My two cents from the perspective of smaller financial institutions - cores do not care about making it easier for you to move off of them. They probably wouldn’t mind making it easier to move on, but core conversions are such a nightmare that they have dedicated onboarding teams for this with lots of tooling and knowledge, and since everyone else’s data structures are different, there’s no point standardizing your own.
Additionally, there are, like, three big players in the space (at our level, at least). When you’re choosing a core, you’re probably going to be more concerned by questions such as “what percentage of our total revenue will go to this one application” and “what features can we use to save us tons of work and money” and “will this make us more money”. You probably won’t be too concerned with whether converting off the core fifteen years down the line is super difficult or “just” pretty difficult. If you do ask, all three will give you the same answer anyways.
I don’t think the author fully understands IPO pops. For one thing, the beneficiary isn’t necessarily the company, but rather the groups (often large institutions) that bought the initial shares. In a lot of ways, an IPO pop represents the company leaving money on the table.
Additionally, they aren’t caused by some magic market mechanism that increases a companies price by x% when it goes public - they’re caused by the underwriters under-valuing the company (either deliberately or accidentally).
I agree that it’s unlikely this will mess up their lives much. I’m more criticizing the intent - “a guide for employers” seems to me like the intent is to make it hard for these people to find a job which feels to me like gross behavior.
I don’t know very much about the Israel/Palestine situation outside of what I learned in high school, so I have no idea who’s morally in the right… but assembling a list like this with the express purpose of rendering a bunch of college kids unemployable seems like gross behavior.
I had plenty of stupid opinions when I was 19, and I certainly have some today that I’ll cringe at in the future. It’s my hope that I’ll be able to grow and learn, and not have someone try to ruin my life or career over them.
The superstonk crowd were my first real interaction with people fully in on a conspiracy theory. It was a huge learning experience for me - I'd always sort-of believed that if I was ever face to face with, like, a flat earther or whatever, I'd be able to talk them out of their beliefs. Super naive, I know! Interacting on that subreddit though really hammered home that people in a conspiracy theory don't really _read_ your post, so much as flag it as non-conforming then dunk on it. It was pretty eye-opening for me, and I'm really glad noone in my life has drank the kool-aid on any conspiracies because I'm not really sure there's anything you can do.
Actually - fair enough, I think I was overestimating how much people consider the ability to use the output to train your own models important. I guess for me these felt really restrictive since that always felt like the end game - collect a bunch of data, then train a smaller, cheaper to run model for a specific use case - but I’m clearly an outlier!
The fact that Metas models have managed to be less accessible than fully closed, API-only offerings makes me really struggle to see the value here. If you’re willing to jump through corporate hoops, OpenAI can have you up and running in a few minutes, with few relevant restrictions for most businesses. If you’re willing to trade performance and ease of use for control, then there are plenty of open source models with decent performance you can fine-tune. Metas models are like the worst of both worlds - subject to restrictive licensing and approval with limited control (at least legally), but requiring a fair bit of elbow grease to get working compared to just hitting an API.
This is a great idea. Slow leaks - especially in walls - give me nightmares! Existing solutions all come with major caveats:
Water detectors need to be spread out, and are a pain to get behind walls
Manually watching the meter is a pain in the butt, and it’s unreasonable to do it often enough to reliably catch and issue before it gets expensive
Running around the house with a moisture meter is like a more involved version of the above, with more chance for user error.
If I ever run a successful business, I’m definitely going to have a “no posting about the business on social media” rule to avoid situations like this! I’m not sure who’s in the right or not, but reading through the tweets (almost) everyone involved ends up coming across as somewhat childish, which seems like a total lose-lose.
Does anyone know to what extent this compromises the device? I might have missed it, but didn’t see it explained in the article. Does the attacker get full access to the device, or do they only compromise a subset of the devices functionality?
Does anyone know of any sites that list out articles like this by language? I always find it tough to locate more advanced or "meta" articles like this that aren't just explaining basic concepts.
I believe the API (chat completions) has been private for a while now. ChatGPT (the chat application run by OpenAI on their chat models) has continued to be used for training… I believe this is why it’s such a bargain for consumers. This announcement allows businesses to let employees use ChatGPT with fewer data privacy concerns.
It’s literal dead weight. It’s especially bad because the bikes already don’t have great ranges (and the estimated ranges are often pretty optimistic), and extra dead weight cuts into your limited range even further.
I’ve found for tasks that require reasoning (or the illusion of reasoning), GPT4 continues to be much, much stronger than GPT3.5 - especially around handling unexpected inputs, determining the intent behind the instructions and applying that (instead of just following the instructions to the letter), and complex problems that require multiple steps of reasoning.
This is insanely cool. It’ll be interesting to see if this gets decent adoption, and whether the query language ends up being easier to maintain than sql.
These poor guards don’t have many other tools to get someone a out of a cell… all they have is pepper spray, batons, beanbag guns, tasers, body armor, shields, and a ten-to-one numeric advantage. How are you possibly supposed to get someone out of a cell without mauling them with a dog? /s
I think it’s more down to adverse selection… while some really smart people might be making decent returns via technical analysis or whatever, they’ll never disclose their strategies since someone else could frontrun them. Instead, the only strategies we get exposed to are the ones that don’t work, since the best way to make money on a strategy that doesn’t work is to find someone to sell it to. Like - it’s clearly possible to make money trading, because a very small amount of people seem to be able to do so somewhat reliably. But if someone is trying to sell you a trading course, they’re almost certainly more of a scam artist than a genius trading savant.
Hilariously, the accepted (I assume by default, not by the asker) answer is flagrantly breaking, like, half a dozen rules and guidelines… but because it’s cynically and unhelpfully crapping on a newbie, it stays up. Or maybe there’s a good reason for it to stay up, but at a glance it sure isn’t a good look.
I actually think SO is a great site and resource, but I also think a lot of that is despite the bitter old timers in the community, not because of them.
Stuff like that is really heartwarming… org identifies they aren’t safe enough and reaches out to an agency with experience in the area, then the agency coming in and helping make stuff safer instead of just writing a bunch of stuff up, charging some fines, and then leaving.
It feels ironic to me that Doctorow of all people would require a medium account to read his articles (at least on my device)… although I may be missing some context!