The way it was presented with regards to search engines was that it was supposed to pull data that was more up-to-date than when the model was trained. It does do that, actually, and provides better results too, on average anyway.
But that’s just one domain, and “better” doesn’t mean “good” or “accurate”. In most domains, at least where I work, we’ve found that RAG overcomplicates things for little benefit, unfortunately.
The way the current systems are trained simply doesn’t allow for accepting and adopting new information continuously.
As further evidence of this, RAG was supposed to enable this. Instead, we’ve found that RAG was nothing more than an overused buzz-term that has limited applications, and often results in hallucination anyway.
If he has a rash being formed by the cream, then that means he’s having a negative reaction to it and should not continue using it.
I’m curious what that rash could actually be. I have my hopes, but it doesn’t look like something good. If he really is taking an excessive amount of Aspirin (presumably to reduce the risk of a heart attack), then it could be as simple as his collar being too tight or rough on his skin. Based on the response they gave, that seems unlikely, though.
No idea who told you this, but MS employees use Teams exclusively.
As for it being terrible, it’s unfortunately hard to find a competitor that does better with the same feature set (video/screen sharing/text channels/sso/tenants/etc). Many get close (like Slack) but none have the whole package.
Since the bottom of an article is usually the least visible, I’ll paste this here to make it more visible:
“The Copilot Discord channel has recently been targeted by spammers attempting to disrupt and overwhelm the space with harmful content not related to Copilot. Initially, this spam consisted of walls of text, so we added temporary filters for select terms to slow this activity. We have since made the decision to temporarily lock down the server while we work to implement stronger safeguards to protect users from this harmful spam and help ensure the server remains a safe, usable space for the community,” a Microsoft spokesperson told Windows Latest.
Microsoft added that blocking terms such as “Microslop,” along with other phrases in the spam campaign, was not intended as a permanent policy but a short-term mitigation while the company manages to put additional protections in place.
Whether it’s true or not that the policy was temporary, I guess we’ll see.
What in the English language?
Thanks for clarifying that.
HeliBoard is a privacy-conscious and customizable open-source keyboard, based on AOSP / OpenBoard. Does not use internet permission, and thus is 100% offline.
Any headline that misuses the word “martyr” raises red flags for me anyway. They didn’t die to further a cause. They died because a bunch of terrible people decided to kill innocent, uninvolved civilians.
This is the kind of stuff that trump and his ilk are all about.
To build on this, the anti-American sentiment is what fuels the xenophobia of that party. “Fuck America” is what makes people go “ya know what let’s just not have allies anymore” and start threatening everyone.
Nuance isn’t that hard. It’s simple, actually. Fuck the people who are in charge of and in support of these decisions. Fuck the people who actually gain from fucking over the rest of the world.
It’s not like Trump intends to listen to me or my trans husband anyway. If anything, even against the NRA’s wishes (by some miracle), he wants us to be ineligible to even own a gun.
In some cases, it appears to be the opposite: CEOs want to do mass layoffs, so they blame AI rather than taking accountability themselves. The Amazon layoffs reek of this.
had people understood from the start the limitations of it, investment would’ve been more modest and cautious
People did understand from the start. Those who do the investing just didn’t listen, or they had a different motive. These days it’s impossible to tell which.
And by “people” I’m not referring to random people, but those who have been closer than most to the development of these models. There has been an unbelievable amount of research done on everything from the effectiveness of specific models in niche fields to the ability to use an LLM as the backend for a production service. Again, no amount of negative feedback going up the chain has made a difference in the direction, so that only leaves a few explanations on why the investment continues to be so high.
Could also do this:
#[expect(lint, reason = "TODO: #issue")]
Edit: to clarify, #issue is an issue number that points to a related issue or task. Could also just explain it inline, but if you have a task tracker, better to make a task instead.
There are enough grammatical errors for me to assume incompetence over malice here. In either case, the percentages were clearly calculated incorrectly, and I’d question the results and want to verify them myself.
More complicated Tor, but super cool. It uses garlic routing rather than onion routing to further anonymize packets.
It’s worth reading into what it is (and especially those two terms) to get a better understanding.
Not exactly. Thinking models just inflate the context window to point the model closer to your target. GANs have two models which compete against each other, both training each other, with the goal of one (or both) of those models being improved over time.
This is unironically what I’ve seen people try to do, except they assume the second AI is correct.
Unrelated, but this is how GANs work to some extent. GANs train during the back-and-forth though, while LLMs do not.
Which outputs are accurate, and which ones are inaccurate? How could you tell? What steps did you take to verify accuracy? Was verifying it a manual process?
“Leave the rest of the world alone” as if Iran and Israel wouldn’t still be at war if the US was uninvolved lol.
Dolly’s name is already on a lot of stuff in Tennessee. Heck, Dollywood is named after her.
I don’t think there’s much objection either to slapping her name on things, which is rare.
Surprisingly, this one’s completely new to me. It’s creative too. Gotta give praise where it’s due lol.