Siddharth M

@emollick the enterprise procurement cycle runs on 12 month planning horizons and the models are moving on 3 month cycles, that mismatch is going to be one of the more quietly painful friction points in AI adoption for the next two years

Enterprises are going to actually want a coherent roadmap for the development of tools like Codex and Cowork, so they can plan and train and scale their use. This conflicts with the Labs’ vision where these tools rapidly scale exponentially in ability as models approach AGI.

It's raining, it's wet, it's Paris

This is what a useless hype lifecycle looks like.

Questions people will be writing about in the coming years: • Was it a Ponzi scheme? • Why didn’t more people worry about the circular financing? • Why were investors so blasé about the lack of profits? • Why wasn’t all the debt a bigger warning sign?

Now that Vijay has got the support of 118 MLAs, the Governor is going to send him back to do KYC, get copies of their Aadhaar cards and PAN cards, and get a small video from each confirming their consent (file size < 5MB).

The Met Gala was annoying when the world wasn't on fire. Now it just seems like a deranged spectacle by rich deluded sociopaths

The number of jobs in the future is endless because the problems to solve are endless. Jobs multiply as we get more complex. No AI or human can solve all problems and all the work to do in the Universe because those problems are limitless. The problems are endless and infinite. Technology and automation are nothing but abstractions. The old way gets automated and we move up the stack to solve more problems. We used to live in mud huts. Hammers and nails and boards automated parts of the old problem of "build a place to live." Once solved we got more complex houses and buildings that brought their own problems as they brought more complexity, so we got new jobs like stone mason and architect and more. Complexity breeds new problems and new solutions and new jobs. When we got steel and concrete we got skyscrapers. Each problem solved is an abstracted solution for a previous problem that stacks on top of other abstractions. That's all that automation and technology is at the deepest levels. The jobs are endless because the problems to solve are endless. Understand this and you understand the future. Misunderstand it and your error compounds and radiates out, corrupting your understanding.

Pan Shop in Czech Republic can be named Pan Prague

Man on Fire has been turned into a TV series on Netflix. I’m not here to disparage something I haven’t see, but I have one question: why? Just…why? Why touch Denzel & Tony? You think you can play The Beatles better than The Beatles? Please can we get more new stories around here

More money for worse work that you have to fix, good stuff this AI thing, thanks Nvidia.

Commercial Cylinder ₹1000 मंहगा नहीं हुआ है, ₹993 हुआ है।

Garlanded? Celebrated? For what-brutality, hate, and inhumanity? A society that honors the accused in such a crime must seriously question what it is becoming.

A 2025 study out of M.I.T. cautioned that “the integration of LLMs into learning environments may inadvertently contribute to cognitive atrophy.” This danger hasn’t slowed the advancement of A.I. in schools. newyorker.com/culture/progre…

"A decade ago, AI was supposed to replace radiologists. Today, radiologists make more than $500,000 per year, and their employment continues to grow, see chart below. Reading scans is a task, not a job, and when the task gets cheaper, demand for the job grows."

Faaaaaaaah

Swati Maliwal has officially joined BJP today. Can’t wait her to see campaigning for Brijbhushan Singh in UP and against female wrestlers in Haryana.

One of my first jobs was data entry at a car auction broker. A dozen people were entering condition reports & sales data for nationwide car resale. I'd been doing some Access 2.0 work on a copy of production for fun. One day, the whole network suddenly felt very slow and buggy. So I made a local backup of the database, just in case. Twenty minutes later. The network went down. Everything. An hour later, our director walked in with someone I'd never seen in tow. He was slumped over, sheet-white, and looked like he was five minutes on either side of vomiting. Our director announced that: - the database and all of our work had been wiped out - the backups had been broken for several weeks - we were going to be spending the next few weeks just trying to piece together thousands of hours of work we had already done once. I raised my hand and said I'd made a backup an hour ago, and asked where they would like me to upload it. They both stared at me (along with everyone else) like I had sprouted tentacles. Twenty minutes later we were back to work. No one ever said another word about it. No questions. No bonus. No thank you. This was a very worthwhile life lesson that has paid 100x dividends.

the beauty of a jagged frontier is that every failure is the user's fault and every breakthrough is the model's glory

Noticing an interesting version of gell-man amnesia where people use AI for their job and see all the various things they have to do in the “last mile”, but then look at someone else’s job and think that AI will eliminate it immediately. We all have a much deeper appreciation for the nuances and complexities of the work that we do every day. We run into issues about accessing data, we know how much context is needed to get AI models to work the way we need, we have to review the output of the AI to make sure it’s accurate, and then we have to incorporate that work into some broader business process. We see all those steps deeply for the work that we do. Then, a moment later, we see AI do something in a foreign space and think that it can go automate that entire function. We tend to dramatically underestimate the work that goes into making the AI work just as effectively in those jobs. This is reason to be skeptical about many of the theories of job loss. It’s coming from the lens of being able to automate individual tasks with AI, without understanding all the work that goes into doing the job fully.