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With AI agents like Meta’s Muse and Instinct now able to make calls on users’ behalf, Google is now letting Gemini call businesses with a new feature called “Call for Me.” The feature will initially roll out to Pixel 11 owners who pay for a Gemini subscription in the U.S. It will also require the use of the beta version of Google’s Phone app for Android, as it’s still supposed to be an experiment. While Google has long offered calling features guided by AI, prior versions were limited in what th

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llar. The benchmarking results highlight consistent stability across multiple benchmark datasets in multiple languages, such as NOTSOFAR, AMI, CALLHOME, and AISHELL, outperforming Meta Muse Voice Transcribe on all datasets at even the ultra-low configuration, and losing to pyannote Community-1 only on AMI. Even under ultra-low latency configurations, the error rate remains within a tight margin of offline baselines, confirming robust speaker attribution under real-time constraints. Streaming dia

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llar. The benchmarking results highlight consistent stability across multiple benchmark datasets in multiple languages, such as NOTSOFAR, AMI, CALLHOME, and AISHELL, outperforming Meta Muse Voice Transcribe on all datasets at even the ultra-low configuration, and losing to pyannote Community-1 only on AMI. Even under ultra-low latency configurations, the error rate remains within a tight margin of offline baselines, confirming robust speaker attribution under real-time constraints. Streaming dia

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What is the GGUF file format? GGUF packages model weights and metadata, including tokenizer information and an optional chat template, in one file. It supports different quantization levels, letting you trade some precision for a smaller memory footprint. Variants such as Q4 K M mix tensor precisions, using mostly 4-bit weights while keeping sensitive tensors at higher precision. Here's how quantization changes the file size of Unsloth's Qwen3.5-4B : We suggest starting with Q4 K M , then trying

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ontext stays server-side, reducing parsing round trips; Eager and concurrent tool execution while model streams; Graceful failures; Live SSEs of every granular step and additional metadata for observability; Mixed tool support (client and hosted tools) One platform for models and agents Baseten has focused on making models fast, reliable, and easy to operate in production. Baseten Hosted Tools expands that foundation to the capabilities models use at inference time. Baseten Grounded Inference is

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n Context stays server-side, reducing parsing round trips Eager and concurrent tool execution while model streams Graceful failures Live SSEs of every granular step and additional metadata for observability. Mixed tool support (client and hosted tools) Baseten has focused on making models fast, reliable, and easy to operate in production. Baseten Hosted Tools expands that foundation to the capabilities models use at inference time. Baseten Grounded Inference is the first step. Over time, we’ll a

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per benchmarks: vertically integrated labs producing proprietary data, models trained against scientist-calibrated rewards, and deployment back into experimentation. The strongest meta-observation came from @richardczl : every company with a meaningful data moat will likely try this play, shifting bottlenecks toward RL rollout throughput, verifier compute, and weight sync . Gemini 3.8 Live and the Push Toward Real-Time Voice Agents Google’s new live audio models : Google launched Gemini 3.8 Live

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g AA's speech-to-speech quality ranking. Odyssey introduced Odyssey 3, a world model that can control robot arms, humanoids, self-driving cars, drones, and games, set to release in the coming weeks. A 404 Media report detailed OpenAI’s ‘Project Lily’, finding that hundreds of human contractors read and rate real ChatGPT chats, often without the user’s knowledge. Meta rolled out Meta One, a new paid tier across its apps running from $2.99 to $499 a month for extra Meta AI usage and creator tools.

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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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