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Panicked travelers hear a new message from airports: Don’t get here so early AP News

The AI Doc: Or How I Became an Apocaloptimist seeks the middle ground on a polarizing technology—and ends up letting tech execs like Sam Altman off the hook.

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As the tech giant turns 50, WIRED spoke to executives about how they plan to win in the AI era.

Massive new data centers are the physical foundation for tech companies’ hopes and dreams for AI. But the rush to expand warehouses full of energy-hungry servers has also kicked up fights across the world over their impact on power grids, utility bills, nearby communities, and the environment. From audacious plans to launch data centers into space to the latest legal battles over pollution, The Verge has the biggest news and reporting surrounding data centers. Senators are pushing to find out how much electricity data centers actually use How the spiraling Iran conflict could affect data centers and electricity costs Seven tech giants signed Trump’s pledge to keep electricity costs from spiking around data centers Trump claims tech companies will sign deals next week to pay for their own power supply Anthropic says it’ll try to keep its data centers from raising electricity costs How an ‘icepocalypse’ raises more questions about Meta’s biggest data ce

AI's arrival complicates Big Tech climate goals, and some worry it's locking in more fossil fuels AP News

Federal judge temporarily blocks the Pentagon from branding AI firm Anthropic a supply chain risk AP News

Everything you need to know before you reach the office this morning.

Raising funds to plow into the AI boom proved to be not a problem for the firm.

Article URL: https://rayplayer.com/en Comments URL: https://news.ycombinator.com/item?id=47541616 Points: 2 # Comments: 1

Article URL: https://github.com/AVADSA25/codec Comments URL: https://news.ycombinator.com/item?id=47541413 Points: 1 # Comments: 0
3 killed in tourist helicopter crash off the coast of the Hawaiian island of Kauai AP News

Conntour uses AI models to let security teams query camera feeds using natural language to find any object, person, or situation.

Deccan AI concentrates its workforce in India to manage quality in a fast-growing but fragmented AI training market.

AI is giving bad advice to flatter its users, says new study on dangers of overly agreeable chatbots AP News

AI company Anthropic is testing a previously undisclosed AI model called 'Mythos' that is significantly more capable than anything it has previously built, according to a draft blog post left publicly accessible.
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When an 82-year-old Kentucky woman was offered $26 million from an AI company that wanted to build a data center on her land, she said no. Sure, that same company can try to rezone 2,000 acres nearby anyway, but as AI infrastructure stretches further into the real world, the real world is starting to push back. That tension is everywhere […]

Article URL: https://github.com/KochC/opencode-llm-proxy Comments URL: https://news.ycombinator.com/item?id=47545837 Points: 2 # Comments: 2

When an 82-year-old Kentucky woman was offered $26 million from an AI company that wanted to build a data center on her land, she said no. Sure, that same company can try to rezone 2,000 acres nearby anyway, but as AI infrastructure stretches further into the real world, the real world is starting to push back. That tension is everywhere […]

Ads are rolling out across the US on ChatGPT’s free tier. I asked OpenAI's bot 500 questions to see what these ads were like and how they related to my prompts.

Mistral's new speech model can run on a smartwatch or a smartphone.
TL;DR: v3 of my medical speech-to-text benchmark. 31 models now (up from 26 in v2). Microsoft VibeVoice-ASR 9B takes the open-source crown at 8.34% WER, nearly matching Gemini 2.5 Pro (8.15%). But it's 9B params, needs ~18GB VRAM (ran it on an H100 since I had easy access, but an L4 or similar would work too), and even on H100 it's slow — 97s per file vs 6s for Parakeet. Also found bugs in Whisper's text normalizer that were inflating WER by 2-3% across every model. All code + results are open-source. Previous posts: v1 — 15 models | v2 — 26 models What changed since v2 5 new models added (26 → 31): Microsoft VibeVoice-ASR 9B — new open-source leader (8.34% WER), but needs ~18GB VRAM (won't fit on T4). I ran it on H100 since I had access, but an L4 or A10 would work too. Even on H100 it's slow at 97s/file. ElevenLabs Scribe v2 — solid upgrade over v1 (9.72% vs 10.87%) NVIDIA Nemotron Speech Streaming 0.6B — decent edge option at 11.06% on T4 Voxtral Mini 2602 via Transcription

arXiv:2603.25051v1 Announce Type: new Abstract: This study presents a computational analysis of the Slovene historical newspapers \textit{Slovenec} and \textit{Slovenski narod} from the sPeriodika corpus, combining topic modelling, large language model (LLM)-based aspect-level sentiment analysis, entity-graph visualisation, and qualitative discourse analysis to examine how collective identities, political orientations, and national belonging were represented in public discourse at the turn of the twentieth century. Using BERTopic, we identify major thematic patterns and show both shared concerns and clear ideological differences between the two newspapers, reflecting their conservative-Catholic and liberal-progressive orientations. We further evaluate four instruction-following LLMs for targeted sentiment classification in OCR-degraded historical Slovene and select the Slovene-adapted GaMS3-12B-Instruct model as the most suitable for large-scale application, while also documenting imp

arXiv:2603.24621v1 Announce Type: new Abstract: We introduce ARC-AGI-3, an interactive benchmark for studying agentic intelligence through novel, abstract, turn-based environments in which agents must explore, infer goals, build internal models of environment dynamics, and plan effective action sequences without explicit instructions. Like its predecessors ARC-AGI-1 and 2, ARC-AGI-3 focuses entirely on evaluating fluid adaptive efficiency on novel tasks, while avoiding language and external knowledge. ARC-AGI-3 environments only leverage Core Knowledge priors and are difficulty-calibrated via extensive testing with human test-takers. Our testing shows humans can solve 100% of the environments, in contrast to frontier AI systems which, as of March 2026, score below 1%. In this paper, we present the benchmark design, its efficiency-based scoring framework grounded in human action baselines, and the methodology used to construct, validate, and calibrate the environments.

Today, we’re excited to announce that Amazon Bedrock is now available in the Asia Pacific (New Zealand) Region (ap-southeast-6). Customers in New Zealand can now access Anthropic Claude models (Claude Opus 4.5, Opus 4.6, Sonnet 4.5, Sonnet 4.6, and Haiku 4.5) and Amazon (Nova 2 Lite) models directly in the Auckland Region with cross region inference. In this post, we explore how cross-Region inference works from the New Zealand Region, the models available through geographic and global routing, and how to get started with your first API call. We

Article URL: https://agent-kanban.dev/ Comments URL: https://news.ycombinator.com/item?id=47535671 Points: 3 # Comments: 1

Article URL: https://venturebeat.com/infrastructure/cloudflares-new-dynamic-workers-ditch-containers-to-run-ai-agent-code-100x Comments URL: https://news.ycombinator.com/item?id=47535575 Points: 5 # Comments: 0

Intercom is taking an unusual gamble for a legacy software company: building its own AI model. The 15-year-old massive customer service platform announced Fin Apex 1.0 on Thursday, a small, purpose-built AI model that the company claims outperforms leading frontier models from OpenAI and Anthropic on the metrics that matter most for customer support. The model powers Intercom's existing Fin AI agent, which already handles over two million customer conversations weekly. According to benchmarks shared with VentureBeat, Fin Apex 1.0 achieves a 73.1% resolution rate—the percentage of customer issues fully resolved without human intervention—compared to 71.1% for both GPT-5.4 and Claude Opus 4.5, and 69.6% for Claude Sonnet 4.6. That roughly 2 percentage point margin may sound modest, but it's wider than the typical gap between successive generations of frontier models. "If you're running large service operations at scale and you've got 10 million customers or a billion dollars in revenue,