DigitalCharityLab

20.6K posts

DigitalCharityLab banner
DigitalCharityLab

DigitalCharityLab

@DigiCharityLab

Helping progressive non-profits build digital skills. Social enterprise, @SEIreland Awardee. Tweets by Jean. Free resources on our website 🙂

Ireland Inscrit le Mart 2014
2.9K Abonnements2.8K Abonnés
DigitalCharityLab retweeté
Maia
Maia@maiamindel·
we're reaching john stuart mill levels of absurd "thought experimetns are just as good as real experiments" scientism with this one
Maia tweet media
English
62
926
6.1K
170.4K
DigitalCharityLab retweeté
Bobby Wagner
Bobby Wagner@bwags·
it’s pretty incredible how unusable search is on almost every part of the internet now. a product that worked almost without fail for 7-10 years is just utterly incoherent. it’s as if every search feature on every website simply does not understand the words you’ve typed
.@kingbealestreet

Can't help but think the rise of AI is really aided by the fact that Google and Youtube search is almost unusable half the time now

English
229
8.5K
67.7K
1.5M
DigitalCharityLab retweeté
Joseph Redmon
Joseph Redmon@pjreddie·
Executives are used to sycophantic behavior, their power over their employees means they’re constantly told their ideas are great and they think they’re the smartest person in the room Normal people find AI sycophancy off putting, executives think it’s normal and validating
teo@teodorio

Why has AI psychosis affected primarily high level executives? Is it because they have no easy way to empirically see the limitations?

English
9
127
858
17.7K
DigitalCharityLab retweeté
evan loves worf
evan loves worf@esjesjesj·
She’s monetizing her dad’s transphobia to raise money for trans kids. Absolute queen
evan loves worf tweet media
English
297
7.6K
97.4K
678.1K
DigitalCharityLab retweeté
Riley Walz
Riley Walz@rtwlz·
made my computer dramatically play BBC news music before every meeting
English
599
6.3K
71.6K
4.3M
DigitalCharityLab retweeté
Lakyn Thee Stylist
Lakyn Thee Stylist@OgLakyn·
The most successful thing capitalism ever did was make labor invisible. Just consume, it doesn’t matter how it got here. It doesn’t matter who made it or the communities that are suffering from just being near the factories. You deserve a little treat!
English
12
589
2K
69.9K
DigitalCharityLab retweeté
dan
dan@bierkonceagain·
Like 10 years the American Christian right held a fucking conference where they discussed how hard they found it to break into the UK market and they solidified around anti-trajs bigotry as their way and committed a tonne of money. They didn't even hide it!!!
Erin Ekins (she/her)@QueerlyAutistic

Many of us have been yelling for years that the venn diagram between anti-trans bigots and anti-abortion zealots is a circle.

English
1
143
857
15.1K
DigitalCharityLab
DigitalCharityLab@DigiCharityLab·
It is genuinely wild that a company with a user base of *creatives*, thought it could wedge AI into its products without backlash. Yet another example of terrible judgement from tech about AI.
Ed Newton-Rex@ednewtonrex

Adobe CEO resigns, most likely due to Adobe floundering amidst the AI wave. IMO Adobe made a big mistake leaning hard into generative AI. Their userbase hate it. They will thrive if they reject gen AI, and return to putting humans first. That should be the focus of the next CEO

English
0
0
1
40
DigitalCharityLab
DigitalCharityLab@DigiCharityLab·
Solidarity to the comms team at @DublinZoo - even when a backlash is obviously egregious, astro-turfed nonsense, it’s still horrible to have to deal with it
English
0
0
0
112
DigitalCharityLab retweeté
Saidul
Saidul@saidul_dev·
OpenAI just published a paper proving that ChatGPT will always hallucinate. Not sometimes. Not "until the next version." Always. They proved it mathematically. And three other top AI labs confirmed it independently. Here's what the research actually shows: Even with perfect training data and unlimited compute, LLMs will still fabricate answers with complete confidence. This isn't a bug in the code. It's fundamental to how these systems are built. The numbers are wild: → OpenAI's o1 model: 16% hallucination rate → Their o3 model: 33% → Their newest o4-mini: 48% Nearly half of what their latest model tells you could be invented. And it's getting worse as models get "smarter." Here's why this can't be fixed: Language models predict the next word based on probability. When they hit uncertainty, they don't pause. They don't flag it. They guess with total confidence. Because that's literally what they were trained to do. The researchers analyzed the 10 major AI benchmarks used to test these models. 9 out of 10 give the exact same score for saying "I don't know" as for getting it completely wrong: zero points. The entire testing system punishes honesty and rewards confident guessing. So the AI learned the optimal strategy: always answer. Never show doubt. Sound certain even when making it up. OpenAI's proposed solution? Train models to say "I don't know" when uncertain. The problem? Their own math shows this would leave roughly 30% of questions unanswered. Imagine getting "I'm not confident enough to respond" three times out of ten. Users would abandon the product overnight. The fix exists. But it kills usability. This isn't just OpenAI's problem. DeepMind and Tsinghua University reached identical conclusions working separately. Three elite AI labs. Independent research. Same result: this is permanent. Every time you get an answer from any LLM, you're not getting facts. You're getting the most statistically probable next words from a system that's been rewarded for never admitting when it's guessing. Is this real information, or just a confident hallucination? You can't know. And neither can the AI.
Saidul tweet media
English
44
106
341
139.2K
DigitalCharityLab retweeté
Vivian
Vivian@suchnerve·
super cool how searching for anything niche now takes over 10x longer because every goddamn search algorithm presumes it knows better than you, and that you must REALLY be looking for something more conventional
English
81
1.5K
21.1K
382.8K