标签：#App

Starting on Friday, August 28th, Apple will begin streaming Friday Night Baseball in immersive video on Apple Vision Pro. The stream will feature commentary from various analysts and reporters, and live graphics will be anchored around the viewers space during the game. After the games conclude, replays will be made available in the Apple TV […]

AirTags end up attached to all kinds of important items, and sometimes those items get wet. Let's talk through what to expect.

You can now use your Venmo balance or linked accounts for Google Play purchases.

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

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, […]

MIT Technology Review’s What’s Next series looks across industries, trends, and technologies to give you a first look at the future. You can read the rest of them here. Way back in the summer of 2017, AI researchers at Google put out a paper called “Attention Is All You Need,” in which they described a new…

Every few decades, someone announces that science has reached its end. In 1903, the revered physicist Albert Michelson wrote that the “facts of physical science have all been discovered.” In the 1980s, Stephen Hawking predicted that theoretical physics might be finished by the end of the century. With the explosive arrival of artificial intelligence, the…

Cloud Native Buildpacks, which graduated within the CNCF in July 2026, move base image choice out of per-service Dockerfiles into a single builder owned by platform engineering, enabling fleet-wide patching. BellSoft's hardened Paketo builder is the latest sign that vendors now treat the builder, not the Dockerfile, as the container security control point. By Mark Silvester

Everyone demos a WhatsApp chatbot. Few run one in production with real customers sending real messages 24/7. After 18 months of running SARA — an open-source WhatsApp AI agent serving businesses across 20 industries — here's what we learned about architecture that survives contact with reality. Why WhatsApp? The numbers are simple: 2B+ monthly active users 60% of SMB customers prefer messaging over calling 98% open rate (vs 20% for email) But WhatsApp is NOT just another chat channel. It has unique constraints that break naive implementations. Architecture Overview WhatsApp (WAHA) → Bridge (:3008) → SARA API (:3006) → AI Provider Chain → Tool Dispatcher ↓ Groq → Cerebras → SambaNova → Mistral The Provider Fallback Chain Single-provider AI is a production risk. We use a 4-provider chain: Primary: Groq (fastest, free tier) ↓ fail Fallback 1: Cerebras ↓ fail Fallback 2: SambaNova ↓ fail Fallback 3: Mistral (paid, always works) Each provider gets 2 retries with exponential backoff before failover. Result: 99.7% uptime over 6 months with $0 inference cost (free tiers). Tool Calling: Not Just Chat SARA doesn't just answer questions. She executes actions: create_reservation — books a table with date normalization ("domani alle 8" → 2026-08-10T20:00) check_inventory — queries stock levels generate_invoice — creates a PDF from database records schedule_appointment — manages calendar slots The dispatcher maps 30+ tools to handlers with an autonomy gate: User message → Intent classification → Risk assessment → Tool execution ↓ Low risk: execute immediately Medium: execute + notify owner High: ask for confirmation first You do NOT want your AI agent booking a catering order for 500 people without human approval. PII Handling Messages contain names, phone numbers, addresses. Our pipeline: Anonymize before sending to LLM (replace "Mario Rossi" → "[PERSON_1]") Process with anonymized data De-anonymize tool calls only (the reservation needs the real name) Never log PII in plain tex

There are several smart reasons most people should be hiding apps on their iPhone or iPad. Here's how to do it.

If you're considering ditching iOS for an Android device, make sure you know what you might be losing.

There are endless ways to record and transcribe your virtual meetings with AI. Here’s an option that’s free and open source.

A VAST wrapper with no AdSystem, no VASTAdTagURI and no Impression validates against the VAST 4.4 draft schema. The same document has been invalid in every version from 2.0 through 4.2. It is one line of XSD, and it is almost certainly a side effect of the CTV Ad Portfolio restructure rather than a decision anyone made on purpose. I have filed it with IAB Tech Lab. This post is the working, because the reproduction is short enough that anyone can check it in about a minute. The change In vast_4.4.xsd on master, both vastInLine_type and vastWrapper_type wrap their children in a single compositor: an xs:choice with minOccurs zero and maxOccurs unbounded. That looks harmless. It is the idiom people reach for when they want to say "these children may appear in any order". What it actually says is stronger than that. In XSD, the cardinality on the compositor governs the content model, and the minOccurs on the individual child elements only describes a single selection from the choice. Set the choice itself to zero-or-more and every constraint underneath it stops binding. So the children still declare minOccurs="1". They are still, in effect, optional. The compositor in question <!-- vast_4.4.xsd, vastWrapper_type and vastInLine_type --> <xs:choice minOccurs= "0" maxOccurs= "unbounded" > <xs:element name= "AdSystem" type= "vastAdSystem_type" /> <xs:element name= "VASTAdTagURI" type= "vastURIElement_type" /> <xs:element name= "Impression" type= "vastImpression_type" /> <xs:element name= "Creatives" type= "vastCreatives_type" /> <!-- ... --> </xs:choice> Three consequences, not one The empty wrapper is the headline, but the compositor gives up three separate guarantees at once. Each is reproducible with xmllint against the published schema. What now validates in 4.4 Everything is optional. An empty <Wrapper/> validates. So does an empty <InLine/> , with no AdSystem, no AdTitle, no Impression and no Creatives. Everything repeats. maxOccurs="unbounded" on the choice means any

Last month, I published a benchmark showing a 1.125× speedup from block-residual caching on 4-bit FLUX . The main lesson was not the multiplier. It was that my original quality metrics had been measuring the wrong thing, and that acceleration claims often combine speed, trajectory preservation, and perceptual quality into one number. For the follow-up, I chose a stricter target: real-time autoregressive diffusion video on an Apple M5 Max , with the definition of "real time" frozen before results were visible. The tested configuration did not meet that target. The fastest claim-eligible result was 1.418 native generated frames per second , compared with a 16 FPS target. That is an 11.28× gap . I am publishing the result because the measured bottleneck, one systems improvement, and two rejected hypotheses are useful even without a real-time result. The evidence can be checked from a repository checkout: git clone https://github.com/kkjcodes/liveframe cd liveframe python -m pip install liveframe liveframe verify \ artifacts/liveframe-publication-claims.v1.json \ --artifacts-root . liveframe recompute \ artifacts/liveframe-publication-claims.v1.json The setup LiveFrame evaluates Wan2.1-T2V-1.3B-based causal video models across NVIDIA H100 CUDA and Apple M5 Max MLX/Metal. The experiments include: Causal Forcing++ for the clean M5 performance fixture Rolling Forcing for the CUDA-to-MLX portability study Frame-wise Causal Forcing++ for the H100 cache-reuse experiment The clean M5 fixture produces 81 pixel frames at 480×832, corresponding to 5.06 seconds at the model's native 16 FPS. Before holdout results were visible, the relevant protocols froze their prompts, seeds, content strata, horizons, thresholds, aggregation rules, and stop rules. For the cross-runtime experiment, stochastic inputs were serialized once as BF16 tensors. CUDA and MLX consumed byte-identical tensors rather than relying on nominally matching random seeds. LiveFrame separates four claim layers: Numeri

There are advantages and disadvantages to both connection types. Here's how they compare and when you might choose one over the other.

Apple has a not-so-obvious heart rate feature that's worth checking out. Here's what it does and how to use it.

We chatted with Supernatural's Head of Fitness about the company's plans for its VR exercise app.

Hi, friends! Welcome to Installer No. 139, your guide to the best and Verge-iest stuff in the world. (If you're new here, welcome, barbecue sauce, and also you can read all the old editions at the Installer homepage.) This week, I've been reading about Johnny Knoxville and Google Zero and the history of the bicycle, […]

X is retiring its old rewards-sharing program after September 7.

A new software update builds on WhatsApp’s group chat chops by adding anonymous polls and introducing an easier way to start a smaller private chat away from the larger group.