WizardNo, 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.
AhimsaThis Emily Bender post has my new favorite acronym:
Frequently Unasked Questions = FUQ!
OK, probably not new, but it was new to me! 😁
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 … that people use."
Philip C JamesWhat 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
UmbrellaMatt 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
'Be prepared but not necessarily alarmed' by AI, says Commonwealth Bank boss | 7.30
csFormer Google researcher Timnit Gebru speaks with Chris Hayes regarding ethics and #AI.
#MachineDevil #MachineGod #LLM #NeuralNetworks #AGI #Ethics #AIImpersonators #StochasticParrots
https://www.podbean.com/media/share/dir-6n4ib-2e1553f7
#MachineDevil #MachineGod #LLM #NeuralNetworks #AGI #Ethics #AIImpersonators #StochasticParrots
https://www.podbean.com/media/share/dir-6n4ib-2e1553f7
The AI End Game: The Ethics of AI with Timnit Gebru
Timnit Gebru founded the Distributed AI Research Institute after her high-profile exit from Google’s Ethical AI team. She’s 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.
René 
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 burn…
🤔
#ai #aislop #slop #gitlab #duo #bubble #StochasticParrots #agenticai
Boud@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
What is reasoning anyway? A closer look at reasoning in LLMs
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 ‘reasoning’ 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.
gittaca🎼 C-suite, C-suite:
🎼 What you're gonna do?
🎼 What you're gonna do,
🎼 when we ig-nore you?
#StochasticParrots #fckGenAI #GenAI #MicroSlop #GiveUpGitHub #leaveGitHub
Simon Brooke"The Electoral Commission has called for new legal controls over misinformation from AI chatbots, after a thinktank found they had made serious mistakes during the recent Scottish election.
The thinktank Demos said its investigation had found that AI services gave voters misinformation to 34% of the questions it posed"
