Ganesh

All things technology and science.

[Ganesh @mmsganesh]

Choose To Evolve.

You are being presented with a choice: evolve or remain. If you choose to remain unchanged, you will be presented with the same challenges, the same routine, the same storms, the same situations, until you learn from them, until you love yourself enough 1/2

[Demis Hassabis @demishassabis]

https://t.co/PTeDiv1b6L

[Satya Nadella @satyanadella]

https://t.co/xv6csf1SbV

[Naval @naval]

The secret to investing is to invest in unstoppable people building inevitable things.

[Ganesh @mmsganesh]

@karthikavl @niccruzpatane I think the plan for US is a larger SUV based on the CT and at a higher price point.

[Andrej Karpathy @karpathy]

+1 for "context engineering" over "prompt engineering".

People associate prompts with short task descriptions you'd give an LLM in your day-to-day use. When in every industrial-strength LLM app, context engineering is the delicate art and science of filling the context window with just the right information for the next step. Science because doing this right involves task descriptions and explanations, few shot examples, RAG, related (possibly multimodal) data, tools, state and history, compacting... Too little or of the wrong form and the LLM doesn't have the right context for optimal performance. Too much or too irrelevant and the LLM costs might go up and performance might come down. Doing this well is highly non-trivial. And art because of the guiding intuition around LLM psychology of people spirits.

On top of context engineering itself, an LLM app has to:
- break up problems just right into control flows
- pack the context windows just right
- dispatch calls to LLMs of the right kind and capability
- handle generation-verification UIUX flows
- a lot more - guardrails, security, evals, parallelism, prefetching, ...

So context engineering is just one small piece of an emerging thick layer of non-trivial software that coordinates individual LLM calls (and a lot more) into full LLM apps. The term "ChatGPT wrapper" is tired and really, really wrong.

[Santiago @svpino]

Literally everyone is freaking out over Codex like they didn’t do the exact same thing for Devin, Cursor, DeepSeek, and every GPT drop since 2.0.

The hype cycle resets every 3 weeks, and we all start everything all over again.

This is what we'll see over the next few days:

• OpenAI employees will claim they have been using Codex for a while, and it's writing all of their code.

• A few people will tell the story of how they casually asked Codex to finish an old project, and it did it all, and it was perfect.

• AI influencers will litter our feeds with "90% of people don't know this Codex trick" and "Cursor is dead" threads.

• AI doomers will tell us how the article they published in 1989 explains why Codex will never work.

• VCs will congratulate themselves and write posts about how Codex will enable the next trillion-dollar market.

• Someone will write a Medium post titled “How Codex Made Me a 10x Engineer (And Saved My Marriage).”

• 20% of YC founders will pivot their startups to Codex-related stuff.

And this will continue until the next shitty autocomplete drops, and we all forget about Codex and start the cycle all over again.

[Ganesh @mmsganesh]

Changing random stuff until your program works is hacky and bad coding practice.

But if it’s done fast enough, it’s called training the AI model.

[Ganesh @mmsganesh]

@SawyerMerritt Get up to $2,000 off the purchase of a Tesla with my referral link.
https://t.co/wGAbfF7vpm

[Mario Nawfal @MarioNawfal]

🇺🇸 STEVE JOBS: THE BEST MANAGERS ARE GREAT CONTRIBUTORS... WHO NEVER WANTED TO BE MANAGERS

"At Apple, we thought hiring professional managers would make us a big company.

It didn’t work—most were bozos who could manage but couldn’t do anything else.

The best managers?

Great individual contributors who never wanted the job but took it because they knew no one else could do it as well."

Source: BusinessX on IG

[Ganesh @mmsganesh]

@heyitsyashu Time for epic livestream

[Ganesh @mmsganesh]

@heyitsyashu I told you, restarting your livestreams is all that was needed to turn things around.

[Elon Musk @elonmusk]

@ajassy Impressive. My hat is off to what Amazon has accomplished with AWS.

[Brian Roemmele @BrianRoemmele]

How to make a CPU.

[Andrej Karpathy @karpathy]

# on shortification of "learning"

There are a lot of videos on YouTube/TikTok etc. that give the appearance of education, but if you look closely they are really just entertainment. This is very convenient for everyone involved : the people watching enjoy thinking they are learning (but actually they are just having fun). The people creating this content also enjoy it because fun has a much larger audience, fame and revenue. But as far as learning goes, this is a trap. This content is an epsilon away from watching the Bachelorette. It's like snacking on those "Garden Veggie Straws", which feel like you're eating healthy vegetables until you look at the ingredients.

Learning is not supposed to be fun. It doesn't have to be actively not fun either, but the primary feeling should be that of effort. It should look a lot less like that "10 minute full body" workout from your local digital media creator and a lot more like a serious session at the gym. You want the mental equivalent of sweating. It's not that the quickie doesn't do anything, it's just that it is wildly suboptimal if you actually care to learn.

I find it helpful to explicitly declare your intent up front as a sharp, binary variable in your mind. If you are consuming content: are you trying to be entertained or are you trying to learn? And if you are creating content: are you trying to entertain or are you trying to teach? You'll go down a different path in each case. Attempts to seek the stuff in between actually clamp to zero.

So for those who actually want to learn. Unless you are trying to learn something narrow and specific, close those tabs with quick blog posts. Close those tabs of "Learn XYZ in 10 minutes". Consider the opportunity cost of snacking and seek the meal - the textbooks, docs, papers, manuals, longform. Allocate a 4 hour window. Don't just read, take notes, re-read, re-phrase, process, manipulate, learn.

And for those actually trying to educate, please consider writing/recording longform, designed for someone to get "sweaty", especially in today's era of quantity over quality. Give someone a real workout. This is what I aspire to in my own educational work too. My audience will decrease. The ones that remain might not even like it. But at least we'll learn something.

[Interesting AF @interesting_aIl]

Have you ever heard of a game called "werewolf"?

[Ganesh @mmsganesh]

@karthikavl @chuckcook What’s a good reason to use only TACC instead of autopilot? I’ve never had a need to.

[Dr. Parik Patel, BA, CFA, ACCA Esq. @ParikPatelCFA]

Finance bros after using “bps” instead of percent

[Ganesh @mmsganesh]

@ChargeGoGroup Currently this is the best deal you can get after referral

https://t.co/2XlZmFfVy1