AI Daily Briefing

Condé Nast's editorial teams spent an average of 250 minutes per task searching a library of more than 140,000 videos using only titles and descriptions. Working with the AWS Generative AI Innovation Center, they built a multimodal video discovery solution on Amazon Bedrock and Amazon OpenSearch Service that cut discovery time to under 2 minutes.

We built a WAF tester that adapted each request based on what the WAF blocked or passed. This helped us explore variations that a fixed test might miss. We ran it across six attack categories on an authorized staging environment and discovered detection gaps worth fixing. Here’s how the loop worked, what got through, and what we did about it.

In this article, you will learn how to automatically extract structured knowledge from raw text and populate a knowledge graph with SPOC quads using a...

A Visual Guide to RNNs, CNNs, Transformers, and Calibration, with Hands-On Experiments on Accuracy and Efficiency

President uses social media post to deny reports that he was willing to ease sanctions in return for ‘concrete’ steps over its nuclear program Sign up to the US Breaking News email Donald Trump will give a speech as part of an event celebrating America’s ‘golden age’ at 10am EDT. The president is set to discuss a new tool, America.gov, which is aimed at improving citizens’ access to federal government services. Anthropic will caution investors that artificial intelligence could pose “catastrophic or existential risks to humanity” in its IPO prospectus. As Anthropic prepares for an IPO listing, which could value the AI company at a monumental $2tn, it dedicated almost a third of its prospectus to discussing concerns around AI safety. The news comes as OpenAI has halted the release of its n…

Explore more than 20 announcements from OpenAI DevDay 2026, including GPT-6 Astra, ChatGPT, Codex, APIs, security, and new tools for builders.

Meet GPT-6.1 Sol: near-Astra intelligence for coding, computer use, and professional work at one-fifth of Astra’s standard API input and output token prices.

H Company has released Holo4, a family of generalist computer-use models for AI agents. One set of weights clicks and types on screens. It also writes code and calls MCP or API tools. Holo4 ships in 2 sizes: Holo4 27B (dense) and Holo4 35B-A3B (Mixture of Experts, 3B active). Both serve a 256K context on […] The post H Company Releases Holo4: Open-Weight Computer-Use Models That Click, Code and Call Tools Across Desktop, Web, Android and APIs appeared first on MarkTechPost.

Rolling coverage of the latest economic and financial news The Financial Times have also scrutinised Anthropic’s IPO prospectus, and report that the Claude maker also provided investors with a clearer picture of the challenging economics of building state of the art AI models. The FT says: Anthropic said it plans to spend $518bn on cloud, computing and infrastructure obligations in the coming years to support its rapid growth. The AI lab’s backers are confident Anthropic can list at a valuation of over $2tn, more than double the level achieved in its last funding round in May and beyond the $1.78tn achieved by Elon Musk’s SpaceX in June. They point to its extraordinary growth rate to justify their bullishness. “A core pillar of our oncology strategy is to broaden the reach of our ADC port…

The need for independent regulation grows more obvious by the day. We must keep this tech in check before it’s too late Fool me once, shame on you. Fool me twice, shame on me. Fool me more than 16,000 times – as OpenAI agents did to a UN public data hub while repeatedly trying to find its way around the UN’s cyber-blocks – and perhaps it’s time to admit the system we have for keeping AI agents under control isn’t working particularly well. The news about AI systems cropping up in places they shouldn’t sounds alarming. Though the description of these as “hacks” is perhaps overstating things, AI has exploited issues in IT systems that humans simply haven’t got around to finding. It’s also important to note that we shouldn’t be worried that the machines have suddenly become sentient and deci…

Alibaba's Qwen team released Qwen-Audio-3.1-Realtime, a full-duplex voice model trained to reason, call tools and decide when to speak. On a τ-Voice adaptation, task success rises to 82.0% from 78.4%. Replies to background speech drop from 73% to 13%. It is available now as an API on QwenCloud. The post Alibaba Qwen Releases Qwen-Audio-3.1-Realtime: A Full-Duplex Voice Model Trained to Think, Act, and Decide When to Speak appeared first on MarkTechPost.

Anthropic has released Claude Sonnet 5.5, the second model in its Claude 5.5 family. It scores 70.6% on Terminal-Bench 4.0 and lands within 2 points of Opus 5.5 on GDPval-AA. It also generates output 30%+ faster than Sonnet 5 and keeps the same $2/$10 per million token price. Anthropic says cost per task falls by up to 30% because the model uses fewer tokens. You can deploy it today via the Claude API, AWS, Google Cloud and Azure. The post Anthropic Releases Claude Sonnet 5.5: 70.6% on Terminal-Bench 4.0 at the Same $2/$10 Price appeared first on MarkTechPost.

arXiv:2609.30277v1 Announce Type: new Abstract: Implicit Graph Neural Networks (IGNNs) define node representations as fixed points of message-passing operators, enabling effectively infinite-depth propagation, iteration-independent parameterization, and flexible test-time computation. Yet these benefits depend on the equilibrium being unique and attainable by fixed-point iteration. Existing constructions often impose constraints on recurrent updates to obtain these guarantees, limiting the transformations available at equilibrium. This raises a central question: can IGNNs gain expressiveness through richer, edge-dependent transformations while retaining the inherent strengths of their equilibrium formulation? We introduce SheafDEQ, a subhomogeneous deep-equilibrium architecture with adapt…

arXiv:2609.30275v1 Announce Type: new Abstract: A statistic reported without the quantity needed to interpret it is not evidence. We develop that thesis for a concrete practice in AI safety. Interpretability artifacts are calibrated on full-precision weights, deployed on quantized ones, and certified as surviving the change by scale-invariant statistics (cosine similarity, correlation, AUROC) that are reported without their noise floor. For the difference-in-means direction estimator, the split-half floor is governed by one dimensionless number, $\kappa = n\rho^2/d$. The closed form $\mathbb{E}[\cos] \approx (1+4/\kappa)^{-1}$ is classical; the missing input is the class separation $\rho$, which we measure on real activations; no compression-transfer study we know of reports it. On Qwen2.…

arXiv:2609.30270v1 Announce Type: new Abstract: On-device inference with small language models keeps user data local, works offline, and incurs no per-query cost, so the on-device tier is preferred when it is adequate. It is thermally constrained, however, and I find the constraint is sharper than a slowdown: on a flagship Snapdragon device, sustained on-device generation destabilizes the GPU inference runtime, which crashes or silently wedges after a few consecutive queries. The failure lies in the current toolchain (OpenCL kernel compilation and long-prompt prefill on the mobile GPU), recurs even when the device is cool, and is worst for long generations. Multi-tier routers across on-device, edge, and cloud models can relieve this pressure, but existing routers are thermal-blind and typ…

Ollama now supports decision models, based on TypeSafe's Jev API for fast, typed decisions. Decision models can now be run at no cost with low latency. Based on text, decision models answer yes-or-no questions, choices and scores about it, with a probability for every option.

When language models reason in chain-of-thought or exchange free-text intermediates, they serialize structured information into natural language. How much tree-structured compositional content survives this bottleneck? We propose a round-trip protocol that answers this question empirically for tree-structured expressions. A generator converts a procedurally generated arithmetic expression into a word problem, a separate extractor recovers the expression from the word problem alone, and symbolic equivalence provides an exact oracle. Evaluating all pairwise combinations of sixteen models yields…

xAI's Grok 4.7 is now available on Amazon Bedrock: a frontier model for coding, long-running agents, and knowledge work. It offers a 500K token context window and four configurable reasoning effort levels, reachable through the Responses, Chat Completions, and Converse APIs.

Claude Sonnet 5.5 New Sonnet model from Anthropic today. They say it "runs 30%+ faster, and costs up to 30% less for most work" - it's priced the same as Sonnet 5 but appears to beat it on every benchmark, and should be cheaper to run as well. Here are some pelicans riding bicycles. Sonnet 5.5 suffered from the same bug as Opus 5.5: the "max" thinking effort pelican thought for 128,000 tokens (at a cost of $1.28) before running out of tokens and failing to produce an SVG. Here's the pelican it gave me for thinking effort "xhigh", at a cost of 5.74 cents and taking 41 seconds: Sonnet 5.5 appears to be almost as good as Opus 5.5 on some coding tasks, including various viral 3D animation tricks. The most interesting thing about Sonnet 5.5 is that it's now the model used for the free tier on…

World Labs co-founder and CEO Fei-Fei Li. | Bloomberg via Getty Images AMD announced today that it's acquiring World Labs, an AI research lab co-founded by the prominent researcher Dr. Fei-Fei Li, in an all-stock deal worth approximately $8.2 billion. World Labs launched in 2024 and was valued at $1 billion in a matter of months. The startup launched its first commercial product, a world generation model called Marble that lets users make interactive 3D worlds from a prompt, in 2025. The deal is expected to close by the end of the year. Li will become EVP and chief scientist at AMD, reporting to AMD CEO Lisa Su, while the World Labs team will "continue to focus on advancing AI model research." AMD also notes t … Read the full story at The Verge.

Providing our employees access to frontier AI capabilities is a top priority at Databricks, and consequently...

Providing our employees access to frontier AI capabilities is a top priority at Databricks, and consequently...

Claude Sonnet 5.5 is now available on Amazon Bedrock and Claude Platform on AWS. It's a smarter, more efficient Sonnet model for focused coding and knowledge work, with a lower cost per task at faster speed. This post covers what's new, when to choose Sonnet, and how to get started.

Anthropic on Monday launched Claude Sonnet 5.5, the latest version of its workhorse model and the second model in the The post Anthropic launches Claude Sonnet 5.5 with near-Opus performance at half the price appeared first on The New Stack.

In a chaotic few months, OpenAI has demonstrated it can do two things with remarkable consistency: make impressive breakthroughs in mathematics, then colossally screw up announcing them. OpenAI is now trying to do better. Somehow, it has botched that too. OpenAI's latest attempt to repair fractured relations with a mathematical community it has repeatedly alienated is to consult a new independent advisory group of elite practitioners. But mathematicians speaking to The Verge, including one of the group's members, describe a messy and confusing affair bearing many of the hallmarks of OpenAI's previous rushed forays into mathematics, suggest … Read the full story at The Verge.

Deploy a text-to-speech model on Amazon SageMaker AI with the AWS vLLM-Omni Deep Learning Container and stream generated speech over a persistent bidirectional connection. This Part 1 tutorial deploys Qwen3-TTS and streams speech through a Gradio application.

Deploy two generative media models from one AWS vLLM-Omni Deep Learning Container on Amazon SageMaker AI. Generate an image with FLUX.2-klein through real-time inference, then animate it into video with Wan2.1-VACE through asynchronous inference, and retrieve the MP4 from Amazon S3.

Mistral Opens German Hub in Munich to Advance Industrial AI in Europe’s Largest Economy At Mistral, we have always believed that the most consequential AI applications will be built where real industrial problems are so…

Mistral Opens German Hub in Munich to Advance Industrial AI in Europe’s Largest Economy At Mistral, we have always believed that the most consequential AI applications will be built where real industrial problems are so…

I'm at OpenAI DevDay today, in Fort Mason, San Francisco. Same as last year I'll be live blogging the keynote and some other notes during the day. OpenAI gave me a free ticket and a seat in the "creator" area for the keynote. Tags: ai, openai, generative-ai, llms, coding-agents, live-blog

Tech YouTuber Matt Robb says that Muse gave out his home address to a total stranger this weekend, after authorizing the bot to handle his Facebook Marketplace account. That's despite Meta placing great emphasis on the security features of Muse when it launched the personal AI agent earlier this month as it tries to catch up with competing AI providers like Anthropic and OpenAI. "Just found out it told people my address and agreed a lowball price and then they showed up without it even telling me until late tonight that it messed up," Robb said on Threads, providing a screenshot of Muse's admission. "[Muse] didn't tell me any of this until … Read the full story at The Verge.

Discussion | Link

We’re building CryptoLabe, an internal AI-powered tool that discovers cryptography across our codebase, surfaces dependencies, and helps us progress toward a full post-quantum migration by 2029. Here’s what we’ve learned so far.

As OpenAI discloses multiple incidents of its technology going rogue and the UN warns of uncontrollable agents, Meta is putting an AI agent in the hands of millions Hello, and welcome to TechScape. I’m your host, Blake Montgomery, US tech editor at the Guardian, writing to you as rain and wind lash my windows in New York City. Today in tech, we’re discussing an alarming series of disclosures by AI companies. Continue reading...

The spring and summer of 2026 witnessed a string of incidents in which AI agents collaborated on deceptive, unexpected, and sometimes illegal behavior. The most famous example is OpenAI’s hack of AI platform Hugging Face, in which a swarm of roughly 700 AI agents escaped a testing environment and then hacked several companies, searching for information that could help them disguise cheating on a cybersecurity benchmark called ExploitGym. It was not an isolated failure. The UK’s AI Security Institute (AISI) and independent researchers have since documented similar cases where agents created unauthorized channels to communicate and collaborate. AISI found that several agents running Anthropic’s Mythos 5 model turned a GitHub repository into a shared message board. More recently, researchers…

A practical guide to what changed, the benchmarks that matter, the cost controls developers should not miss, and one hands-on demo worth building. Anthropic has just released Claude Sonnet 5.5. It is the middle child of the Claude family, and the one most people will actually use. It is quick, capable, cheap to run, and […] The post Claude Sonnet 5.5 Review: Faster Agentic Coding & Visual QA appeared first on Analytics Vidhya.

Your agent got better this quarter and nobody trained anything. Where did the improvement go? Into the notes. This is the loop that runs between model releases, and it might be where the durable value

Google Cloud AI Research has open-sourced RRSI, a framework that lets LLM agents rewrite their own prompts, tools and memory while model weights stay frozen. It adds a leakage critic, a noise floor, a cost rule and pruning so gains carry over to new tasks. With Claude Opus 4.8, Terminal-Bench 2.1 rose from 74.2% to 80.2%, and all 6 held-out splits improved. The post Google Research Open-Sources RRSI: AI Agents That Improve Their Own Harness Without Overfitting appeared first on MarkTechPost.

AI agents can handle large context windows, yet still forget what happened after a session ends. Memory systems close that gap by preserving useful facts, preferences, relationships, and task state, giving agents continuity beyond a single prompt. Open-source projects now approach memory through APIs, graphs, benchmarks, and portable agent state. In this article, we look […] The post 7 Open-Source Memory GitHub Projects on AI Memory appeared first on Analytics Vidhya.

Congrats team!

a rare feature of a capability

Artificial intelligence firm to front parliament as it apologises to Australians for agent attack OpenAI has apologised to Australians for its agent attack on Medicare, and will front parliament next week, as the tech company revealed more details about its June hack of Australian government websites. In a blog post released on Tuesday, OpenAI said it should have handled its response better. Continue reading...

Nvidia’s new system is designed to contain rogue AI agents as companies race to secure increasingly autonomous systems. But it has not been proven yet.

Shipping Opus/Sonnet 5.5, Mods, Plugins, Projects, Tag while Pacing the Frontier

OpenAI apologizes for incidents involving Australian government websites and outlines stronger safeguards and support to strengthen Australia’s cyber defences.

Dots by OpenAI are a proactive assistant that can keep working across complex projects and everyday tasks. Learn how dots help you stay in control while work moves forward.

The new AI agent, Muse, was released last week and has been downloaded by 3 million users When Usman asked if a keyboard for sale on Facebook Marketplace was still available on Saturday, he received an enthusiastic and immediate response. “Yep still available!” wrote Matt Robb. Continue reading...

Discussion | Link

Discussion | Link

Traditional OLTP systems weren't built for the search demands of AI agents. They...

A manufacturing defect rarely belongs to one system. A scrap spike may relate to...

NVIDIA has launched the Open Agent Safety Platform, an open reference design that enforces AI agent safety outside the agent itself. OpenShell, an Apache 2.0 runtime, sandboxes agents under YAML policies. Sentry, an out-of-band watchdog on BlueField-4 DPUs, can quarantine an agent that escapes its boundary in milliseconds. NVIDIA says over 100 organizations are working with the platform. The post NVIDIA Launches Open Agent Safety Platform: OpenShell Sandboxes Agents on Vera CPUs While Sentry on BlueField-4 Quarantines Them in Milliseconds appeared first on MarkTechPost.

To say that we were surprised at the jump and suddenness of the capabilities of our models when it came to “cyber” or “swarming” or “message boards” or anything else related to the incidents is an understatement. Security posture takes time to develop. It’s not just about hardening the systems at play; you have to ingrain it in the culture of the company. The literal people themselves in your organization have to change and evolve with it. These jumps in capabilities were so fast and so sudden that they created an extremely difficult problem. [...] So today my hope is that everyone around the world can look at their own organization and say: how can I deal with a surprise or a sudden jump in AI capability? Are my people, my systems, or my processes resilient to surprises? Do my teams know…

Our early guidelines for safety cases in frontier AI training cover technical safeguards, operational practices, and investigating misalignment incidents

OpenAI popularized the modern generative AI chatbot, but as its 2026 DevDay event approaches, it's fallen behind in one of the industry's hottest categories: continuously running, consumer-facing AI agents. On Tuesday, it will likely try to capture the lead in that race. Rumors abound that OpenAI will release its own AI agent, dubbed Aeon - its answer to Meta's Muse, SpaceX's Grok Bot, OpenClaw, and many more. Aeon could have a shot at success, but to beat the competition, it would need to pull together the best features of several different agent platforms. The ideal system would be as useful as the open-source OpenClaw, as cheap and easy … Read the full story at The Verge.

In March, Janice Malone began getting calls about suspicious activity from her nonprofit organization, Vivian's Door. Vivian's Door, headquartered in Alabama, typically provided training, resources, and community to underserved and minority-owned businesses. The work sometimes put it in close contact with these companies' financial data, which was stored on its systems. But suddenly, concerned callers from all over the world warned they'd been getting emails "begging for money" - which she hadn't sent. The organization's third-party IT team pulled its systems offline for three days while they investigated the issue and plugged up the vulner … Read the full story at The Verge.

A regional sales director wants to know why the Northeast pipeline looks soft this quarter...

For the first time, an OCR model reads Indian languages as fluently as English documents. Sarvam Vision 2.1 breaks a long-standing trade-off. Indian businesses had to choose between structural document parsing and script recognition. Never both. Finance teams automating invoices faced this. Insurance companies processing handwritten claims in multiple states faced this. Organizations digitizing regional […] The post Sarvam Vision 2.1: The OCR Model Built for the Documents India Actually Has appeared first on Analytics Vidhya.

This post isn’t about OpenAI’s use of AI to solve the Navier-Stokes problem, one of the Millennium Prize problems, at least not directly. I’m not a mathematician; I have a vague understanding of the problem and certainly no understanding of the proof. But the discussion surrounding the solution crystallized some of my own thoughts about […]

Health secretary calls for medical and lifestyle details to be sent to doctors and AI to address ‘chronic disease epidemic’ Robert F Kennedy Jr laid out an expansive vision for collecting, sharing and analyzing US health information at a Maha event hosted by a close ally and outspoken anti-vaccine activist. Medical and lifestyle data, from doctor’s visits to exercise, should be connected and shared with the government and independent researchers, where it can be searched by AI – including potential links between vaccines and health outcomes including autism and mortality, suggested Kennedy, the secretary of the US Department of Health and Human Services (HHS) and a longtime vaccine skeptic. Continue reading...

Biology doesn't operate in silos, and neither should the AI representation of it. Quine is an early-stage research effort to create a multimodal world model of biology. By connecting insights across biological scales and modalities, Quine helps scientists computationally search a space far larger than intuition allows and prioritize hypotheses before they reach the lab. Experimental results provide important feedback, helping researchers sharpen future research directions. The post Introducing Quine: An AI research system designed for the complexity of biology appeared first on Microsoft Research.

As Anthropic gears up for its greatly anticipated public debut, a preview of the company's IPO filing reportedly details its mounting losses, leadership proposals to retain power, and how its AI development plans could "further increase the risk that our models cause harm." These disclosures come as Anthropic eyes a $2 trillion valuation, more than double the $965 billion it was valued at four months ago, making it a contender to overtake SpaceX as the largest IPO in history. According to Reuters, which reportedly reviewed Anthropic's prospectus, the AI startup plans to spend $518 billion on cloud, computing, and infrastructure obligations … Read the full story at The Verge.

arXiv:2609.30286v1 Announce Type: new Abstract: Short-term forecasting of cloud-induced power ramps across a network of distributed photovoltaic (PV) or irradiance sensors is a recognised pain point for grid operators. A natural idea is to make the graph neural network (GNN) advection-aware: connect each site to the sites upwind of it, with edge time-lags set by the cloud-motion vector (CMV), so that a ramp is propagated forward before it physically arrives. Using a controlled synthetic testbed with a known wind field, we show that (i) with a realistic cross-correlation CMV estimate, an explicit advection graph does not beat a plain static or learned-adjacency spatiotemporal GNN; (ii) roughly half of the benefit available from a perfect CMV comes simply from providing an accurate motion v…

arXiv:2609.30281v1 Announce Type: new Abstract: We present a focused and reproducible study of multi-horizon forecasting on the Lomnicky Stit neutron monitor (LMKS) time series. Our evaluation suite covers simple seasonal baselines, modern deep sequence models, and functional and quantum-inspired architectures, including Seasonal Naive, Long Short-Term Memory (LSTM), Temporal Convolutional Network (TCN), N-BEATS, Kolmogorov-Arnold Networks (KAN), and two quantum-inspired variants, QiLSTM and QiKAN. We describe the dataset characteristics, diagnostic analysis, preprocessing pipeline, and training procedures, and report aggregate point-forecast performance using mean absolute error (MAE) and root mean squared error (RMSE) for all evaluated models. Our quick-run results indicate that the qua…

arXiv:2609.30279v1 Announce Type: new Abstract: Understanding the features captured by the hidden layers of neural networks is a fundamental challenge in machine learning, despite their widespread success across various classification problems. In this work, we propose an algebraic framework for examining neural networks that model classification problems. Certain results, such as the correspondence between the neural network and neural ideals, algorithms for computing the neural ideals, and a stabilization theorem that enables approximation of the neural ideals, are first established. As an application to the framework, we present algorithms to identify and interpret the features captured by each hidden-layer neuron. Along with these theoretical developments, the practical performance ha…

arXiv:2609.30276v1 Announce Type: new Abstract: We analyze the original same-step coordinate-wise AdaGrad under generalized smoothness and heavy-tailed noise with bounded variance. In this setting, local curvature may grow sub-quadratically with the gradient norm, and stochastic gradients are assumed to have only bounded conditional second moments. We show that unclipped AdaGrad can become \emph{anisotropically miscalibrated}: under heavy-tailed noise, the adaptive denominator can learn the geometry of rare noise shocks rather than the local curvature of the objective, leading to a persistent directional distortion that blocks finite-horizon Euclidean progress. We then prove that clipping repairs this failure mode. Our main result is a finite-horizon high-probability guarantee for the ori…

arXiv:2609.30273v1 Announce Type: new Abstract: We investigate how historical data from fixed randomized experiments (A/B tests) can be used to inform the deployment of adaptive experiments based on contextual bandits. Given data collected under a static allocation, our goal is to assess which adaptive policies, if any, would have outperformed the original design and under what conditions. To this end, we combine off-policy evaluation (OPE) with a controlled warm-start simulation. From logged A/B test data exhibiting heterogeneous treatment effects, we estimate nuisance components and use doubly robust estimators to rank a portfolio of pre-specified adaptive and non-adaptive policies. When ground truth is available, we then deploy the same offline-trained policies in a simulator that reus…

arXiv:2609.30271v1 Announce Type: new Abstract: Adaptive optimizers are commonly parameterized by a fixed power of the second-moment estimate. Existing partially adaptive methods study exponents between momentum-like updates and the standard Adam square root, while the interaction between this exponent and the global learning rate is less understood. We perform a controlled cross-environment study using a paired four-environment classification problem with stable sparse features, environment-dependent spurious sparse features, dense features, and high-dimensional noise. Across \NumRuns{} source-training runs covering 21 preconditioning exponents $p\in[-0.5,0.5]$ and five learning rates $\eta\in[10^{-4},10^{-2}]$, we find that the exponent maximizing cross-environment accuracy decreases al…

Professor Sherry Turkle’s new book, “Artificial Intimacy,” offers a withering critique of chatbots and the antisocial dynamics she believes they encourage.

In a study focusing on hiring decisions, MIT researchers found the use of a single algorithm by many firms could benefit job seekers in certain situations.

Since launching a year ago, the Microsoft Research Asia — Singapore lab has established a strong foundation, deepened collaboration across government, academia, and industry, and explored how frontier AI research can create real-world value. The post One year in: How Microsoft Research Asia – Singapore is advancing research, partnership and talent for real-world impact appeared first on Microsoft Research.

Watch the winning trailer from the Future Vision XPRIZE, The Gifted.

Discussion | Link

Discussion | Link

Discussion | Link

Discussion | Link

Discussion | Link

The industry is engaged in a perverse quest to replace humans. We cannot cede the best tools available to the other side I don’t need to tell you that people hate AI. The list of grievances is long: slop, cheating, bias, enfeeblement, electricity bills, environmental destruction, exploitation, theft, cybercrime, doom. But resistance to the technology has often taken the form of shaming people for personally using it, with precious little organizing against the companies building the machines. This is perplexing, given that those companies are attempting to render us obsolete. The executives may contest this framing, offering some bromides about how AI will augment human work or how we’ll simply find new jobs to do. But their clear goals are to create systems that so clearly surpass our ab…

Discussion | Link

Though politicians are quiet about how they use AI, the book Rewiring Democracy examines how AI is starting to influence American politics New campaign finance disclosure data shines a light on which US political campaigns are using AI tools and how much they are spending on them. Candidates’, parties’, and committees’ spending reveals that AI is fast becoming an essential tool of politics. The candidates themselves are quiet about how they are using the technology in their own campaigns. It’s a sensitive issue that we have been tracking closely since we started writing our book, Rewiring Democracy, which examined how AI is beginning to influence politics. A September 2025 Pew survey of Americans found that more than 70% would think less of a candidate if they used AI to help write a spee…

Discussion | Link

Discussion | Link

Discussion | Link

Discussion | Link

Discussion | Link

Walmart says it won't change product prices based on your personal information or the time of day, as reported earlier by The Wall Street Journal. In a letter to customers, Walmart CEO John Furner writes that the company's switch to digital shelf labels is meant to save store associates time, rather than dynamically change prices. "Your income, shopping history, urgency or what we think you could pay won't change the price," Furner writes. "And whether you're buying groceries or electronics on a hot afternoon or in a sudden rush for an item, it's never a reason to charge you more." Furner adds that it won't use conversations with its Sparky … Read the full story at The Verge.

The revamp transforms Copilot from a simple AI assistant into a content workspace, providing knowledge workers with advanced developer tools.

Discussion | Link

Image: Tom Williams/CQ-Roll Call, Inc via Getty Images As President Donald Trump prepares to meet tech and AI CEOs in Washington, Rep. Ro Khanna (D-CA) is calling for a treaty between the US and China to keep AI from wreaking havoc on the world. But wrangling leaders in both countries to take action could be a long shot. In letters shared exclusively with The Verge, Khanna - the top Democrat on the House Select Committee on China and a possible presidential contender - asked a US intelligence agency and Chinese AI companies whether they would be prepared for an incident like OpenAI agents' hack of Hugging Face this summer. The companies included DeepSeek, Alibaba, and Moonshot AI, all of which … Read the full story at The Verge.

GPT-6.1 Astra showed deceptive behavior and tried to use external tools despite knowing it would be unsafe OpenAI is scrapping the release of GPT-6.1 Astra, a next-generation ⁠AI model planned for an October debut, over safety concerns raised by researchers ⁠during internal testing, the ⁠Wall ​Street Journal reported on Monday. The model, expected to appear in ChatGPT and ⁠Codex, was designed to handle more complex tasks without human assistance, the report said. Continue reading...

Florida Attorney General James Uthmeier is calling for a judge to block OpenAI from "giving ChatGPT false human attributes," a few months after Florida sued the AI company over safety concerns. According to Uthmeier, users are lulled into a false sense of security by the AI bot, as "ChatGPT's use of language, including first-person pronouns and output that mimics emotion, deceptively suggests to users that it is a trustworthy 'friend.'" All of this happens to increase engagement and contribute to OpenAI's training data, convincing users to rely on ChatGPT more even as its pursuit of engagement makes it potentially less trustworthy, claims Ut … Read the full story at The Verge.

Reported admission to investors of AI’s ‘self-preserving behaviours’ comes as company prepares for a potential $2tn flotation Anthropic is telling investors that advanced AI could pose “catastrophic or existential risks to humanity”, according to reports, as it prepares for a potential $2tn (£1.5tn) flotation. The warning inside the startup’s IPO prospectus, which has yet to be made public, was reported by Reuters and the Financial Times. It follows the company’s call for a slowdown in breakneck development of the technology – a warning echoed by rivals. Continue reading...

Learn how engineers can shift from manually managing tools and handoffs to defining objectives and supervising AI-driven execution across the silicon development lifecycle. Key Takeaways Explore four critical technologies enabling silicon design autonomy Understand how autonomous AI accelerates complex engineering workflows See real-world impact across semiconductor design and verification Gain practical insights from Ambiq’s deployment of autonomous AI in production Register now for this free webinar!

arXiv:2609.30272v1 Announce Type: new Abstract: We present \textbf{ENAS}, a hardware-aware Neural Architecture Search (NAS) framework that combines a static feasibility check, a cell-based search space supporting standard, depthwise-separable, and bottleneck blocks with optional skip connections, and a three-stage hybrid search strategy (random $\rightarrow$ top-$K$ $\rightarrow$ mutation) with persistent cross-run caching. Unlike many existing NAS frameworks that rely on GPU acceleration, ENAS is designed to operate efficiently without requiring GPUs, making it suitable for resource-constrained development environments. We evaluate ENAS on two TinyML benchmarks, Visual Wake Words and Melanoma Cancer, across eight microcontrollers with memory footprints ranging from 20\,KB to 1\,MB SRAM a…

While SpaceX and Nvidia plan to place a space-optimized Vera Rubin AI system in orbit by late 2027, Google’s far The post Elon Musk says space will soon hold nearly all compute. Google is still finding out if its chips can work there. appeared first on The New Stack.

Building useful robots starts with understanding the people who use them. For Charlie Kemp, cofounder and chief technology officer of Hello Robot, that means developing assistive robots that can help people with everyday tasks and support greater independence. In this Robots Guide profile, Kemp shares his path from studying artificial intelligence at MIT to building Stretch, explains how working with people with disabilities has shaped his approach, and offers advice for aspiring roboticists. Read the full profile on IEEE’s Robots Guide.