CTO Co Founder Ozonetel

Joined January 2009
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Pinned Tweet
20 Jul 2020
Ok, today, I will be posting multiple videos of OpenAI GPT demos I built. All of them will be MIND BLOWINGLY GOOD. Because they are demos :) But seriously, OpenAI is good for prototypes. Follow this thread if interested. At the med of the day I will do an analysis.
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I just hope the US government deems Windows and Macos as a security risk and bans usage by non Americans. Linux FTW :)
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If the original Mags could do it, why wouldn't the original Telcos do it by going down the stack. We can gatekeep at that level itself.
Game theory from here is super interesting: Original Mags (Google, Amazon, Microsoft, Meta) now have a serious non-zero opportunity to tank the frontier labs. Go to the government, kneecap the labs’ motion of putting the latest models out in the wild, become the trusted gatekeeper between the labs and the public at large (including internationally) by having the labs go through their clouds (AWS, GCP, Azure) and implement strict KYC to seal the deal. The frontier labs should have seen this coming years ago and implemented a robust KYC for just this moment. The fact they didn’t is kind of concerning. Why did they not do it? Best guess is because it would have changed the run-rate revenues (downward) which would have then changed funding dynamics - lower valuations, more dilution, less secondary. A valuation reset may happen now anyways, except the labs may end up with less control and more restrictions at the end of it. At the same time, everyone is already clamoring about token prices of the old models from the labs anyways… This couldn’t be a better setup for open source and neoclouds. Big question is can they meet the moment? There are too few of them and their progress seems sporadic at best.
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I don't know, but for some articles I feel as if the author started writing and then for lack of time just asked an AI to fill it up :) Anyway, the point is valid, the gist seems to be : AI in India should focus on an "Action Economy," localized tools that automate specific daily tasks for individuals and small businesses. Indian workflows are unorganized and live in people's heads rather than digital systems, specialized models built on real-world actions will succeed. Agree with this. This was the foundational thesis behind the 1 lakh internships for data collection effort by Viswam. Have collected 40,000 hours of data. Need to push for a lot more.
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All of this does not matter. The simple fact is that it's now shown that government can step in and decide who gets access to what models. That's a huge flag. Every business and valuation should now take this into account.
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.
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Let's be clear about this. None of the existing folks can build a foundational LLM with their current setups. None of the folks in MEITY or government can also do anything about this. None of the VCs will fund anything close to a foundational LLM. All of them can just chatter and talk inane stuff. It's not gonna matter. If anyone of them could have done it, it would have been done by now. We still do not have a foundational LLM. The only hope, is for some breakthrough. Some new approach. By some new person. Ironically, it's all Ram Bharosa now.
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nutanc retweeted
the dangerous precedent we set here in anointing a national champion early on in this race is it completely kills competition and competition pushes the frontier If ant was born out of OAI then India needs at least 10 Sarvams.. Who is willing to be the Dario there?
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
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Vijay brings up a valid point. So if model access is limited by citizenship what does it matter where you are?
Was a big advocate of asking founders to be in valley. When you don't have access to frontier models then it doesn't matter whether you are Bay or BLR if your AI team isn't 100% US citizens. It's a sovereign issue for countries like India, competitive survival for startups.
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Why would India need to figure out how to wire 1B. A private company has to be funded by the tax payers now? Sarvam is in the fundraising process and if people find value in it, they will be able to raise the funds.
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
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This is still there in IIIT-H. Lots of interns are working even as we speak.
9 Jan 2025
Just got the space in IIIT-H for the Viswam initiative. We also got funding for 8 full time researchers and 10 part time researchers. The space from where frontier research will happen and we will launch stuff which will help the world :) Will do a proper launch soon.
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People talking about lack of compute, lack of researchers, for an India LLM it's actually the data that is scarce. IIIT-H along with Viswam is already working on it. We did not get the funds from the India AI mission. I think the main reason was it was meant for compute. Now that the US has blocked us, people are shouting. We have been saying this for the last 3-4 years. That is the reason we started Viswam. It was not meant for just building LLMs. The goal was to show a process for the global south as a whole. We still need it. Because of lack of funds we are still going slowly. Hope people come together faster and find solutions to this US AI problem.
26 Dec 2025
While working with Viswam in trying to collect data for Telugu I have come to realize that we are seriously short of digital data in Telugu. But why is that? Here are some reasons from my observation. I think one reason is that as a culture we are very oral. We "tell" bedtime stories instead of asking our kids to "read" bedtime stories. If we have to read, someone has to write :). We need to encourage more people to write. We should get our schools to ask students to write and put their writing online. Input devices are not that common. Kiran Chandra had done some pioneering work for Telugu fonts and now we have some good fonts, but good keyboards etc are still hard to find. I think this problem we can overcome by making voice as the default input and will tie into our oral culture. Culture should be freed up from monopolies. For decades we had only one male voice singing movie songs for which we can find recordings. So many singers and their voices, lost in the sands of time. Culture currently is stuck with a movie monopoly. Songs have to be part of movies. Stories see the light of day through movies. Every one is hidden behind the scenes and behind super stars. I know this is a big change, but it's possible now with phones and new distribution channels. We need to have our hangouts and our parties. I have hope on the younger generation. How many writers, singers, story tellers, comedians, philosophers etc are hidden delivering food. How do we tap them? How do we make them tell their stories and share their art. The voices of this generation and the previous generation have to be captured. This was the purpose of the 1 lakh internship program. We have had mixed results with it. Will share more details later. But if you want to participate in this effort, please reach out to Viswam.ai contact page. We will get in touch.
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Mohandas Pai has no clue about how to build a foundational model. He doesn't know of the advancements in research and open source models available. Don't listen to him about comments on this.
Stop making loose comments. A foundational model needs 50/60b $ Huge hyper cloud capacity with hundreds of billion $
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Mere paas maa hain!
USA has Claude USA has ChatGPT USA has Gemini USA has Grok China has Qwen China has DeepSeek China has Kimi China has MiniMax Europe has?
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Jun 13
Nilekani is the absolute wrong choice for the India AI mission based on the comments he has made earlier about India not building foundational models etc. We need a better leader with a more clear vision. Nothing against Nilekani, he is just not suited for this is my opinion.
PM @narendramodi Sir we need an India AI Mission under you with @NandanNilekani as vice chair and others from the private sector and govt. to Help India tackle the AI Revolution. We are way behind and need a national mission to get going quickly. Existing govt programs are too slow, way too small to make any large impact. We need an annual 50000 cr fund for deep tech and AI, a 200,000 cr ELGS Guarantee Fund to build Hyper cloud, hardware and chips. @AshwiniVaishnaw @nsitharaman @PiyushGoyal @FinMinIndia @RBI We need a Very Large National Mission. @AmitShah @amitmalviya
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Jun 13
What the US government moratorium on the AI models means: It's not that the US government wants model access only to US citizens so only they can build future solutions. It's not about the software industry at all. It's that the government has realized that in scraping and building models, the US government secrets are also embedded in the weights. So with the right prompting we can extract those secrets. Maybe they got a demo of what can be extracted and got shit scared. Maybe they were able to extract details even on warfare and bombs.
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Jun 13
Who will invest? Where is the money?
Claude Fable has been disabled worldwide. This is a sharp wake-up call for India. We must urgently invest in and build sovereign AI solutions right here at home. We’ve already outsourced our communication infrastructure to Meta. Let’s not repeat the same mistake with AI. Once Indians get a real taste of what AI can do, there’s no going back.
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Jun 13
This is a wake up call for every Indian founder. Move to open source models quickly. Have an escape hatch. Don't build dependence on the US models. You cannot build a business on top of these models. If the US government can stop a model being from used by non Americans, it's high time our government send out a notice so that our data is not sent to these models. We need to protect our data.
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Claude models is not affected. We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible. Read our full statement: anthropic.com/news/fable-myt…
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Jun 13
What a bunch of duffers :)
Jun 13
we are speedrunning creating the Zones of Thought from the Vinge universe. you will only be able to think superhuman thoughts in America
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nutanc retweeted
NEW blog post is up! "Has AI Already Killed How-To Nonfiction? Sales Trends, My Personal Data, and What It Might Mean for the Future" My head has been spinning after getting a spreadsheet roughly a week ago. Before we dive into my dirty laundry, let’s state the obvious: millions of people have a vague sense that AI is changing things. And LLMs sure are convenient for getting answers quickly. My team and I use Claude and other tools daily. But far fewer people have first-hand experience with the speed and intensity of disruption that’s happening. Not in a year, not in six months, but right now. So let me show you, using my own books as the cadaver on the table, what a fatality looks like. (Link below)
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Jun 12
For most of my use cases Mythos is not better than Opus. Opus is good enough. TBF, for more than 70% of my use cases Sonnet is good enough :) I don't use the model just because it is the best in some benchmarks. For me, using a model should result in some productivity at the least cost. So start with smallest model and try out step by step and choose the best and cheapest one.
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