Aditya Varun Chadha

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Aditya Varun Chadha

Aditya Varun Chadha

@adichad

fractal black-hole multiversalism groupie

Berlin, Germany Katılım Mayıs 2008
931 Takip Edilen274 Takipçiler
Aditya Varun Chadha retweetledi
The Paperclip
The Paperclip@Paperclip_In·
This is a photograph of Albert Einstein with an unassuming Indian man you probably haven’t heard enough about. He spent his life working on one idea: women should be able to live with dignity and make their own choices. Thread. 1/14
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Puppies 🐶
Puppies 🐶@Puppieslover·
No cheating, post the last saved dog pic on your phone
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Aditya Varun Chadha
Aditya Varun Chadha@adichad·
@simonw @lhotari Not at all. I built the large scale systems over decades that I make LLMs and agents improve much faster than I would today. Break others’ laurels publicly, break your own laurels privately (using LLMs nowadays).
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Simon Willison
Simon Willison@simonw·
Is there still a widespread belief that LLMs and coding agents are good for greenfield development but don't help for maintaining large existing codebases? I don't think that idea holds up any more
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Aditya Varun Chadha retweetledi
Aakash Gupta
Aakash Gupta@aakashgupta·
Evals are the new PRD. The companies building AI products that actually work are running 12.8 eval experiments per day. Here is the playbook with @ankrgyl, Founder and CEO of @braintrust ($800M valuation, behind Vercel, Replit, Ramp, Zapier, Notion, Airtable): ⏱ 1:43 Why vibe checks stop scaling ⏱ 6:35 Evals are the new PRD ⏱ 8:45 The Claude Code evals controversy ⏱ 18:48 Building an eval live from zero ⏱ 29:51 Connecting Linear MCP and iterating ⏱ 39:12 Why you need evals that fail ⏱ 43:36 Offline vs online evals ⏱ 47:40 Three mistakes killing eval culture The core framework: every eval is exactly three things. A set of inputs your product needs to handle. A task that takes those inputs and generates outputs. A scoring function that produces a number between 0 and 1. We built one from scratch on camera. Score went from 0 to 0.75 in under 20 minutes.
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Mayukh
Mayukh@mayukh_panja·
My brothers and sisters on my timeline: who knows a solid English speaking tax guy based in Berlin? The kind that doesn’t abandon you. Friends, please RT.
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Martin
Martin@martinmrmar·
@Mugiwara_ishu Btw which English translation would be best and most authentic ?
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Martin
Martin@martinmrmar·
I read the Quran last year and it made me nauseous. Never reading that book again. Thought this year I would make an attempt at reading and studying this sacred text. Found it in a thrift store for $1.
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Aditya Varun Chadha retweetledi
Mehdi (e/λ)
Mehdi (e/λ)@BetterCallMedhi·
I spent time in Shenzhen last year and when I saw Merz come back from China saying Germans need to work more I immediately knew what broke his brain because I lived the exact same cognitive shock my first week in Huaqiangbei I burned through 4 prototype iterations of a motor controller board for less than a thousand bucks total, back home a friend was working on something similar and spent over 12 thousand for a single revision that took almost two months to arrive when you live that contrast in your own hands with your own project something permanently shifts in how you see the world and it goes way deeper than speed & cost what Shenzhen actually built is a collective learning organism, imagine 20 PCB fabs 15 injection mold shops 30 component distributors and a hundred firmware freelancers all within a 2km radius, looks insanely redundant from the outside until you realize redundancy is actually information density in disguise I watched this firsthand with an injection mold supplier I was working with, this guy had seen a hundred founders iterate similar thermal designs over 6 months so he proactively modified his tooling before I even opened my mouth, he knew what I needed before I knew what I needed, the intelligence lives in the relationships between the nodes and it compounds daily the west thinks about manufacturing as a cost center you optimize by centralizing… China accidentally built a distributed neural network of manufacturing intelligence where knowledge diffuses horizontally across thousands of agents faster than any single western company can process internally so when Merz comes back and says we need to work a bit more I think he saw the problem but COMPLETELY misdiagnosed the solution, telling Germans to work harder is like telling a horse to gallop faster when the other side built a combustion engine the gap is ARCHITECTURAL it’s ecosystem density, you need a custom connector in Shenzhen you walk 200 meters, in Munich you send an email and wait 3 weeks it’s iteration speed, parallel search vs sequential optimization at the system level, it’s risk tolerance, Chinese founders ship something broken on Monday fix it Tuesday ship again Wednesday while European companies are still in the approval phase for the pilot program of the feasibility study… and Merz only saw the surface, what he missed is the tier 2 cities like Hefei Chengdu Wuhan replicating the Shenzhen model at scale right now BYD going from irrelevant to outselling every european automaker combined in roughly 5 years, Huawei building its own 7nm chip under maximum sanctions when every analyst said it was physically impossible & behind all of that a government that treats advanced manufacturing as an existential national priority while europe debates whether AI needs another ethics committee I think what we’re watching is the most asymmetric economic competition in modern history and most western leaders are still framing it as a productivity problem when it’s actually an ontological one Europe & America are optimizing variables that China stopped tracking years ago meanwhile China is compounding on dimensions the west has no framework to even measure Merz at least had the courage to name it out loud and I respect that genuinely but working a bit more inside a broken architecture just means you arrive at the wrong destination slightly faster
Megatron@Megatron_ron

NEW: 🇩🇪🇨🇳 German Chancellor Merz says Germans need to work more in order to match China: “We are simply no longer productive enough. Each individual may say, “I already do quite a lot.” And that may be true. But when you return from China, ladies and gentlemen, you see things more clearly. With work-life balance and a four-day week, long-term prosperity in our country cannot be maintained. We will simply have to do a bit more.”

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Aditya Varun Chadha
Aditya Varun Chadha@adichad·
@DavidDeutschOxf @yudapearl @bnielson01 That just says: the reality premise of the question is not established. Can’t answer *because* we don’t know whether “they” do (have the same “rest” mass). It’s an information-free response in the sense that it says nothing about the question or its validity.
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David Deutsch
David Deutsch@DavidDeutschOxf·
Here's a question Popper asked Bryce DeWitt: Why do all electrons in the universe have the same rest-mass? DeWitt's answer was an excellent explanation I think, but I don't think it could be called causal. He said: I'm a physicist so maybe you won't find this answer satisfactory: maybe they don't. But if they don't, there must be something else, another quantum field, that accounts for the differences. If there were such a field, we'd want to investigate it. If there isn't one, we may not need to.
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Aditya Varun Chadha retweetledi
Ursula von der Leyen
Ursula von der Leyen@vonderleyen·
Europe and India are making history today. We have concluded the mother of all deals. We have created a free trade zone of two billion people, with both sides set to benefit. This is only the beginning. We will grow our strategic relationship to be even stronger.
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Aditya Varun Chadha
Aditya Varun Chadha@adichad·
@Alice_Weidel We have a poem in Hindi with a verse: क्षमा शोभती उस भुजंग को, जिसके पास गरल हो। उसको क्या जो दंतहीन, विषरहित, विनीत, सरल हो।। This fits Europe today.
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Alice Weidel
Alice Weidel@Alice_Weidel·
"Die Amerikaner verstehen nicht, dass wir einen zivilisatorischen Selbstmord begehen. Und das ist der Grund dafür, dass wir uns mit den Republikanern sehr gut verstehen - weil wir diese Ansicht teilen!"
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Aditya Varun Chadha retweetledi
Daniel Lemire
Daniel Lemire@lemire·
In software as in life, we often need to deal with people who will happily waste our time. Maybe it is insurance salesman who insists on taking your time. Maybe it is a colleague who must show its 50-slide PowerPoint presentation. One important step you must take to succeed is to take these people out of your life as much as possible. Try to neutralize them. The following statement by Torvalds is relevant to this effect... « Some security people have scoffed at me when I say that security problems are primarily "just bugs." Those security people are f*cking morons. Because honestly, the kind of security person who doesn't accept that security problems are primarily just bugs, I don't want to work with. » It matters because software has bugs. All non-trivial software has bugs. In fact, hardware systems have bugs too, sometimes caused by hardware failures. And some bugs can be exploited to cause problems such as denial-of-service attacks or even allow attackers to take control of your machine. So we should hunt down bugs. However, there is a whole class of people who find an off-by-one error or some other bug, and then immediately declare that they have found a **security vulnerability**. Whatever they are doing is the *most important thing there is*. We should all stop what we are doing to concentrate on what this person is saying because it is obviously the most important discovery it is. You see. It is not a bug. It is a security vulnerability. This is just like the insurance salesman that wants to tell you that without his insurance, your family could go hungry. You see, it is not insurance. It is the future of your children. Stay away from these people.
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Niall Harbison
Niall Harbison@NiallHarbison·
RIP little Nugget. His operation took 6 hours and he made it through. But 2 hour later his little body gave up as we feared it might. We help a lot of dogs but it still broke us all to lose this little gentleman yesterday. 💔
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Aditya Varun Chadha retweetledi
Sangeetha(RewriteYourStory)
My hot take is that people without religion or those who are agnostic have better morals. They don't diss other people's food. They don't have separate utensils and dishes for the marginalised They don't call their food pure. They marry based on mutual values and respect. They don't call random people terrorists. They don't force their women to dress in a certain way. They don't mob lynch
Hitchslap@Hitchslap1

Serious question. Is it possible to have morality without religion?

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Aditya Varun Chadha
Aditya Varun Chadha@adichad·
@krassenstein lol you mean Indian numerals? That’s the only system anyone learns anyway. Script differences aside who cares about the squiggly shapes anyway
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Brian Krassenstein
Brian Krassenstein@krassenstein·
BREAKING: Zohran Mamdani is expected to require ALL New York Elementary school students to learn Arabic numerals. As a Jewish American I still support this 100%
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Sridhar Vembu
Sridhar Vembu@svembu·
Life is not a race. There is plenty of opportunity to excel at any age and 30 is a new beginning for many people. I remember receiving this advice from my mother and I am glad to have recieved it. If I were to look at life as a race, I have failed compared to Mark Zuckerberg l, who is 20 years younger. Have I failed? Somehow I don't wake up every morning thinking I am a failure. I have to thank my mother for this perspective on life.
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Sridhar Vembu
Sridhar Vembu@svembu·
I advise young entrepreneurs I meet, both men and women, to marry and have kids in their 20s and not keep postponing it. I tell them they have to do their demographic duty to society and their own ancestors. I know these notions may sound quaint or old-fashioned but I am sure these ideas will resonate again.
Upasana Konidela@upasanakonidela

I truly had an amazing time interacting with the students at @IITHyderabad When I asked, “How many of you want to get married?” — more men raised their hands, than the women! The women seemed far more career-focused !!!! This is the new - Progressive India. 🇮🇳 Set your vision. Define your goals. Own your role. And watch yourself become unstoppable.

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Puppies 🐶
Puppies 🐶@Puppieslover·
No cheating, post the last saved dog pic on your phone
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Pedro Domingos
Pedro Domingos@pmddomingos·
No, it's more than an analogy. If something takes exponential time it effectively can't be solved except in trivial cases. So programming can't solve NP and the verifier needs to be in P, which corresponds exactly to the P vs. NP distinction. Also, by definition AI is the subfield of CS that deals with NP problems. And declarative programming has nothing to do with verifiability.
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Pedro Domingos
Pedro Domingos@pmddomingos·
TL;DR: Programming solves problems in P, and AI in NP.
Andrej Karpathy@karpathy

Sharing an interesting recent conversation on AI's impact on the economy. AI has been compared to various historical precedents: electricity, industrial revolution, etc., I think the strongest analogy is that of AI as a new computing paradigm (Software 2.0) because both are fundamentally about the automation of digital information processing. If you were to forecast the impact of computing on the job market in ~1980s, the most predictive feature of a task/job you'd look at is to what extent the algorithm of it is fixed, i.e. are you just mechanically transforming information according to rote, easy to specify rules (e.g. typing, bookkeeping, human calculators, etc.)? Back then, this was the class of programs that the computing capability of that era allowed us to write (by hand, manually). With AI now, we are able to write new programs that we could never hope to write by hand before. We do it by specifying objectives (e.g. classification accuracy, reward functions), and we search the program space via gradient descent to find neural networks that work well against that objective. This is my Software 2.0 blog post from a while ago. In this new programming paradigm then, the new most predictive feature to look at is verifiability. If a task/job is verifiable, then it is optimizable directly or via reinforcement learning, and a neural net can be trained to work extremely well. It's about to what extent an AI can "practice" something. The environment has to be resettable (you can start a new attempt), efficient (a lot attempts can be made), and rewardable (there is some automated process to reward any specific attempt that was made). The more a task/job is verifiable, the more amenable it is to automation in the new programming paradigm. If it is not verifiable, it has to fall out from neural net magic of generalization fingers crossed, or via weaker means like imitation. This is what's driving the "jagged" frontier of progress in LLMs. Tasks that are verifiable progress rapidly, including possibly beyond the ability of top experts (e.g. math, code, amount of time spent watching videos, anything that looks like puzzles with correct answers), while many others lag by comparison (creative, strategic, tasks that combine real-world knowledge, state, context and common sense). Software 1.0 easily automates what you can specify. Software 2.0 easily automates what you can verify.

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Best in Dogs
Best in Dogs@BestinDogs·
Baby needs a chocolatey name 😍🤔
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Phil Sledge
Phil Sledge@PhilSledge·
Here is the latest photo I took. Now show our community your latest picture of your pet. Don’t be shy, you are amongst friends
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