Abhishek Konda

No Offence to Oxygen, but I live bcoz of Data.

[テニス6年生のインプレ日記 @fTR2JPf4s1MZOYj]

テニス世界ランキン���1位のアルカラスもやってる。これマジで腰痛にきく。これ始めてからぎっくり腰0になった。

[Shravan Venkataraman @theBuoyantMan]

If you're in your late 20s or mid-30s, this is literally a golden opportunity. You get such opportunity once every 5-10 years, and basically a massive crash once every 20-30 years.

If you invest properly during such a time, you could be more okay than most in your 50s and onwards

[Muscle Hub @MusclezHub]

Most people wait for energy to come back.

This guy generates it on demand.
2–3 minutes of intentional tapping + twisting resets the nervous system, wakes up stagnant areas, and leaves you calmer and more charged.

Try it once tomorrow morning.

[limitlesstack @limitlesstack]

> surgeons are on it
> astronauts are on it
> sam altman is on it
> the white house is on it
> the french military is on it
> air force pilots are on it

do you understand now?

[𑘦𑘮𑘰𑘨𑘰𑘬𑘿𑘘𑘿𑘨𑘰𑘝𑘦𑘨𑘰𑘙𑘲𑘓𑘮𑘪𑘲 @memumbaikar2018]

The biggest concern is that if any startup actually comes up with a breakthrough innovation, the Gujju-Pijayins(GJM) cartel won't let them survive independently. They will either throw insane amounts of money around for a hostile takeover or leverage the government machinery to crush the innovator, forcing them to hand over control to their cartel.

[paracelsus @dogalmaxx]

Ana akım fitness, erkeklerde "Glow-Up" kavramını sadece estetik bir dış cephe boyaması olarak pazarlar: Bol tavuk-brokoli ye, karbonhidrat tüketme, NoFap yap, çeneni sık ve yüzüne binlerce liralık krem sür.

Gerçek bir maskülen Glow-Up; dışarıdan sürülen kremlerle veya bedeni ++

[Berkay @bitkinbiriisi]

Bir yıldan fazla şekilde yapıyorum bu hareketleri, karın kaslarım gözle görülür şekilde büyüdü yağlar eridi sıkılaştım. 2 hafta şans verin karın bölgenizin sıkılaşmasını istiyosanız

[Patrick OShaughnessy @patrick_oshag]

Neil Movva (@neilmovva) started his career at Nvidia, working on GPUs and kernels, and has an unusually deep understanding of inference, from software to chips to power.

We spend a lot of time on each of those layers, how they connect, and where the important tradeoffs are.

What makes this conversation special is how detailed it is (like a 401-level class), yet Neil makes it remarkably clear and easy to follow.

Today he runs Sail Research, a company building infrastructure for agents to make tokens as cheap as possible.

We discuss:
- Latency versus throughput
- Why there are no bad chips, only bad pricing
- The end of kernel engineering
- Buying chips and power no one else wants
- New chip architectures
- Nvidia lore + his contrarian view of the company
- Open source and the frontier labs

I learned a ton. Enjoy!

TIMESTAMPS
0:00 Intro
0:38 Building a “Token Factory”
4:21 The Future of Background Agents
13:09 Nvidia and the GPU Stack
23:27 Chips, Memory, and Transformers
36:14 The Future of AI Training Data
44:32 Chip Scarcity and Compute Arbitrage
52:44 Reinventing the AI Data Center
59:01 Power and the “Scavenger Strategy”
1:10:10 Open vs. Closed AI

[Manosai @manosaie]

I think being able to communicate like this is an exceptionally valuable skill

I am long @neilmovva

[Naval @naval]

One of the best recent podcasts on AI. Neil has a gift for explaining all of the jargon and insights simply.

(I’m not involved, just found it unusually educational).

[🌞 @Mobius_Drip]

Fucked a lady at a music festival in Panama in 2016 nearly identical to this woman but with a bigger rack. Batshit crazy but we fucked like animals for two hours on mescaline+MDA. When I nutted I was practically screaming. She introduced me to her husband later. Hope she’s well.

[Rossst.03 @Rossst_03]

Sukhendu Das, IIT Madras professor:

"Jump Trading pays a 23 year old $500,000 a year for one skill: given the odds, pick the one move that makes the most money on average. that rule is the first thing this professor proves on a free chalkboard, and it costs nothing"

this free lecture is the decision rule sitting under every trading bot and every hedge fund model on the planet.

strip away the AI and the neural nets and one question is left. given everything you know right now, what is the single best bet.

there is a mathematically correct answer. it is called the Bayes decision rule, and it turns a probability into the one action that maximizes your payoff. every profitable bot is just this rule running fast.

Das builds it from zero, on a blackboard, in notation a beginner can follow. the odds go in, the optimal bet comes out.

Wall Street rents this out as a $500,000 edge. an IIT professor hands you the rule itself for nothing.

[John Mason @johnkmason]

God damn. I cannot recommend more strongly that everyone, EVERYONE, whether you’re an Eng, pm, or even investor/finance bro, watch this. At LEAST the first half. @poteto was on the react compiler team at meta and an EM at Netflix.

What struck me most is the CLEAR skepticism she once had about agents, how she talks through all the problems IN DETAIL, but how she systematized solving those problems and sort of climbed up the hill of agent incompetence despair.

[Dhruv kumar @Dhruvkumar16797]

This guy literally explained why some people become successful while other stay average.

The reason is uncomfortable. Game Theory

Watch this:

[ℏεsam @Hesamation]

If Paul Graham convinced you to build a LLM from scratch, this book by @rasbt is a solid choice.

you can also watch Umar Jamil’s (@hkproj) youtube videos which are a great combination of theory and coding in PyTorch.

[Rossst.03 @Rossst_03]

Mrityunjoy Chakraborty, IIT Kharagpur professor:

"every hedge fund, every trading bot, every bet you have ever made obeys three rules. Citadel pays $500,000 to people who truly understand them. this professor writes all three on a blackboard for free"

these are the axioms of probability, the ground rules sitting under all of it.

three simple statements. a probability is never negative. something is certain to happen. separate outcomes add up. that is the entire foundation.

get comfortable with these three and every model in finance becomes readable. skip them and you are just guessing with extra steps.

Chakraborty proves them from zero, slowly, in notation anyone can follow.

Wall Street rents you these rules for half a million a year. an IIT professor hands you the deed for nothing.

[Rossst.03 @Rossst_03]

Mrityunjoy Chakraborty, IIT Kharagpur professor:

"Jane Street pays a 22 year old $500,000 a year for one skill: turning uncertainty into a number you can bet on. that number is the first thing this professor teaches, and it is free"

this free lecture is the foundation every quant bot and hedge fund model is secretly built on.

before the AI, before the strategy, there is one question. what is the chance this happens, exactly.

get that number right and every bet after it is just math. get it wrong and no model, no bot, no amount of compute can save you.

Chakraborty builds probability from the axioms up, on a blackboard, in notation a 15 year old can follow.

Wall Street sells this as a $500,000 edge. an IIT professor hands you the source code for nothing.

[Zaid @zaidmukaddam]

found this resource last night, absolutely no idea who'd sit down and build such a thing

https://t.co/TaTk1DSFVA

[Bombay Boy @abombayboy]

Bro at this point the only thing stopping you is you

Just say the word

And AI will literally do everything else

You're just need agency and intention

That's it

[Nicolas Hulscher, MPH @NicHulscher]

We found 84% of cancer patients taking ivermectin + mebendazole declared their cancer had COMPLETELY DISAPPEARED, SHRUNK, or STOPPED SPREADING after 6 months.

Our study is now PEER-REVIEWED and PUBLISHED by the International Institute of Anticancer Research.