I would also recommend explaining the specs and doing a lot of your back and forth with a lower end model and set it to a higher end model only once the conversation history has all the context you feel the higher end model needs.

To borrow the same analogy from the article, image trying to savor a meal where someone else was deciding when you take each bite. Even at a slow pace, the rigidness of the pace and your lack of fine control would still pose a problem with giving each bite it's rightful consideration.

That being said I love audio books and think I would struggle to apply this article's advice in my own life. Slowing down your audiobook is still a step in that direction, though I sometimes find that slowing it down can cause my mind to wander and my comprehension goes down and not up.

It's the necessities that people will continue to buy (or at least replace with close substitutes), regardless of what happens to the price.

Obviously, in this case it worked out much differently, but no, in general you can't say the wealthy people don't respond to price changes due to their wealth.

I agree there is a scarier potential there. And also some do, on occasion, escape their context (mostly credit score). They also have bigger contexts, but not so big that I would jump to the Chinese social credit comparison.

I looked it up, and it was a 3 pence tax per pound. When tea was selling for 2 to 3 pence per pound. So yeah, a 100-150% tax combined with the fact that the East India Company was allowed to sell without paying the tax. That is very unjust and threatens their business a lot more than the tax alone.

While a lot of people have used various methods to try to gauge the strength of various AI models, one of my favorites is this time horizon analysis [1] which took coding tasks of various lengths and looked at how long it takes to humans to complete those tasks and compared that to chance that the AI would successfully complete the task. Then they looked at various threshholds to see how long of tasks an AI could generally complete with a certain percent threshold. They found the length of a task that AI is able to complete with a various threshholds is doubling about every 7 months.

The reason I found this to be an interesting approach is both because AI seems to struggling with coding tasks as the problem grows in complexity and also because being able to give it more complex tasks is an important metric both for coding tasks or more generally just asking AIs to act as independent agents. In my experience increasing the complexity of a problem has a much larger performance falloff for AI than in humans where the task would just take longer, so this approach makes a lot of intuitive sense to me.

[1] - https://theaidigest.org/time-horizons

I'm not sure this would fit the definition of a product safety defect.

You don't expect Microsoft or Adobe to issue fixes any time someone finds a remote exploit that let's attackers gain control of you system though security issue in their software? I 100% expect this of my software vendors even for this purchase in the past. The expectations for software and hardware are certainly very different, but even for hardware we have laws that force companies to fix their hardware in some situations.

Both "prompt canarying" and "decoy system prompts" give 0 hits on google. Those aren't real things.

Have you considered that that might be the goal of releasing trickles of information about the film prior to its official release? It makes collected information feel more exclusive to super fans and encourages fans to interact with each other on social media providing fuel for Bjork focused communities. If collecting this information feels exhausting instead of exciting to you... why are you trying so hard to collect it? Just wait for the actual release.

> We need critics who devote their lives to browsing through the pile and telling us what is worth our time and what isn't.

I don't understand how you expect a critic to tell you whether its worth your time based on a collection of pre-release rumors and interviews. For deciding if its worth my time, I mainly want to hear from critics who have seen the upcoming media and I want to hear their opinion on what they saw. Why would I care to hear Ebert and Roeper's opinion on what the actors said in their press release tour? Unless it was something especially newsworthy and they wouldn't need to go digging for that. I just don't see how a critic's review would be enhanced by "devoting their lives to browsing through the piles".

> Failure to impose the RealPage rents could lead to landlords being expelled from the organization, according to the suit.

Makes this arguably much more over the line than just a bunch of landlords that happen to use the same pricing algorithm. Landlords being pressured to not use the algorithm however they want, say setting their price $100/month below the algorithm, under threat of losing access to the algorithm may be what ultimately loses this trial for them. If that is the case, we may not get to a ruling that resolves the legality of the more general practice of many people using the same pricing algorithm.

https://en.m.wikipedia.org/wiki/Fourth_power_law

Even if you start counting anyone that works for a company even partially owned by a billionaire, about half of us employees work for small businesses: https://www.forbes.com/advisor/business/small-business-stati...