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arXiv:2510.16031v2 Announce Type: replace-cross Abstract: Machine learning-based precipitation nowcasting relies on high-fidelity radar reflectivity sequences to model the short-term evolution of convective storms. However, the development of models capable of predicting extreme weather has been constrained by the coarse resolution (1-2 km) of existing public radar datasets, such as SEVIR, HKO-7, and GridRad-Severe, which smooth the fine-scale structures essential for accurate forecasting. To ad

arXiv:2512.07541v3 Announce Type: replace-cross Abstract: Inspired by graph-based methodologies, we introduce a novel graph-spanning algorithm designed to identify changes in both offline and online data across low to high dimensions. This versatile approach is applicable to Euclidean and graph-structured data with unknown distributions, while maintaining control over error probabilities. Theoretically, we demonstrate that the algorithm achieves high detection power when the magnitude of the cha

arXiv:2512.10485v2 Announce Type: replace-cross Abstract: Vulnerability detection methods based on deep learning (DL) have shown strong performance on benchmark datasets, yet their real-world effectiveness remains underexplored. Recent work suggests that both graph neural network (GNN)-based and transformer-based models, including large language models (LLMs), yield promising results when evaluated on curated benchmark datasets. These datasets are typically characterized by consistent data distr

arXiv:2601.01095v3 Announce Type: replace-cross Abstract: Multimodal large language models (MLLMs) have achieved impressive progress in vision-language reasoning, yet their ability to understand temporally unfolding narratives in videos remains underexplored. True narrative understanding requires grounding who is doing what, when, and where, maintaining coherent entity representations across dynamic visual and temporal contexts. We introduce NarrativeTrack, the first benchmark to evaluate narrat

arXiv:2602.23561v2 Announce Type: replace-cross Abstract: Symbolic regression (SR) has gained recent traction in AI-driven scientific discovery for learning closed-form physical laws. Yet existing methods are dominated by heuristic search or data-intensive approaches that often assume low-noise regimes and lack principled uncertainty quantification, while fully probabilistic SR formulations remain scarce. We introduce a scalable probabilistic framework for SR, VaSST, based on variational inferen

arXiv:2603.09046v3 Announce Type: replace-cross Abstract: Device-side Large Language Models (LLMs) have witnessed explosive growth, offering higher privacy and availability compared to cloud-side LLMs. During LLM inference, both model weights and user data are valuable, and attackers may even compromise the OS kernel to steal them. ARM TrustZone is the de facto hardware-based isolation technology on mobile devices, used to protect sensitive applications from a compromised OS. However, protecting

arXiv:2603.24016v2 Announce Type: replace-cross Abstract: Multi-Object Tracking (MOT) has traditionally focused on a few specific categories, restricting its applicability to real-world scenarios involving diverse objects. Open-Vocabulary Multi-Object Tracking (OVMOT) addresses this by enabling tracking of arbitrary categories, including novel objects unseen during training. However, current progress is constrained by two challenges: the lack of continuously annotated video data for training, an

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I see sandboxes are getting cool and common. But I wanted to do so for free and with a local focus. I've been a one person operation lately so cloud based repos seemed a bit overkill and the surface is small enough that it was a fun experiment. If you have any thoughts let me know :) Comments URL: https://news.ycombinator.com/item?id=48770421 Points: 2 # Comments: 0

Imagent gives AI agents the ability to generate images, video, and speech as a first-class step in their workflows, behind a single interface that hides the differences between providers and models Comments URL: https://news.ycombinator.com/item?id=48770383 Points: 3 # Comments: 0

Working with a customer to implement RevTurbine (revturbine.com). We are implementing a reverse trial which is triggered by the key onboarding action (connecting the user's trading account), i.e. used as an incentive to complete it. The trial is on a separate non-public tier (subset of lowest paid plan features) which provides great flexibility: play with limits to control AI costs, segment however you like (higher limits for stronger prospects), etc - which is all in line with the customer prom

Here are my biggest gripes with AI coding assistants right now: Obsessed with reinventing the wheel. You'll often find it writing three duplicate functions for the exact same feature in a single file. Why? Because it's terrified of blowing up the context window, so it only reads a fraction of a large file and completely misses the existing functionality. Why are files so bloated in the first place? Because AI prefers adding new code over modifying existing code, and it rarely deletes anything. A

Article URL: https://praxiscurrents.substack.com/p/moneyball-for-physical-ai Comments URL: https://news.ycombinator.com/item?id=48770157 Points: 2 # Comments: 0

Article URL: https://github.com/lotus-data/lotus Comments URL: https://news.ycombinator.com/item?id=48770058 Points: 3 # Comments: 0

<p>Powered by chipmakers Samsung Electronics and SK Hynix, South Korea is seeing a surge in wealth, but there are questions over who gets to share in the profits</p><p>When South Korea’s most high-profile divorce case returned to court last month, the lawyers were arguing not just about the breakdown of a relationship, but also the exact date at which to value shares in one specific company.</p><p>The judges’ decision in Seoul could change the value of business tycoon Chey Tae-won’s assets by bi

Workers who use OG crowdsourcing platform say AWS is closing accounts

Then what? What do you plan to do? The strategy is the "Everyone becomes Levels-io". The takeaway is "marketing games is big now, the only thing." 2026 was always giong to be my Year of Marketing, as BrowserBox reached stability last year and it's bascially: small edges, maintenance, minor updates, customer deployments and customer tweaks. But I have so many product ideas. I am just cranking them out. If you check my GH activity, even before AI I was always "cranking them out" - just, less capab

<p>Follow the day’s latest updates</p><ul><li><p>Get our <a href="https://www.theguardian.com/email-newsletters?CMP=cvau_sfl">breaking news email</a>, <a href="https://app.adjust.com/w4u7jx3">free app</a> or <a href="https://www.theguardian.com/australia-news/series/full-story?CMP=cvau_sfl">daily news podcast</a></p></li></ul><p>A teenager has been charged with murder after a 15-year-old boy was discovered with fatal stab wounds outside a community medical centre.</p><p>AAP reports the boy was f

<p>I use a lot of little web tools. A JSON formatter here, a cron parser there, a "cm to inches" when I am reading a spec written by someone on the other side of the planet. And every single time, the same friction: the first result is buried in ads, a cookie wall pops up, and half of them want me to sign in just to format some text.</p> <p>So I built the thing I actually wanted: <a href="https://yourhack.ai" rel="noopener noreferrer">yourhack.ai</a>, a directory of 300+ free web tools. No ads.

Article URL: https://www.youtube.com/watch?v=JXJf7vL8k94 Comments URL: https://news.ycombinator.com/item?id=48769755 Points: 2 # Comments: 1

<p>The mistake with coding agents is treating them like a single chat window.</p> <p>You paste a task. The agent writes a patch. You check it. Something is missing. You paste another task. Then another. Then CI fails. Then review comments come in. Then you realize you are still the project manager, the QA loop, the scheduler, and the person remembering what every thread was supposed to do.</p> <p>The better workflow is to make one Codex thread responsible for orchestration.</p> <p>Not just the c

Article URL: https://www.bbc.com/news/articles/cj6gr0xkyr3o Comments URL: https://news.ycombinator.com/item?id=48769696 Points: 23 # Comments: 14

I tried to code a systems language called Tig https://github.com/alonsovm44/tc-lang It is cool and it taught me a lot of CS and programing topics, but i ran out of tokens and since i have no monery for cascade code, the project stagnated. I was ashamed of myself so i turned to good old man programs, tutorials in youtube and i tried writing a lexer for a calculator in raw C. And so far i've been successful. Moral of the story: Dont depend on AI, learn to code by yourself. It will take longer, it

Article URL: https://steenbok.space/blog/ai-etiquette/ Comments URL: https://news.ycombinator.com/item?id=48769662 Points: 2 # Comments: 0

Article URL: https://www.youtube.com/watch?v=cfaZZPjA3g0 Comments URL: https://news.ycombinator.com/item?id=48769645 Points: 2 # Comments: 0

Comments URL: https://news.ycombinator.com/item?id=48769635 Points: 4 # Comments: 0

<p>A potential deal with the government would allow international tech companies to mine the creative work of Australian musicians. Some of the prime minister’s favourite artists told the Guardian how they feel about it</p><ul><li><p><a href="https://www.theguardian.com/australia-news/2026/jul/01/australia-ai-copyright-laws-creatives-sound-alarm-albanese-government-datacentres">Creatives sound alarm on copyright as Pocock calls $50bn datacentre proposal ‘ultimate dirty deal’</a></p></li></ul><p>

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Article URL: https://openllmstack.com/blog/open-source-llm-statistics/ Comments URL: https://news.ycombinator.com/item?id=48769528 Points: 2 # Comments: 0

<p>I built an AI-powered daily ritual app called Wishyze (<a href="https://wishyze.com" rel="noopener noreferrer">wishyze.com</a>). I watched 28,547 users try to change their lives, and what I learned surprised me.</p> <h2> The Streak Obsession </h2> <p>Every habit tracker worships at the altar of the streak: Duolingo, Streaks, GitHub. Wishyze has a 93-day longest-streak leaderboard too. Streaks create momentum, but data revealed an uncomfortable truth:</p> <p><strong>73% of users who quit do no

<p>I've been playing with a small browser-side prototype that tries to answer a boring but increasingly important question:<br> Where did this piece of web content come from?<br> Not “is this AI-generated?” I think that question is already getting messy. Detectors can be useful sometimes, but I would not build trust on top of them alone.<br> The simpler question is: When was this page first seen? Who saw it?<br> Did it change? Can we still replay what was captured?</p> <p>While building this, I

<p>A 429 error is easy to misread.</p> <p>The first instinct is often:</p> <p>"The provider is unstable."</p> <p>Sometimes that is true. But in OpenAI-compatible API systems, a 429 can also come from a much more local problem:</p> <ul> <li>too many concurrent requests;</li> <li>retries firing too aggressively;</li> <li>an agent loop making more calls than expected;</li> <li>fallback models multiplying traffic;</li> <li>one shared key serving several environments;</li> <li>a batch job and product

<p>Yes. Below are two implementations of the same task: <strong>an agent applies a fix to a file, runs tests, commits the result or rolls back</strong>. The first version follows a typical imperative style. The second is structured through the A11 lens. In the second version's code, I have explicitly marked locations that characterize structural resilience. These markers do not affect code execution; they are architectural annotations demonstrating <em>where exactly</em> the framework holds the

<h1> Ringkasan Tren GitHub Minggu Ini: Efisiensi Kode, OCR Jangka Panjang, dan Evolusi Agen AI </h1> <p>Minggu ini, papan tren GitHub mencerminkan pergeseran paradigma yang menarik dalam pengembangan perangkat lunak modern. Fokus utama bukan lagi sekadar menciptakan fungsi baru, tetapi mengoptimalkan <em>effort</em> pengembang. Dari alat yang secara agresif mengurangi baris kode hingga sistem OCR yang mampu menangani dokumen beresolusi tinggi tanpa batas, tren mingguan ini menyoroti tiga tema be

Article URL: https://www.wsj.com/tech/ai/the-worlds-top-economists-are-sounding-the-alarm-on-ai-d99055b6 Comments URL: https://news.ycombinator.com/item?id=48769316 Points: 4 # Comments: 2

Article URL: https://arxiv.org/abs/2606.29657 Comments URL: https://news.ycombinator.com/item?id=48769266 Points: 2 # Comments: 0

Article URL: https://charitydotwtf.substack.com/p/in-defense-of-ai-mandates Comments URL: https://news.ycombinator.com/item?id=48769250 Points: 2 # Comments: 0

Article URL: https://www.youtube.com/watch?v=QQC6V8T8ry4 Comments URL: https://news.ycombinator.com/item?id=48769238 Points: 1 # Comments: 0

Two-thirds of enterprises have hedged their AI model strategy, and the past few weeks of controversy around Anthropic’s Claude Fable 5 model showed why that posture has gone mainstream. On June 12, a U.S. export-control order pulled Anthropic's Claude Fable 5 — the most capable model on the market — offline for every customer, with no warning and no timeline. It returned this week wrapped in tighter safeguards , after China's Z.ai released its open-weights GLM-5.2 into the vacuum . New VentureBe