Questo truffatore ha usato una ragazza #MAGA generata dall'IA per raggirare uomini "super stupidi".
Uno studente di medicina afferma di aver guadagnato migliaia di dollari vendendo foto e video di una giovane donna conservatrice da lui creata utilizzando strumenti di grafica generativa. E non è il solo.
On Agentic Behavioral Modeling
Dirk Ostwald, Rasmus Bruckner, Franziska Us\'ee, Belinda Fleischmann, Joram Soch, Sean Mulready
https://arxiv.org/abs/2604.27894 https://arxiv.org/pdf/2604.27894 https://arxiv.org/html/2604.27894
arXiv:2604.27894v1 Announce Type: new
Abstract: Integrating theoretical neuroscience, decision theory, and probabilistic inference offers a promising route to understanding human cognition, yet concrete methodological bridges between agentic AI models and behavioral data analysis remain formally underdeveloped. We advance this synthesis under the framework of agentic behavioral modeling (ABM), which treats artificial agents as latent, generative hypotheses about cognitive mechanisms and evaluates them by their statistical adequacy in explaining human behavior. After outlining its conceptual foundations, we apply the framework to two minimal laboratory paradigms: a binary perceptual contrast-discrimination task and a symmetric two-armed bandit learning task. We formalize each task-agent-data system as a joint probability model, derive explicit conditional log-likelihoods for behavioral inference, validate different model variants using model and parameter recovery simulations, and evaluate them in light of empirical data. Using these minimal examples, we provide an agent-centric interpretation of the psychometric function, derive optimal policies for both tasks, and show the equivalence between Rescorla-Wagner learning and Bayesian inference in symmetric bandits. More broadly, this work may serve as a conceptual and practical foundation for applying ABM to cognitive behavioral science.
toXiv_bot_toot
Dear generative AI enthusiasts,
Look, I know the tokens you're burning right now don't actually use *that*much energy (even though it's somewhat substantial already and disastrous when we take into account the quality of the crap it's being used for) but what's more important is the appearance (or not) of that token spend on the quarterly earnings report of OpenAI/Anthropic/etc. lays the foundation necessary for those companies to go ahead with their plans for datacenters on a truly ridiculous scale, and those datacenters, if built, ate indeed a climate nightmare which *my kids* will have to live through even if they never benefit from any of it at all. That's (one of many reasons) why I personally need you to stop using generative AI right now.
The fact that the output is crap, the way it erodes your intelligence, and the ways in which it plagiarizes and actively undermines good citation practices are among many other practical reasons not to use it, but what's personal to me is the way that your frivolous sloperation is making the future worse for the baby I'm feeding blueberries to as I type this, and half the time I interact with people like you the conversation begins with some form of "putting aside the ethical issues..."
#AI #GenAI #LLMs
Replaced article(s) found for econ.TH. https://arxiv.org/list/econ.TH/new
[1/1]:
- Human Misperception of Generative-AI Alignment: A Laboratory Experiment
Kevin He, Ran Shorrer, Mengjia Xia
Ever since generative AI, these startups have realized that they can use fear and public outcry over their product as free marketing. Every time a Sam Altman type talks about the “singularity” and how “dangerous” their AI is, they rise in popularity.
It's a horrible marketing discovery, as these concepts are in fact dangerous and morally problematic, so you're caught giving them publicity because the better alternative can't be to not talk about it.
A Deep Generative Model that Uses Physical Quantities to Generate and Retrieve #Solar Magnetic Active Regions: https://iopscience.iop.org/article/10.3847/1538-4365/ae47d9 -> SwRI harnesses AI to find meaningful matches in solar data: https://www.swri.org/newsroom/press-releases/swri-harnesses-ai-find-meaningful-matches-solar-data
Generative "AI" has no idea what it is doing, a story in four images.
The first image is my original drawing (a Venn diagram) with a white background. The second is the same image after I removed the background using GIMP, i.e., made the background layer transparent. The third image is an effort by the "AI system" that is offered as part of my Wordpress setup to create a transparent background. In fact, it has created a new background that is a grey and white grid, a…
Part of the reason I find generative "AI" peddlers so tiresome, I suspect, is that they regurgitate so much of the playbook of the worst Hegelian/Marxist cliché.
"Follow me, for I represent the FUTURE! How do I know the future, or why do I think the future is better than the present, you ask? Shut up, traitor!"
Do we really have to have this debate all over again?
Anyway, I've added a couple quotations from
Here's the thing about generative AI in particular & intellectual property theft. When it comes to IP theft, I am very much for it when you're punching up. By all means, torrent that Amazon movie or download that new album*. Rip off Disney. Share things you enjoy with others.
AI IP theft is very much punching down. Well-funded companies ripping off the commons. Using AI helps them.
* I do try to support smaller artists via bandcamp fridays, or going to their shows an…
Are you in tech and outraged about generative AI? Is it being forced down your throat at work?
Here's a nice vindictive way to get a little revenge if you want:
1. Find a project that contains slop code.
2. Optionally, identify specific files or functions that are LLM-generated. I guarantee you that on average, this code has not been adequately tested/inspected, even/especially if it contains LLM-generated test cases.
3. Make up a reason the code could be flawed, bonus points if it's subtle or hard to test. Don't put effort into this or try to actually find a flaw. Just make something up at random.
4. Report your made-up defect as a bug.
That's it. If anyone ever questions you on the incorrect report, just say "oh I used an LLM and it said there was a bug so I reported it." (Don't actually use an LLM, that would be feeding the bubble.)
Note that you are showing the creator of the code the exact same amount of disrespect that they've shown you by publishing slopcode in the first place. I'd bet odds are 50:50 or better that if a human actually follows up on the report, even though they'll find out that the bug report is wrong, they'll find and fix some other subtle flaw in the LLM-generated code, so this is actually helpful in a way.
For step 3, try to get creative. Like "logic in decideUVParameters can cause state to be inconsistent in some cases." If asked for a steps to reproduce, either make one up if it's easy to do so, or say "I forgot how I triggered this." Surely they can ask an LLM to figure out conditions that would trigger the bug ;).
#AI #LLMs #GenAI
This article has the merit of showing that academics don’t have to adopt genAI uncritically, but it treats the uncritical adoption as the default, portraying those that take a more reflective approach as “refusing to use generative AI.”
Shouldn’t the burden of proof be on the AI advocates? And shouldn’t academics’ arguments go beyond regurgitating the companies’ advertising and trite claims of “it’s the future, use it or you’ll get left behind”?
This article has the merit of showing that academics don’t have to adopt genAI uncritically, but it treats the uncritical adoption as the default, portraying those that take a more reflective approach as “refusing to use generative AI.”
Shouldn’t the burden of proof be on the AI advocates? And shouldn’t academics’ arguments go beyond regurgitating the companies’ advertising and trite claims of “it’s the future, use it or you’ll get left behind”?
This article has the merit of showing that academics don’t have to adopt genAI uncritically, but it treats the uncritical adoption as the default, portraying those that take a more reflective approach as “refusing to use generative AI.”
Shouldn’t the burden of proof be on the AI advocates? And shouldn’t academics’ arguments go beyond regurgitating the companies’ advertising and trite claims of “it’s the future, use it or you’ll get left behind”?
Professional accountability is going to become ever more important as generative AI tools become more ubiquitous.
https://www.reuters.com/legal/government/us-prosecutor-who-lost-job-over-ai-generated-errors-is-rebuk…
"Better Than a Google Search?: Effectiveness of Generative AI Chatbots as Information Seeking Tools in Law, Health Sciences, and Library and Information Sciences"
https://pal-ojs-tamu.tdl.org/pal/article/view/7237
"[…] Using 30 discipline-specific prompts gro…
No, Artificial Intelligence Is Not Conscious
--Ted Chiang, The Atlantic
Should we seriously consider the possibility that Claude, or any large language model, might be conscious? And if it has feelings, is it capable of receiving moral instruction?
No. Absolutely not. Generative AI is harmful enough when we understand it as a conventional technology, but if we confuse fluency at generating text with consciousness or moral agency, we’re at risk of assigning re…
Generative "AI" has no idea what it is doing, a story in four images.
The first image is my original drawing (a Venn diagram) with a white background. The second is the same image after I removed the background using GIMP, i.e., made the background layer transparent. The third image is an effort by the "AI system" that is offered as part of my Wordpress setup to create a transparent background. In fact, it has created a new background that is a grey and white grid, a…
Ever since generative AI began making up large sums of impressions on the internet, advertisers simply don't know anymore what statistics can be believed, hence they are lobbying for age verification laws.
Thinking about some things that @… said in another thread, and as someone who advocates against AI hype and against the use of most generative AI in most circumstances, I feel it's important to say: many of the ethical issues with using generative AI mirror almost directly the ethical issues with living/working on land stolen by colonists, except that they're less harmful.
Arguments like "well we don't really know whose work it's ripping off this time" and "artists that post their art online know it's going to be looked at; this is the same thing" and "well it's inevitable and everyone's doing it so it's unreasonable to make a big deal about it" directly echo arguments like "well now we don't know whose land it was any more exactly" (yes, we do; you can literally go look up the website of their descendants), or "the natives weren't really using the land anyways", or "it's all in the past now, and it's unavoidable." That unavoidable one is actually somewhat true of using stolen land, at least compared to LLM usage.
If you can see through those lies in the case of AI hype but choose not to do so in the case of colonialism, that says something about your priorities and allegiances.
This is not at all a call for people to talk less about AI; rather it's a call for those who take opposing AI hype seriously to look around and make some noise about other injustices too (I realize many of you already do this).
#AI #LLMs #LandBack #GenAI
I spend a lot of time being worried or angry or annoyed at the way that generative ai fervor is undermining our ecosystems (environmental, cultural, epistemic, digital, etc).
But right now I'm just feeling mournful. Seeing project after project, institution after institution run enthusiastically into a future where we boil our oceans to better insulate ourselves from one another is ... tragic. We're losing a lot right now, and we're going to have to come to terms with that.…
Kann sich das jemand anschauen und mir eine Zweitmeinung geben?
Bin mir nicht sicher, dass ich 1,5 Stunden Zeit für jemanden habe, der mit "I am picking up on a [problematic] vibe" ankommt und den dann nicht artikuliert.
Der als positives Beispiel für "generative AI"-Nutzung "materials used in carbon capture" (of all things) nennt.
Und dann ein "trust me, I am very good at this" einwirft, obwohl er bisher, wenn überhaupt, den gegenteili…
"Teaching citation in the age of generative AI: Rethinking research literacy, academic integrity, and epistemic responsibility"
https://doi.org/10.1016/j.acalib.2026.103267
Spotify and UMG plan to let Premium users create AI covers and remixes using music from participating UMG artists as a paid add-on, without giving a launch date (Jem Aswad/Variety)
https://variety.com/2026/digital/news/spotify-un…
"... we have the right to decide whether and how we want to use technologies. Ideally, this should be in a way that benefits us all...
The crux of the matter is that ethical behaviour does not come for free. Ethics are neither efficient nor do they enhance your economic profit. That means that by acting according to your values you will, at some point, have to give something up. If you’re not willing to do that, you don’t have values - just opinions."
TIL the Carmina Burana (11th/12th century) had a poem about generative AI use at universities
Florebat olim studium,
nunc vertitur in tedium;
iam scire diu viguit,
sed ludere prevaluit.
iam pueris astutia
contingit ante tempora,
qui per malivolentiam
excludunt sapientiam.
sed retro actis seculis
vix licuit discipulis
tandem nonagenarium
quiescere post studium.
at nunc decennes pueri
decusso iugo liberi
se nunc magistros iactitant,
ceci cecos precipitant,
implumes aves volitant,
brunelli chordas incitant,
boves in aula salitant,
stive precones militant.
Translation:
Once learning flourished. Now it's come
to be condemned as tedium:
the days of thirsting after truth
are now the idle days of youth.
For students hardly in their prime
find themselves wise before their time:
they know it all — impertinence
replaces plain intelligence.
In days gone by we were required
to stick with study: none retired,
or wished himself to be released,
till ninety years of age at least.
Now lads of barely a decade
can graduate — get themselves made
professors too! And who's to mind
how blind the blind who lead the blind?
So fledgelings soar upon the wing,
so donkeys play the lute and sing:
bulls dance about at court like sprites
and ploughboys sally forth as knights.
Vision-Language-Action Models Meet World Models: Embodied Agentic AI for Low-Altitude Wireless Networks
Feibo Jiang, Li Dong, Lei Mao, Kezhi Wang, Cunhua Pan, Dong In Kim, Naofal Al-Dhahir
https://arxiv.org/abs/2606.11618 https://arxiv.org/pdf/2606.11618 https://arxiv.org/html/2606.11618
arXiv:2606.11618v1 Announce Type: new
Abstract: Low-Altitude Wireless Networks (LAWNs), composed of Unmanned Aerial Vehicles (UAVs) and other aerial platforms, provide integrated perception, communication, and computation services in low-altitude airspace. However, deploying large generative models in this domain faces three major challenges: 1) Limited embodied action mapping; 2) Inadequate physical environment modeling; 3) Insufficient closed-loop optimization. To address these challenges, this study proposes an Embodied Agentic UAV framework. Centered on a Vision-Language-Action (VLA) model as the execution core, the framework establishes an end-to-end embodied decision-making pipeline from multimodal environmental perception to continuous control generation. In addition, a World Model (WM) is introduced to capture the coupling between UAV actions and environmental state evolution, thereby supporting environment prediction, policy verification, and dynamic optimization. Furthermore, memory and reflection mechanisms are incorporated to form an adaptive closed-loop optimization paradigm of decision, execution, evaluation, and update, thereby enhancing the system's autonomous decision-making capability and continual evolution ability in complex dynamic environments. Experimental results validate its effectiveness in enabling robust, predictive, and sustainable autonomous control in LAWNs.
toXiv_bot_toot
"Articulating generative AI information literacy competencies: An ACRL Framework–driven model for academic libraries"
https://doi.org/10.11645/20.1.883
Sources: Jeff Bezos is investing in Cambridge, UK-Based CuspAI, which applies generative AI to material sciences, as part of a $400M round at a $2.6B valuation (Tim Bradshaw/Financial Times)
https://www.ft.com/content/4c479227-567c-435e-a4d3-795dd957b347
It’s still early, but here's a draft of my book, The Generative Unconscious. The title invokes Jameson’s Political Unconscious to name how the ideological and historical forces shaping culture below the threshold of awareness are now encoded as statistical distributions across billions of parameters. The book isn't about whether AI is good or evil, but about why it provokes such anxiety by making us see the human in the nonhuman.
Sources: Jeff Bezos is investing in Cambridge, UK-Based CuspAI, which applies generative AI to material sciences, as part of a $400M round at a $2.6B valuation (Tim Bradshaw/Financial Times)
https://www.ft.com/content/4c479227-567c-435e-a4d3-795dd957b347
Few people know this but Deep Space Nine is an early example of generative AI use in visual media
@tiotasram@kolektiva.social
