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-sensing system that measures heart rate every five seconds and helps power a new daily Readiness score. Why it matters: Amazon moved to acquire always-listening wearable Bee, and Meta bought Limitless last year; now Apple is bringing ambient conversation capture to a $399 watch. Live Rewind plays a chime to alert people nearby, but Apple describes no such signal for Siri Recap and says its filters may not catch all sensitive information. Image source: Joby The Rundown: Texas is stepping up elec

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preset and cleans up the text, then into a model node that calls the checkpoint through Inference Providers. A post-process fn node writes the generation parameters into the PNG's metadata on the way out, which is what the PNG Info pipeline reads back later. Hi-resolution fix In Automatic1111, hi-resolution fix first upscales the txt2img output and then runs a second denoising pass. Here it's a two-node detour instead. The text-to-image result goes into a FLUX.1-Kontext model node with a refine

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nd the short second trace is the good outcome. It is the work you did not pay for twice. Tune it when the run earns it Checkpointing is per step, so the configuration is per tool. Metadata under the aws lambda key sets that tool's retry strategy, step semantics, and serdes: AWSLambdaDurability(step config=...) sets the base for every step, and per-tool metadata overrides it key by key, so a tool that sets only step semantics keeps the base retry strategy. At the other end, metadata={'aws lambda'

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ompare the two assets and determine if any edits were made. APIs are available in iOS, iPadOS, and macOS 27 for third-party apps to enable viewing of these reference images. Image metadata and upcoming support for the SynthID standard can also help users identify images generated or edited with AI.6 Together with Apple Reference Image, this set of features represents a multifaceted approach to image authenticity — vital for photojournalists, photographers, and everyday viewers. An Even More Usef

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retch of late nights. Longevity Tab A new Longevity tab analyzes a user’s longitudinal health data for deeper insights into heart health, sleep, mental wellbeing, movement health, metabolic health, hearing, and nutrition. The tab includes Health Age, a new feature that uses Apple Watch data to show users how their metrics are tracking relative to their chronological age, informed by the best available science. The algorithm can factor in metrics from Apple Watch like VO2 max, resting heart rate,

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g a model from a lab based in the US or EU doesn’t guarantee that a data center in that region serves the request. At global endpoints, models from OpenAI, Anthropic, Google, xAI, Meta, NVIDIA, Thinking Machines, or Mistral can run anywhere the provider serving the request operates. A data residency review asks where your request was decrypted and where inference ran, so a US team using GPT-5.6, Claude Opus 5, or Gemini 3.6 Flash on a global endpoint can still fail a compliance review. OpenRoute

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ing to a smaller batch size. The park / resume arrow is the handoff between those two owners: Parking is the ownership boundary for mutable batch state. Python changes per-request metadata, token buffers, KV page tables, and possibly the pointers for a new batch size while C++ waits. C++ snapshots that state only after resume, then owns it for the next decode step. This keeps the megakernel from observing a half-updated batch. The current trade-off is simple: prefill pauses decode, so the engine

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ntainer do not affect the workspace file. How do I download a file the model created? Use the container files endpoints under /api/v1/containers/{container id}/files to list, read metadata, and stream content. To keep a file for the long term, promote it to a workspace document and it gets a new or file id. What is the difference between openrouter:shell and openrouter:bash? openrouter:shell is the OpenAI-compatible tool and runs commands server-side by default. openrouter:bash is the Anthropic-

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. The disappearing interface By the end of the project, much of the design work involved taking things away. We removed window and panel controls, computer-view options, and agent metadata. We also set practical limits of roughly 50 Bots per account and six per group chat. Each decision came back to the same question: Did this help someone delegate, or did it give them one more thing to manage? The line between operating an AI and delegating to a coworker keeps moving as models improve. Grok Bot

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banning virtual personalities outright. The move follows backlash over an Instagram AI tool that used people’s public photos to generate their likenesses without explicit opt-in; Meta later pulled it. Why it matters: A Wired investigation this year found more than two dozen accounts featuring AI influencers promoting the dating app Goose, and the NYT counted hundreds of AI-generated wellness personalities pushing supplements in July. The disclosure rule follows Meta’s $18B settlement over socia

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be featured. 🎇 Fireworks - Train an open model to be better, faster, cheaper on your work 🦀 OpenClaw 2.0 - Open-source personal agent, now with multiplayer sessions ⚙️ Muse Code - Meta’s terminal-based AI coding agent, now out of beta 🏛️ Hermes Agent - Nous' Pantheon update turns its agents into a group chat Sponsored Listing SpaceX’s Starshield AI rolled out Grok for Government on the Pentagon’s internal platform, opening the model for non-classified military use across its 3M employees. OpenAI

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rk Twilio calls attach the call SID and your custom TwiML parameters as participant attributes; WhatsApp callers join with their phone number as the participant identity, plus any metadata you pass in the request To everything else in LiveKit, a phone call and a WhatsApp call look exactly like a browser user. The participant model also carries into your operations. Connector calls show up in the LiveKit Cloud dashboard alongside your SIP and web sessions, with the same session logs and analytics

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ffective resolutions up to 1536³, handling complex topologies that earlier methods struggled with. It also shipped with a PBR texturing model generating base color, roughness, and metallic maps. Ten months is an eternity in generative AI, yet Trellis.2 hasn’t just aged well, it has become foundational. Several open-source 3D models released since build directly on it, the most notable being Pixal3D whose implementation uses the Trellis.2 backbone. The community got there first As always, the Com

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inforcement-learning stack that brings programmable biped robotics down from $13K research hardware to less than a phone. Also today: ICE’s multimillion-dollar robot-dog plans and Meta putting robots to work inside its data centers. In today’s robotics rundown: Hugging Face’s cute open-source duck robot ICE is adding robot dogs to its arsenal Meta’s data centers are becoming robot test labs This robot swarm builds from the top down LATEST DEVELOPMENTS Image source: Hugging Face The Rundown: Hugg

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sly involved seven different vendor programs without a shared interface. A few nights of disrupted sleep are enough to cause widespread impairment: altered cognition, dysregulated metabolism, a weakened immune system. If this goes on long enough, sleep loss can even prove fatal. Yet we still don’t fully understand why. Part of the reason sleep is so hard to study is that it isn’t localized to any one organ. Because sleep is a whole-animal state, developing a mechanistic understanding of it requi

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as on pace to top 5M this quarter, with more than 80% of members renewing after year one. May's slimmer Ring 5 came with predictive-health software and pushes into women's health, metabolic tracking, AI coaching, and medical partnerships. Why it matters: Oura is getting bigger than its sleep-tracker roots: premium hardware, recurring subscriptions, and an expanding health-data business. With Whoop hitting a $10B valuation in March after adding hormone and blood-panel testing, investors are incre

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ond loading is zero-copy: the engine's param.data pointer is set directly to the IPC-mapped GPU tensor. No data is copied. To achieve this, the engine initializes the model on the meta device (no GPU/CPU memory allocation), then replaces each parameter's data pointer with the IPC-mapped tensor. Post-quantization parameters (e.g., weight scale from FP8 quantization) that were created by process weights after loading() are also cached by the daemon and mapped directly — no re-quantization needed.

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h) is unchanged. Our DSpark draft models for LFM2.5 ship with day-one support for llama.cpp (implementation builds on top of the official codebase , which we run with experimental metal kernels ) and SGLang ( implementation builds on the official SGLang implementation of DSpark ). We measure on-device throughput with llama.cpp and Metal on an M4 Max MacBook Pro using FP16 GGUF weights and up to 256 output tokens. We measure GPU throughput with SGLang on a single H100 80 GB in BF16. Both configur

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sor-parallel ranks, so the transfer layer slices and reassembles them for the destination layout. The same payload carries the MTP draft model's KV cache, hidden states, and top-k metadata, allowing speculative decoding to continue on the decode worker. When prefill and decode use different attention-sharding layouts, a GPU staging buffer coalesces the per-layer slices into one bulk RDMA transfer per chunk instead of issuing separate transfers for each slice. Radix Cache and HiCache Qwen3.8 uses

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open models continue to roll into the market, particularly from vendors from China, such as Moonshot AI’s Kimi K3, DeepSeek’s various models, and Alibaba’s Qwen family. Stateside, Meta Glimmer this week rolled out Muse Glimmer, the first in a promised set of open models. (Meaning open weights, but not necessarily open source code for the training algorithm for the models.) Briski noted that over the past year, Nvidia has rolled out its Nemotron Nano, Super, and Ultra, models, with each made for

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