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<p>Discussing technical proposals aimed at preventing AI systems from generating exploitative content.</p>

I receive an AWS Budgets alert that my budget is exceeding the alert threshold. Threshold is 5$. Forecasted amount is listed as $3,005,575,870.47. (Yepp, right, that’s 3 billion dollars.) I haven't even used AWS actively in the last year, but AWS console lists the amount as stated above. No feedback from AWS support yet, but the support AI chat bot says: "Die perfekt gleichmäßigen Tageskosten seit dem 1. Juli deuten stark auf einen Abrechnungs- oder Messfehler hin." ("The perfectly consistent da

Brussels may spend billions on semiconductor fabs, but tech sovereignty remains firmly in American and Chinese hands

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Enterprise Document Intelligence [Vol.1 #9B] - One call wires the four upgraded bricks together, run on a paper, a NIST standard, and a report with a broken TOC The post One RAG Pipeline, Four Very Different PDFs: Same Four Bricks, Every Answer Typed and Cited appeared first on Towards Data Science .

A White House teleprompter allegedly made $100,000 betting on Donald Trump's speeches, and "Jimmy Kimmel Live!" has thoughts.

This could be a clue to how life was born. ScienceAlert stories are written, fact-checked, and edited by humans, never generated by AI. Don't miss a story, subscribe here.

The City Attorney’s Office sent the tech giants cease-and-desist letters this week telling them to stop profiting from 13 “face-swap” apps that are overwhelmingly used to target women and girls.

Sarah Friar, CFO of OpenaAI, introduces a practical AI scorecard to measure ROI through useful work, cost per successful task, dependability, and return on compute.

A specific multi-touch gesture bypasses an authentication prompt, allowing anyone to send messages

Article URL: https://velyr.io/blog/validating-llm-code-edits-without-running-the-code Comments URL: https://news.ycombinator.com/item?id=48944944 Points: 1 # Comments: 0

A hidden threat. ScienceAlert stories are written, fact-checked, and edited by humans, never generated by AI. Don't miss a story, subscribe here.

The CEO of Foundation Future Industries, which counts the president’s son as its chief strategy adviser, tells WIRED it’s exploring some “kinetic things.”

Perimenopause has entered the chat. Perimenopause—and its better-known relative, menopause—used to be considered taboo. Not anymore, thanks at least in part to TV doctors and social media influencers. Perhaps it’s my age, but these days, both my algorithm and my conversations with friends increasingly swing toward perimenopause. Menopause is defined as the life stage that…

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Netflix now uses AI in about 300 productions, mostly in post-production. Co-CEO Ted Sarandos put specific numbers to the effort: the docuseries "The American Experiment" includes 17 minutes of AI-assisted footage, produced twice as fast at half the cost. The savings will "likely" fund more content rather than shrink the $20 billion budget. The article Netflix's 300 AI productions show how fast the technology is spreading through entertainment appeared first on The Decoder .

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<!-- SC_OFF --><div class="md"><p>I have released EU AI Act OpenRAG, a downloadable corpus of Regulation (EU) 2024/1689 designed for RAG and legal-NLP experimentation.</p> <p>Instead of sliding character windows, the corpus chunks on the Regulation’s legal structure:</p> <ul> <li>one chunk per article paragraph</li> <li>one per recital</li> <li>one per Article 3 definition</li> <li>one per annex point</li> <li>chapter, section and provision metadata stored separately</li> </ul> <p>The resulting

SPONSORED POST: Feeling stuck with your AI application projects? Gartner has the solution

Article URL: https://github.com/sushilk1991/velora Comments URL: https://news.ycombinator.com/item?id=48944208 Points: 1 # Comments: 0

Article URL: https://arxiv.org/abs/2607.14480 Comments URL: https://news.ycombinator.com/item?id=48944202 Points: 2 # Comments: 1

Article URL: https://apostrophe-app.fr/en/ Comments URL: https://news.ycombinator.com/item?id=48944192 Points: 1 # Comments: 0

Learn how to build AI citations and rank in ChatGPT and Gemini. Charlie Marchant explains how to research prompts, analyze sources, and use proactive outreach to get your brand referenced in AI answers.

<p><strong>BBC Philharmonic/Havlat/Kaziboni/Piatti Quartet<br>(NMC)</strong><br>Einstein’s field equations, Newton’s universal law and artificial intelligence are among the subjects of Laidlow’s ambitious orchestral works</p><p>Robert Laidlow is as at home in the realms of science and technology as he is in the world of classical music. As this NMC debut album demonstrates, his intricate, wildly imaginative work is eminently approachable, even if the core concepts are highly complex.</p><p>Warp,

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Article URL: https://lwn.net/Articles/1080162/ Comments URL: https://news.ycombinator.com/item?id=48943648 Points: 2 # Comments: 0

<p>Since 2017, Iason Gabriel has worked at the tech giant, trying to anticipate – and think through – the impact of AI. But as commercial and geopolitical pressures escalate, can ethicists make any difference?</p><p>By Robert P Baird. Read by Simon Darwen</p><p><strong><a href="https://www.theguardian.com/news/ng-interactive/2026/jun/30/theres-this-deep-mystery-of-what-actually-is-this-thing-the-philosopher-inside-google-deepmind">Read the text version here</a></strong></p><p><strong>Support the

These princesses were buried with their weapons for a reason. ScienceAlert stories are written, fact-checked, and edited by humans, never generated by AI. Don't miss a story, subscribe here.

arXiv:2607.13918v1 Announce Type: cross Abstract: Serial verification gates are a core reliability primitive in LLM harnesses: a candidate answer is returned only if $k$ verifier calls all accept it. Under conditionally independent gates, the recent Odds Law (arXiv:2606.15712) shows that posterior log-odds grow linearly in $k$, so failure decays exponentially, and states that "a tight theory of partially correlated verifier cascades remains open." This note gives a minimal such theory. Modeling

arXiv:2607.13921v1 Announce Type: cross Abstract: Languages with rich static semantics, such as Rust, provide stronger guarantees for AI-generated code, but their strictness makes generation more difficult. Off-the-shelf compilers can provide useful feedback post-generation, but does not guide intermediate generation steps, such as those during autoregressive LLM decoding. Constrained decoding intervenes earlier by rejecting invalid tokens during sampling, but requires white-box model access and

arXiv:2607.13978v1 Announce Type: cross Abstract: Music-driven dance generation aims to produce human motion that is both rhythmically synchronized and semantically consistent with music. While recent neural approaches have achieved impressive visual realism, they typically model motion as a continuous signal and neglect its compositional nature, making generated dances structurally incoherent and difficult to control. In this work, we introduce a structure-aware framework that models choreograp

arXiv:2607.13998v1 Announce Type: cross Abstract: The rapid proliferation of Agentic Artificial Intelligence fundamentally disrupts traditional customer loyalty paradigms. As AI evolves from passive recommendation algorithms to autonomous, goal-directed agents capable of executing purchasing decisions, the conventional understanding of consumer-brand relationships requires a structural reevaluation. By synthesizing extant literature across human-machine teaming, consumer decision-making, and alg

arXiv:2607.14006v1 Announce Type: cross Abstract: Penetration testing traditionally evaluates whether adversaries can exploit weaknesses in software, infrastructure, configurations, or operational controls to achieve security-relevant compromise. This paradigm remains necessary for AI-enabled systems, but it is no longer sufficient. In such systems, adversaries may influence prompts, retrieved content, sensor inputs, training data, memory, tools, or human-AI interaction loops to alter system beh

arXiv:2607.14018v1 Announce Type: cross Abstract: We investigate how each component of the Transformer feedforward block architecture design determines how much rank survives across depth at initialization. We reinterpret skip connections and normalization, long understood as controlling magnitude, as mechanisms for preserving gradient rank across depth, since the very matrix multiplications and nonlinear activations that make the network expressive also reduce the rank. We show that skip connec

arXiv:2607.14037v2 Announce Type: cross Abstract: Agentic coding tools are increasingly capable of generating and submitting pull requests (PRs) to software projects, introducing new forms of human-agent collaboration in software development. While prior studies have examined PR-level outcomes of agent-generated contributions, less is known about how agentic coding tools are adopted and managed at the project level. In this paper, we analyze 25,264 agentic PRs from 2,361 popular GitHub repositor

arXiv:2607.14041v1 Announce Type: cross Abstract: Historical Manchu OCR must accommodate various visually distinct writing styles, including regular script, running script, and the semi-cursive chancery hand used in palace memorials, despite limited labeled data. We study a multi-expert system that reuses checkpoints from an iterative fine-tuning process as domain specialists and uses a lightweight page-level image classifier to dispatch pages by visual style. When the checkpoint pool lacks a su

arXiv:2507.19593v3 Announce Type: replace Abstract: Classical game-theoretic models typically assume rational agents, complete information, and common knowledge of payoffs - assumptions that are often violated in real-world MAS characterized by uncertainty, misaligned perceptions, and nested beliefs. To overcome these limitations, researchers have proposed extensions that incorporate models of cognitive constraints, subjective beliefs, and heterogeneous reasoning. Among these, hypergame theory e

arXiv:2510.10002v3 Announce Type: replace Abstract: As large language models (LLMs) are increasingly deployed in sensitive everyday contexts -- offering personal advice, mental health support, and moral guidance -- understanding their behavior in navigating complex moral reasoning is essential. Most evaluations study this sociotechnical alignment through single-turn prompts, but it is unclear if these findings extend to multi-turn settings, and even less clear how they depend on the interaction

arXiv:2601.20379v2 Announce Type: replace Abstract: Large language models (LLMs) struggle with complex, long-horizon reasoning due to instability caused by their frozen policy assumption. Current test-time scaling methods treat execution feedback merely as an external signal for filtering or rewriting trajectories, without internalizing it to improve the underlying reasoning strategy. Inspired by Popper's epistemology of "conjectures and refutations," we argue that intelligence requires real-tim