mlmonkey

> It's probably going to be a terrible earnings call in terms of capital expenditure, cash flow and new borrowing.

Now you know why they released it just before the earnings call.... :-D

As a driver, how would you track down the insurance company behind this trucking company? People have other things to do.

But there must be some compensation to be forced to become an unwilling participant in Musk's experiments! Otherwise what's the disincentive for these experimenters?

That's a different accident, and the last one involving a Tesla Semi (before the current one). The point they're making is: that one involved an actual crash, but this one did not. So we should investigate this thoroughly to see what happened (as the NTSB is going to do, of course), because large vehicles should not spontaneously combust on a public highway, especially one as busy as the I-880.

On a related note: I wish companies like Tesla, which are conducting live experiments on public highways and thereby inconveniencing 1000s of people when an experiment goes awry, are held accountable and forced to compensate those who got stuck on the highway, missed doctors appointments, job interviews, deliveries, etc. Maybe something like a fine of $5000 per driver impacted should be levied, and given to each driver?

I hear you, but my objection comes from the stress on "realism" in Google's post: how Genie4 is modeling the "real world" so well. If they didn't crow so much about realism, I wouldn't have cared as much.

> How often do things in the real world not behave exactly as you expected them to?

They wouldn't be called "Laws of Physics" if obeying them was optional. If your center of gravity is outside your base, you _will_ topple over. That's just how gravity works.

Out of curiosity: is it possible to take a frontier model and just let it loose on all math textbooks out there, converting each and every proof/theorem/lemma/etc. into Lean? A frontier model should be able to do that, right? And it's a one-time task: do it once and it's there for eternity, available as a library to be used in other proofs.

Maybe my understanding of Lean is wrong; I'm thinking of it as a programming language but for Math.

When Google's epitaph is eventually written, PMs will figure prominently as the catalyst for the rapidly accelerating decline.

In the clip with a marble bust dropped on a watermelon, at this point https://imgur.com/a/IHLnkUs the bust should've toppled over, if the physics were properly modeled.

Sadly, the stock is up on this news.

Reminds me of that one time my partner mentioned "Latino" in a meeting, referring to people from Central and South America in broad terms (this was a marketing meeting, where customers are naturally grouped together along various dimensions).

She was told to not use "Latino"; but to use "LatinX" instead. What hurt more was the implication that she was being insensitive.

When I learned of it, I asked my Mexican friends which one they preferred. None of them had heard of "LatinX" and were as confused as I was.

Can someone ELI5 ETH for those of us who slept through theoretical CS classes? Asking for a friend...

I found this interesting bit buried in the blog post:

> Independent research has found that some models write weaker code depending on who it's for. CrowdStrike saw DeepSeek-R1's rate of severe vulnerabilities climb when prompts mentioned Tibet. Booz Allen found three of four Chinese coding models wrote more vulnerable code for a government customer, with Qwen3-Coder roughly 130 percent worse. Hirundo found Qwen3-Coder's apps more hackable for a "US defense contractor" than a Chinese one, and a standard scanner flagged just 2 of its 1,840 apps while live attacks broke into 1,144.

Steven Wright: “I have a map of the United States... Actual size. It says, 'Scale: 1 mile = 1 mile.' I spent last summer folding it. I hardly ever unroll it. People ask me where I live, and I say, 'E6.”

Anecdotally (sample size == 1), I have observed that as my context grows longer, the model seems to get dumber. I'm not an advanced user with harnesses, etc.; I just use the chat interface, as that's all I can afford, but after a few turns the model (I'm talking frontier models here from OAI and Ant) seems to just do stupider things.

A wafer looks pretty big. I'm surprised it has only 44GB of memory available. Doesn't that seem a tad .... low? I'm not a hardware person, but I would have assumed much more memory would fit into a wafer?

Post-training _is_ a part of the whole training regime.

OK, found a writeup. Read Tim Redmond's article here: https://48hills.org/2025/12/the-great-pge-debacle-a-timeline...

I was off by a bit. Apparently, the City claimed to have run out of money just short of the finish line.

You can find more articles about PG&E and the Raker Act.

I saw this headline briefly when I came to HN, made a mental note to come back to it. A few minutes later, it's vanished. Not in the top 754 posts. Had to search for it. Such a shame, @dang!

Let me tell you a little story of corruption.

(details are from memory, so let's not quibble and argue over them, my autistic friends)

Back in 1906, after the Big Earthquake happened in SF, the US Congress took pity on the city of SF and built the Hetch Hetchy dam to provide the City with reliable water supply (so the City wouldn't burn down again in the next one). The dam would also generate electricity, and that power came free (except for transmission costs, because the City owned the generation infra). So they started to lay the power lines from Hetch Hetchy to SF.

But, as it just so happened, they ran out of wires and poles just before they could reach SF. So PG&E got the contract to finish off the last mile to the City.

And after it was all over, someone found the missing materials lying in some warehouse, rusting away...

Electricity does not have to cost so much in SF, given that generation is free. And yet we pay over $0.50/KWh in the City.

What are you guys complaining about? "17.8¢ a kilowatt-hour at investor-owned utilities" ?? Here in San Francisco we're paying close to 50¢ a kilowatt-hour!!

I remember once in India I took an Uber, and the driver asked for a good rating. He had been nice and I wanted to give him a 5-star anyways. But as I took out my phone, he helpfully grabbed the phone from my hands and proceeded to enter the 5 stars himself: "click this, and then this, and this ...". Just made me chuckle. He knew what needed to be done, and proceeded to do it.

AFAIK, the cleaning fee is determined by the host. They can charge whatever they want.

These are all self-inflicted wounds by AirBnB. I have used AirBnB a few times in the past, but these days opt for a hotel instead if I can.

They could take user feedback seriously, but chose not to. Case in point: we booked a place in Hawaii. We (2 people) arrived the day of, tired as heck from the beach activities. Place looked fine, except for the crumbs of food in the nooks and crannies of the kitchen. No big deal. We crashed almost right away, too tired to do anything else. An hour later, my wife jumped up, claiming some insect was walking on her legs. I turned on the lights sleepily, and lo and behold, there were cockroaches on the ceiling, scurrying about (and one had fallen and landed on my wife's legs). In the middle of the night, I contacted AirBnB help. They wanted proof. So I took a video and sent it, along with photos. Finally around 2AM they agreed that we should get out of there. We packed up and left for the beach, to wait things out.

My first reaction was: I should leave a review telling people about the roaches. But guess what? AirBnB cancelled our reservation, so there was no way to rate the place or leave a review! They did refund me, but we wasted a day trying to catch up on the lost sleep.

After that experience, I stopped booking AirBnBs if I could help it. They (and VRBO) are a last resort for me (no pun intended).

Google should just spin out DeepMind as an independent company and get out of the model building business: just sell tents and shovels as they say, and leave the actual (gold) mining to others.

What makes a "flash model" a flash model? Sorry for the ignorance!

Why TF would they not show the original??!

I have a feeling that the thrust versions (with thrusters) will find huge markets in the Middle East (UAE, Kuwait, Saudi, etc.), and maybe some other "few legal restrictions" jurisdictions (maybe the cartel bosses, African dictators, etc).

Several Chinese brands (like BYD or Xiaomi) have such offerings, but the US is too beholden to Musk to let them in.

And then Musk has the gall to claim India is not open to Starlink because Ambani is in charge! https://twstalker.com/elonmusk/status/2108604227643719745

Hummingbirds are weird. I had assumed that given the size of their brains, they'd be not as smart (naive assumption). But they are curious critters! I have a few who visit my backyard, where I have a chair which noone uses. The other day I decided to sit down in the chair and soak in the sun (a rarity in SF, I might add) with my eyes closed. And soon I heard a low buzzing sound, and what do you know? A hummingbird was hovering about a foot away from my face, observing me. It backed off a bit when I opened my eyes, but did hover around for a few more seconds before flying away. The control they have on their flight is unbelievable. They can hover with so much precision!

They keep announcing new cities, but do they really follow up and actually launch there? I remember a couple of years ago they announced NYC as a market, but I don't think they're fully launched in NYC yet.