Maybe true, but even at $3500 the Vision Pro would be about the cheapest thing in the operating theater anyway.
Mine’s more like an LLM - exposed to a vast quantity of technical terms that they don’t really understand, but can mash them together well enough to make coherent-sounding statements in JIRA
I honestly think the tiny fraction of MAU might be the reason. Something like once you exceed a Dunbar Number of contacts in a community it starts to go downhill.
I like big butts and I cannot lie
Or
when a girl walks in with an itty bitty waist and a round thing in your face you get sprung
Really that whole song is a masterpiece.
In UNIX-y systems ./
is your current local directory, so if I was in /usr/home/will
and I extracted your file I would expect any file that was like ./foo.txt
to be extracted to /usr/home/will/foo.txt
, and if there were files like ./testar/bar.txt
, they would be extracted to a new directory /usr/home/will/testar/bar.txt
– or is that not what you’re talking about?
Assuming it’s a regular porcelain bowl I’d try Barkeeper’s Friend next, it’s a mild abrasive made from something weird like rhubarb.
Used dryer sheets work well too. Wet, scrub, rinse. Takes off hard water stains and soap scum as well or better than vinegar in my experience.
Who is your PM or senior assigning the tasks? You need to take this up with them – everyone always needs a couple of quick hits in their back pocket. When you stall out grinding on task after impossible task it kills your motivation and productivity, and that’s your boss’s job to fix.
Fair enough. ML ⊆ AI then. But these days when everyone talking breathlessly about AI taking away jobs they’re almost always taking about LLMs. This article is about ML in particular which is a different discipline with different applications.
ML =/= AI. There are legit uses for ML that don’t have anything to do with LLMs and the cloud. I worked on an ML project 3 or 4 years ago to listen for fan noise that might indicate that it was about to fail soon. We trained a tiny GAN on good and bad noises. It runs on a tiny CPU, locally. Highly specialized work, and I have to imagine there are and will continue to be lots of similar opportunities to bring efficiencies by getting computers to make good observations and decisions - even if only about “simple” things like “does this thing seem like it’s about to break?”
Having a hard time determining whether this is sarcasm or not. Then I see the phrase “JavaScript Engineer” and become doubly confused.
The Wreck of the Edmund Fitzgerald
Don’t go boating in a storm, folks.
As an anecdote, I work at a midsized software company as a product manager. I have an international team of about 20 that I manage from home (full-time remote). Overall there is some loss of speed and agility versus having a full-time in-office staff. I’m not a fan of trying to quantify productivity per se, but for things like estimations and deviations there’s no question that in my environment at least, things move a little slower and take a little longer. Now personally, the fact that we can hire engineers anywhere across the globe (including in LCOL areas), don’t have to pay rent and related fees, and that some of the best engineers specifically want full-time remote more than outweighs the reduced agility (putting aside all of the other potential QOL benefits) – and if needed, some of the savings from reduced rent and salaries could be used to expand the team anyway. Thankfully my management team agrees and has continued to pursue a remote/hybrid environment. But for those places that value speed and agility most it could be a bit of a problem.
When did we get away from saying “X - formerly known as Twitter” ? I liked seeing that gentle nudge in every headline.