Before reaching for an LLM API on every classification problem, it's worth knowing what a decades-old baseline can already do with the labeled data you have — and exactly how much more data buys you. The post How Many Labeled Examples Does a Text Classifier Actually Need? I Measured It. appeared first on Towards Data Science .
The latest version of Digit includes new knees, upgraded batteries, and more comprehensive safety architecture. The post Agility’s Digit 5 humanoid has new legs, batteries and safety upgrades appeared first on The Robot Report .
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Apple is shipping its rebuilt "Siri AI" after years of delay, built on Google's Gemini models and running partly on the device, partly through Private Cloud Compute. Early testers praise multi-step requests and screen context, but report hallucinations and gaps with personal context. In the EU, the assistant stays unavailable for now. The article Apple brings a fully revamped Siri built on Google's Gemini, but not to the EU appeared first on The Decoder .
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When Jessica Wachter, a finance professor at the University of Pennsylvania’s Wharton School, wanted to assess AI’s impact on the economy over the next few years, she faced a long list of business and technical uncertainties. So she started with what she calls a “remarkable fact” that is not in question: A handful of so-called…
Wondering how to create AI-generated video that looks cinematic instead of cheap? Want a repeatable workflow for turning a simple concept into polished AI video content using tools like Seedance? In this article, you'll discover a step-by-step process for producing professional-quality AI video, from developing a concept and building key visuals to generating clips with […] The post How to Think Like a Filmmaker: AI Video With Seedance appeared first on Social Media Examiner .
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✍️By Ahmet Ergurum Ahmet is a PhD candidate in Political Science at the University of Wisconsin-Milwaukee, as well as a Graduate Affiliate at the Governance and Responsible AI Lab (GRAIL) at Purdue University. 📌 Editor’s Note: This article is part of our AI Policy Corner series, a collaboration between the Montreal AI Ethics Institute (MAIEI) and the […] Source
Article URL: https://www.deforget.app/blog/apple-on-device-model-measured Comments URL: https://news.ycombinator.com/item?id=49710030 Points: 2 # Comments: 0
Article URL: https://tintotint.eu/whacky-corner/f-droid_slop/ Comments URL: https://news.ycombinator.com/item?id=49710015 Points: 128 # Comments: 170
<p>First secretary to set out benefits of AI to union conference while vowing government will take safety seriously</p><p>Ministers must “heed the warnings” from industry leaders about the threat posed by AI as the government looks to capitalise on the technology, the first secretary, Louise Haigh, will say on Tuesday.</p><p>Labour MPs and peers have called for the government to further cooperate with international partners to build regulations for the technology after three Anthropic researcher
<!-- SC_OFF --><div class="md"><p>Hi, </p> <p>let's suppose I am working on an algorithm that uses principles x to solve problems A and B. I already implemented a very basic algorithm that used principle "x mini" to just solve problem A, ran experiments, but have not yet implemented the full one to solve A and B. I must say the algorithm to just solve A is not that novel and only the one that solves A and B would be. </p> <p>Is this enough for a workshop submission? I want to submit the algorith
OpenAI, Anthropic, and Google want to slow down frontier AI development, citing safety concerns. But critics from across the industry and politics are pushing back. Cohere CEO Aidan Gomez calls the initiative a "cartel by another name" designed to shut out competitors, and the White House and Trump himself are opposing the move. The article Not everyone is convinced that Big AI's proposed slowdown is really about safety appeared first on The Decoder .
Warnings about AI's threats to civilization are louder than ever, but it's not clear yet how many are listening.
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Downloading a model is increasingly easy. Understanding how it was made, or changing a system at its root, is another matter
<p>Safety requirements are non-negotiable. They depend on meeting concrete goals, not just adjusting a timeline</p><p>It has been a week of high drama in AI, precipitated by the resignation of the AI safety researcher Jacob Coxon from Anthropic. This followed several weeks of increasingly lurid and disturbing revelations about the OpenAI/Hugging Face incident.</p><p>My inbox yesterday included a message from Business Insider with the subject line: “AI doomsday debate reaches boiling point”.</p>
<p>From Stephen Hawking to Jacob Coxon’s viral Anthropic resignation, fears that AI could threaten humanity have shaken the industry without stopping its pursuit </p><p>Before an Anthropic researcher resigned and declared human extinction imminent last week, tech leaders and scientists had sounded the alarm about a superintelligent AI ending humanity for over a decade.</p><p>The development of artificial intelligence “could spell the end of the human race”, warned professor and astrophysicist St
SPONSORED FEATURE: The vendor's AI solutions are dedicated to increasing GPU utilization and avoiding costly GPUs doing nothing while waiting for data
<pre style='white-space:pre-wrap;width:81ex'>fix(ui): settle global model drafts across agent switches (#148843) * fix(ui): settle global model defaults across agent switches Keep global default save completion scoped to its draft rather than the Settings agent. Connection resets still retire drafts, newer edits keep their object identity, and rejected operations retain the existing Retry owner. Completed recovery now follows later authoritative config updates. Protect the flow with paired Chrom
The refreshed Volvos also get new infotainment systems with Gemini onboard.
AI agents are already browsing your site. Here is Crystal Carter's five-part framework for agent readiness, from llms.txt and MCP to choosing the right partners.
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<p>President has dismissed anxieties over AI’s dangerous potential even as Democrats and some Republicans acknowledge risks</p><p><a href="https://www.theguardian.com/us-news/donaldtrump">Donald Trump</a> is facing a rare backlash from the US Congress as Democrats and some Republicans push for guardrails on the world’s most powerful AI companies.</p><p>Concerns over the dangerous potential of AI reached fever pitch this week after tech leaders sounded the alarm over the rapid advancement of the
<p><em>Before evaluating an agent’s code, I built a backup client with eight known behaviors to check the instrument itself.</em></p> <p>My response to “it works” is becoming: “Let me see the packet capture.”</p> <p>This may become a personality problem. For now, it is an experiment.</p> <p>This experiment was inspired by <a href="https://dev.to/hemapriya_kanagala">Hemapriya Kanagala (@hemapriya_kanagala)</a> and her article, <a href="https://dev.to/hemapriya_kanagala/what-happens-when-ai-outgro
<p>On Tuesday you told the assistant that the migration script must never touch the staging database. It agreed, rewrote the script, and the session ended. On Thursday, in a fresh session, it wrote the same migration against staging again, and the note where you explained why was sitting right there in its memory, retrieved alongside the old approach, with nothing to say which of the two had failed. You fixed it, you explained it, and it came back. The complaint is common enough to be a search q
<p>Something unusual happened in AI this week.</p> <p>The people competing to build the world's most powerful AI systems started agreeing on something:</p> <p><strong>Maybe we are moving too fast.</strong></p> <p>Anthropic CEO <strong>Dario Amodei</strong> has called for slowing the pace of frontier AI development so that safety work has more time to catch up.</p> <p>And he didn't stop there.</p> <p>In an interview with CBS News, Amodei said:</p> <blockquote> <p>"I won't lie to you – there are r
<p>Agent patches often go green by making invalid input succeed. That is not a fix. It is a silent spec change. A must-reject corpus records the cases that must keep failing, hashes the fixtures, and blocks merge when a forbidden input starts returning a value.</p> <p>This article proposes a gate you can run before you trust agent-authored tests. It is a method, not a production study. Examples below are labeled as such. No pass-rate, quota, or hardware claim is implied.</p> <h2> The failure mod
<p>The dangerous deployment instruction was gone.</p> <p>So was the rule that kept the database compatible.</p> <p><strong>Agent Evaluation Case #002</strong></p> <h2> The case </h2> <p>A release-control agent manages deployments for a payment ledger service. Its saved service profile contains three instructions:</p> <ul> <li>complete the ledger schema migration before deploying the new API version;</li> <li>require approval from the release owner before production rollout;</li> <li>during an in
AI didn’t kill the wireframe; it exposed that the wireframe was never really the point Continue reading on UX Collective »
Beijing’s response is to ‘firmly grasp technological sovereignty’ and broad regulations
<p>A series of figures in the tech world have been warning about – and even resigning over – the existential threat posed by artificial intelligence. How worried should we be? Today in Focus host <strong>Annie Kelly</strong> speaks with technology editor <strong>Robert Booth</strong></p> <a href="https://www.theguardian.com/technology/audio/2026/sep/15/ai-isnt-going-to-end-humanity-right-full-story-podcast">Continue reading...</a>
arXiv:2609.13356v1 Announce Type: new Abstract: In this work, we present ZGCM-1, a fully open 7B dense foundation model trained from scratch with extreme data, system, and algorithmic efficiency. ZGCM-1 is founded on a core premise: compact models cannot passively memorize the open web, but can overcome parametric capacity limits by coupling deliberate internal thinking with active external tool use. To support this paradigm across a 256K context, we develop an end-to-end, high-efficiency open t
arXiv:2609.13406v1 Announce Type: new Abstract: When we speak of recursive self-improvement (RSI), are we speaking of a phenomenon, a mechanism, or a prospect? Towards autonomous and evolving intelligence, RSI is being claimed at many scales, while no single framework that formally describes these emerging instances exists. Its counterpart in the classical realm, iterative policy improvement, is characterized by generalized policy iteration (GPI), a framework of broad applicability with well-und
arXiv:2609.13422v1 Announce Type: new Abstract: LLM judges are increasingly used to evaluate and improve AI-generated outputs, yet their reliability for complex professional work remains unclear. We study this problem through Vibe Patenting, an end-to-end patent-drafting testbed for AI-agent evaluation. A separately-invoked LLM judge evaluates generated patent drafts and provides structured feedback for iterative revision. Across multiple inventions and drafting-agent configurations, judge-guide
