I left IT for a trade. For several reasons, (AI was one of them but not the most pressing one). 1) I like AI. I have 12 apps in the app store right now. They are being used, (231 installs last week). But I can see the writing on the wall. IT jobs are not going away completely...

Compute: We were the first team in India to train at scale. We trained the sovereign models at the scale of ~3400 H100s. We are now putting serious capital behind the next step. India's first Blackwell cluster is now online and used by us, and we are building momentum towards operating 10s of megawatts in compute on Indian soil by 2027. Models: With Sarvam 105B, India's first sovereign model built from scratch, we showed that highly capable models can be trained here, independently. More importantly, the capability is now compounding across data, training, evaluation, systems, alignment, and deployment intuition. And we are scaling up to trillion-parameter class models, with larger runs built for coding, agents, and security. A coding model is coming soon... Inference: We already host our own models, with third party usage tripling in the last three months. We are soon taking live a production-grade token factory with the price, throughput, latency, reliability, and governance that banks, governments, enterprises, startups, and developers need for real systems. Products: Our products are now reaching India scale. Voice was our first wedge. It powers millions of interactions per day, doubling in the last three months, while we continue to optimise costs. Like voice, another modality at scale in India is documents, and we are hitting exponential growth of our new document intelligence product. Our fully managed agents product is live with enterprises and is being launched for all next month. Deployment: Most of the value in AI is unlocked in the last mile. We learned that by doing it across engagements in enterprises, government, and strategic sectors. Now we are turning that learning into a platform that allows every organisation to hill climb on its own use cases - whether it is building an agent, customising the harness, creating the data/tool backbone, or finetuning the model on custom data. Talent: Serious researchers are joining us across pretraining and RL, including people who have done meaningful work at the frontier. We are also starting our San Francisco office as the conduit for frontier AI ambition for India first, then the world.

World Cup tourists have discovered New Jersey deli:

not a single person on this list was born a billionaire the world that i want to build, live and vote for is a where this will continue to be true every generation, except the numbers keep getting larger

the spacex ipo irks libs because they think meritocracy is a lib thing and it turns out meritocracy doesn’t actually exist and the closest thing thing to actual meritocracy is capitalism and they’re bad at it because it rewards risk-taking not credentialism

The Whole Truth’s “no added sugar” labelling on been changed to “sweetened with dates”. LEARNING: 1. Words can be truthful, yet never reveal the reality. 2. What we don’t say is as important as what we say.

can’t use claude because i’m australian,, too fruity for codex… please albanese, we need a sovereign mythos Immediately

Told a guy at the airport who broke the line, that there was indeed a line. First he pretended like there was no line. Then said I should complain to the airline. When I asked the lady at the counter why she didn’t tell him, she says “bola sir, kya karein, sunte nahi hain”. I told him to have some courtesy and some sense, so he proceeds to tell me I should go teach in a school, not him. Such folks travel abroad, and then give India a bad name!

90% DINK or SINK couples by choice in 30s will be feeling purposeless and lonely in 40s. In 30s, you are young, newly married, a lot to explore about each other, you'll have friends who are either single or newly married, you can have company with similar types of people. But as time passes, things get boring, your friends become parents, their priorities change, they're no more pack the bag and let's travel the world, they are now busy in dropping kids to school and bringing them back home, their travel schedules dependent on their kid's school schedule. And suddenly you start feeling lonely, purposeless in life, you don't know why you're earning, where to spend and all. Human is a social animal as they say, you can't live in isolation and be happy forever. Don't fall for instagram DINK couples life, that works only on Instagram and that too for a limited time.

India’s problem is not having enough opinionated founders.

Dear Indian Corporates, dump Microsoft 365, embrace Zoho One to support and preserve tech Sovereignity.

I’ve had a number of conversations with folks inside and outside government about the current situation with Anthropic, and here is what I believe to be true: — As we know, Anthropic publicly released its Mythos class models earlier this week under the commercial name Fable. — Fable is Mythos with guardrails. But if those guardrails fail, then you’ve exposed Mythos and its advanced cyber capabilities to people who shouldn’t have them. (Keep in mind that Anthropic itself widely promoted the idea that Mythos was a cyberweapon and needed to be regulated as such. They asked for government regulation of Mythos and championed the guardrails on Fable. If there is a vulnerability — big or small — it is Anthropic’s responsibility to patch.) — A highly credible trusted partner of both Anthropic and the USG who was testing Fable came forward with a jailbreak of those guardrails. The Admin asked Dario to fix the jailbreak or de-deploy the model. Dario refused. — In their blog post, Anthropic defended its decision by saying the jailbreak isn’t serious. That is not what the trusted partner and the USG believe; nor is that kind of minimizing language consistent with Anthropic’s brand as the AI safety company. It’s difficult to fathom how they could claim a jailbreak allowing operability of a cyber weapon could be defined as not “serious.” — In the past, Anthropic has always said that safety must be top priority and taken super seriously. In this case, Anthropic prioritized the continued offering of the consumer model over safety. — In reaction, the Admin issued the export control. The Admin did this reluctantly. It’s been very surprised that Anthropic hasn’t wanted to cooperate with a reasonable safety request (ie fixing the jailbreak issue). Anthropic’s reaction is very much at odds with their branding and ethos as a safe AI research community. — The Admin’s hope now is that Anthropic remediates the safety issue, the export control is lifted, and Fable goes back into general release. The Admin wants all of this to happen as soon as possible. It is frankly bewildered that Anthropic hasn’t wanted to comply with safety requests that it previously said were its highest priority. — Those trying to misdirect and tie this action to the prior DoW/Anthropic issues are wrong. The Admin values Anthropic’s technical capabilities and feels that this issue, while serious, should be easily resolved. The ball is in Anthropic’s court.

India needs to figure out how to wire 1B to @SarvamAI asap to train models. Similar to #nuclear the world will divide into countries that have #recursiveselfimprovement vs countries that don’t. This is as important as #Pokharan was @TrivediVedant @aaditya @Sid_1_0 @AjeyGore

we are speedrunning creating the Zones of Thought from the Vinge universe. you will only be able to think superhuman thoughts in America