Arth Jaiswal

Got contacted by @ZeptoNow OJMLVBLRJ35552 for my order, it was 2 days ago. Nobody picked my order. All it says, will be picked in next 50 mins, from 2 days

Since I was a kid, I realized that just by sitting with myself, there is something wrong with EVERYBODY ELSE.

@ZeptoNow I tried returning the order OJMLVBLRJ35552, but it keeps showing this error. The return deadline is very close, and I’m unable to reach customer support, it just redirects me back to the same page. You wouldn’t accept a return after a month, right? So please help fix it

A story survives for millennia not because it is factual, but because it encodes an explanatory pattern about human error. In The Beginning of Infinity, you argue that progress depends on good explanations replacing bad ones. Haman’s conspiracy is a bad explanation weaponized, a closed system immune to criticism. The antidote, then as now, is not power but criticism guided by reason.

The Esther story, presumably fictitious, is the earliest attestation of the Pattern. Its author (4th c. BCE) took for granted that the Pattern was familiar to readers. Otherwise the details wouldn't make sense: why did Haman invent his conspiracy theory? (It's still alive today.)

@DavidDeutschOxf Disagreement without engaging the argument isn’t refutation , it’s just noise. Criticism has to target the explanation, not the conclusion.

TFW you give people a logical proof, and they're like: "Well, I disagree with all that…"

@DrBrianKeating Fascinating discussion, Dr. Keating. The way you connect Webb’s discoveries, relativity, and the deeper questions about spacetime makes complex cosmology feel both accessible and profound. Conversations like this truly expand how we think about the universe. 👏

Post a science picture that's instantly recognizable without any caption.

@karandi65 @iitbombay @SarvamAI @DrJitendraSingh @IndiaAiExpo @OfficialINDIAai @IndiaDST Inspiring to see leaders from IIT engaging with transformative startups like @SarvamAI. Democratizing AI for Bharat while building deep-tech excellence is exactly the direction India needs.

Visited the Expo in #IndiaAIImpactSummit2026 and had engaging interactions at the stalls of many companies. Good to visit companies of former @iitbombay students - @SarvamAI of Pratyush Kumar and TNSQAI of Mohit Soni. While Sarvam is building a future where AI is widely accessible to everyone in India and TNSQAI consists of a team of clinicians, engineers, and designers focused on a world-class product for AI in Medical imaging diagnostics that improves outcomes and elevates the standard of care.

@maxhodak_ Lol 😂

rewatched her tonight and wow does 4o recontextualize things

I lost my son sahil Dhaneshra a 22+ year old young and most talented boy whom I raised for 23 years alone as a single mom ,was killed brutally by a scorpio N bearing no.UP57BM3057 driver is an unlicensed driver and his sister while making speed fun reels in #dwarka #delhipolice

If AI is an agent, then the real question is not whether it makes decisions, but who designs the objective functions shaping those decisions. Agency without alignment becomes evolution without biology. The knife analogy fails not because AI has intention, but because it operates within goal landscapes we barely understand.

One of the biggest misconceptions about AI is that it is just a tool. A knife is a tool that cannot decide whether to chop salad or commit murder, whereas AI can make its own decisions without human involvement. From @nytimes piece “Where Is AI Taking Us?” – read the whole thing: bit.ly/NYT-YNH

Interesting lens. If entropy is fundamentally about how systems reorganize energy and information, then maybe AI is not just a productivity tool but an information compression engine. It reduces coordination cost, accelerates decision cycles, and reorganizes complexity at scale. In that sense, population boom was a biological way to scale problem solving. AI could be the cognitive equivalent. Curious whether you see this as entropy reduction locally at the cost of higher global entropy, or as a phase transition in how intelligence organizes matter.

AI maybe solving the entropic knot that manifested in the past in form of human population boom.

Just finished How Will You Measure Your Life? and I want to sincerely thank @jamesallworth and @KarDillon for co-creating something this thoughtful. The idea that behavior reveals real priorities really stayed with me. It forced me to zoom out and see the bigger picture of how I allocate my time and energy. It gave me a much longer term lens for decision making. The Dell outsourcing to Asus example was powerful. It clarified why outsourcing what feels operational can slowly hollow out what is strategically essential. Doing the important things yourself is not control, it is capability building. Grateful for the perspective shift. Also very grateful for late @claychristensen #read #bookworm #entrepreneur

@vkhosla I’m glad. I think the longevity work being done by people like @bryan_johnson will help not just science, but also reshape how we think about our day to day choices, including things like the fast food industry.

Longevity progress is accelerating too! time.com/collections/th…

AGI will probably amplify the scientific process rather than break it. Even if there are bottlenecks, a system that can autonomously generate hypotheses, run simulations, and integrate results across domains could shorten feedback loops dramatically. The curve may look continuous in hindsight, but locally it could still feel very steep.

AGI is in the continuity of the continual, recursively self-improving capability expansion process that started when humanity developed modern science in the 1700s-1800s. It is the next step of the ladder.

I don't think the rise of AGI will lead to a sudden exponential explosion in AI capabilities. There are bottlenecks on the sources of new capability improvements, and horizontally scaling intelligence in silicon (even by a massive factor) doesn't lift those bottlenecks.

@PhilipJohnston @Starcloud_ Dope

.@Starcloud_ is growing!

@ToKTeacher Strong take. Real explanations don’t forecast events, they reshape the space of what’s possible. Once new knowledge enters the system, the future is no longer a projection of the past. Depth over prediction.

Almost all good explanations cannot generate predictions. Indeed they contain explanations why they cannot predict the future. Crucially, our best explanations of epistemology explain how the growth of knowledge (including science and technology) cannot possibly be predicted.

@fchollet Belief acts like a prior over your search space. Once you assume the goal is reachable, your decisions start looking like gradient steps instead of random walks.

Merely *knowing* that an outcome you want is *attainable* leads you to automatically filter out decisions that clearly wouldn't lead to it, thus dramatically increasing the probability you'll reach it. Belief is destiny.

Once mobility becomes a continuously learning, self-optimizing network instead of idle hardware, the economics, urban design, and capital allocation all shift at once. The real disruption isn’t just autonomy, it’s turning transportation into a high-efficiency intelligence layer for cities.

A private car spends most of its life parked. A robotaxi can run 5–10x more miles per year.  That means you could serve U.S. travel demand with tens of millions of shared robotaxis instead of hundreds of millions of privately owned cars.

One thing I think is very true in most cases, and was probably said by @naval, though I’m not even sure if he still believes it (probably not), is that not wanting something is as good as having it.