@v_i_o_l_a@openbiblio.social"Generative AI Meets Cataloging Practice: Findings from a Comparative Pilot Study"
https://doi.org/10.5860/ital.v45i2.17499
"This study evaluates the performance of four generative AI models—ChatGPT, DeepSeek, Gemini, and Copilot—in generating descriptive metadata for …
@Mediagazer@mstdn.socialLetter: WGAE withdrew its sponsorship of NY film festival Urbanworld after it unveiled a new programming section for directors using generative AI in their work (Brooks Barnes/New York Times)
https://www.nytimes.com/2026/07/28/movies/urbanworld-writers-guild-ai.htm…
@lpryszcz@genomic.social'To illustrate the scale of AI’s pricing mismatch, I’m going to ask you to imagine an alternate history where Uber had a very different business model.
Generative AI subscriptions are like if Uber charged users $20 a month for 100 rides of any distance under 100 miles, and if gas was $150 a gallon, and Uber paid for the gas because somebody insisted that oil would one day be too cheap to meter.'
Sounds about right... 🫣
@Techmeme@techhub.socialRunway launches Runway Media Router, which it says is the first built specifically for generative media, as it expands from AI video to AI infrastructure (Rebecca Bellan/TechCrunch)
https://techcrunch.com/2026/07/23/runway-bets-on-ai-model-…
@tiotasram@kolektiva.socialThinking 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
@seeingwithsound@mas.toUniversity of Texas study, for blind or low vision participants: Living in an AI-filtered reality: Participant recruitment & eligibility screening form https://docs.google.com/forms/d/e/1FAIpQLSfrJaZokMcnv7t0ExHT1hdVZ8dEsgV-AymJxguendMqTKxEZA…
@barijaona@mastodon.mgGenerative AI Is an Engineering Disaster - The Atlantic
"The problem with generative AI, in the industry’s own jargon, is that it does not scale."
https://www.theatlantic.com/technology/2026/07/generative-ai-engineering-disaster/687901…
@publicvoit@graz.social @tiotasram@kolektiva.socialDear 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
@ddrake@mathstodon.xyzReading "Know thine enemy: A critical engagement with AI-assisted software development" by Amy Ko ( https://medium.com/bits-and-behavior/know-…
@Techmeme@techhub.socialNoam Shazeer leaves Google to join OpenAI as lead for architecture research; he rejoined Google in 2024 as part of the Character.AI deal and was Gemini co-lead (The Information)
https://www.theinformation.com/articles/star-google-ai-researcher-shazeer-j…
@cdarwin@c.imThe nation’s largest public four-year university may soon be barred from replacing faculty with generative AI
as a bill backed by a union of professors comes nearer to reaching the governor’s desk.
Few examples exist of the California State University’s attempting to replace faculty labor with generative AI tools,
but the faculty union wants to prevent such efforts from ever getting off the ground.
The bill so far has garnered no opposition from lawmakers and may clear…
@v_i_o_l_a@openbiblio.social"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…
@kazys@mastodon.socialThe introduction my next book, the Generative Unconscious, on the dread AI creates among artists (and other people as well), also has a link to the PDF of an early draft of the whole thing. https://varnelis.net/works_and_projects/the-generative-unconscious-introduc…
The Generative Unconscious (Introduction) - varnelis.net QVC and HSN hosts vote to unionize and join SAG-AFTRA, an organizing drive fueled by concerns around generative AI (Katie Kilkenny/The Hollywood Reporter)
Download PDFAuthor’s note: This is a draft of an introduction to the Generative Unconscious. It will be improved for a time. The chapters linked at the end are all drafts as well, but you can get the gist of the book now. You can download a rough draft of the book generated by an automatic ... @Mediagazer@mstdn.social
2026-07-24 16:40:56
https://www.hollywoodreporter.com/business/business-news/qvc-hosts-vote-unionize-1236655895/…
@tiotasram@kolektiva.socialAre 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
@jkohlmann@mastodon.socialIt sucks that Apple is undeniably wielding these deep integrations between generative AI, Apple operating systems, and customer data as a cudgel against the EU. https://www.apple.com/newsroom/2026/06/due-to-dma-siri-ai-delayed-in-eu-for-ios-27-and-…
@Techmeme@techhub.socialSnap plans to spin off an internal generative AI video team into Dotmo, a new company focused on AI models for interactive gaming experiences, citing high costs (Lucas Ropek/TechCrunch)
https://techcrunch.com/2026/06/18/snap-spins-off-ai-vi…
@mxp@mastodon.acm.org“When the time comes, the AI industry must burn. It must be allowed to die. Generative AI has already been given far too much money, oxygen and attention, and if it cannot survive without continual venture capital and media coddling, it is unworthy and unnecessary, and must face the cold, hard reality that every regular person faces when they fail.”
Amen to that!
@ErikUden@mastodon.deEver 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.
@arXiv_csCR_bot@mastoxiv.pageDeepfake News Detection: A Multimodal Framework Integrating LipNet, DeepSpeech and ResNET for Enhanced Audio-Visual Analysis
Ameena Khan, Muhammad Ahsan Aziz, Muhammad Junaid Asif, Naeem Akhter, Rana Fayyaz Ahmad
https://arxiv.org/abs/2607.20579 https://arxiv.org/pdf/2607.20579 https://arxiv.org/html/2607.20579
arXiv:2607.20579v1 Announce Type: new
Abstract: Deepfake news refers to AI-generated (or AI ma-nipulated) multimedia content intentionally generated to deceive audiences by manipulating the facial expressions, or speech while maintaining the realistic appearance. The rapid progress of generative AI has made the synthesis of highly realistic fake videos and cloned voices widely accessible, posing a serious threat to the authenticity of digital news media. This paper presents a multi-modal framework that discerns the authenticity of video content by jointly exploiting audio and visual cues, thereby addressing the challenge of detecting the deepfake videos. We proposed a framework that involves features extraction from lip movements, audio content and video frames. Lip movements and speech content are encoded using the LipNet and DeepSpeech2 models, while facial features are extracted by leveraging the use of BlazeFace and represented with ResNet18. The extracted feature vectors are concatenated into a holistic video representation and classified with an ensemble of machine learning and deep learning models, including Random Forest (RF), Multi-layer Perceptron (MLP) and Long Short-Term Memory (LSTM) networks. Exten-sive experiments performed on the FakeAVCeleb dataset shows that the proposed approach attains an accuracy of 94% using augmented audio features, outperforming a state-of-the-art multi-modal ensemble baseline. The results confirm the robustness and practical potential of the proposed framework for deepfake news detection.
toXiv_bot_toot
@gwire@mastodon.socialI'd missed the "Whata Bod, Idaho" story in Jan, where the US National Weather Service used gen AI and it make up town names.
https://oecd.ai/en/incidents/2026-01-07-1ff3
@Techmeme@techhub.socialGermany's Black Forest Labs launches Flux 3 and Flux-mimic, its first models for robotics, as it expands from generative AI into physical AI (Yazhou Sun/Bloomberg)
https://www.bloomberg.com/news/articles/2026-0…
@Mediagazer@mstdn.socialNetflix says roughly 300 titles used generative AI this year, mostly in post-production, "to deliver higher quality output more quickly and at a lower cost" (Emma Roth/The Verge)
https://www.theverge.com/streaming/966633/netflix-ai-titles-q2-2026-earnin…
@v_i_o_l_a@openbiblio.social"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
@mxp@mastodon.acm.orgThis 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”?
@mxp@mastodon.acm.orgThis 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”?
@lapizistik@social.tchncs.deApplying the Turing test to the current “chatbot” generative AI does not show that AI is “intelligent”¹ but that humans are very bad in playing the imitation game as judges³.
__
¹In the original paper “ I.—Computing machinery and intelligence”² Turing explicitly states that there is no useful definition for the meaning of the question ‘can machines think?’ and replaces it with: ‘can computers play the imitation game?’
²
@Techmeme@techhub.socialNetflix says roughly 300 titles used generative AI this year, mostly in post-production, "to deliver higher quality output more quickly and at a lower cost" (Emma Roth/The Verge)
https://www.theverge.com/streaming/966633/netflix-ai-titles-q2-2026-earnin…
@drgeraint@glasgow.socialProfessional 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…
@cjust@infosec.exchange--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…
@Mediagazer@mstdn.socialLionsgate and gen-AI company Runway expand their partnership, giving Lionsgate an equity stake in Runway and launching a program to develop and produce new IP (Corbin Bolies/Variety)
https://variety.com/2026/film/news/lionsgate-equity-st…
@frankel@mastodon.topWhat I’m Hearing About #CognitiveDebt (So Far)
https://margaretstorey.com/blog/2026/02/18/cognitive-debt-revisited/
@ddrake@mathstodon.xyzCS education folks!
I just read a very interesting paper:
Margaret-Anne Storey. 2026. From Technical Debt to Cognitive and Intent Debt: Rethinking Software Health in the Age of AI. https://doi.org/10.48550/arXiv.2603.22106
It gives us a couple good ways to describe to studen…
@ErikUden@mastodon.deEver 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.
@Techmeme@techhub.socialKaon AI, which builds personalized story worlds using its AI-based FlowGPT and Emochi tools, raised $60M from B Capital and others, and says Emochi has 2M DAUs (Corbin Bolies/Variety)
https://variety.com/2026/digital/news/ai-startup-kaon-a…
@Mediagazer@mstdn.socialKaon AI, which builds personalized story worlds using its AI-based FlowGPT and Emochi tools, raised $60M from B Capital and others, and says Emochi has 2M DAUs (Corbin Bolies/Variety)
https://variety.com/2026/digital/news/ai-startup-kaon-a…
@mxp@mastodon.acm.orgThis 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”?
@anneroth@systemli.socialDer Energieverbrauch von Google ist in einem Jahr, von 2024 bis 2025, von 31 auf 43 Terrawattstunden (TWh) gestiegen.
Der Effekt von generativer KI, also all den Chatbots, ChatGPT etc.
Wir sollten das nicht als unveränderbar hinnehmen.
https://ketanjoshi.co/2026/07…
@Carwil@mastodon.onlineGradually making my way through Dwarkesh Patel's oral history of Generative AI.
Big picture: Many AI designers seem to believe that because their software is smarter than they expected, it will inevitably become smarter than them.
@aardrian@toot.cafeUpdates:
• Two more environmental impact bullets: https://adrianroselli.com/2024/04/what-you-can-do-as-a-web-builder-on-earth-day.html
•
@thomasfuchs@hachyderm.ioTIL 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.
@metacurity@infosec.exchangeEvery week, Metacurity offers our subscribers a rundown of the best infosec-related long reads that we can't do justice to in the crazy crush of daily news.
This week's selection covers
--AI incident reporting laws leave dangerous blind spots,
--Federal data consolidation raises surveillance fears,
--Russia's FSB embraces generative AI,
--Flock camera error triggers police stops,
--Why legacy OT malware won't die
https://www.metacurity.com/the-governance-gap-best-infosec-long-reads-7-25-26/
@mxp@mastodon.acm.org“When the time comes, the AI industry must burn. It must be allowed to die. Generative AI has already been given far too much money, oxygen and attention, and if it cannot survive without continual venture capital and media coddling, it is unworthy and unnecessary, and must face the cold, hard reality that every regular person faces when they fail.”
Amen to that!
@mxp@mastodon.acm.org“When the time comes, the AI industry must burn. It must be allowed to die. Generative AI has already been given far too much money, oxygen and attention, and if it cannot survive without continual venture capital and media coddling, it is unworthy and unnecessary, and must face the cold, hard reality that every regular person faces when they fail.”
Amen to that!
@Mediagazer@mstdn.socialJob listings indicate Netflix has been building an internal studio called INKUbator that aims to use AI to produce short-form animated content (Janko Roettgers/The Verge)
https://www.theverge.com/column/930118/netflix-gen-ai-animation-inkubator
@Techmeme@techhub.socialLondon-based Ethos, which lets companies use AI for hiring, including for voice interviews and profile analysis, raised a $22.75M Series A led by a16z (Ana-Maria Stanciuc/The Next Web)
https://thenextweb.com/news/ethos-22-75m-series-a-a16z-ai-expert-matching
@rasterweb@mastodon.socialRE: https://mastodon.social/@Blender/116500204687984724
Happy to hear this, and about what seems to be better scrutiny in the future about funding.
"Blender is a tool for artists and creators, it’s made by humans for humans. No generative AI fun…
@lpryszcz@genomic.social"... 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."
@Techmeme@techhub.socialMeta launches Facebook Verified, a free program it says will verify that users are real humans by analyzing a facial recognition selfie and assigning badges (Mat Smith/Engadget)
https://www.engadget.com/2222353/meta-launches-facebook-verified/
@Techmeme@techhub.socialSpotify 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…
@Mediagazer@mstdn.socialSpotify 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…
@v_i_o_l_a@openbiblio.social"Articulating generative AI information literacy competencies: An ACRL Framework–driven model for academic libraries"
https://doi.org/10.11645/20.1.883
@arXiv_csIT_bot@mastoxiv.pageVision-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
@tiotasram@kolektiva.socialJust finished "A Deepness in the Sky" by Vernor Vinge. A fascinating and epic science fiction novel with fascinating ideas about technology and also future societies. As I'm delving into a lot of sci fi looking for social imagination it's a good find in some ways but disappointing in others. The Qeng Ho culture is interesting, but their society is uninspiring; Vinge's rosy view of "trade" is not one I completely share, and their hierarchies and wealth accumulation are less compatible with their freedoms in my imagination than in Vinge's. That said, his perspective on the possibilities of galactic-scale civilization and the idea of the "age of failed dreams" are fascinating, especially right now, and his detailed ideas about programming, AI, automaton, and "Focus" are extremely relevant right now. Ultimately I didn't love some parts of the dénouement, and there's a lot of "great man theory of history" going on, including (only somewhat ameliorated) a focus on men over women. Vinge's damsels in distress have a lot more agency than usual for the role, but with the exception of Victory Sr. and Jr., the damsels are very much in distress, and Victory Sr. gets overshadowed a lot by Underhill.
It definitely helps one expand their imagination of what long-term and large-scale human existence could look like, which is great and no easy feat, and both the technologies that are written in and those written out are extremely convincing. The only thing I didn't find compelling was the transposition of capitalism onto such space and time scales. It's a very standard feature of sci fi from the last few decades, and I'm sure most readers don't question it, but I've become someone who can no longer imagine "capitalism across the stars" without questioning how realistic it is that its self-destructive tendencies could possibly last even a few more centuries, let alone succeed at interstellar travel.
One last extremely fascinating thing: how closely the strengths and weaknesses of Focus track with the strengths and weaknesses of modern generative AI. That, and the way that the "age of failed dreams" idea can help people imagine beyond generative AI in a positive way.
#AmReading #ReadingNow #Bookstodon
@kazys@mastodon.socialIt’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.
@pkraus@berlin.socialYesterday, I was one of four panelists at the annual Emmy Noether Treffen organised by the @… , talking about how we use (generative) #ai in #research.
Here's the thing: I don't.
The mood was surprisingly skeptical with none of my peers being particularly optimistic, highlighting issues with applying #llm to indigenous studies (Walther Maradiegue), dealing with fabricated bibliographies (Daria Elagina), or possibilities of quick fixes to the underlying tech (Michael Roth).
1/3
@arXiv_qbioNC_bot@mastoxiv.pageOn 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
@Techmeme@techhub.socialSources: 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
@v_i_o_l_a@openbiblio.social"How Unique Are Hallucinated Citations Offered by Generative Artificial Intelligence Models?"
https://doi.org/10.3390/publications14030038
"This paper investigates how generative AI produces and propagates hallucinated academic references, focusing on the recurring…
@thomasfuchs@hachyderm.ioFew people know this but Deep Space Nine is an early example of generative AI use in visual media
@Techmeme@techhub.socialSources: 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
@Mediagazer@mstdn.socialHow the internet, smartphones, and now generative AI are accelerating a drop in the reading of longer written works like books, as social media spikes (Rose Horowitch/The Atlantic)
https://www.theatlantic.com/magazine/2026/08/reading-crisis-postliterate-a…
@Techmeme@techhub.socialHow the internet, smartphones, social media, and now generative AI are accelerating a drop in the reading of longer works like books (Rose Horowitch/The Atlantic)
https://www.
@Techmeme@techhub.socialSnap reports Q1 revenue up 12% YoY to $1.53B, in line with est., and says it ended its $400M Perplexity deal announced in November; SNAP drops 4% after hours (Jonathan Vanian/CNBC)
https://www.cnbc.com/2026/05/06/snap-q1-earnings-report-2026.html
