标签：#AR

Perplexity's India revenue rose about 60% after the Airtel offer ended for new users, even as downloads declined.

Comcast is bringing Wi-Fi motion sensing to millions of routers that are already in customers' homes, turning the devices into activity monitors. A new update to the Xfinity Internet app, arriving today, August 18th, enables the feature on compatible Xfinity routers at no extra cost. Announced as part of its new Xfinity Shield service, WiFi […]

The universe may never tell you if your choices mattered. Owlcat’s Osiris Reborn might not either.

Netflix open-sourced an agentic workflow for Observational Causal Inference (OCI) that reduces toil in causal analysis. Given observational data and the human user's analysis plan, the agent uses an actor-critic loop to estimate causality, write a report, and suggest next steps. By Anthony Alford

The scanning and bloodwork health startup founded by Spotify's founder will officially launch in New York in about a month.

The typewriter effect looks simple: characters appear one by one. But behind "skip animation", "no truncation", and "no performance regression" lies a whole set of engineering decisions. The implementation in this article is Flutter/Dart based, but the core semantic decisions — "skip ≠ abort" and "buffer and batch" — are framework-agnostic : Web's EventSource, and native/RN SSE clients, face the same choices. Prologue: a "skip typewriter" button that kept breaking In an AI narrative app (where the user influences an AI-driven interactive story by entering fate instructions), I built a "⏩ skip typewriter" button — users click it to see the full AI reply immediately instead of waiting for the text to appear character by character. The button went through three stages in the dev log: V1 : clicking does nothing — the callback fires, but the user experiences no change V2 : clicking truncates the content — the animation is gone, but the reply is incomplete too Final : clicking reveals the partial text immediately, while the LLM keeps generating the full reply in the background, which appears all at once when done Behind these three versions lie the three most common pitfalls in "streaming UI". This article breaks them down. 1. From SSE to screen: the streaming rendering pipeline Why the LLM "pops" text out The LLM's reply comes back in chunks via HTTP SSE (Server-Sent Events). A typical chunk looks like this: data: { "choices" :[{ "delta" :{ "content" : "Mephistopheles appears" }}]} data: { "choices" :[{ "delta" :{ "content" : "at the study door." }}]} data: [ DONE ] The interval between chunks is determined by the model's generation speed — tens of milliseconds when fast, possibly a full second when slow. That "character-by-character appearance" is what the user perceives as the typewriter animation. Why you can't update the UI on every chunk If you trigger a state update on every chunk, a reply of a few hundred characters can cause dozens or hundreds of UI rebuilds, whi

Developers write far more legally consequential prose than they think, and almost none of it is code. It's the SECURITY.md in the repo root. It's the "Security" page someone in marketing asked you to fill in three years ago. It's the status page update typed at 2 a.m., and the sentence in a customer notice specifying exactly which data was affected. The research summarized in this overview of what the evidence shows about cyber incident disclosure treats post-breach communication as a measurable discipline with predictable failure modes — and the enforcement record of the last three years has quietly turned it into an engineering discipline too. In the most closely watched cybersecurity case of the decade, the only allegation that survived a motion to dismiss concerned a technical description of access controls posted on a website. The claim that survived was written by engineers On July 18, 2024, Judge Paul Engelmayer of the Southern District of New York issued a 107-page opinion in the SEC's case against SolarWinds and its CISO. Most of it was a defeat for the agency. Claims built on blog posts, press releases, and podcast appearances were dismissed as non-actionable corporate puffery — statements too general for any reasonable investor to lean on. The theory that cybersecurity controls fall under "internal accounting controls" was rejected outright. Post-incident 8-K disclosures were held to be reasonable given what was knowable at the time. One thing lived: the company's "Security Statement," a technical page describing its practices to customers. The court let claims proceed specifically on its representations about access controls and password policy , because those were concrete enough to rely on and, as pled, contradicted by internal presentations, security assessments, and Slack messages. The SEC ultimately dismissed the whole action with prejudice in November 2025, so no liability was ever established — but the legal line drawn in 2024 didn't go anywhere.

One of the best things my smart home does is help me care for my pets, and security cameras are particularly useful for keeping track of my many critters. But the barrage of notifications they send often means I miss important ones. So, when Google announced its new Pet Memory feature for Gemini for Home, […]

Ah, the relationship between animals and the technology they can’t quite understand. Today, it seems like there’s a high-tech solution to every element of pet ownership, with devices on the market designed to keep pets fed, cleaned, watched over, and entertained. And if you have a pet you know: nothing is too good — or […]

One of the great joys in life is having pets. The unconditional love, the snuggles, the excitement they show when you get home - these things add an emotional fulfillment to daily existence that can't be achieved in another way. I think everyone's life would be better with a pet (or two) in their lives. […]

Research shows heat amplifies the dangers of pesticides.

You can now get Fairphone's reparable handset in the US without jumping through hoops.

The Fairphone 6+ is priced at $649 and will be available on Amazon.

Reach Capital announced Tuesday an oversubscribed $265M Fund V.

More than a decade after launching in Europe, the Netherlands company is now selling its repairable phones in the US, starting with the Fairphone (Gen 6+).

AI companies like Anthropic and OpenAI regularly publish reports on how people are using products like Claude and ChatGPT, but they only release the data they want us to see, AI researchers say. “There is no independent source to corroborate it,” says Anka Reuel, a Computer Science PhD candidate at the Stanford Trustworthy AI Research…

The company has shifted from making van-life builds to custom outfitting vehicles for small businesses, all while the EV landscape in the US changed dramatically.

I recently bought a Shrike lite which has got 264KB of SRAM. I decided to train an image generation model that generates 32*32 pixel images. The microcontroller also has an FPGA onboard which I used to create two parallel INT8 MAC engines with 16 bit accumulation to speed up calculations, however the system soon hit a memory wall due to the high number of I/O operations, this meant that the system with parallel MAC engines ran slower than the MCU only model (~220 seconds per image vs ~70 seconds per image). It was still a fun project that I enjoyed messing around with. A lot of the images looked weird and noisy because of the heavy quantization and memory limits but some of them came out cool. Full case study here . submitted by /u/PandaBean18 [link] [留言]

The Linux kernel, Fedora, and LLVM now require an “Assisted-by” tag on patches created with the help...

This week shipped one of the more consequential infrastructure changes in a while: DynamoDB absorbed vector search, collapsing a common two-database architecture into one. Meanwhile, a CMU study put hard numbers on something senior engineers have suspected about AI coding tools, and a 3B parameter model posted reasoning scores that have no business coming from a model that size. DynamoDB adds native vector search without a separate database AWS added a SearchVectors API to DynamoDB, letting you store embeddings alongside your application data and query them directly—no Pinecone, no Weaviate, no synchronization layer between your transactional store and your vector index. This matters because the dual-database pattern is genuinely painful at scale. You write to DynamoDB, you write to your vector DB, you manage consistency between them, you pay for two systems, and you debug failures in both. For RAG pipelines and semantic search on data that already lives in DynamoDB, that overhead exists purely because vector search wasn't available where your data was. Now it is. Setup requires picking an embedding model (Bedrock, Cohere, or OpenAI), configuring a vector index with dimensions and distance function, and rewriting retrieval queries to SearchVectors . Vector operations are billed separately per GB across writes, reads, and storage—so run the math before assuming this is cheaper than your current setup. Verdict: Ship if you're already on DynamoDB and maintaining a separate vector DB. The architectural simplification is real. Start with a proof-of-concept on a non-critical workload to validate cost and latency before migrating production RAG infrastructure. AI coding speed spike vanishes in three months Carnegie Mellon tracked 806 repositories after Cursor adoption and found that the velocity boost disappears by month three. What doesn't disappear: a 30% increase in warnings and 41% higher code complexity that persists indefinitely and cuts future velocity by 50–64%. Th