@sherold@mastodon.onlineAn interesting take on the series “Pluribus” by Indrapramit Das. As someone living in Europe, it has made me realize which layers of the story I had missed due to cultural biases.
https://reactormag.com/resisting-the-hivemind-pluribus-generative-ai-and-empire…
@jake4480@c.imLibreOffice breaks download records after declaring it has no AI features #LibreOffice
@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.
@elduvelle@neuromatch.socialAre there any religions that forbid the use of generative AI? I might have to join one of those.. I am actually quite serious, since people in the UK seem to take more seriously religion-based rules than ethical rules.
#NoGenAI #Religions
@privacity@social.linux.pizzaFPF and Leading Companies Release Risk Assessment Framework and Updated Best Practices for AI in Hiring & Employment
https://fpf.org/press-releases/fpf-and-leading-companies-release-risk-ass…
@andres4ny@social.ridetrans.it"#Debian neither endorses nor prohibits the use of generative AI tools in the development, maintenance, or documentation of software, packaging, documentation, and other media published within the Debian Project. We recognize that such tools can substantially improve the productivity of contributors when used responsibly, allowing volunteers to spend more of their limited time on work th…
@CerstinMahlow@mastodon.acm.orgNew #publication: “Writing versus automated text production by generative AI. Distinctions, disruptions, and the need for new models”
It’s a statement in the special issue of Didaktik Deutsch on “Writing with AI,” in which I argue for more accurate terminology. LLM-based chatbots neither “write” nor “generate text”
I also propose a dedicated research agenda for the writing resea…
@ErikJonker@mastodon.socialAl wat ouder (2024) maar fijn paper over AI & Software engineering/coding. Zowel voor "believers" als totale sceptici 🙂
"tl;dr: Chill, y'all: AI Will Not Devour SE"
https://arxiv.org/abs/2409.00764
@cdarwin@c.imNew York City Mayor Zohran Mamdani has unveiled a one-year ban on the use of student-facing generative AI across the city’s public schools through eighth grade,
and restrictions on the use of the technology in high schools.
“The tech industry wants us to believe that A.I.-powered early education is not only inevitable, but necessary.
We do not see it that way,” said Mamdani in a statement.
@Mediagazer@mstdn.socialCanadian children's media company WildBrain acquires child-focused generative AI startup Personality AI in a cash-and-stock deal worth up to $69M (Corbin Bolies/Variety)
https://variety.com/2026/biz/news/wildbrain-acquires-kid-safe-ai-…
@stefan@gardenstate.socialNot seeing many folks linking to the source document from OpenJdk
https://openjdk.org/legal/ai
@arXiv_mathGM_bot@mastoxiv.pageAscertaining Learning: Generative AI, the Proxy Problem, and Cognitive Competence in University Mathematics
Bob Osano
https://arxiv.org/abs/2610.03844 https://arxiv.org/pdf/2610.03844 https://arxiv.org/html/2610.03844
arXiv:2610.03844v1 Announce Type: new
Abstract: For decades, university mathematics assessed executable procedure, computing and reproducing standard proofs, as a proxy for the understanding it cared about, because procedure was cheap to mark and understanding was not. Generative AI now executes much of this procedure. It does not merely let students bypass the proxy; it exposes how much of what was certified was a proxy. The crisis is not simply cheating but a proxy problem, and resolving it forces a question the discipline has long avoided: what is the irreducible human core of mathematical competence, and how can it be built when some of the executable work can be offloaded? We set out two futures: displacement-and-re-centering, in which AI takes over some execution and education moves toward judgment, formulation and verification; and atrophy, in which premature offloading may erode capacities that depend on prior construction. At the heart of the optimistic future is a verification instability: some forms of oversight are cheap and bounded, while others approach the competence required to construct the work. The outcome is a design choice, not a technological destiny. Rather than add a model, we state the response as two principles: construct before you delegate, and let verification set the ceiling: how far a student can independently verify AI output limits what they may safely delegate. We illustrate with a sequence and two worked problems, and close on the question: whether the construct-before-delegate dependency is a hard constraint or an artefact of how mathematics has been taught.
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@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-…
@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…
@v_i_o_l_a@openbiblio.social"On the way to responsible practices – Scope of AI guidelines for scientific publishers and research data" @ b.i.t.online 29.4.2026
https://b-i-t-online.de/heft/2026-04-index.php
"Generative AI is affecting the science system in different domains, including resea…
@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…
@toxi@mastodon.thi.ngReminder: Just as with Age ID and Chat Control legislation justifications, the AI build out, the price gauging of memory, storage (and CPU/GPU/SOCs too), the emerging hardware leasing & subscription models — all this is not just driven by generative AI in the form of chatbots, media generators, automation, job replacements, FOMO stories and other "obvious" reasons repeated ad infinitum by CEOs and in the media...
The only way these industry shifts and largest tech investments ever …
@trochee@dair-community.socialOh no I just found out that one of my favorite Buddhist teachers has just gone all AI grifter
Tara Brach, WYD this is not the dharma
https://lnkd.in/p/gcynwNDX
@johl@mastodon.xyzTowards a practice of knowledge commoning: academics’ ethical duties to defend Wikipedia in the age of generative AI
https://link.springer.com/article/10.1007/s43681-026-01373-z?status=info&saved-doi=10.1007/s43681-026-…
@ddrake@mathstodon.xyzReading "Know thine enemy: A critical engagement with AI-assisted software development" by Amy Ko ( https://medium.com/bits-and-behavior/know-…
@arXiv_eessIV_bot@mastoxiv.pageA Foundational EDM2-Based Generative Model for High-Resolution Synthetic Fetal Ultrasound Imaging from Open Datasets
Harvey Mannering, Yilin Zhang, Ziao Liu, Zhiwu Huang, Jacqueline Matthew, Miguel Xochicale
https://arxiv.org/abs/2608.05471 https://arxiv.org/pdf/2608.05471 https://arxiv.org/html/2608.05471
arXiv:2608.05471v1 Announce Type: new
Abstract: Prenatal ultrasound imaging is key for assessing fetal health, but AI progress is limited by scarce, privacy-restricted, and hard-to-annotate datasets. We propose a high-resolution fetal ultrasound synthesis framework based on the EDM2 diffusion architecture, trained on multiple public datasets to generate 512x512 images across six anatomical classes. Our method achieved improved image quality with lower FID scores and enhanced downstream fetal plane classification, reaching 93.36% ensemble accuracy after fine-tuning, surpassing real-data-only training. Clinical evaluation by an experienced fetal ultrasound specialist (10 years) on 100 images yielded a mean realism score of 2.67/5, with real images rated higher than synthetic. Artefacts included smoothing, speckle irregularities, and anatomical inconsistencies. Code, data, models and other resources to reproduce this work are available at https://github.com/xfetus/fetal-ultrasound-edm2.
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@elduvelle@neuromatch.socialAnother reason not to publish in #Frontiers... they use genAI to create alt-text for their figures 🤦
Seriously, remind me why we are paying journals when they can't even write their own Alt-text?
#AcademicChatter
@publicvoit@graz.social @Mediagazer@mstdn.socialAudible debuts new features, including a character guide and AI-powered stories that let users interact with characters, built with creator involvement (Sarah Perez/TechCrunch)
https://techcrunch.com/2026/10/01/audibles-new-fea…
@ErikJonker@mastodon.socialThere is more then Generative AI / LLMs , nice article about this,
"The important skill is not always choosing the newest model. It is choosing the right model for the problem."
https://www.kdnuggets.com/7-machine-learning-algorithms-that-still-matter
@mlncn@social.coopi agree with some of the critiques aimed at Cory Doctorow on here, but he is a pretty effective communicator and the main thing he has been trying to communicate for like a year now is that every country in the world that is not the United States needs to ditch anti-circumvention laws immediately, to the benefit of basically everybody, and this one hits most of his high points (and generative "AI" not at all) plus it made me realize me why i instinctively skipped most of the popula…
@ripienaar@devco.socialSomehow didn’t know there was a specific Otel standard for generative AI systems.
Plumber it into my little harness and it’s quite nice.
Here 2 x prompts and a number of tool calls. Need to expand it to instrument a few more things but how nice is that.
@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…
@cdarwin@c.imAdvanced developers describe a new kind of fatigue with generative artificial intelligence:
"vibecoding fatigue"
or "AI brain fry".
This could affect all language professions, from journalists to lawyers to translators.
https:/…
@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…
@newsie@darktundra.xyzTwitch is Mining Peoples' Streams to Train Amazon's AI https://www.404media.co/twitch-training-amazon-ai-models-how-to-opt-out-setting/
@jonippolito@digipres.clubGenerative AI’s per-query footprint can be small compared to flying, eating meat, or even Zoom. Until agents show up and compute goes through the roof.
How I updated my AI footprint calculator accordingly https://jonippolito.substack.com/p/agents-are-where-ais-energy-bil…
@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
@Mediagazer@mstdn.socialA look at Human Generative Workflows, a framework developed by a group led by Kathleen Kennedy, in which AI use in Hollywood stays under human creative control (Richard Rushfield/The Ankler)
https://theankler.com/first-look-hollywoods-secret-ai-talks-go-…
@aardrian@toot.cafeThis post gets regular inline updates:
https://adrianroselli.com/2024/04/what-you-can-do-as-a-web-builder-on-earth-day.html
Today I added a Nature article, the Web Sustainability Guidelines Impact Ratings, and the Carbon in Context calcula…
@rasterweb@mastodon.socialAlso from Codeberg:
"You must not share projects that mostly consist of code written by "generative AI"-tools (including services such as *Claude*, *OpenAI Codex*).
Such projects having an unclear copyright status and furthermore have little safeguards to ensure that they do not include harmful code."
@Techmeme@techhub.socialSources: OpenAI is developing features to counter SpaceX's Grok Bot "teammates", and has discussed creating a personal AI assistant to compete with Meta's Muse (The Information)
https://www.theinformation.com/articles/op
@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.
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@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…
@arXiv_csHC_bot@mastoxiv.pageNarrative Keyframing for Generative Creative Writing
Chao Zhang, Abe Davis
https://arxiv.org/abs/2608.10337 https://arxiv.org/pdf/2608.10337 https://arxiv.org/html/2608.10337
arXiv:2608.10337v1 Announce Type: new
Abstract: We introduce narrative keyframing, an interaction technique for AI-assisted creative writing that lets writers specify different types of narrative constraints at selected moments in a story, then use AI to generate intervening prose. Inspired by the use of keyframing in animation, narrative keyframing offers a flexible way to connect story planning with adaptive control over generated text. We explore three types of keyframes: plot keyframes define significant events in a story, character keyframes represent how individual characters change over the narrative, and perspective keyframes capture how individual characters experience different events through first-person narratives. Plot and character keyframes offer a flexible way to adapt the type of high-level conditioning explored in previous AI writing tools to more customizable, iterative, and fine-scale control, while perspective keyframes add a new way to control characterization and focalization by using first-person narratives as an intermediary. Through a user study, we show that narrative keyframing supports a more controllable, transparent, and engaging way to use generative AI in creative writing.
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@arXiv_csCY_bot@mastoxiv.pageGenerative AI May Reinforce Social Biases in Software Engineering Education
Erfan Entezami, Andrew Lan, Madeline Endres
https://arxiv.org/abs/2609.28483 https://
@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…
@theodric@social.linux.pizzaI'd love to see what the Dadaists would have done with generative AI
@cdarwin@c.imGOP gubernatorial candidate Steve Hilton on July 24 released three cinematic ads that used generative AI,
the first of which features fictional portrayals of Kamala Harris and Gavin Newsom, shown sharing a lavish meal.
The ad also depicts a fake Xavier Becerra, his Democratic rival in the governor’s race, who is heard saying,
“I believe all the things that Newsom believes.”
The ad ends with Hilton facing off against a massive red-eyed robot meant to represent the “Demo…
@mlncn@social.coopDestroying rare books to stave off large language model collapse seems like a far cry from recursive self-improvement for generative 'AI'.
@arXiv_econGN_bot@mastoxiv.pageOrganizational Technology Ladders: Remote Work and Generative AI Adoption
Gregor Schubert
https://arxiv.org/abs/2608.11626 https://arxiv.org/pdf/2608.11626 https://arxiv.org/html/2608.11626
arXiv:2608.11626v1 Announce Type: new
Abstract: This study proposes that firms move along an "organizational technology ladder": adopting one technology transforms hiring and work processes and builds skills and organizational capital that change the cost of adopting subsequent technologies. I study how firms' adoption of remote work technology during the COVID-19 period shaped later uptake of generative AI. Using U.S. job-posting data and an instrumental-variables strategy based on predicted differences in labor-market pressure to offer remote work, I estimate that a 10 percentage point increase in remote hiring in 2021-2022 increases the share of job postings mentioning generative AI in 2023-2024 by 0.4 percentage points across firms and 0.7 percentage points across occupations within firms. I provide evidence on mechanisms consistent with a technology-ladder channel: remote work adoption shifts hiring toward technical and managerial capabilities that predict faster conversion of generative AI exposure into adoption. Firms with return-to-office mandates---interpreted as revealing low remote productivity---exhibit a substantially larger response of generative AI adoption to remote work, consistent with an organizational frictions channel.
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@Mediagazer@mstdn.socialQVC and HSN hosts vote to unionize and join SAG-AFTRA, an organizing drive fueled by concerns around generative AI (Katie Kilkenny/The Hollywood Reporter)
https://www.hollywoodreporter.com/business/business-news/qvc-hosts-vote-unionize-1236655895/…
@memeorandum@universeodon.comMayor Mamdani and Chancellor Samuels Put Students First with Nation's Broadest Generative AI Moratorium in Schools (City of New York)
https://www.nyc.gov/mayors-office/news/2026/09/mayor-mamdani-and-chancellor-samuels-put-students-first-with-nat
http://www.memeorandum.com/260902/p63#a260902p63
@colinpurrington@flipping.rocksToday I sent an email to pesticide regulators in all 50 states asking them to investigate Tougher Than Tom's advertising tactics. The Texas-based company is using generative AI to mislead consumers into believing the Mosquito TNT traps mosquitoes. #mosquitoes #ai #advertising #fifra
@tiotasram@kolektiva.socialMid- (ongoing) -pandemic "back to the office" mandates and "use AI" mandates are two sides of the same coin that illustrate just how much "technology" happens at the whims of the CEO class, and any description of generative AI as an "inevitable" or "here to stay" technology that doesn't account for that is propaganda.
#AI #GenAI #LLMs
@arXiv_csCY_bot@mastoxiv.pageMapping the Authorized Boundary: A Comparative Policy-Vignette Study of Generative AI Governance in Australian Higher Education
Biranchi Poudyal
https://arxiv.org/abs/2609.29689
@arXiv_csHC_bot@mastoxiv.pageAI-Generated Interactive Fiction for Educational Use: A Pilot Study of Perceived Comprehensibility, Coherence, and Engagement
Finn Rogosch, Andreas Schrader
https://arxiv.org/abs/2608.10818 https://arxiv.org/pdf/2608.10818 https://arxiv.org/html/2608.10818
arXiv:2608.10818v1 Announce Type: new
Abstract: Generative artificial intelligence (AI) can produce educational content at scale, including interactive and narrative learning experiences, but technical generation alone is not sufficient: scenarios that are confusing, narratively inconsistent, or unengaging are unlikely to be useful in practice. This paper presents a pilot user-centred evaluation of AI-generated interactive fiction (IF) for educational use in higher education. Using a previously described domain-agnostic pipeline and a shared STEM content base, we generated a controlled pool of scenarios and asked participants (N = 22, STEM higher-education) to play one generated episode and rate it on narrative clarity, story-content coherence, engagement, and length acceptance. A free-text prompt captured open feedback. Narrative clarity and length acceptance were rated positively, engagement sat near the neutral mid-point of the scale, and story-content coherence was the weakest dimension by a clear margin. Qualitative feedback points to quiz integration as the bottleneck. Artificial in-fiction motivation for quiz prompts and abrupt setting changes were reported. Feedback also pointed to missing story-level consequences for wrong answers. From these observations, we derive concrete design implications that can inform larger follow-up studies, including later work on learning effectiveness.
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@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/
@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/
@Techmeme@techhub.socialSources: Anthropic is in talks to buy Decart, which offers real-time generative video and GPU optimization tech, for about $6B (Bloomberg)
https://www.bloomberg.com/news/articles/2026-08-13/anthropic-said-in-talks-to-buy-ai-st…
@teledyn@mstdn.caCEO of AI company loses paper on cognitive impact of generative AI – Retraction Watch
https://retractionwatch.com/2026/09/14/american-psychological-association-technology-mind-behavior-sarah-baldeo-id-quotient/
@arXiv_csHC_bot@mastoxiv.pageMazzikaAI: A knowledge-based performance-to-prompt compiler for real-time Arabic maqam accompaniment with a streaming text-to-music model
Jiaxin Du, Boulbaba Abdeljaouad, Yong Zhuang, Haoyu Li
https://arxiv.org/abs/2608.10360 https://arxiv.org/pdf/2608.10360 https://arxiv.org/html/2608.10360
arXiv:2608.10360v1 Announce Type: new
Abstract: Arabic maqam music microtonal, modal, and built on ornamented call and response is among the traditions most underserved by generative music models, whose training frameworks remain predominantly Western and equaltempered. Real time accompaniment sharpens this gap: an AI partner must listen, adapt dynamically, and respect idiomatic microtonal structures. Streaming text to music models provide strong generative capabilities but lack precise control interfaces. We present MazzikaAI, a knowledge based system that uses natural language as the actuator of a realtime control loop. By compiling live MIDI, gesture, and inferred harmony into continuously updated text prompts, MazzikaAI steers an unmodified streaming generator, Google Lyria RealTime, without requiring model finetuning. The system embeds expert knowledge of six core maqamat, characteristic ornaments, and ensemble dynamics, maintaining realtime responsiveness with subsecond keytoaudibleupdate latency. Empirical evaluations demonstrate that dynamic prompt compilation reliably grounds generation in microtonal scales, significantly increasing offgrid quartertone content over baseline generation. Beyond its core implementation, MazzikaAI illustrates how deterministic knowledgebased rules can effectively bridge expert, nonWestern musical traditions and unfinetuned foundation models. This architecture establishes a scalable paradigm for realtime humanAI cocreation, offering a generalizable blueprint for interactive accompaniment, adaptive music education, and culturally inclusive generative audio across diverse global idioms.
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@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_econGN_bot@mastoxiv.pageHow Organizations Use AI: Evidence from ChatGPT
Aaron Chatterji, David Holtz, Neel Rakholia, Prasanna Tambe, Gawesha Weeratunga
https://arxiv.org/abs/2608.12236 https://arxiv.org/pdf/2608.12236 https://arxiv.org/html/2608.12236
arXiv:2608.12236v1 Announce Type: new
Abstract: We study how organizations use frontier generative AI by linking ChatGPT Enterprise account records to usage, worker roles, task classifications, and public-company financial data through March 2026. These linked data enable a privacy-preserving analysis of adoption, worker roles, and message-level tasks at scale: for instance, the worker-level sample we analyze at the six-month adoption horizon includes over 1,500 organizations and over 17 million messages. We document four facts about enterprise AI adoption and use. First, ChatGPT Enterprise usage has grown rapidly due to a combination of new firm adoption and growing intensity among existing adopters. Second, U.S.-based public company adoption is concentrated among larger, more valuable, and more R&D- and SG&A-intensive firms. Third, active use within adopting firms spans job functions and seniority levels, with especially high usage intensity among early-career workers. Fourth, ChatGPT Enterprise usage encompasses a broad range of knowledge work tasks, including writing, technical work, communication, and information synthesis. In aggregate, these results suggest that firms differ widely in the speed, breadth and purpose of their enterprise AI adoption, and that they are still actively learning how to integrate AI into organizational workflows.
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@Techmeme@techhub.socialTwitch says it intends to use videos streamed on its platform to help train Amazon's generative AI models and tells creators how to opt out (Amanda Silberling/TechCrunch)
https://techcrunch.com/2026/08/12/amazon-will-train-o…
@Mediagazer@mstdn.socialTwitch says it intends to use videos streamed on its platform to help train Amazon's generative AI models and tells creators how to opt out (Amanda Silberling/TechCrunch)
https://techcrunch.com/2026/08/12/amazon-will-train-o…
@chris@mstdn.chrisalemany.caIs the party ending or are they just admitting it's bad and will carry on as usual. And are governments who were and are all too happy to try to hop on the bandwagon (*cough* Carney *cough*) going to understand that we need to put this genie back in the bottle!?
"Executives working on AI at Microsoft and OpenAI admitted what its critics have been saying all along: Large language models are predatory pieces of technology that have been built on what a Microsoft executive called “an astonishing theft of unprecedented proportions,” and the “largest theft of labor in human history.” An internal Microsoft document said generative AI products have created a “doom loop” that is killing “the entire web.” "
#CanPoli #CdnPoli #AI #Canada #theft #intellectualProperty
@arXiv_econGN_bot@mastoxiv.pageCrosslisted article(s) found for econ.GN. https://arxiv.org/list/econ.GN/new
[1/1]:
- Innovating with Generative AI: A Human Bottleneck Framework
Julian De Freitas, Ayelet Israeli, Gideon Nave, Artem Timoshenko, Olivier Toubia
https://arxiv.org/abs/2608.07504 https://mastoxiv.page/@arXiv_csHC_bot/117075940481496711
- When LLM Agents Negotiate: Private Information and Dynamic Bargaining in Supply Chains
Chen Liang, Fasheng Xu
https://arxiv.org/abs/2608.07538 https://mastoxiv.page/@arXiv_csAI_bot/117075723614587104
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