0 selected stories for 2026-10-03, grouped by topic.
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Kakul Srivastava is the CEO of Splice, the sample platform countless producers rely on for one-shots and melodic loops. Samples pulled from the service have found their way into massive hits like Lisa's "Money" and "Espresso" by Sabrina Carpenter. (The original samples are here and here, for the curious.) Before that, Kakul held executive roles at Flickr, Yahoo, GitHub, and Adobe. Throughout her career, Kakul has found herself at the intersection of Silicon Valley and creatives. That's been especially true at Splice, where she's not just expanded the platform's footprint by acquiring Spitfire Audio, but also overseen its forays into the wor … Read the full story at The Verge.
Nothing is guaranteed but there are ways to boost your chances of experiencing such in-demand events Rupert Jones Whether your passion is the battle of the bands or the Battle of Hastings, Britain’s hottest cultural tickets are about to go on sale. And to be in with a shout of getting one, there are insider tips to get a good spot in the queue. Continue reading...
Melbourne Theatre Company While the cast is excellent, a play that sends us back to artificial intelligence’s genesis moment should feel more human than this It can be fiendishly difficult to write plays about contemporary obsessions, not least because they can shift and mutate in the time it takes to mount a production. A clever solution is to set your work at the point in history where said obsession began; that way you can still create resonant theatre within more stable boundaries. Eliza, Australian playwright Tom Holloway’s new play for MTC, cleaves to this formula, focusing on the German-American computer scientist Joseph Weizenbaum and the firstlings of AI. Weizenbaum (Dan Spielman) is working at MIT in 1966 with colleague Ron (Hamish Michael) and secretary Becky (Manali Datar) whe…
Museum: Rex's Dino Store Located just before the turnstiles in the Grand Army Plaza subway station at the north end of Brooklyn's Prospect Park is this former newsstand which is now operated by a dinosaur. The density of dinosaur puns is exceptional. Tags: art, new-york
Greg Lui allegedly used false paperwork to smuggle export-controlled gear from US to third countries and then China US authorities have arrested a man accused of smuggling more than $300m worth of computer servers to China, the Department of Justice announced. Greg Lui, 38, of California, also known as “Yiu Kong Lui”, allegedly used false paperwork and shipments through third countries to smuggle the export-controlled computer servers to China, the justice department said in a statement on Thursday. Continue reading...
In a throwback to MySpace-style internet drama, Shivon Zilis announced that she and the father of four of her children, Elon Musk, had broken up on X. To do so, she quote-tweeted a post from "Big Tech Alert," an account that, among other things, monitors what accounts are following and unfollowing each other. That post noted Musk was no longer following her on X. It was also sponsored by Kalshi, because everything in this relationship is totally fucking cursed, dude. In her statement, Zilis wrote, "It's hard to go from in love to let go in a week with no warning, but that's just how it is sometimes." "Uh, you know." Zilis, in addition t … Read the full story at The Verge.
David Robinson used to write the safety reports that accompanied every major model release at OpenAI. This week, he resigned from his position and is now speaking out in an editorial in The Atlantic. It's understandable if you're feeling a bit cynical about everyone suddenly coming out of the woodwork to warn about how dangerous the thing they helped build is. They did, after all, make this mess. But that doesn't mean we should discount their warnings. Robinson says that the culture in industry is fundamentally broken. That this is a deeper issue than simply slapping a few new rules or regulations on how we handle training models. Silicon … Read the full story at The Verge.
The state, which is home to many AI companies, is one of the first to roll out workplace regulations targeting the technology California’s laws aimed at protecting workers from the impacts of artificial intelligence could pave the way for broader workplace safeguards across the US as calls for regulating the technology mount. As the federal government goes hands-off on AI, California is taking the reins to address workers’ biggest fears. On Thursday, California governor Gavin Newsom signed a suite of new laws that ban bosses from relying entirely on AI to decide whether to fire workers, using it to predict employees’ emotional states or collecting neural data, meaning the information from electrical signals of someone’s brain or nerves. They also require companies to notify workers if lay…
Company says it is reviewing 50 petabytes of data after its agents accessed websites including Medicare without authorisation Get our breaking news email, free app or daily news podcast OpenAI says its review in response to the Medicare and Hugging Face agent attacks is costing the company more than US$500,000 per day, as it deploys AI to examine data that would take a human 66m years to read. The company has warned the review is ongoing, and more organisations may be informed they’ve been targeted in the near future. Continue reading...
arXiv:2610.00009v1 Announce Type: new Abstract: Frequency-collapse attention [Zeris, 2026e] achieves large gains over standard dot-product attention by replacing the Q/K dot product with a bandpass-filtered inner product at a learned frequency. A natural follow-up question is: which filter shape works best, and why? We test five hypotheses about filter properties -- DC suppression, Nyquist suppression, bandwidth, centre frequency, and multi-scale coverage -- using a controlled ablation on character-level language modelling (TinyShakespeare, 6-layer GPT). Our main findings are: (1) DC and Nyquist components are actively harmful (val ~= 2.0, equivalent to phase randomisation), confirming that oscillatory bandpass structure is essential, not just any low-dimensional spectral summary; (2) the…
A Princeton researcher found that publicly available election records could be combined with AI to link voters to their ballots When voters cast their ballots, their votes are supposed to remain secret: from their family, their neighbors, and the government. But what if artificial evidence could make secret votes visible? Continue reading...
Artificial intelligence has changed almost every aspect of software development and cybersecurity. But perhaps one of the most profound changes The post AI is speeding up exploits. Vulnerability spreadsheets can’t keep up. appeared first on The New Stack.
TL;DR: Meta’s Muse, OpenAI’s Dots and Uber’s driver assistant share one bet: the agent speaks first. That moves the hard problem from what to answer to when to interrupt, on which channel, and with what offer. Classic ML and new decision models can solve it. Three launches, one pattern From pull to push Chatbots were […] The post Meta, OpenAI and Uber Just Taught AI Agents to Talk First. What About When to Stay Quiet? appeared first on MarkTechPost.
IBM has made a self-hosted deployment of IBM Bob, its agentic software development platform, generally available. Enterprises can now run Bob on premises, in private or sovereign clouds, and in air-gapped networks. They bring their own model: NVIDIA Nemotron or Poolside Laguna for full isolation, or Claude, Gemini or GPT models through hybrid setups. Optional Premium Packages extend Bob to Java, IBM i and IBM Z modernization. The post IBM Brings Bob to Self-Hosted and Air-Gapped Environments: Agentic Software Development Without Moving Your Code appeared first on MarkTechPost.
Microsoft AI has released MAI-Transcribe-2-Streaming, its first real-time speech-to-text model. It ranks #1 of 38 models on Artificial Analysis AA-WER Streaming. It scores 2.5% WER at 0.13s on final transcripts and 2.5% at 0.12s on first partials. It covers 60 languages with continuous language detection and costs $0.54 per hour during the introductory period. It is available now in public preview on Microsoft Foundry. The post Microsoft AI Releases MAI-Transcribe-2-Streaming: #1 Real-Time Speech-to-Text Model on Artificial Analysis appeared first on MarkTechPost.
arXiv:2610.00094v1 Announce Type: new Abstract: Belief-based agent memory needs reliable decisions about current state, yet its evidence may be noisy, copied, or stale. Must a memory calibrate its sources before it can improve its decisions? We separate learning, calibration, and revision certification. On one four-model hidden Markov family, learning an unknown Bayes decision requires Theta(l^-2) records and certifying its improvement over an informative incumbent takes O(l^-2) fresh records from the same observation law, while fixed-precision source estimation requires Theta(l^-4) as persistence l vanishes. Thus learning and certifying useful decisions can require quadratically fewer records than source calibration. A broader model class retains the decision rate and source lower bound.…
arXiv:2610.00035v1 Announce Type: new Abstract: Predicting student performance from educational interaction data requires models that are both accurate and sufficiently transparent to support meaningful intervention, while demographic information introduces an additional risk of unfair predictions. This study investigates a multi-objective framework that combines reinforcement learning-based multiple instance learning (RL-MIL), adversarial debiasing, and preference-conditioned hypernetworks for student-at-risk prediction. MIL represents each student as a bag of weakly labeled interactions, while an RL agent selects informative instances for downstream classification. Two hypernetwork variants are evaluated to determine whether a user-defined preference scalar can continuously control the…
Meta now lets you make your own Muse gadgets that feature the company's new AI agent with code that the company open sourced. The company suggests projects like loading Muse on a color E Ink display to show reminders, adding it to an HDMI stick so you can display Muse on a big screen, or putting Muse on a small touchscreen device to make what looks kind of like a DIY Muse Charm. "Muse gadgets are open source devices you build yourself," Meta says. "Program an off-the-shelf ESP32 board or set up a Raspberry Pi with our SDKs, then connect Muse to your displays, buttons, sensors, actuators, and whatever else you've got lying on your workbench. … Read the full story at The Verge.
Apple will add new limits for "full disk access" on Mac in response to risks posed by AI agents, as reported earlier by TechCrunch. In an update on Friday, Apple says it's rolling out new controls to "ensure that users who genuinely wish to grant an app this extraordinary level of access can only do so with very explicit user action." The change comes just weeks after Inc's Jason Aten found that Meta's Muse AI somehow knew the contents of his messages, despite not giving the chatbot explicit permission to access them on his iPhone or Mac. Meta spokesperson Andy Stone pushed back on this report, saying access to Messages is "entirely opt-in. … Read the full story at The Verge.
New helpful little guy just dropped. | Photo: Allison Johnson / The Verge It's a tale as old as last week: OpenAI's new agent platform, called Dots, is full of cute little guys who can do your bidding. But unlike the ultra-approachable Meta Muse, Dots feel very much like using workplace software that happens to be able to order you a burrito - emphasis on work. OpenAI announced Dots earlier this week. Like Muse, Dots have blobby, anthropomorphic avatars and customizable names. In the future, OpenAI says you'll be able to have multiple Dots, but right now you get one. I named mine Dotty McDotface. The interface looks similar to Muse's; you chat with the agent in one window and follow its work in another as it … Read the full story at The Verge.
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
Anthropic invests $100 million to train 10,000 engineers and tackle the enterprise AI talent gap Oct 2, 2026 Learn more The first-of-its-kind Academy trains Frontier Deployed Engineers using the same standard of skills…
(Belated post :/ ) Anthropic releases Opus 5.5 with lower prices and Fable-level performance, OpenAI launches GPT-6 Sol and Luna, boasting lower cost and fewer mistakes
Prime Intellect has launched Prime Inference, an OpenAI-compatible platform for serving frontier open models on NVIDIA Blackwell. Its GLM-5.3 deployment uses Dynamo, vLLM and NVFP4 KV compression to serve 66 sessions per prefill group at 101 tok/s per user. The post Prime Intellect Launches Prime Inference: Serverless and Reserved Serving for Frontier Open Models appeared first on MarkTechPost.
arXiv:2610.00083v1 Announce Type: new Abstract: Humans express uncertainty verbally via markers (e.g., "possible," "likely"), yet most LLM uncertainty quantification (UQ) relies on costing likelihood- or consistency-based signals. From a cognitive perspective, accurate verbal uncertainty reflects metacognitive monitoring, representing knowledge boundaries ("knowing that you don't know") to support regulation and information seeking. In this paper, we investigate how LLMs diverge from humans in verbal uncertainty quantification and whether verbal markers can reliably quantify LLM uncertainty. We curate a corpus of human uncertainty markers from psychology and decision-science literature and benchmark LLMs against it. We observe that LLMs encode verbal uncertainty with numerical levels that…
arXiv:2610.00053v1 Announce Type: new Abstract: Four-bit floating-point (FP4) Tensor Cores accelerate matrix multiplication, but scale computation, operand packing, layout construction, and saved backward state can erase the gain. We present \emph{format-aware fusion}, which co-designs each quantization producer with its scale domain and consumer layout for native \mxfp{}, global \nvfp{}, and cooperative-thread-array-local \nvfp{}. We evaluate Llama-3-family 8B pretraining through 160 billion tokens using bfloat16 output projections and compiled cross entropy. In matched same-accelerator probes, bfloat16 and Transformer Engine \nvfp{} reach 18.8K and 27.6K tokens/s/GPU, while our fastest custom route reaches 37.9K. \mxfp{} with row-gradient stochastic rounding and fixed-sign 32-value Hada…
arXiv:2610.00049v1 Announce Type: new Abstract: Graphics processing unit (GPU) generations scale matrix, special-function, and memory pipelines at different rates, so kernel bottlenecks move as hardware evolves. FlashAttention-4 exposed this imbalance inside attention on NVIDIA Blackwell. We test whether short polynomial programs can accelerate other special-function-unit (SFU) operations in large language models (LLMs). We first compare native PyTorch evaluation with packed fused multiply--add (FMA) programs in an isolated IEEE binary16 (FP16) sweep spanning L2-resident and high-bandwidth-memory (HBM)-resident working sets. We then replace native sigmoid, tanh, and sigmoid linear unit (SiLU) with degree-3 or degree-4 bfloat16 (BF16) programs in four GB200 integration tasks: dense SiLU, t…
Decision AI models answer typed questions with calibrated probabilities instead of generated text. TypeSafe's Jev costs $0.042 per million input tokens and returns responses in 70 to 500 milliseconds. We break down how it works and its benchmarks, then compare it with Fastino's GLiDE, GLiNER2.5-Decide and 4 open-source rivals. The post Decision AI Models Explained: TypeSafe Jev vs Fastino GLiDE, GLiNER2.5-Decide and Open-Source Competitors appeared first on MarkTechPost.
NVIDIA announced a new 64GB configuration of DGX Spark — from Acer, ASUS, Dell, Gigabyte, HP and MSI — its GB10-powered desktop AI system. It gives developers a way to start with one system for local models and agents, then cluster two 64GB units for 128GB of memory across the cluster and more compute when […] The post NVIDIA Announces DGX Spark 64GB: A 1-PetaFLOP Grace Blackwell Desktop for Local AI Agents, Fine-Tuning, and Inference appeared first on MarkTechPost.
Model performance Agentic inference optimization: 50-90% faster engines Claude Code with Fable 5 built a Qwen 3.6 inference engine that beat vLLM by up to 90% on decode speed and 2.3x on TTFT, using MetaInfer skills on…
Research How we built the fastest GLM-5 on Artificial Analysis We achieved 200+ tokens per second on GLM-5. Authors Madison Kanna Tri Dao Philip Kiely Last updated October 2, 2026 Share TL;DR Using our low-overhead spec…
arXiv:2610.00095v1 Announce Type: new Abstract: Tutoring systems use mastery thresholds to decide when students can stop practicing and advance, but the same numerical threshold can lead to very different decisions when the underlying knowledge tracing (KT) model changes. We examine six KT models across four public educational datasets and evaluate 12 thresholds from 0.50 to 0.99 using post-advancement performance, advancement coverage, practice burden, and disparities across prior-performance groups. We also identify thresholds that balance performance, extra practice, and advancement under 30 predefined instructional settings. Bayesian Knowledge Tracing (BKT) is relatively insensitive to threshold changes, while neural models become much more selective as thresholds increase. This partl…
arXiv:2610.00050v1 Announce Type: new Abstract: Kolmogorov-Arnold Networks (KANs) represent a paradigmatic shift in deep learning by replacing fixed node activations with learnable univariate functions on edges, offering enhanced interpretability and parameter efficiency. While recent polynomial-based KAN variants have addressed the computational overhead of original B-spline implementations, they introduce a fundamental yet underexplored challenge: the domain mismatch between unbounded real-valued inputs and the bounded or semi-infinite support of orthogonal polynomial bases. To address this limitation, we propose the Stieltjes-Wigert Kolmogorov-Arnold Network (SW-KAN), a novel architecture that employs Stieltjes-Wigert q-orthogonal polynomials defined on the semi-infinite domain (0, inf…
arXiv:2610.00004v1 Announce Type: new Abstract: Adam is the standard optimizer in deep learning, yet its geometric relationship to natural gradient descent (NGD) contains unresolved questions. We study Adam's full update rule, including momentum, as a diagonal empirical Fisher approximation subject to diagonal truncation, empirical label substitution, and temporal lag. Using the scale-invariant $\gamma(\Delta\theta)$ metric, we measure Adam's geometric deviation from true NGD across four loss landscapes: well-conditioned linear regression, ill-conditioned linear regression, logistic regression, and a non-convex small neural network. Adam's geometric trajectory is context-dependent. Deviation remains low in well-conditioned settings but rises significantly under ill-conditioning, reaching…
arXiv:2610.00002v1 Announce Type: new Abstract: We introduce reverse Item Response Theory (IRT) to pharmacogenomic drug-response analysis by treating cancer types as latent "subjects" with resistance ability and drugs as "items" with evasion difficulty. Applied to 242,036 drug sensitivity measurements from the Genomics of Drug Sensitivity in Cancer (GDSC2) database, the model estimates cancer-type-level in-vitro resistance and drug-level broad activity on a shared latent scale. Validation across four missingness regimes demonstrates that reverse IRT better recovers the full-data latent ranking than simple averaging, with advantages of Delta-rho = +0.089 to +0.095 at 60% missingness under MCAR, cancer-biased, and drug-biased sparsity. Held-out prediction confirms IRT achieves the best Brie…