The thing is: If #AI actually worked, and I mean was able to do your job effectively, then you wouldn't see OpenAI, Micro$oft, Goggle etc trying to sell it.
They'd be *using it* themselves, and replacing entire industries, because your overhead (staff costs, office costs, HR, payroll, admin etc.) are my competitive advantage.
The fact that we DON'T see this happening is all the proof we need that #GenAI and #LLM don't work as sold.

Feels like we're now firmly in the "desperation" phase for companies who have sunk a ton of cash into AI which nobody asked for. They're frantically trying to justify that spend in via evidence of "user engagement" in any way they can.

I'm sure we're all seeing increasing pushiness and use of dark patterns to force use of AI e.g. WhatsApp searchbar now being "Ask Meta AI or Search"

“[#GenAI] has been an overwhelmingly negative and demoralizing force in my own personal workplace, no question about it.”

Luke Plunkett:

“I spoke with people working in the video game industry or very close to it, including artists, game designers, and software developers. I asked them to tell their stories about their daily interactions and struggles with artificial intelligence in the workplace, and what it means for the jobs they've been trained and hired to do.”

[NEW PAPER ALERT!] Our grantees
@A__W______O
new paper puts forward a vision for balancing the benefits and risks of #opensource #GenAI (funded by
@DigInfFund
). Drafted by NickBotton
& Mathias Vermeulen
- a short thread on

This is glorious.The best time to burn a bridge is when you never, ever want to cross it again. #genai (Edit: This is a notice explaining why somebody is shutting down a long-running project to measure word frequencies.)

Tell me again how #GenAI will extract meaningful trends from and answer queries about your data set.