mizzao

> A truly skilled developer who makes a genuine attempt should be expected to solve 99% of their tasks within the same business day as of October 2026.

Agreed, and in fact even pre-AI good development teams weren't limited by speed of code generation (how to build it), but rather making the right thing (what to build).

With AI, in the long term open source code might actually become more secure than obfuscated closed source, since it's had so many more (AI) eyes looking at it.

Assuming this would even work (unlikely), I suppose it's a good opportunity to take advantage of VC-subsidized plumbing repairs — if you're willing to take the risk.

Turns out that abundant automated labor doesn't create a post-scarcity world where people don't have to work — it just concentrates even more power in the hands of capital.

NYC is a much different feeling than the rest of the US. 70% of residents are either first- or second-gen immigrants, and you can find people from every corner of the world here. It's one of the few places where the American ideal yet lives on.

It sold off 1% yesterday and then went back up 0.5% today, hardly a signal.

"Not Invented Here" syndrome will be back with a vengeance!

I think if you build a product that takes a lot of serious AI work to both build and run, it's going to be hard to replicate just like past "good products" were hard to replicate. It's just that the bar for what's "hard to replicate" is way higher than before.

People need to eat, sleep, be healthy, have shelter, feel loved, be in communities...

Coding has been transformed but none of those areas of our lives have been substantive transformed by AI yet. Whoever does, will create a lot of value for the world.

The swarm-based HF hack, and the observation that 40-50% of the compute at AI labs goes into training the next generation of agents, doesn't count?

We're all over here using agents to code projects that used to take weeks and feeling pretty good about it, and they're using agents to build the next generation of frontier models — an order of magnitude more complex problem...

Whenever someone finds out how to apply this level of agentic sophistication to a problem that actually matters to consumers, then you'll have that monument that everyone can see.

Most of those "trucking companies" are just self-employed truck drivers...

500k trucking companies = 1 company per 700 people in the US, which would be crazy if they were actual organizations

Bypass paywall: https://www.nytimes.com/2026/09/25/technology/openais-ai-us-...

Are you using Linux or a different OS, and what GPU / how much did it cost?

Is this just because LLMs can't do math directly? If so, they can certainly write scripts to do math though and those will be a lot more reliable for queries.

Bypass paywall gift link: https://www.nytimes.com/live/2026/09/21/business/trump-white...

Berkshire Hathaway is in some sense also PE (though done by a public company that you can invest in) and Warren Buffett's culture is to find great companies run by great managers and let them cook. That long-term view is the exception and not the rule though.

It's probably related to "the optimal level of fraud in a financial system is not zero" and reducing false positives would make way harder for everyone to get loans, which is bad for both banks and consumers.

Control of the money, the software infrastructure, and social support is key to a coup. Legal correctness is very weak leverage.

Similar to a government coup where you need to control the money and the military.

Is there an analogy here to the phenomenon that senior {engineers, designers, PMs} are now able to be insanely productive with AI, but it's also very hard to train junior folks to develop the sense of judgment that senior folks have?

I've found this book to be particularly instructive in understanding how policies across the world ended up neglecting citizens and pushing them to the far right, from Trump to AfD and everything in between. It's made it clearer that these are common symptoms that arise from systemic problems, not one-off idiosyncrasies.

After the Fall: From the End of History to the Crisis of Democracy, How Politicians Broke Our World

https://shapiro.macmillan.yale.edu/publications/books/after-...

If someone takes a bunch of good ideas and turns them into an essay with the help of AI, does that make the ideas inherently untrue?

Also, corollary from the above: you want to make lawyers happy in an acquisition because of the above, which allows you to sell for more $

I strongly disagree with this on the steak part and maybe the coffee too. Many people pride themselves on buying expensive ingredients and thinking they have the best steak but it actually sucks.

To get good steak you don't need USDA Prime dry-aged steak. You just need USDA choice, picked for a bit of marbling, salted the day beforehand and dried out uncovered in the fridge, then a ripping hot heat source (grill or cast iron etc) to get a good sear on the outside (reverse or not) and a thermometer to hit medium rare on the inside.

Even a modest steak made this way tastes better than a prime steakhouse steak that was doused with salt right before cooking, where you're going to get hypertension immediately yet the meat tastes weirdly unflavorful.

To extend this analogy further, consider making BBQ brisket Texas style. Brisket is a cheap cut of tough, fatty meat. The input quality matters even less there, and it's all dependent on chef skill. Same thing with sourdough bread — 4 ingredients, all outcome depends on skill.

Source: we make an app that teaches people how to cook (https://parsnip.ai)

We started with no design expertise of our own and over 2 years, learned the ropes and evaluated 300+ portfolios in our designer hiring process. I wrote these notes up in case they might be helpful to any early-stage startup that's trying to get a lay of the land.

Paywall bypass: https://www.nytimes.com/2026/07/28/us/ice-arrests-airports-v...

Or we can just start school later because kids no longer need to leave at 2:30 to go help on the farm.