Borderline boomer
Bengaluru
Joined November 2016
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Here's a lecture I gave on RLHF and the new DPO paper which proposes a wonderful alternative to OpenAI's PPO algorithm. If you are interested in improving the quality of your LLM completions using RLHF, please watch this video.
youtu.be/Ju-pFJNfOfY
Arvind retweeted
Raghunath ji, thank you for bringing this to our attention. It is at the heart of what we are attempting at @SarvamAI .
We agree that you shouldn't have to count characters to be empowered by AI. We have credited your account with a lifetime access to our models. 🙏
Anyone else using Sarvam for accessibility, please write to us at [email protected]. Our team will address you directly while we work towards launching a formal program asap.
Hello @SarvamAI,
I am 70, an oral cancer survivor since 2015. Cancer took away my God-given gift of speech. Today, my wife is my voice before doctors, banks and the outside world.
I have spent years communicating through written notes, often unread or unanswered. At cancer hospitals, I see countless patients struggling to express their suffering. Our pain is ours, but our voice has become someone else’s.
India has an estimated 1.99 million people with speech disabilities. For us, Text-to-Speech AI is not a convenience. It is our lost voice restored.
A doctor may not read my 100-word note, but could listen to it in under a minute.
Yet your per-character pricing makes regular use expensive.
Could @SarvamAI introduce an affordable, unlimited-use Divyangjan monthly subscription like other AI models like #ChatGPT #GeminiAI?
We are not asking for charity. We are asking for the dignity of speaking for ourselves.
Waiting for your reply so that I can subscribe this tool right away.
@narendramodi @AshwiniVaishnaw
Arvind retweeted
We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math.
It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training.
We call this Weight-Space Programming: frontier LLMs can now natively read/write neural network weights! 🧵
Blog: rikiyat.github.io/blog/weigh…
Readers added context they thought people might want to know
LLM was given weights explicitly as text in prompt and used code/forward passes (per authors' logs) to ablate Qwen looping direction, a known thinking-mode issue per model card. Primarily fixed repetition in that mode, not general 'natively' improving weights/math.
rikiyat.github.io/blog/weight-sp…
github.com/RikiyaT/lm_und…
huggingface.co/Qwen/Qwen3.5-0…
huggingface.co/RikiyaT/Qwen3.…
Arvind retweeted
スマホの傾きに合わせて、絵が回るようにしてみた。
3D化しているわけではなく、1枚の絵から360°回転の「動画」を作り、傾きに合わせてフレームを前後させて、立体っぽく見せています。
#MiniMaxH3 + ORB360 LoRA
Arvind retweeted
Nitroduck designs new colors, flavors, and disease resistance into fruits and veggies. We integrate CRISPR into breeding through pollen, making any crop gene-editable.
Breeding a new specialty crop variety takes 8 - 16 years: breeders hope for random gene combinations and mutations, then spend years picking out the good ones. Meanwhile, consumer tastes, the climate trends, and pathogens change way faster.
Now, accessible genome sequencing and AI can tell breeders what to aim for instead of what to hope for, and CRISPR can turn random mutations into chosen ones. The catch is that CRISPR only works on about 15% of crops. It has to go into a single stem cell that’s then regrown into a whole plant, a process that has to be worked out for each variety, which is cost-prohibitive.
We skip the stem cell and put CRISPR into a pollen grain. The grain pollinates a flower, and out comes an edited seed - seamlessly tapping into how breeders already work.
Matúš, Miro, and I are plant synthetic biologists who made duckweed, the smallest and fastest-growing plant on Earth, genetically engineerable. For doing so we won the Grand Prize at iGEM, the “Olympics of biotech.” During our studies, we engineered 4x more plants than the average plant scientist does in a whole career. Now we’re building Nitroduck, The Crop Design Company, which will make pesticides obsolete by 2042.
Arvind retweeted
fable 5.5 is about to mog everyone
asked it to make an animation that makes me feel like it’s agi and in about an hour it cooked
this is made with pure code, no external assets used. anthropic really went all with this one
watch till the end cuz it gets so good
Arvind retweeted
This is the kind of work we love seeing on HN!
Readers are also helping shape it by requesting features, getting working updates back, and sharing their own adaptations.
What an amazing project, @karpathy!
news.ycombinator.com/item?id…
Weekend hack: HackerTube. I was annoyed with YouTube's recommendations so I had Claude filter down 43M comments over 20 years of HN to 6,454 videos that keep being recommended. *Significantly* better viewing experience, ~2 hours with Opus 5.5:
hackertube.org/
- Excellent recs without any logins (state is kept in local browser session)
- Thumbnail is a representative frame from middle of the video instead of the super duper A/B test hyper-optimized user uploads
- Underlying data from the comment analysis as one zip file, point your Claude at it and ask for your own version
- HackerTube Longs ✊
A bit more on the process:
I use Claude Code (desktop app for Mac), Opus 5.5 on Medium effort as my default. I only talk to Claude and have it do everything, the only "manual work" I helped with in tandem was in the browser (reminiscent of MenuGen): 1) I had to create some kind of API key from Google Cloud UI to query YouTube for video metadata, 2) I booted up a VPS box for serving and 3) I bought the domain name. Once the box was up I gave Claude the IP and told it update, secure, harden, deploy and optimize the code, and it did the whole thing.
Many awesome projects that would have normally taken weeks/months even can now be few-shotted for breakfast. What else are we not thinking of.
Arvind retweeted
Every machine on Earth that runs Python is about to become one computer.
Compute has borders. We just removed them.
Portal moves a running Python job between any two machines. Any cloud, any GPU, any CPU. Mid-run.
Everything before hit the wall, so we built a portal.
Arvind retweeted
One reason I am sanguine about the technological singularity is that I have seen it coming for over 50 years. In 1975, when I was 17, I wrote:
"Before man can most effectively aid his problem solving machinery, he must first understand it. At present, his understanding is very poor. However, when the breakthrough in understanding the brain occurs, improvement will come very fast and in an exponential increase. Once man has created an intelligence greater than his own, that intelligence should be able to create an intelligence greater than itself, as man whose intelligence is less than its was able to create its intelligence. Thus, the level of intelligence will shoot up with incredible rapidity, probably within the space of years. Within a few years of a breakthrough, which may occur any time now, man will either have been left behind by a superior intelligence of his own making, which he can no longer understand, or he will have become that intelligence and will no longer be like anything imaginable today."
Arvind retweeted
Phew! NVS missions on GSLV are always nail-biting! 😅🚀
Congratulations to Team ISRO on the successful launch of NVS-03! 🇮🇳🚀
A major boost to NavIC, India’s indigenous navigation system and strategic autonomy.
Once commissioned, NVS-03 is expected to restore the minimum four-satellite capability for independent 3D positioning, with upcoming launches strengthening the constellation further.
A vital step towards a self-reliant India in space!
Arvind retweeted
A ‘hello world’ milestone for Project Suncatcher 🚀
After launching our prototype satellite a few weeks ago, we’ve now successfully sent a command up to orbit, booted up the TPU, ran the prompt, and received our first complete response back on earth - a haiku!
Arvind retweeted
Japanese chipmaker Rapidus was founded in August 2022, and by mid 2025, they had a 2nm process working on a pilot line.
Worried by India’s lack of compute sovereignty, I asked a professor of mine why we couldn’t replicate this effort- he answered with one word - Talent.
Japan has been working with semiconductors since basically the invention of the transistor- consequently they’ve developed individual and organisational knowhow and tacit knowledge on how to build this industry - this looks like individual engineers knowing how to optimise a dose matrix, identify lithographic defects, figure out which step led to a bad IV curve- but also organisations as a whole having the knowhow and discipline on how to make ultrapure chemicals, how to decontaminate a part and how to install and maintain equipment.
To develop the talent you need the ecosystem that can train the knowhow, and to develop the ecosystem you need the talent- this is a chicken and egg problem.
In August 2025, we started @hackerfabindia and have been building open source equipment to fabricate semiconductors. Simultaneously, @itsarnavb and @_lagrangepoint have been working on discovering and nurturing talent all over the country.
Arnav and I sat down a couple of months ago, and brainstormed how we can solve this chicken and egg problem - and Junction is the fruit of that discussion.
We will bring the best and brightest builders from colleges all over the country under one roof, and equip them with funding and mentorship from experts in academia and the industry. The idea is to get the hands-on knowledge, context and confidence by building small projects now- to go on to building big, frontier projects in the industry.
We hope for Junction to spring up many chapters of HackerFab all over the country - centres which will mirror this ethos of learning by building- while being linked to India’s larger semiconductor mission.
If India in 2026 can start building a pipeline producing the best semiconductor talent - it’s exciting to think about where that gets us 10-15 years from now.
The journey from sand to superintelligence is driven by talent, and Junction is where talent comes together. The current in a PN junction diode takes off exponentially once the threshold voltage is crossed -- the journey for India’s Semiconductor Mission to cross its threshold is a challenging one. Join and help us catalyse it!
Launching Junction: come speed-run the semiconductor tech tree this December in Bangalore.
We’re flying in students from all over India 🇮🇳 to a 2-week fabrication retreat at @_lagrangepoint to build equipment, design chips and engineer processes, with our friends at @hackerfabindia.
India still needs thousands of semicon engineers -- the ecosystem to produce them isn’t mature enough yet -- we're changing that.
Current applicants have built vacuum chambers to study plasma physics, RISC-V processors from scratch, scanning tunneling microscopes, et cetera
At junction you will:
1. Propose a project
2. Figure out a plan with the Junction team.
3. Iterate fast towards a working prototype, with help from the Junction team
4. Be mentored by top semiconductor hackers and specialists.
5. Demo to industry leaders, founders, investors, and your fellow craftspeople
Flights, accommodation and project expenses? All covered. Apply on the link below
Arvind retweeted
1/4
Meet Qwenputer: Qwen3.5-4B with a full RISC-V CPU inside its weights, using the model's own Gated DeltaNet layers as RAM.
It runs C and MicroPython in its forward passes, no external runtime.
On DeepMind math: base 55–90%, base + Python tool 95–100%, Qwenputer 97.5–100%.
Arvind retweeted
IIT Madras just got a room-temperature sodium-sulfur battery to behave, trapping the polysulfides that usually kill it. The quiet part is the shopping list. Sodium and sulfur are everywhere and dirt cheap. Lithium we import two-thirds of and refine none of. A lab fixing a chemistry we don't have to buy from anyone is worth more to me than ten gigafactories built on cells we can't feed. The win isn't the battery. It's which periodic table you're standing on.
Arvind retweeted
Geoffrey Hinton once noticed that the tellers at his bank kept changing. When he asked one of them why, the teller didn't know, only that they got moved around a lot.
Hinton guessed the reason... if staff never work with the same people for long, it's much harder for a few of them to team up and cheat the bank.
That thought became one of the most useful tricks in deep learning. While a neural network trains, you randomly switch off about half its neurons at every step. No neuron can lean on a particular partner, so each one has to learn something useful on its own. The trick is called dropout, and it helped AlexNet win the 2012 ImageNet contest, which set off the modern AI boom. It's still built into many of today's networks.
Incredible work by Anshuman Nayak and team!!
Physicists in Okinawa have floated a diamond about a centimetre wide and pushed it up and down using nothing but the spins of electrons inside it, pumped by pulses of green laser light.
That object is roughly a hundred million times heavier than anything moved by spin force before. So, a quantum force now shows up directly on something heavy enough for gravity to matter.
