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The approach is like a Costco for heat pumps, and it’s helping make installations more accessible as heat waves worsen.

Platforms are finally recognizing that people don’t want to consume AI slop. A growing number of sites and apps now have tools and policies to flag, label, and ban AI-generated content.

Article URL: https://ethw.org/Milestones:Parametron,_1954 Comments URL: https://news.ycombinator.com/item?id=49241846 Points: 101 # Comments: 28

Article URL: https://squeak.org/release_notes/6.1/ Comments URL: https://news.ycombinator.com/item?id=49242653 Points: 88 # Comments: 32

Article URL: https://bobdahacker.com/blog/tldv-hack Comments URL: https://news.ycombinator.com/item?id=49242739 Points: 269 # Comments: 94

Article URL: https://www.beautifulpublicdata.com/boat-names/ Comments URL: https://news.ycombinator.com/item?id=49243029 Points: 82 # Comments: 43

Article URL: https://mrmarket.lol/how-i-feel-calmin-control-of-my-life-in-the-time-of-enshittification/ Comments URL: https://news.ycombinator.com/item?id=49243269 Points: 76 # Comments: 57

Article URL: https://patentsgazette.uspto.gov/week26/OG/html/1547-5/US12670045-20260630.html Comments URL: https://news.ycombinator.com/item?id=49243397 Points: 100 # Comments: 92

Article URL: https://www.ft.com/content/4e3957f8-ea7c-4c46-a3de-cdce8e526878 Comments URL: https://news.ycombinator.com/item?id=49243880 Points: 71 # Comments: 65

Article URL: https://openai.com/index/responsible-ai-infrastructure-texas/ Comments URL: https://news.ycombinator.com/item?id=49244308 Points: 46 # Comments: 42

Article URL: https://www.seattletimes.com/seattle-news/sea-lion-radio-brings-seattles-barks-bleats-and-yaps-to-the-world/ Comments URL: https://news.ycombinator.com/item?id=49244762 Points: 5 # Comments: 0

Article URL: https://www.seattletimes.com/business/technology/pervert-glasses-backlash-against-metas-smart-glasses-grows/ Comments URL: https://news.ycombinator.com/item?id=49244783 Points: 20 # Comments: 4

Article URL: https://thetokyohermit.substack.com/p/itadakimasu-a-word-you-say-to-the Comments URL: https://news.ycombinator.com/item?id=49244916 Points: 12 # Comments: 1

Article URL: https://www.theguardian.com/games/2026/aug/10/ai-psychological-horror-game-prove-youre-human-sunset-visitor-studio Comments URL: https://news.ycombinator.com/item?id=49245019 Points: 5 # Comments: 1

Article URL: https://www.bbc.com/news/articles/c1j1kjy7gewo Comments URL: https://news.ycombinator.com/item?id=49245023 Points: 42 # Comments: 24

Article URL: https://www.bloomberg.com/news/articles/2026-08-06/what-is-openai-s-device-a-doughnut-shaped-speaker-that-costs-over-300 Comments URL: https://news.ycombinator.com/item?id=49245062 Points: 17 # Comments: 13

(disclosure: i maintain the open-source project this came up in. link at the end. the question stands on its own.) we hit a trust-boundary problem while building a deterministic authorization layer for agents, and i think it generalizes. an engine can strongly protect its verdict: signed authorization intent binding state-hash binding replay protection trusted evaluation time all solid. but if the same compromised agent runtime can influence both the proposed action AND som...

https://preview.redd.it/jt5idx0u0jih1.png?width=960&format=png&auto=webp&s=170a37be6d0e2d4814a7d9bcc97f23c90ffe9bb0 Meta will open source their Muse Spark 1.2 and Muse Glimmer 30B The biggest open weights since Llama 4 & 3 from MSL

Building an agent that works in a controlled demo is one thing; keeping it reliable in production is another. For those who have actually deployed AI agents, what has caused the most problems? Tool/API reliability? Context management? Memory? Authentication and permissions? Evaluation? Hallucinations? Cost and latency? Observability? Human-in-the-loop workflows? Integration with legacy systems? I'm especially interested in what changed between the prototype and production. What problem did...

97.7 on Online Mine 2Web 83.2 on internal 68.6 on WebTail Bench Best across board and at 2.37 dollars per million token 90% Than GPT5.5 ! how they have trained this. They are using an undisclosed base model and using SFT to accelerate time to market, combined with asynchronous reinforcement learning, especially leveraging the GRPO algorithm. If you don't know, this is similar to how DeepMind historically has trained their AlphaGo Even though they are talking about 1-3 sec latency the ...

Solar energy, at any time of day or night - that's the dream of space mirror projects. Futurists have been imagining satellite mirrors that could reflect the sun's light onto the Earth's surface for over a century. Russian scientists experimented with the concept in the '90s with the Znamya project. The idea is to put […]

Ford is rolling out a new AI-powered assistant that can answer questions about your Ford or Lincoln vehicle, such as how much fuel you'll need for your next road trip or whether your truck can tow that new motor boat. The app is rolling out first to the Ford and Lincoln mobile apps, where it […]

Following the latest twist in Google's legal battles with Epic, US Android users are now able to open Google's Play Store and download a third-party digital store with its own selection of apps. Aptoide, a store specializing in mobile games, is the first to become available. Third-party app stores have always been available on Android, […]

The ability to add Venmo to Google Play comes as people are spending more money on apps and games.

Discovered Materials raised $9 million to fund the hunt for more novel materials to build more efficient chips.

I used to think every server needed a public IP. It's just... how servers work, right? Then I moved my side project , a small Node.js API with a Postgres database , to Krova Cloud. Cubes don't get public IPs by default. Within a day, I realized I'd been accepting a bunch of nonsense I didn't have to. No more SSH brute-forces. No open ports accidentally exposed. No anxiety about whether my firewall rules were perfect. Here's what happened. The problem with public IPs I ran my project...

A+B: When the Stars of Humanity Shined Dedicated to all the pioneers of "over-engineering" on the A+B Problem. Prologue: One Problem, Ten Thousand Ways to Flex In the corners of countless OJs (Online Judges), there lies a problem named A+B Problem . It has only a single line of requirement: Input two numbers, output their sum. Yet, warriors picked up their algorithmic weapons and launched an assault on a seemingly impenetrable "simple" fortress. This is a chro...

Architecting a Solana Data Pipeline: Economics & System Design If you have ever tried to track every single swap across Raydium, Orca, and Jupiter in real-time, you already know the painful truth: Solana is simply too fast for traditional Web2 architecture. Standard REST API polling will get you rate-limited instantly. If you try to blindly open a WebSocket and dump the raw payload into a standard database, your server will run out of memory, drop packets, and corrupt your dataset. ...