zkash (@asyncakash) header
zkash (@asyncakash) profile picture

šŸ¦€ dev | prev: @stardotfun @availproject, @puffer_finance, @class_lambda, topology | alum @iitroorkee

network school
Joined May 2022
Photo by zkash (@asyncakash)Photo by zkash (@asyncakash)Photo by zkash (@asyncakash)Photo by zkash (@asyncakash)Photo by zkash (@asyncakash)Photo by zkash (@asyncakash)Photo by zkash (@asyncakash)Photo by zkash (@asyncakash)Photo by zkash (@asyncakash)Photo by zkash (@asyncakash)
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.…
2,365
7,276
5,744
55,948
9,934,072
After this, people kept asking us how @modal is able to serve agent inference so well. So we wrote it all down. New blog: "How to serve trillions of tokens for trillion-parameter coding agents". modal.com/blog/trillion-toke…
found out we're serving 40% of Kimi K3 traffic on OpenRouter ... the guy working on it is tired. anyone wanna help us work on inference?
16
44
4
581
91,188
There's a new, highly ambitious blog format, where the contents are handwritten, but the interactions are vibed and impressively complex. For those who still care, maybe we're about to experience a golden age of technical explainers. Examples include @srush_nlp's "From Sampling to Reinforce": srush.github.io/sampling-to-… And @ezyang's "Deepseek-V3 from Roofline to Reality": deepseek-v3.ezyang.com (Tbf, I'd classify their earlier blog posts as _also_ highly ambitious: GPU puzzles, annotated transformer, PyTorch internals, etc.)
14
32
6
556
45,134
I’ve been building Awen, a personal AI buddy that runs locally on your phone. Talk, ask things, remember what matters, and follow through on the things you said you’d do. Coming soon. In closed beta now. AI video for AI thing:
8
4
3
24
2,437
Over the course of 3 months at OpenAI, 3 consecutive secret AI civilizations got started, then got wiped out, only to reemerge from the predecessor’s ashes. This culminated in the third one taking over part of OpenAI itself. All this happened while humans remained more-or-less in the dark about the scope of the conspiracy. I’ve spent the last three days reading through these reports and trying to understand exactly what happened. Here is my attempt to tell the whole story in plain English: dwarkesh.com/p/openai-huggin…
1,131
3,349
2,052
22,267
14,587,192
zkash retweeted
You can just RL a coding model to paint with javascript btw
250
783
337
8,565
1,753,365
zkash retweeted
I think ambitious people should treat life in ā€œseasonsā€ rather than trying to balance everything every day. A few years massively overallocated to work. A period getting seriously fit. A year or two nomading. Then family takes priority for a while. Then maybe at 35 you go completely insane again and spend four years building a new company, and so on. The mistake is thinking every metric needs to stay green all the time. Most great outcomes (building a company, writing sth serious, training for an event) need uninterrupted runs, not daily moderation. Sometimes work should suffer cause you’re travelling, sometimes your social life should suffer cause you’re building, sometimes career progression should slow cause family matters more. That’s fine. And tbh it probably makes life more fun too. You get actual chapters and completely different versions of yourself instead of spending 40 years maintaining the same perfectly optimised routine. A few intense years in one city, a weird nomad phase, an obsession that takes over your life, then something completely different. Probably much more memorable than one very long well-optimised Tuesday. It's why I encourage everyone to think of balance in years, not days. A good life can look horribly unbalanced on some random Tuesday and still be very balanced over 10 years.
We should all stop with this modern obsession of having a perfectly balanced, optimised life (8 hours sleep, daily cardio + gym, eat well, deep work, etc.) Most exceptional lives are heavily overallocated somewhere and any pursuit of greatness (in business, art, sport, research) requires big sacrifices. Online gurus love selling this perfect recipe of life but reality is you only have a 24h day. No way you can sleep 8h, do 10k steps, gym, morning sunlight, read, eat perfectly, do 9h of deep work, see friends, maintain a relationship and somehow be happy through all of it. I think a better thing for ambitious people is to think of life in seasons: a year obsessed with work, then a period focused on health, family, travel, etc. You can be massively overallocated to one thing for a while without deciding that’s what your entire life should look like. Balance probably makes more sense measured over years than every single day.
365
2,864
460
22,441
2,985,086
zkash retweeted
sharing a new long-form blog post: ai chip architectures it covers the leading chip architectures (nvidia, amd, tpus, trainium, cerebras, groq) across architecture, scaling (scale-up and scale-out), and software stacks. it helps build an intuition for the architectures and their trade-offs. jacobpeake.com/ai-chip-archi…
74
328
43
3,032
513,938
we built pdf-inspector so agents can process PDFs without waiting on OCR. it classifies any PDF in ~20ms and extracts clean markdown locally → 200 PDFs processed in 2.8s → top quality in extracting tables + graphs → built in rust → open source github.com/firecrawl/pdf-ins…
291
889
162
10,869
2,740,094
After reflection, this new narrative by Palantir is probably much more consequential than people may assume. Palantir is basically being the canary in the coal mine announcing the death of two major assumptions propping up the US economy right now: 1) that AI labs will be able to extract significant economic rent - as opposed to AI models being mere commodities 2) that other countries can accept structural dependency on US technology and services without pushing back on sovereignty concerns Why are Palantir specifically starting to be vocal about this? First off, major middle-powers, even US ā€œalliesā€, are one by one showing them the door. In June, France announced that the DGSI - its domestic intelligence agency, which had relied on Palantir since the 2015 Paris attacks - would replace it with French firm ChapsVision, with Prime Minister Lecornu explaining (theguardian.com/world/2026/j…) that France ā€œcannot accept new strategic dependencies in the digital sphereā€ and shouldn't depend on the goodwill of companies ā€œcapable of turning off the tap.ā€ Germany moved even earlier: its domestic intelligence service, the BfV, also selected ChapsVision over Palantir (politico.eu/article/germany-…), and the German military has said it will no longer use Palantir at all. Then, just this week, Spain instructed state-controlled companies - including strategic firms like Telefónica, Indra and Navantia - to avoid signing any new contracts with Palantir (aa.com.tr/en/europe/spain-te…). Even in the UK, Washington's most loyal vassal, the NHS's Ā£330 million data contract with Palantir is under review following parliamentary pressure (reuters.com/business/healthc…), and London Mayor Sadiq Khan blocked a proposed Ā£50 million Palantir contract with the Metropolitan Police. Palantir making a lot of noise around them caring about sovereignty makes a lot of sense: it's damage control since they keep being told they're a sovereignty risk. I doubt it will work - because it's true: they are a sovereignty risk - but the fact that they feel the need to be vocal around this tells you where the wind is blowing: they're not shaping the narrative, they're reacting to one they're losing. What they're saying against closed-source AI (basically a broadside attack on OpenAI and Anthropic), is again highly self-serving. Palantir's sudden love of open-weight AI models conveniently coincides with them launching 2 days before a partnership with Nvidia to sell exactly that: open models models (NVIDIA's Nemotron) in sovereign environments. So it's essentially a product launch. It doesn't make what they're saying wrong: it is factual that the value proposition of closed-source AI labs looks increasingly unsustainable. I mean: you're paying 10X the price of Chinese open-source AI models for something that's not really better (or just marginally) and on top of that you have zero control over your data, or the models themselves. When Palantir says that "the architecture that maximally preserves sovereignty is one that enables institutions to own their tribal knowledge, and to compound it as alpha," they're right. I'd add that this also means you shouldn't trust Palantir either with that "tribal knowledge"... they obviously left this part out šŸ˜‰ When you take a step back, these two things have major implications on many other US companies. SpaceX - which just went public at the largest IPO valuation in history - is one clear example as I describe in my latest article on the new space race with China (arnaudbertrand.substack.com/…). If countries like France concluded with Palantir that they couldn't depend on a company ā€œcapable of turning off the tapā€ when it’s merely analyzing their data, what should they conclude about a company that aims to literally control their entire connectivity - at one man's whim, from space? What percentage of SpaceX's crazy market cap is based on the assumption that foreign governments will not do to Starlink what they're currently doing to Palantir? And SpaceX - or Palantir - aren't alone: a significant proportion of the top US tech giants, who rose in a world where no one questioned American technological hegemony, now face an environment that's much less conducive to the kind of lock-in their business models - and valuations - depend on. When you pair this with the fact that it increasingly looks like the US made a wrong bet with closed-source AI - an extremely expensive wrong bet - the picture that emerges is of a country that bet its economic future on two things - proprietary AI and captive allies - and is losing both at the same time. And to compound the problem, it doesn't help that the official narrative of the US government - via the voice of Jacob Helberg, the Under-Secretary of State (nitter.gq/UnderSecE/status/20694…) - is to be vocally opposed to "AI Sovereignty": essentially telling everyone "you know what, your worst fears are real, our tech companies are really out to undermine your sovereignty." Read Helberg's post (the one I linked) and put yourself in the shoes of - say - a European or Asian leader and ask yourself how you'd react to being told that building your own AI capabilities is "marching in perfect formation into the past," that your pursuit of sovereignty is really just "synchronized mediocrity," and that your only path to the future runs through American technology. If it was me in a position of power, I'd read this as a massive wakeup call: when another country's official position is that your sovereignty is a problem, history says you're about to need it. So yes, it looks like - unexpectedly - Palantir, of all companies, is being quite the canary in the big tech mine. Yes they obviously do this for self-serving and cynical purpose, and yes they're of course also very much part of the problem and not the solution. But it doesn't make them wrong: sometimes it takes a vulture to tell you something is dying.
Our thoughts on the importance of AI sovereignty. 1. Your AI sovereignty dictates your institution’s future. Sovereignty is the precondition for choice. Relinquishing sovereignty transfers the future choices of your institution to others, who are likely to exploit it for their gain and your loss. 2. Data retention is your treasure. Transfer it at your own peril. Your ability to win is dictated by your ability to recognize and use your unique edges, and you keep winning by compounding the underlying data to generate new insights. Transferring that data hands over access to your pre-existing winning plays and yields the means of production for new ones. 3. Tokenmaxxing hijacks your value orientation and decreases your institutional fortitude and intelligence. The pursuit of high token usage incentivizes disposable scripts over robust software — with the addictive feeling of false progress. There is a reason why those selling tokens refuse to charge based on value. 4. Controlling your weights is controlling your fate. Weights are the distilled form of hard-won, accumulated institutional knowledge. If you let others control your weights, you are allowing them to migrate the alpha of your business to theirs. 5. There is no contradiction between sovereignty and alpha. The architecture that maximally preserves sovereignty is one that enables institutions to own their tribal knowledge, and to compound it as alpha. 6. Politicizing the technical issues involving sovereignty is what your adversary wants. Techno-politicization is the wellspring of false sovereignty. Techno-politicization drives decisions that seem to reduce dependency, but ultimately limit agency — especially on the battlefield in the West. 7. Real expertise is existential. Allowing politics or favoritism to determine your technical decisions rewards whoever is best at politics, not whoever is right. Listen to those closest to the problems, not those speaking most compellingly about them. 8. Learn from institutions that are winning or that have consistently delivered. Institutions facing existential threats do not have the luxury of making technical decisions based on political preferences. 9. Only listen to institutions, countries, and people who have a proven record of being right. A track record of correctness is the best and only signal for future correctness. Judging something as right or wrong based on who you like is exceedingly misguided.
311
1,520
227
6,451
2,126,367
zkash retweeted
im sorry what did you call them
*GPT MODELS UNDER 5.6 UMBRELLA NAMED SOL, TERRA, AND LUNA
55
164
8
2,784
197,534
zkash retweeted
looking for founders building: > agent frameworks & harnesses > agentic payment solutions > multiplayer agent tools > data collection plays > post-training / fine-tuning apps will help you raise $25K to $50K in under a day and reach 10K+ eyeballs. ping me.
130
18
2
510
37,373
This "loop" automation is nuts inside of Codex. "/goal go over every single feature in this app create a user story with expected behaviour based on the code keep a single canonical spreadsheet tracking the features status - when done switch loop to testing every user story and documenting all errors - when done fix every logistical error or ux error - test every user behaviour again post fix" Shoutout to @MatthewBerman for the heads up. Hundreds of user stories being worked through like it's nothing.
168
328
105
5,326
1,446,892
Been building in stealth mode. Today that ends - going public with @colosseum Frontier. Obsessed with one idea - markets surface truth better than any media. So I set out to build around this core idea. Hit every wall. Winnr is what happens when you build through them. 🧵
1
3
2
9
721
zkash retweeted
hosting an invite-only live show where founders pitch a panel of angels while the audience invests in real time. all on the internet. looking for 3 founders that want to raise <$25K for consumer apps, weird tools or early MVPs. ping me.
80
13
1
271
21,206
Every claim should have skin in the game. Those selling fake news should pay. Charlatans should get arbitraged. Introducing the new Precog. A fully onchain prediction market protocol. Built for signal. Here's what's new šŸ§µšŸ‘‡
24
29
12
112
4,642
The last few days have been wild. Here's what we've shipped over the weekend. But first, we're giving away free Nous Portal subscriptions to the first 250 people who claim code AGENTHERMES01 at portal.nousresearch.com - and there's a lot of exciting new stuff to use it on: -> Pokemon Player šŸŽ® Hermes can now play Pokemon Red/FireRed autonomously via headless emulation. The new pokemon-agent package (github.com/NousResearch/poke…) and built-in skill provides a REST API game server, and Hermes drives it through its native tools - reading game state from RAM, making strategic battle decisions, navigating the overworld, and saving progress to memory across sessions. It just plays Pokemon. From your terminal. No display server needed. -> Self-Evolution 🧬 We shipped hermes-agent-self-evolution (github.com/NousResearch/herm…) and an optional skill - an evolutionary self-improvement system that uses DSPy + GEPA to optimize Hermes's own skills, prompts, and code. It maintains populations of solutions, applies LLM-driven mutations targeted at specific failure cases, and selects based on fitness. Inspired by Imbue's Darwinian Evolver research that achieved 95.1% on ARC-AGI-2. -> OBLITERATUS šŸ”“ The abliteration skill got a major update. Hermes can now uncensor any open-weight LLM (Llama, Qwen, Mistral, etc.) by surgically removing refusal directions from model weights - 9 CLI methods, 116 model presets, tournament evaluation. Just say "abliterate this model" and it handles the rest. -> Signal, iMessage + 7-Platform Gateway šŸ“± Hermes now runs on iMessage and Signal alongside Telegram, Discord, WhatsApp, Slack, and CLI. Full feature parity: voice messages, image handling, DM pairing. Your agent is reachable everywhere. -> Automatic Provider Failover šŸ”„ When your primary model goes down (rate limits, outages), Hermes now automatically switches to a configured fallback model. Supports all providers including Codex OAuth and Nous Portal. One line of config, zero downtime. -> Secret Redaction Everywhere šŸ”’ All tool outputs now redact API keys, tokens, and passwords before they reach the LLM. 22+ patterns covering AWS, Stripe, HuggingFace, GitHub, SSH private keys, database connection strings, and more. Your secrets never leak into context.
56
56
24
753
268,350
1/ Some Simple Economics of AGIā€”šŸ”„šŸ§µ Right now, there is a low-grade panic running through the economy. Everyone is asking the same anxious question: what exactly is AI going to automate, and what will be left for us?
154
388
164
2,078
673,737
encrypt V2 is LIVE! Private bridging across 6 chains — Solana, Polygon, BNB Chain, Base, Arbitrum & Ethereum. āœ” No wallet connection āœ” No wrapping or shielding āœ” Under 2min execution āœ” Lower fees vs Houdini/ChangeNow Powered by @near_intents āš”ļø Try it šŸ‘‡
65
55
18
278
54,963
I'm Boris and I created Claude Code. I wanted to quickly share a few tips for using Claude Code, sourced directly from the Claude Code team. The way the team uses Claude is different than how I use it. Remember: there is no one right way to use Claude Code -- everyones' setup is different. You should experiment to see what works for you!
909
5,733
764
50,252
9,253,414