You incorrectly assume the grift products have to actually do anything. Just give them a few lights and a little fan at the back which spins for a few minutes to make it sound like it’s doing anything. Can be super cheap to make, it doesn’t even need a heating element!
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beveradb@lemm.eeto
Not The Onion@lemmy.world•I Don’t Know Why Women Keep Laughing at Me When I’m Out Driving my Tesla CybertruckEnglish
12·2 years agoAgree 100%. Also, re. “a third of a house”; I bought an old (1941) but comfortably livable 2 bedroom house with garden and driveway in Columbia, South Carolina for only $86k last year. Most of the cyberfuck owners paid MORE than my house for their dumb cars…
Char count for same functionality is still at least double in java vs python. It just feels like a chore to me. jetbrains helped, but still python is just so light
Fair point! I think that’s part of why I admire him, humble greatness
Eh, bagder is more than “just some guy” to a lot of people! To me he’s kinda been my tech idol for 20 years lol, he also was a core part of building Rockbox (open source firmware for MP3 players) which was the first open source project I got seriously involved in as a kid ☺️
beveradb@lemm.eeto
Technology@lemmy.world•Study Finds Consumers Are Actively Turned Off by Products That Use AIEnglish
9·2 years agoI’ve built a couple of useful products which leverage LLMs at one stage or another, but I don’t shout about it cos I don’t see LLMs as something particularly exciting or relevant to consumers, to me they’re just another tool in my toolbox which I consider the efficacy of when trying to solve a particular problem. I think they are a new tool which is genuinely valuable when dealing with natural language problems. For example in my most recent product, which includes the capability to automatically create karaoke music videos, the problem for a long time preventing me from bringing that product to market was transcription quality / ability to consistently get correct and complete lyrics for any song. Now, by using state of the art transcription (which returns 90% accurate results) plus using an open weight LLM with a fine tuned prompt to correct the mistakes in that transcription, I’ve finally been able to create a product which produces high quality results pretty consistently. Before LLMs that would’ve been much harder!
beveradb@lemm.eeto
World News@lemmy.world•New files shed light on ExxonMobil’s efforts to undermine climate scienceEnglish
4·3 years agoThe rot economy
Me! I’ll still end up on Reddit occasionally from Google searches for stuff but I very much appreciate having a place to mindlessly scroll and read which isn’t capitalistic
Same





Leetcode is a plague with a sales team