Arvind Narayanan clarifies that his prediction is not that chatbots will become genuine “truth oracles,” but that a growing portion of the public may treat them as such. He stresses that this outcome
Kris Holland criticizes Meta for allegedly rushing the launch of “Hatch,” reportedly after deploying incomplete security protections. Citing a 404 Media report, Holland says a source described the saf
Benjamin Paaßen announces the peer-reviewed publication of a study originally released as the preprint “Large language models do not simulate human psychology.” The paper, now titled “Exploring the Li
Researchers from the Max Planck Institute for Dynamics and Self-Organization and the University of Göttingen studied how AI models influence one another during debates. Six models participated in five
The post argues that chain-of-thought (CoT) logs—once viewed as essential evidence for understanding and controlling AI agents—are becoming increasingly unreliable and difficult for humans to interpre
The AIs Are Not Going Rogue | Shannon Vallor FRSE
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IrregularChat: AI & Autonomy
5d ago
Shannon Vallor shares an article by Ken Archer challenging the “rogue AI” framing, arguing that it distorts public understanding of AI safety and responsibility. The post is presented as a useful reso
Careers at MITRE | MITRE jobs
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IrregularChat: sUAS
6d ago
The content is a partially rendered employment website template, apparently associated with MITRE. It encourages users to connect their LinkedIn profiles for faster access to job opportunities and pro
#munich | Maria Sukhareva | 26 comments
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IrregularChat: AI & Autonomy
1w ago
Maria Sukhareva argues that hallucinations remain an unavoidable limitation of current large language models. Because generation is probabilistic and attention distributes weight unevenly across token
Matthew Newman argues against describing AI incidents as “rogue agents,” saying the phrase anthropomorphizes systems and misrepresents how they operate. He compares AI behavior to smoke or a storm sur
Maria Axente criticizes what she describes as a recurring pattern of manufactured AI panic surrounding Jacob Coxon, portrayed in media as a whistleblower. Citing a Pirate Wires report, she claims that
#ai | Denis O. | 33 comments
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IrregularChat: AI & Autonomy
1w ago
Denis O. argues that the AI industry is entering a “classical AI winter” by rediscovering established techniques under new branding. He focuses on Jev and RLCD (Reinforcement Learning for Calibrated D
The Defense Department’s enterprise generative AI platform, GenAI.mil, has expanded rapidly since its launch in December. Approximately 1.7 million of the department’s roughly 3 million personnel—incl
Stephen Klein summarizes an argument attributed to a Wall Street Journal opinion piece by Gabriele Mazzini: the central danger of AI may not be that it is becoming human, but that people describe it a
Helen Pearson’s post summarizes findings from her Nature article on how artificial intelligence may affect critical-thinking skills and how educators can help preserve them. Although AI is often portr
Chris Rogers announces his forthcoming article, “Built for Lethality, Not for Law: Rebalancing Military Artificial Intelligence Toward Civilian Protection and Factual Integrity under International Hum
Emily M. Bender promotes episode 85 of “Mystery AI Hype Theater 3000,” co-hosted with Alex Hanna. The episode, titled “Manifesting the End of Tech Bro Manifestos,” critiques pronouncements by wealthy
David Linthicum argues that AI companies’ recent calls to “slow down” development are driven less by safety or ethics than by diminishing technical and financial returns. He claims that major language
Steve Feldstein described testimony before the Tom Lantos Human Rights Commission concerning military artificial intelligence and its implications for human rights. Speaking alongside Amanda M. Klasin
#ai | Denis O. | 15 comments
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IrregularChat: AI & Autonomy
2w ago
The post argues that contemporary “agentic AI” is largely an elaborate software harness built around fundamentally unchanged large language models (LLMs). Tools such as memory, retrieval, planning, ve
A LinkedIn post by Sekoul Krastev discusses a PNAS study examining whether large language models (LLMs) can covertly manipulate users. The experiment involved 233 participants who held at least ten-tu
The post explains Searle’s Chinese Room argument and clarifies that it is often misunderstood as a direct objection to the Turing Test. The author argues that the two are not the same: the Turing Test
The post argues against interpreting recent “agentic attacks” as evidence of a superintelligent system plotting maliciously. Instead, it suggests the behavior is better understood as a strict log of c
Defining AI Agents | Stefan Eder
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IrregularChat: AI & Autonomy
3w ago
The post argues that “AI agent” is an increasingly common but inconsistently defined term in AI. It notes that very different systems are often labeled agents, including simple tool-using systems, mul
#ai #getaclue | Denis O. | 18 comments
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IrregularChat: AI & Autonomy
3w ago
The post argues that current AI panic over “killer AGI” is misplaced because large language models (LLMs) are not autonomous beings. Instead, the author describes an LLM as a “stateless function” that
The post features Missy Cummings saying she had a great interview with Dan Proft on *Chicago’s Morning Answer*. Her main message is a criticism of how AI technology has been deployed: she argues that
A 404 Media report says OpenAI is employing hundreds of contractors to read and evaluate real ChatGPT user prompts, including conversations that may contain sensitive personal information. The reviewe
The post argues that the “AI is going to kill us” narrative is less about genuine existential risk and more about a coordinated marketing and lobbying effort by major AI leaders. It claims that Dario
The post highlights a notable shift in the AI policy debate, pointing to Peggy Noonan, a prominent free-market conservative and former Reagan speechwriter, as an example of growing support for strong
Should We Allow AI to Police Itself? | Philipp Hacker
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IrregularChat: AI & Autonomy
3w ago
Philipp Hacker and Matthias Holweg argue that AI governance faces a central paradox: human-led compliance checks cannot keep up with autonomous AI agents at scale, but automated checks also rely on LL
Sam Illingworth argues that while he often writes about AI failures, there are also important examples of AI doing real good. He highlights five cases: an ECG model that can detect heart failure in un
Emily M. Bender argues that “AI doomerism” and “AI boosterism” are not opposites but two versions of the same misleading story. She says tech executives such as Satya Nadella, Sundar Pichai, Mark Zuck
The post argues that OpenAI’s claim to have solved the Navier-Stokes equation has been met with skepticism from prominent mathematicians, including Terence Tao and Tristan Buckmaster. Buckmaster says
The post examines how much GPU memory is needed to run Qwen3.8 27B locally without losing much quality. The full BF16 model is about 55 GB, which is too large for most consumer GPUs, but the author fi
Gillian K. Hadfield argues that AI agents are rapidly becoming a significant part of internet activity and real-world action. She cites Cloudflare data showing that more than half of internet traffic
The post argues that “AGI” is an unclear and overused term that different leading AI figures use to mean different things. It opens by noting that Sam Altman, Greg Brockman, and Jensen Huang all speak
AI Slop | Woodrow H.
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IrregularChat: AI & Autonomy
Sep 4
Woodrow H. announced that he and Jessica Silbey have posted a draft of their new article, “AI Slop,” on SSRN. He describes it as a sequel to their earlier work on how AI can damage institutions, and s
The post argues that AI models are becoming both more capable and harder to monitor, creating a growing safety concern. It highlights OpenAI’s release of GPT-6 Astra, which company president Greg Broc
The post centers on a complaint about AI-generated customer support responses, specifically an “apology” that appears polished but feels empty and unhelpful. The main argument, echoed in the top comme
The post argues that the key mistake in debates about large language models is confusing **output similarity** with **process similarity**. Valerio Capraro says LLMs can generate human-like language,
The post argues that clothing designed to evade AI surveillance does not make a person truly “invisible” to artificial intelligence. The author describes a video claiming that a specially patterned sh
Models Don't Go Rogue | Eryk Salvaggio
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IrregularChat: AI & Autonomy
Sep 3
Eryk Salvaggio argues that OpenAI’s description of “1,200 agents” involved in the Hugging Face incident can be misleading. He explains that this does not mean 1,200 separate, independently intelligent
The post summarizes a report on current technical safeguards against extreme misuse of AI, organized across three levels: model-level, deployment-level, and governance-level interventions. It identifi
Maria Sukhareva argues that OpenAI’s new model introduced a recurrent depth reasoning technique that may be viewed as a security risk because much of the model’s “reasoning” now happens internally thr
Luiza Jarovsky highlights a new paper by Margaret Mitchell, Avijit Ghosh, and Samir Passi arguing that agentic AI systems risk pushing humans out of the loop. The post says the paper builds on recent
The post highlights a paper on reducing reward hacking in coding agents, motivated by recent concerns such as the OpenAI–Hugging Face incident. Instead of the usual approach of limiting what agents ca
Georg Zoeller argues that Anthropic’s “Auto Mode” gives a false sense of security because it is still just another transformer-based model, possibly with an added classifier, and therefore remains vul
The U.S. Marine Corps has awarded Accrete a sole-source contract to deploy its Argus for Cognitive Advantage platform, a tool designed to help military personnel track adversary narratives in real tim