jessfyi

It's not dramatic, it's just something you personally haven't noticed. A quick search regarding Gemini weather hallucination shows it's both widespread and something not mitigated by recent model releases. It makes up other basic information or can't perform tasks that a simple assistant can do properly (e.g. mixing up calendar events, emails, can't navigate etc). Why defend what is clearly a move to increase a department's KPIs when you as a consumer receive less in return?

Always stuck to the flagship google models as my primary driver (starting with the G1 in college) for the pure google experience, but between killing assistant in favor of Gemini which can't do something as simple as telling me the weather without hallucinating and the sideloading lockdown shenanigans might as well switch over to Apple fully.

A sandbox that can be toggled off is not a sandbox, this is simply more marketing/"critihype" to overstate the capability of their AI to distract from their poorly built product. The erroneous title doing all the heavy lifting here.

Gonna be completely honest, if you want to draw in people with anything more than a casual interest in literature, your examples are an immediate turn-off. I suggest you spend time on subreddits of major genres + booktok + see what's trending on apps like Fable if you want insight into what books people outside of the silicon valley/techbro bubble consume and enjoy.

lmarena/lmsys is beyond useless, looking at prior rankings of models vs formal benchmarks or testing for accuracy + correctness on batches of real world data. It's a bit like using a poll of Fox News to discern the opinions of every American; the audience voting is consistently found wanting. Not even getting into how easily a bad actor with means + motivation (in this "hypothetical" instance wanting to show that a certain model is capable of running the entire US government) can manipulate votes which has been brought up in the past (yes I'm aware of the lmsys publication on how they defend against attacks using cloudflare + recaptcha, there are ways around that.)

The cases of NAION observed post-Ozempic usage in Denmark is 150 (up from 60-75) out of 424,152 patients, for a rare ailment that already affects patients specifically with diabetes. Sorry to say those taking it as a "shortcut" in your words are even less susceptible.

As someone who's been fortunate enough to be fit and able to work out their entire life, not sure how there are people like you who shun and shame those trying to gain a semblance of control over their weight in a world where it does have a real impact whether they get serious medical attention or not. Your likely skewed thoughts on vanity be damned, bigger people are treated worse across the board and GLP-1 is a genuine salve.

I used that period (vs saying they spent $110B between 2005-2021) to establish the fact that it's a known, expected pattern of behavior regardless of Intel's performance, roadmap, or market conditions to lead the reader to recognize that if bailed out they'll likely continue in the near future instead of utilizing that money for its intended purpose.

Instead of assuming my comment is a generalized view on how businesses should operate as whole (and not the subject of the piece), perhaps take a moment to consider how the magnitude of buybacks--in the face of stiff competition, that have now leapfrogged them--is directly correlated to the mismanagement and dysfunction within Intel that leaves them unable to rise to the challenge the country demands.

Any part of "saving" Intel should include a mechanism barring them from putting any more money that should be spent on R&D towards stock buybacks ($152B since 1990 as of September.) That said quoting the former Intel CEO (who still owns 3,245,986 shares) as "[one of the] expert[s] who says breaking up Intel won't do any good" seems like journalist malpractice--and makes me all the more certain it should be subsumed by a company with executives hungry to actually win again.

The conclusions reached in the paper and the headline differ significantly. Not sure why you took a line from the abstract when even further down it notes that it's that some elements of "truthfulness" are encoded and that "truth" as a concept is multifaceted. Further noted is that LLMs can encode the correct answer and consistently output the incorrect one, with strategies mentioned in the text to potentially reconcile the two, but as of yet no real concrete solution.

I was being generous and said "not even counting," but no despite the internal name change, most still maintain the "Chromecast Built-In" designation on their branding and sites which takes a mere second to Google and see.

If something that sells 100 million+ devices isn't "super popular", I don't know what is. And not even counting the millions of TVs that have it built-in (Hi-Sense, TCL, Samsung) the brand is pretty ubiquitous.