It's not an extraordinary claim at all. They're just training the model on recent data. What reason do you have to believe that the model somehow learns significantly worse than it did during the original training run?
It's an extraordinary claim to go from: "the model has some knowledge past it's claimed cut off" (which is common sense given they've trained new checkpoints and has always been true even before those)
To "the cutoff date is now April 2023"
Based on the conversation posted.
The cutoff date is where you can deeply probe the model's knowledge and expect consistent performance: showing that some major headlines got captured in a recent checkpoint is nowhere near that.
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If anything I'd take not the headlines but the actual disclaimer as something interesting, because it might indicate a future checkpoint is going to use that cutoff and we're seeing signs of their RLHF based on that... but it's nowhere near as impactful as the cutoff changing.
I love cities that embrace street food. My home (New York City) is well-regarded for street food, but I found it that it's nothing in comparison to Mexico City where a vendor seems to dot every single street corner.
With our density, New York could have a much richer street foods scene if the permitting and regulations allowed it.
Go to China in the summer, especially in southern China where it is hot in the day and only bearable at night, night markets with just lots of street food are pretty intense.
Unless you want to be easily exposed to dangerous elements like gutter oil or fake food, which is prevalent in China, I recommend other food stall cities like Singapore or Taiwan.
Seconded. Taiwan is the superpower not just in semiconductor manufacturing but also in street food. Many quirky snacks from there repopulated the culinary desert of post-Maoist mainland, and bubble tea spread all over the world.
Gutter oil has been exceedingly rare in recent years in China due to extremely harsh crackdowns (literally death penalties were handed out). You will be fine these days in bigger cities.
Not sure why you would take Chinese government's word on anything, when they still refuse to accept blame for releasing covid to the world and killing millions, and giving long covid and removing smell and taste for many more.
I am an airbnb host, and exclusively rent out my own apartment on the handful of weeks per year that I'm traveling.
If airbnb was banned, my apartment would be vacant during that time. This would push tourists into hotels, driving up the cost of a hotel room, and furthering the affordability crisis since developers would see more upside in hotels rather than residential development.
I assume you’re joking but if you’re serious: hotels must go through extensive planning processes that include considerations for the local economy. Hotels provide jobs. Hotels do not increase the cost of living in an area and assuming local government is operating effectively, hotels should be a positive for the local community.
Residential development and hotel development is very different, both as a business and a practice. You would not choose to build a hotel in place of a residential building. That’s why Airbnb is so problematic: people are taking residential housing and turning it into a business.
There’s certainly some “ethical” Airbnb property owners but they’re a dying breed. If you’ve spent any time on Airbnb in the last few years, you’d see the majority of listings are for property specifically owned/rented to Airbnb it. There are public companies that are entirely focused on Airbnb.
Out of maybe the couple dozens Airbnb reservations I've made, only 2 that I can remember where for places that had a long term tenant living there and rented through Airbnb ponctually. Everything else was about half obvious disguised hotels (whole floor / building rented that way), or belonging to a particular but rented short term the whole year.
It just feels dirty to me now to use Airbnb, but that's not even why I stopped. It's now not necessarily cheaper than a hotel and with little recourse when you get a dud.
Any security researcher wanting to analyze the data (or Troy Hunt wanting to add it to haveibeenpwnd.com) will imply someone rewarding the seller, that's inevitable.
The sooner, the less the seller can make on this data.
A friend of mine is VP (not partner), and he seems to spend most of his time on deals. Market research, building financial models for a potential LBO, or for the sale of a portfolio company.
From what I understand, the on-the-ground management work after acquisition is outsourced to specialized executives with whom the firm has a relationship. They can bring expertise in a specific industry, and the deal structure pays them with large performance incentives.
Transactional staff are typically a minority of PE branded employees. There is a stable of executives to pick from. But underneath them, operational staff (who may also be drawn from transactional) who aren’t in on the upside typically come via the fund. They will work in a fund office, have fund swag, but work on operational reporting, portfolio surveillance, refinancing and cap structure management, et cetera.
