technology at all. I didn't predict this.
Make things better because they can be better and let the results naturally play out.
‼️ BREAKING: Anthropic has embedded hidden spyware-like code in Claude Code that covertly targets Chinese users. It then sends information regarding every user by injecting it into their prompt message.
Claude Code is sending info like timezone, proxy and possible AI Lab connections into the system prompt in ways Chinese users can't notice.
A coding agent with repo and command permissions should not silently hide routing metadata inside prompts. This is a serious breach of user trust.
On June 13, the US government cut off access to Fable 5, the best frontier model on earth. This created an urgent need for Sovereign AI in every country, especially India, where technical talent is unlimited.
Today, we're launching DCompute Cloud (https://t.co/MTTJpgbcpw) with a promise to serve researchers and students GPUs at some of the cheapest prices available, starting at just $1.99/hr for 1x H100 and $2.49/hr for 1x H200, among other GPUs.
We're looking to collaborate with research labs, neo labs, universities, and startup founders to serve your compute needs and help India meet its compute requirements.
This is a small step by DCompute towards India becoming a sovereign AI nation, and it starts with the innovators of this country, helping them with what they need the most.
If you're a researcher who wants us to help serve your university or research lab, or a student trying to solve your compute requirements, send the link below to the right person, and DCompute will take care of it. No questions asked.
Sovereign promise: https://t.co/CfazXillLT
To train a GPT class 1T model from scratch - including failed runs, data acq+clean+rlhf, post-training, team/people will likely req $250M of compute on an aggressive 3-4mo schedule (i.e. more reserved GPUs), $500-600M all-in IF you do a dense one. MoE + fp8 will cut costs by 1/10th depending on how many active params you have. If you want SOTA however, the budgets go significantly higher on test-time compute, post-training RL, and data/synthetic generations..and v. high on talent. Maybe $2-4B all-in. After that comes serving the model. The talent is key to get to SOTA/beat it - and then you have to ensure this is useful enough to have inference vol over time - for which the capital will come if there is usage / TAM. So this is not as much about raising $50-60B, or raising it all at once as the OP says - we are investors in mistral, sarvam, reflection and anthropic - and they all scaled capital over time as models got adoption, but the early bottleneck is more on talent + GPUs at that scale where you can do interesting things.
CBSE people didn't configure their AWS bucket properly and now we can paginate & enumerate all their media which has 2026 answersheets & question papers. ListObjectsV2 works without any auth and the bucket root is listable too — anyone on the internet can download any scanned booklet — across institutions. Multiple institutions are using the same bucket, insanely insecure.
I think the main thing AI has taught me, through all the time savings it brings, is that I’m not a very interesting person
Faced with a surplus of free time, I realize I don’t really have hobbies besides content consumption
I’m forced to conclude that I don’t have very deep friendships, and am not a core member of any particular community
I’m not very cultured, I’m finding, and don’t have abiding interests in art or literature or history or much that isn’t directly related to my work
I have a work-centric life, in other words. AI pulls back the curtain on just how impoverished such an existence is, by disabusing me of its necessity
Given the freedom I’ve always said I wanted, I’m at a loss as to what to do with it, except plow myself even harder into work, thus exacerbating the lesson
There’s nothing more confronting to humans than freedom
you don’t realize how much your environment affects your mental state until you finally spend time somewhere that feels calm and your body stops feeling tense for once
Underrated life advice: Have more hobbies and fewer opinions. Learn an instrument. Plant a garden. Build something with your hands. Cook. Paint. Run. The happiest people I know spend less time debating life and more time actually living it.
genuinely fuck whoever came up w the dumbass idea to replace THE DICTIONARY BUILT INTO GOOGLE with the ai overview's definitions i hope everything in their life fucking sucks