Microsoft tried the same thing with those Surface tablets that ended up being used as iPad stands.
I always liked surfaces and have one. Granted, I run linux on it, but I do like it.
Yea I used one at work a few times. They’re fine devices, just not the sort of thing I’d use day-to-day. But they flopped hard, even with Microsoft trying to get news stations to use them https://www.youtube.com/watch?v=fhHjHCDrfAA
Between the gen-AI industry’s nonstop lawsuits and public embarrassments like Google’s glue pizza debacle, I’d bet good money Microsoft and OpenAI are gonna struggle to convince local journos that gen-AI’s alleged benefits are worth the inevitable retractions/lawsuits/general pain and suffering.
Man, any good media manipulator knows you don’t go for the newsrooms first. You start with the shitty ad-infested pages that just post procedurally generated slop anyway, then you let that shit fester up the chain until it hits the front page of the NYT.
Excuse me but my aunt’s friend’s daughter’s boyfriend personally witnessed antifa refill a slurpee without paying and dump it all over a hard-working American CyberTruck for TikTok views while streaming as the vtuber personification of California High Speed Rail to an audience of hactivist furries.
Media organizations will get $500,000 to hire two-year “AI fellows” who will “pursue projects that focus largely on improving business sustainability and implementing AI technologies within their organizations.” Specific uses include transcription, content “summaries,” and chatbot-fronted “search.”
permanent college kids with 4090s in embarrassing gaming rigs who’ll demand more budget the instant nvidia releases a new top-end card to game on, got it
e: and as someone who used to set up CUDA servers for machine learning back in college, boy fucking howdy is it ever a tell when the supposed research workstation’s copious RGB is all from the same vendor, so they can sync it to the game they’re playing. I mean, what else do you expect them to do, you paid for their case with the wraparound glass already after all
also, the CUDA hardware back then tended to be either rackmount servers, former rackmount servers now on someone’s desk, or embedded shit. not great to look at unless you like science labs and also noise
i occasionally enjoy ogling the £17,000 gaming rigs professional number crunching business workstations on scan.co.uk. You basically see how many Nvidia cards you can actually run off 240 volts at 13 amps and cram into a case, and throw in a free CPU.
Step 1: Buy new computers for the office.
Step 2: Futz around and transcribe a few audio files.
Step 3: Oops, we have used up the allocated budget but the deliverables remain just over the horizon.
These AI corps really are determined to unnecessarily ham fist “AI” into everything, whether it makes sense or not.
When you have a new shiny hammer, everything looks like a nail.