Solopreneur | indie hacker
Kochi, Kerala
Joined April 2010
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"What is an ocean, but a multitude of drops"
youtube.com/watch?v=lxumQYpB…
My feed is suddenly all full of security issues or is this like a rare day :D
Krishna Sangeeth KS retweeted
Effective Immediately, all organizations using PHP for their systems are advised to be prepared for an update addressing two critical vulnerabilities. PHP is widely used for web applications. These vulnerabilities often provide a direct path to the server's file system or database. If an immediate update is not feasible, it is recommend that organizations take the system offline until it can be fully mitigated. NSA will follow up shortly with more specific guidance.
Krishna Sangeeth KS retweeted
🚀 Introducing DeepInfer, our in-house inference framework, now fully open source!
Powering DeepSeek-V4.1-Flash at scale with high throughput and low latency. We’re sharing our production stack to help the community lower compute costs, reduce energy use, and make AI more affordable.
🔗 github.com/deepseek-ai/DeepI…
1/4
Coding agents can be good at doing code reviews too. Also not hard to build tooling around it tailored around the needs.
Wow. There is a coreml model. Definitely worth trying. Decently expressive voice for the model size.
github.com/gradium-ai/xn-ptt…
A new frontier for on-device speech.
We're open-sourcing Phonon, a suite of TTS models under 50m parameters, setting a new standard for naturalness and accuracy across languages, with the broadest inference support to date.
Phonon-31m is available under Apache 2.0.
gradium.ai/phonon🧵
Krishna Sangeeth KS retweeted
Most of these tricks are not specific to speech and should carry over to other transformers. The full recipe, with ablations, is in the blog post: kyutai.org/blog/2026-10-20-p…
Krishna Sangeeth KS retweeted
Pocket TTS has been getting updates those last few days. While it was ~100M parameters, we release smaller versions, down to 1.9M: an 18.2M model with the quality of the original, a 6.9M model, and a 1.9M model that runs 103x faster than real time on one CPU core. All with voice cloning.
That's kind of surprising. Sarvam seems to be the best company in this space, and i genuinely hope they succeed. But waving off the full bill doesn't seem right somehow when there is a 60-40 split for everyone else even after getting past the whole license raj thing.
Still It's okay if this money was used for building the open weight models they have released. Not fair otherwise.
to clarify , are you saying - Sarvam's entire GPU bill is taken care by GoI or is it the 40% subsidy ?
GemmaEmbedding2 model is a really good backbone to build other models.
I built a Malayalam ASR model which is really fast. The current bottleneck is amount of data and once I can scale it further, I am sure WER would come down.
huggingface.co/whiletruelear…
Great read on the topic.
IndiaAI Mission: 9 model builders get Rs 1,058 cr of govt’s compute subsidy, researchers only Rs 10 cr
Vrinda Tulsian @vrinda_tulsian reports for ThePrint
Illustration: Shruti Naithani @shrru_art
theprint.in/tech/indiaai-mis…
Ecosystem already has these notification APIs as other apps use it. But if they could make it widely available for everyone else, it should help the next wave of indian sellers who want to accept payment through UPI.
Imagine this developer workflow:
1. Register your existing UPI ID, such as myname@upibank.
2. Authorize access through your bank.
Register dummy-app.com/webhook.
3. Receive signed events whenever someone sends money to that UPI ID.
No payment gateway onboarding, no dependency on a specific checkout flow, and no SMS scraping needed then. There is clearly demand for this workflow as most payments go through UPI now.
Charge a small amount for this and use this money to subsidise UPI infra for everyone else. @NPCI_NPCI