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It's exhilarating (for the lack of the knowledge of a better word) to see OpenAI and Anthropic starting getting hacked and getting a taste of their own medicine. Brings back hope that actual software engineering is not dead yet.

Making transfers to those countries is almost impossible from Western banks. It would require sophisticated multi-bank international transfers to do that, which take a long time and are fairly easy to stop.

Yes, they can.

If it's a significantly large sum, it may look like this:

Step 1: The CEO of the debtor bank calls the CEO of the creditor bank and asks to return the money.

Step 2 (only needed if there is disagreement): Lawyers of the debtor bank send a ton of legal papers to the creditor bank and figure it out.

But it's just one of nearly infinite number of scenarios.

Not a totally related comment, but I thought it would be interesting to share. Today I needed to get some work done in a hurry and my plan reached 5-hour limit. Since I needed to get it finished and it was just the finishing touches on the ongoing work, I decided to add $5 balance in extra credits (they are consumed at API rates). It took one prompt ("Continue.") and maybe 5 minute on Opus 5.5 xhigh to burn through it without finishing what I needed. I added $10 more and asked to continue - a few more minutes and that was gone too. Thankfully, by that time it was nearly done so I decided against burning any more cash.

API rates are like setting money on fire, crazy, no wonder they are profitable.

“Was” isn’t the right word. As for “will be”, I guess we will see.

Predicting global events is next to impossible. Don't look at the predictions, as his prediction game has slowed and he has recently admitted that he was wrong on his predictions. Look at his exposing of financial shenanigans which let the bubble grow.

Lots of respect for him for staying unwaveringly principled while knowing when and how to adjust his expectations and predictions. He is really well informed and it's something else to watch him speaking live on the podcasts and be so specific with numbers. He really knows his stuff.

It's so funny how people's behavior converge to the same patterns over time. A few years ago I was using Google searches with "reddit" appended when I wanted to see genuine people's opinions, such as reviews. Later it started getting written in mainstream how everybody was doing it. Now you are saying about Google as a quick LLM chat (because it's easily reachable from the browser's URL bar) and that's exactly how I've been using it too.

So probably the rule is, if I have discovered some convenient usage pattern, it's very likely that many other users have it discovered independently, too.

Also, it's interesting to see how Google's value has fallen to the point when it's used mostly for very low stakes use cases.

It's at least not worse than Microsoft. Go and start a chat with Copilot. Which one? I don't know, they are all the same. Or maybe they are all different? All I know that if you start a chat in one interface, there is close to a 0% chance (but not quite) that you will find the same chat in another interface.

That agents with virtually unlimited computing resources can find these bugs is not surprising and of little interest at this point.

But can they fix and harden the software without introducing new bugs in the meantime? I would argue that over decades we have placed the industry in such feature hell that there will always be new critical attack vectors.

Now that writing the walls of code and building features is cheap, it is time for us, humans, to learn to reduce complexity in the software and to learn which features are not worth implementing.

Definitely there are many problems to this solution, such as what to do with existing billionaires. If it was up to me, I would say to them "figure it out, the late payment interest will start to accumulate soon". But realistically it could be done over multiple years and in stages to limit the negative effects.

Also, it doesn't have to be tiny at all.

Why couldn't there a wealth ceiling? Let's take $1B per person, everything above that is taxed at 100%. Would it destroy the capitalist dream and people would lose motivation to grow their wealth, or would it stimulate cooperation and wealth distribution?

I don't know. With each new release of these models, they compare side-by-side how they are better than the previous ones, but at the same time I feel less impressed by each new release. Somehow they manage to be a seemingly big step forward but at the same time I feel I have seen so much AI that I just look at the common failure modes and they are all still there.

It's easy for them to show demos of abstract things because they don't necessarily have to follow real-world rules, but anything modeled after real world falls short of expectations.

Would you use hosted models if they promised anonymity and no log retention and servers were physically located inside jurisdictions that respect privacy (Switzerland, Norway or similar, I'm not into law) if that meant better price/performance ratio than your current rig?

What's the point to provide it with Apache 2.0? It's likely going to get sucked into the LLM training or inference process sooner rather than later. By that time license is no longer going to matter.