Noticias

Article URL: https://dev.moe/en/3025 Comments URL: https://news.ycombinator.com/item?id=48920475 Points: 9 # Comments: 0

Article URL: https://smarterarticles.co.uk/the-three-second-theft-why-ai-voice-fraud-outruns-every-defence Comments URL: https://news.ycombinator.com/item?id=48920432 Points: 9 # Comments: 1

Article URL: https://www.ft.com/content/3a023b95-66c3-41e1-b0ce-df752a499541 Comments URL: https://news.ycombinator.com/item?id=48920181 Points: 60 # Comments: 11

Article URL: https://fromscratchcode.com/blog/what-for-x-in-y-hides-from-you/ Comments URL: https://news.ycombinator.com/item?id=48920156 Points: 5 # Comments: 0

Article URL: https://jiga.io/about-us/ Comments URL: https://news.ycombinator.com/item?id=48919510 Points: 0 # Comments: 0

Article URL: https://www.captchainbox.com Comments URL: https://news.ycombinator.com/item?id=48919489 Points: 4 # Comments: 0

Article URL: https://www.sevarg.net/2023/03/25/why-people-hate-tech/ Comments URL: https://news.ycombinator.com/item?id=48919242 Points: 9 # Comments: 4

Article URL: https://ramones.dev/posts/mental-health/ Comments URL: https://news.ycombinator.com/item?id=48919198 Points: 4 # Comments: 1

arXiv:2607.11959v1 Announce Type: new Abstract: Greenhouse reinforcement learning can test climate-control ideas at a speed and scale that is difficult to achieve with crop experiments alone. For smart-greenhouse control, however, a single simulator return is not enough: a grower or control engineer also needs to know when the policy heats, enriches CO2, vents, manages humidity, deploys screens, or uses lamps.We propose a reproducible calibration-first reward audit framework that keeps named gre

arXiv:2607.11888v1 Announce Type: new Abstract: We develop a rigorous theoretical framework for optimal market making in perpetual futures markets with zero maker fees. We model the market maker's problem as a stochastic optimal control problem on a filtered probability space, where the controls are adaptive bid-ask spreads and inventory hedging decisions across two exchanges. Our contributions include: (i) a PnL decomposition theorem separating revenue into spread income, adverse selection loss

arXiv:2607.11906v1 Announce Type: new Abstract: The development of decision-pretrained transformers, algorithm distillation, long-context meta-RL, and retrieval-augmented agents has renewed interest in in-context reinforcement learning (ICRL): the ability of a pretrained or fine-tuned decision model to infer latent task rules and improve future behavior from interaction context, without test-time parameter updates. This line of work asks when trial-and-error evidence, rewards, transitions, demon

arXiv:2607.11948v1 Announce Type: new Abstract: Regulated financial institutions operating under data-residency rules need tenant-owned language models that can run inside the institution's perimeter. This paper combines two related FAOS studies into one mechanism-and-control article. First, it reports a reduced-power proof-of-mechanism study of ontology-amplified distillation: a Qwen3.6-27B student is adapted to the Foundation AgenticOS ontology through supervised fine-tuning on frontier-teache

arXiv:2607.11951v1 Announce Type: new Abstract: Large language models can write SQL, but enterprise deployment demands more than plausible text: outputs must be syntactically valid, must respect per-role and per-schema policy, must carry provable (not best-effort) guarantees, must not slow down as generations grow, and must leave a compliance-grade record of every decision. We present GRID (Grammar-Railed Decoding), a grammar-constrained decoding engine that keys exact next-token masks on parser

Introducing Real World VoiceEQ: Measuring the human quality of voice AI

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Anthropic—currently the world’s most valuable AI company, with a nearly $1 trillion valuation—has a reputation for publishing strange and heady research. It’s looking into whether AI models can feel pain, for example,…

Profiling in PyTorch (Part 3): Attention is all you profile

Turn Raspberry Pi into a powerful AI assistant that can do anything on your computer and keep it safely contained. The post Set up OpenClaw on your Raspberry Pi appeared first on Raspberry Pi .

Today we are proud to announce the availability of TypeScript 7, a 10x faster native port of TypeScript! Since its early days, TypeScript has promised to deliver on JavaScript that scales. By bringing strong type-checking and rich tooling to the world of JavaScript, TypeScript made it possible to build non-trivial high-quality apps across platforms. Last […] The post Announcing TypeScript 7.0 appeared first on TypeScript .

Fuente externa para descubrir modelos, comparar licencias, revisar pesos abiertos y seguir repos que la comunidad puede usar en proyectos reales.

Portal oficial para consultar datos Sentinel y recursos de observación terrestre. Ideal para investigaciones abiertas como detección de incendios o cambios ambientales.

Fuente oficial para seguir novedades de TypeScript sin depender de rumores. Útil para equipos que mantienen proyectos grandes o enseñan buenas prácticas.

Recursos oficiales para prototipar con placas accesibles, cámaras, sensores y aceleradores. Buena base para cursos de robótica, visión e inferencia local.

Punto de partida para seguir publicaciones, debates y referencias sobre investigación reproducible, datos abiertos y colaboración científica.

Base de datos pública para revisar vulnerabilidades, paquetes afectados y versiones corregidas. Clave para comunidades que comparten código.

Native-speed vLLM transformers modeling backend

From Hugging Face to Amazon SageMaker Studio in one click

Mostly vibe-coded Apple Containers front-end that I'd like to use myself. But if others want to use it, here's the source code. Comments URL: https://news.ycombinator.com/item?id=48821848 Points: 19 # Comments: 1

Article URL: https://astro.build/blog/astro-7/ Comments URL: https://news.ycombinator.com/item?id=48821653 Points: 101 # Comments: 23

Article URL: https://ariya.io/2026/03/local-cpu-friendly-high-quality-tts-text-to-speech-with-kokoro/ Comments URL: https://news.ycombinator.com/item?id=48821576 Points: 49 # Comments: 12

Article URL: https://github.com/kklimuk/docx-cli Comments URL: https://news.ycombinator.com/item?id=48821500 Points: 18 # Comments: 7

Hugging Face Models on Foundry Managed Compute

With the rapid progress of AI capabilities and the move to agentic systems, organizations are expanding their use cases as the technology continues to grow. That constant evolution also introduces risk, leaving IT leaders to wonder which investments will prove valuable even six months into the future. Returning to the foundational elements of AI architecture—the…

Article URL: https://www.nwo.nl/nieuws/eerste-internationale-wetenschappers-via-het-tulp-fonds-naar-nederland Comments URL: https://news.ycombinator.com/item?id=48816003 Points: 3 # Comments: 0

Article URL: https://www.pcmag.com/news/a-hackers-arrest-reveals-microsoft-can-track-users-via-a-windows-device Comments URL: https://news.ycombinator.com/item?id=48815196 Points: 115 # Comments: 48

My Downloads folder had been left unkept for a really long time and cleaning it up using Finder was quite cumbersome. So I started creating a simple app to help me filter out and delete or move the files in the folder. It started out very basic and the filtering options genuinely helped me clean out the Downloads folder, then as I thought of more features I would like to see in a file manager I started to add them. Some of the features are: - Fuzzy go to folder/file where you only need to write

arXiv:2607.02807v1 Announce Type: new Abstract: Long-running coding agents such as autoresearch can persistently discover optimizations for open-ended problems. However, they tend to converge onto a single high-level approach, then proceed with low-level edits while missing other superior approaches to the problem. We hypothesize two harness-level design choices contribute to this behavior: accumulating context in a single long-running agent and only exposing a single program state to edit. We i

arXiv:2607.02686v1 Announce Type: new Abstract: Reinforcement learning agents operating under partial observability must act on incomplete information, making them natural candidates for guidance from small language models (SLMs) that carry broad reasoning priors. Yet integrating SLM guidance into this setting has proven difficult: across all test environments, vanilla uncertainty-gated approaches achieve an overwrite rate at or near zero, meaning the SLM almost never contributes an independent

arXiv:2607.02846v1 Announce Type: new Abstract: Large language model (LLM) agents can improve through accumulated experience, but free-form textual memories become difficult to maintain, validate, and reuse as interactions grow. Recent symbolic approaches learn executable skills or programmatic world models, yet often store local procedures or assume simplified dynamics. We propose Object-Centric Environment Modeling (OCM), which organizes experience into an executable object-centric environment

arXiv:2607.02672v1 Announce Type: new Abstract: Local pairwise comparisons are a standard tool for learning how people want decision rules to work, e.g., in participatory design or alignment. However, their use builds in two strong assumptions: that local comparisons are sufficient evidence about how a person wants an automated decision rule to behave, and that people can always answer those comparisons decisively. We investigate how these assumptions may be compromised under internal pluralism:

arXiv:2607.02771v1 Announce Type: new Abstract: Leadership computing facilities steward large-scale scientific datasets that routinely require substantial transformation before serving as AI training data. However, no existing framework fully unifies automated transformation, readiness assessment, provenance tracking, and agent-native deployment. We present REDI, an open-source framework that addresses this gap through a unified five-stage pipeline (ingest, preprocess, transform, structure, and

Run AI workloads on any cloud, store on Hugging Face: zero-egress storage with SkyPilot

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. OpenAI CEO Sam Altman’s oft-discussed promise that Americans will share in the wealth AI creates was in the news again last week. On Thursday, the Financial Times reported that Altman is in…

PRX Part 4: Our Data Strategy

Make your own star-saving sidekick with Raspberry Pi, Claude AI, and a tonne of servos. The post AI Rocky from ‘Project Hail Mary’ appeared first on Raspberry Pi .

Article URL: https://www.designboom.com/technology/autonomous-flying-umbrella-follows-users-rain-sunlight-i-build-stuff-01-13-2026/ Comments URL: https://news.ycombinator.com/item?id=48795174 Points: 17 # Comments: 11

Article URL: https://github.com/christopherkarani/Espresso Comments URL: https://news.ycombinator.com/item?id=48794803 Points: 5 # Comments: 0