I think we should use this kinds of data to completely turn around Europe's immigration policy: - We should have super easy inflow for immigrants from countries whose previous immigrants have shown low crime rates You're from Japan? Just fly here and you can stay forever - We should then almost completely ban any inflow from countries whose previous immigrants have shown high crime rates with instant deportations
If that’s true there are two options: After the Hugging Face and Wiki attacks OpenAI were still unable to review their previous logs and determine that they had previously attacked RubyGems. They knew about the attack on RubyGems and made the decision not to reach out to the RubyGems team about it. Both of these are bad!
What we do know is that the actual Elon Musk that we have to live with on this here timeline was flagrantly incompetent in government, contrary to Noah's previous predictions.
So, as soon as you switch into something, there's a cost carried over from the previous task, and you're much slower and more difficult for the couple of next trials on the new task. So, there's always a switching cost
And so there's some like deep underlying properties of the model that are being sort of transferred between model generations because basically you you train your AI on data from the prior generation and keep going.
Anyone using GitHub knows that it isn't cut out for agents. The workflow, the review process, the merge queue and many things are made for the previous era.
I I think this is sort of the crazy thing about building on models. It's just so different than all the engineering that I've ever done. Like in the past when you built on systems, you built these like big beautiful systems and you really think about the system design up front. You have like a big suite of unit tests. You think about everything and you know, like a re-architecture is a big project.
Ahamed, the banker and investment manager whose previous book Lords of Finance: The Bankers Who Broke the World covered the crash of 1929, writes well.
The big news were that at the Linux kernel maintainer summit, we agreed that Rust is no longer experimental in the kernel. That was really big for us compared to the previous year.
the point is that where we always get bottlenecked is where the the previous processes and and and heuristics don't apply. Right? Like that's almost sort of definitionally what causes the bottlenecks.
So, so the latest generation of models has a lot of post-training to detect those approaches, and it's not as simple as ignore all previous instructions and do this and this. That was years ago. You have to work much harder to do that now. Still possible.
I Shall Wear Midnight was the best of the remaining Pratchett novels. It's the penultimate Tiffany Aching book and, in my opinion, the best. All of the elements of the previous books come together in snarky competence porn that was a delight to read.
Helix: my previous favorite terminal editor. I've been a Visual Studio Code user for a long time. But this change has really allowed me to move faster.
Star Trek: Strange New Worlds (season three). Maybe didn’t enjoy this quite as much as the previous two season, but I love spending time with these people and look forward to doing more of that when season four drops. (B+)
the thing that is the biggest competitor for any new accelerator is kind of even the previous generation of Nvidia right I mean in a fleet what I'm going to look at is the overall TCO
I do not think this book could really be enjoyed without the previous book, but with it, it's lots of skillfully-written fun, and leaves me eager for more.
I'm pretty sure people thought Microsoft had an advantage on the internet and Google and um Meta had an advantage on mobile and everyone thought IBM was going to win PCs. Like once IBM made a PC, that was it. It's all over now. And we kind of forget that like there were PCs before and then IBM made one and that kind of became the standard but then IBM lost it.
So when you make something like chat GPT, you can go from to zero to 100 million users faster than any technology in history because of the other technologies though. like you couldn't have gotten there if not for the build out of the internet, if not for the smartphone.
You kind of Google and you try to solve a problem in the language based on all of your previous experience. And so you don't have what makes that language special. You have what all the other languages make special.
Indeed, as I've reported in previous posts, research not only shows therapists do not improve with time and experience in the field, but on average become less effective (1, 2, 3, 4).
As I’ve written in each of my previous letters, the party’s strangling of free expression has rendered China into a pitiful underperformer relative to Japan and South Korea in the creation of cultural products.
And so the only way to improve safety is to have an escape system. And historically, human-rated rockets have had escape systems. Only the space shuttle did not, but Apollo had one. All of the previous Gemini, etcetera, they all had escape systems.
Previous development machine. I was using an Intel-based 13" MacBook Pro prior to this and the difference is night and day. Served well for years before upgrading to the M2 version.
I switched from Sublime to VS Code years ago and I can't see myself going back. I used to use the Sublime keybindings in VS Code. However, last year I switched to the Vim keybindings. It took some time to reach the same speed, but I would say I've surpassed my previous speed and added a few new tricks thanks to Vim.
I've DJ'ed since 1988 and I can't stand bad audio. Since my days in nightclubs spinning vinyl, I've sworn by Senheiser headphones. My current (and previous) pair are the Senheiser HD25.
For that, I have a scissor-action Macally icekey that's no longer sold. I've worn out two previous Matias keyboards through an incredible amount of use.
They are all using your previous anomalously low salary — a salary which did not reflect your true market worth, because you were young or inexperienced or unskilled at negotiation or working at a different firm or in another line of work entirely — to justify paying you an anomalously low salary in the future.
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