That’s what this is about… Continual training of new models is becoming difficult because there’s so much generated content flooding data sets. They don’t become biased or overly refined, they stop producing output that resembles human text.
That’s what this is about… Continual training of new models is becoming difficult because there’s so much generated content flooding data sets. They don’t become biased or overly refined, they stop producing output that resembles human text.
The helicopter example sounds like it would make for a great What If?. There’s so many good things in there I want answered.
Doing good work takes time to make money, execs need those quarterly bonuses right now. Much easier to do a bunch of layoffs and get that line up now.
The prime minister went to the scene to talk to reporters, they certainly seem to consider it a big deal.
They sold laptops with this feature at one time. https://www.youtube.com/watch?v=q5M0TwnkWUM&list=PLec1d3OBbZ8IBeFODHXLy0m0okuZhqJnT
And if you overthrew the ruling class, you’d still want to know how the new system was affecting various demographics. All systems have biases and the only way to account for them is to know about them.
These types of figures are still important to know. You want to see if certain populations are being affected disproportionately and have a baseline to work from when seeing how policy changes are working.
If you make a policy change and see recovery overall but you’re still getting 52% of Latinos reporting insecurity, you’ve done something wrong and you have data to back it up.
What’s funny is right at launch I would have seriously considered upgrading, but I’m on second gen Ryzen and that platform was deemed not new enough at the time. Now they’ve added a bunch of BS and even though I think they’ve removed the restriction I’m over the new shiny thing and am looking heavily into a full linux setup.
This is legal vs rude. It certainly is legal and was in the terms of service for them to use the data in any way they see fit. But, also it’s rude to bait and switch from being a message board to being an AI data source company. Users we led to believe they were entering into an agreement with one type of company and are now in an agreement with a totally different one.
You can smugly tell people they shouldn’t have made that decision 15 years ago when they started, but a little empathy is also cool.
Additionally: When you owe your entire existence and value to user goodwill it might not be a great idea to be rude to them.
I believe the effect is entirely topical, it just doesn’t hurt to ingest a little too. The fluoride ions trigger re-hardening of the tooth enamel and can take the place of missing calcium in the outer enamel structure, but those only happen when they hit the outer enamel in your mouth, you don’t regrow enamel on fully formed teeth
I can only really speak to reddit, but I think this applies to all of the user generated content websites. The original premise, that everyone agreed to, was the site provides a space and some tools and users provide content to fill it. As information gets added, it becomes a valuable resource for everyone. Ads and other revenue streams become a necessary evil in all this, but overall directly support the core use case.
Now that content is being packaged into large language models to be either put behind a paywall or packed into other non-freely available services. Since they no longer seem interested in supporting the model we all agreed on, I see no reason to continue adding value and since they provided tools to remove content I may as well use them.
The goal posts of … respecting basic copyright?
Assholes think everyone is ignoring them because they don’t mince words, but actually everyone ignores them because they’re not as smart as they think they are.
Abortion and the “southern strategy”.
Abortion access has been used for 60ish years as a wedge issue to drive religious people to the right wing party.
Sora can sometimes do 1 minute clips that mostly look ok as long as you don’t pay too close attention. We are incredibly far away from coherent, feature-length narratives and even those aren’t likely to be thematically interesting or engaging.
We made a tag that can’t be reliably and deterministically scanned so we also included a machine learning model that takes a good guess at it.
I just don’t see how you could possibly rely on a black box model for anything important. You have no way to mathematically prove if there are collisions in the model output or not, and newer versions of the model can’t be made backwards compatible. So if you have a database of thousands of these tags scanned, then they discover a critical vulnerability and provide a new model, you’re SOL and everything you have is worthless.
There are hundreds of gTLDs now, maybe everyone can stop abusing country code TLDs and leave them for their intended purposes.
Vaultwarden does at least, I’ve been using it with passkeys for the last couple months and it’s been great.
Whatever floats your boat…