2326 cups of coffee = The world's first low-code & meta-prompt based AI Assistant platform After a yr of coffee drinking and some coding, we are happy to announce the beta launch of our biggest update to Conva.AI Signup @ conva.ai #AIWithoutDrama

Below is all that matters. Everything else is just narrative, to whoever it suits best. - DeepSeek is an incredible feat in the evolution of AI, the next big inflection point after ChatGPT released in Nov 2022. - They have proved once again what we have known forever: in AI, talent over everything else. It was the very reason a non-profit lab called OpenAI was put together in 2015, to assimilate the best research talent to take on Google. DS has played the exact same move against OAI a decade later. - The difference this time is that the talent is not what you would typically think AI Research, but rather a crack team of software engineers, infra architects, mathematicians and DevOps. This IMO is as significant a moment as anything else, that to build great AI models you no longer need to compete for limited expensive AI talent ($1-5m salaries). - This would not have been possible without decades of AI research compounding, and without OpenAI o3 already being out there. DS used AI to generate data to build best in class AI. The hilarious part is OpenAI still makes a unit loss on their inference, which means DS caused them losses in more ways than one! - Even if DS is fabricating the costs, the paper proves it is still an order of magnitude cheaper than anything else so far of similar quality. This will lead to an explosion of more teams & companies building models, and many will play in specific niches. This is a very very good thing. - As a result, the eventual demand for compute will still stay in a similar range, or maybe even to up because so many players will now get into the game. Jevons Paradox in full action. - Cheaper models will lead to cheaper inference. Cheaper inference will lead to startups using AI for all sorts of things for both building products and internal tools. Cost of company building will go down and the one person $1b enterprise that Sam has talked about is no longer a pipe dream. - This also has implications on Venture Capital in AI. IMO there will be small funds and then very large funds. A $1m seed can now probably take you very far, even profitability. And then you need serious growth capital for world dominance. Good time to be in private equity. What a time to be alive, and fortunate to be working in this industry. Time to put India on the map! 🚀🇮🇳

Here we go. IndiaAI Mission invites proposals from startups, researchers and entrepreneurs to build state-of-the-art foundation models for the country. The models can be Large Language Models (LLMs) or Small Language Models (SLM), across multimodal text, voice or video. They must be indigenous AI models that align with global benchmarks, while addressing unique Indian challenges such as cultural, linguistic & societal context. Everyone is welcome to apply, multiple proposals will be selected with the goal of having SOTA ready India models by the end of the year. Proposals need to be sent to tenders[at]indiaai[dot]gov[dot]in. Time to put India on the map! 🚀🇮🇳 @OfficialINDIAai @GoI_MeitY indiaai.gov.in/article/call-…

RIP #RatanTata You are an inspiration wherever you are 🙏 #OmShanti

Oops! We messed up our data collection! 😅 What started as fast feature-building turned into a data swamp. We cleaned it up with sentinel states, smarter data flow, and a defined schema. Plus, no more headaches for our Data Science team! 🚀👇 medium.com/slanglabs/the-dat…

5. @SlangLabs What they do: Their platform offers a single-click process to generate an AI Assistant optimized for your app using just the Play or App Store URL.