The thing I find amusing here is the direct quoting of Gemini’s analysis of its interactions as if it is actually able to give real insight into its behaviors, as well as the assertion that there’s a simple fix to the hallucination problem which, sycophantic or otherwise, is a perennial problem.
Now if he rolls these into Tesla he’ll be on his way to ticking off one of the requirements to unlock his completely legitimate cagillion dollar pay package.
Reading through a bit it sounds like it works on Linux, not on Windows. Folks are hypothesizing it’s disabled at the ACPI level because different drivers don’t help.
In my area Xfinity cable has decent upload now, though it still trails fiber. Doing a speed test just now I get 2 gigabit down and 300 megabit up and I pay $85/month with a five year price lock. This is a relatively recent phenomenon so worth checking out if you can get a similar package. Prior to this I was getting 25-32 megabit.
I’ve never made my friends or family pay, but prior to getting decent upload bandwidth I did cap remote streams / concurrent transcodes and let people duke it out fist come first serve. Mostly it was fine. I’ve given maybe 15 people access, but only a few are regularly active.
I also keep a small offsite server at a family members house that splits some of my user base and serves as an offsite backup.
I’m genuinely impressed the mic could pick up Zuck’s voice from so far up Trump’s ass.
I’ve used cursor quite a bit recently in large part because it’s an organization wide push at my employer, so I’ve taken the opportunity to experiment.
My best analogy is that it’s like micro managing a hyper productive junior developer that somehow already “knows” how to do stuff in most languages and frameworks, but also completely lacks common sense, a concept of good practices, or a big picture view of what’s being accomplished. Which means a ton of course correction. I even had it spit out code attempting to hardcode credentials.
I can accomplish some things “faster” with it, but mostly in comparison to my professional reality: I rarely have the contiguous chunks of time I’d need to dedicate to properly ingest and do something entirely new to me. I save a significant amount of the onboarding, but lose a bunch of time navigating to a reasonable solution. Critically that navigation is more “interrupt” tolerant, and I get a lot of interrupts.
That said, this year’s crop of interns at work seem to be thin wrappers on top of LLMs and I worry about the future of critical thinking for society at large.
Their analysis also revealed that these nonclinical variations in text, which mimic how people really communicate, are more likely to change a model’s treatment recommendations for female patients, resulting in a higher percentage of women who were erroneously advised not to seek medical care, according to human doctors.
This is not an argument for LLMs (which people are deferring to an alarming rate) but I’d call out that this seems to be a bias in humans giving medical care as well.
My gut response is that everyone understands that the models aren’t sentient and hallucination is short hand for the false information that llms inevitably and apparently inescapably produce. But taking a step back you’re probably right, for anyone who doesn’t understand the technology it’s a very anthropomorphic term which adds to the veneer of sentience.