Corporations that have drunk the AI kool-aid are going to rot from the inside...
Today I received the e-mail for my mid-year review... with Copilot š¤¦
They are having the stochastic parrot "coach" me on my goals and progress.
And they will then rank me based on this.
We so need a union for office workers to push back on this bullshit.
#Google fired her for refusing to retract it in 2020. The firing itself proved the point she was making. The people who pay for the system can't afford to hear what's wrong with it. Every warning from Timnit Gebru's "On the Dangers of Stochastic Parrots" has now come true. At scale. Hallucinations, bias amplification, environmental cost, un-auditable training data, model collapse.
#TimnitGebru #stochasticparrots #aiethics #responsibleai #aicon #aihype
No, it's not an "agent".
It's a poorly written script with non-deterministic results that people are plugging into bank accounts, trading accounts and dog knows what else.
This Emily Bender post has my new favorite acronym:
Frequently Unasked Questions = FUQ!
OK, probably not new, but it was new to me! š
https://medium.com/@emilymenonbender/stochastic-parrots-frequently-unasked-questions-49c2e7d22d11
"What I am trying to do, in a world absolutely saturated with marketing selling the idea that the synthetic text extruding machines are 'AI', or maybe even 'AGI', is to help people understand what these systems actually are: systems designed to mimic the language ā¦ that people use."
What Einstein meant to say was that insanity is training #AI on a training data-set that comprises largely the hallucinations of earlier AIs.
#StochasticParrots #Internet
#TechBro #Broligarchy
#Google #OpenAI #Apple #Meta #Grok
#Musk #Zuckeberg #Altman
Matt Comyn is 100% AI pilled, and got zero pushback from Sarah Ferguson. This was sad and embarrassing to watch for the ABC. Hopefully the new news director Simon Robinson introduces better journalistic standards.
#abc #AbcNewsAU #AbcNews #abc730 #CBA #MattComyn #ai #slop #AIpsychosis #australia #news #australianews #llm #StochasticParrots #SarahFerguson
Timnit Gebru founded the Distributed AI Research Institute after her high-profile exit from Googleās Ethical AI team. Sheās been a vocal critic of the systemic lack of diversity in learning models and the need for more inclusion in the space. Her view is that because AI so heavily relies on human input, it largely mirrors pervasive biases inherent in society. What needs to be done to change that? She joins WITHpod to discuss what, in her view, large language models are missing. Sign up for MS NOW Premium on Apple Podcasts to listen to this show and other MS podcasts without ads. You'll also get exclusive bonus content from this and other shows. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
It's finally my turn!
I requested this book from the public library since it first came out and I've been patiently waiting. It's been months, even though the library has 5 copies.
At least that means that the book is reaching plenty of people, which is a great thing.
Favorite line so far: "a racist pile of linear algebra"
Code suggestions now consuming credits.
The bubble pop edges closer.
When the bill comes in and the true cost becomes apparent, will the executives realise the error of their ways or will they just drop it and pretend it never existed?
Or perhaps charge onwards towards the inevitable crash and burnā¦
š¤
#ai #aislop #slop #gitlab #duo #bubble #StochasticParrots #agenticai
@emilymbender Do you have a comment on @UlrikeHahn 's 2026 preprint [1] (I do know about your Frequently unasked questions [2])? Ulrike is giving us an online seminar on Monday (11:00 CEST coffee for locals, 11:15 actual seminar = 02:15 PDT) [3], in which you (and others) would be welcome to participate, of course.
[1] https://zenodo.org/records/18231172
[2] https://medium.com/@emilymenonbender/stochastic-parrots-frequently-unasked-questions-49c2e7d22d11
[3] * https://codeberg.org/boud/ia-umk-seminars/src/branch/main/abstracts.md
* https://astro.umk.pl/en/institute/general-seminar
* https://bbb2.astro.uni.torun.pl/rooms/lak-6je-rar-beu
There is a remarkable degree of polarisation in current debate about the capacities of Large Language Models (LLMs). One example of this is the debate about reasoning. Some researchers see ample evidence of reasoning in these systems, while others maintain that these systems do not reason at all. This paper seeks to shed light on this debate by examining the divergent uses of the term reasoning across different disciplines. It provides a simple clarificatory framework for talking about behaviour that highlights key dimensions of variation in how āreasoningā is used across psychology, philosophy and AI. This highlights not just the extent to which researchers are talking past each other, but also that common inferences about model capability that accompany classification decisions are, in fact, far less compelling than they might seem.
Wizard
oatmeal
Ahimsa
Philip C James
Umbrella
cs
RenƩ 
Boud