2026 - Page 78 of 1451

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AI’s Memory Crunch Is Coming for Android Apps — Google’s New Memory Limits Explained

Google published two new Play app quality requirements on 27 August 2026, and the first of them makes memory usage a publishing condition from February 2027. Apps and games must stay under published per-tier thresholds for dynamic memory (anonymous RSS plus swap), bitmap memory and DEX code optimisation, measured at the 90th percentile over rolling 28-day windows. Google’s stated reason is unusual for a Play policy: “significant hardware supply constraints that are altering device memory availability” — the AI data centre boom draining consumer DRAM supply. This breakdown covers the published thresholds for apps and games across the 4 GB to 16 GB tiers, the Android 17 Memory Limiter that enforces the same idea through Linux cgroup v2, what tends to break first, the contradiction between Gemini Intelligence’s 12 GB requirement and shrinking budget-phone RAM, and the work to schedule before the deadline.

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Hugging Face and Pollen Robotics Open Pre-Orders for the $399 Microduck

Hugging Face and its Pollen Robotics subsidiary opened pre-orders on 27 August 2026 for Microduck, a 25 cm bipedal robot duck priced at $399 before taxes and shipping, with first deliveries targeted before Christmas 2026. The machine carries 15 motors, a wide-angle camera, an 8×8 time-of-flight LiDAR array, two IMUs and an articulated beak that works as a gripper, on a Rockchip RK3566 with 1 GB of RAM and 32 GB of storage running its neural policy at 50 Hz. Seven behaviours ship on the device — walking, rolling on skates, grasping, kicking, standing up after a fall, sitting and a generated audio identity — and every one was trained in MuJoCo with proximal policy optimisation and transferred to hardware. The control stack and the full training pipeline are published under Apache 2.0, but the hardware is not open and Pollen Robotics says it has no plans to change that. This breakdown covers the pack pricing, the complete published specification, the Open Duck Mini project the design grew out of, how it compares with the Reachy Mini line, and the battery, payload and compute ceilings that decide who should actually buy one.

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Google Releases Omni 1.1 Flash Video Model With 1080p and 4K Support

Google released Gemini Omni 1.1 Flash on 27 August 2026, the production version of its generative video model, and the headline change is output above 720p. The model now accepts resolution values of 360p, 720p, 1080p and 4K, extends an existing clip in ten-second increments to a cumulative forty seconds, and interpolates footage between a start frame and an end frame you supply. It is paid-tier only, billed on output tokens at a rate Google states as 5,792 tokens per second of 720p video — roughly $0.10 per second — with a 360p draft tier at a third of that cost and up to 60% faster. This breakdown covers exactly what shipped, why the 1080p and 4K figures are documented as upscales rather than native renders, how the token billing compares against Veo 3.1, which surfaces the model is live on today, and the limitations list that blocks editing uploaded video for users in the UK, the EEA and Switzerland.

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Google Brings Trip-Planning Features to Search’s AI Mode

Google has added flight price tracking, conversational hotel booking and miles-and-points pricing to AI Mode, the conversational surface inside Search. Announced on 27 August 2026, the three features complete a nine-month build that started with the Canvas itinerary panel in November 2025 and turns AI Mode from a place where you research a trip into a place where you arrange one. The rollout is far more uneven than the headline suggests: price tracking reaches more than 180 countries and the points display is global, but hotel booking is live in a single country, in English, with ten named partners including Booking.com, Expedia, Marriott and Hilton. This breakdown covers exactly what shipped, where each feature actually works, what Google’s own usage data says about why travel was the obvious target, and what the shift does to the travel websites that used to be the destination.

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Veracity Reveals the Sources Behind Its AI Fact Checks With 0-100% Reliability Scores

Veracity is an open-source fact-checking system from Montreal’s Complex Data Lab that pairs a large language model with a web retrieval agent and refuses to answer without showing its evidence. Every claim comes back as a reliability score between 0% and 100%, a plain-English interpretation, a share recommendation gated at 60%, and a panel listing every source consulted along with its documented credibility. This breakdown covers the five-stage pipeline, the stack behind it, why the 60% cutoff is the most questionable decision in the design, what independent benchmarks say about the roughly 83% real-world accuracy ceiling for automated fact-checking, and how to evaluate any claim-scoring layer before you let it near a workflow.

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Visa Ships a Security AI That Patches Your Code Before Any Human Reviews It

Visa has open-sourced the Visa Vulnerability Agentic Harness, the tooling it used to hunt for bugs across its own payment network, and its documentation contains a line worth pausing on: “A plain scan edits your code.” In its default configuration the harness runs discovery, remediation and validation end to end, writing candidate fixes straight into source files before any person has looked at the finding or the patch. Nothing reaches production without a human, but nobody approves the patch before it is written. This breakdown covers the four-phase, eleven-stage pipeline, exactly where the “no human review” claim holds and where it collapses, what Visa itself says about oversight, and the independent evidence that only 26% of AI-generated security patches fix the flaw without changing what the software does.

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