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across 47,885 pairs, v2.5 was the preferred take the majority of the time. The gap is widest with songs that are vocal-led and acoustic-heavy genres like R&B, soul, hip hop, rock, metal, orchestral and cinematic music. 2.5 is the new default in ElevenMusic, but if you're attached to Music v2, don't worry. It isn't going anywhere. Your music Every track you make in ElevenMusic is yours. On the Free plan you get five lossless downloads a day, and you can use what you make commercially as long as y

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3-based coding model that claims to match Fable 5.1 and GPT-6 Astra on certain coding benchmarks while costing 64% less. Thinking Machines co-founder Andrew Tulloch is moving from Meta to Anthropic, months after initially rejecting Mark Zuckerberg's reported $1.5B package and then signing on anyway at an undisclosed compensation. OpenAI denied to the NYT that Tristan Buckmaster's Codex prompts shaped its Navier-Stokes proof, while claiming "substantial progress" on another Millennium Prize probl

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e coming years and basically to tell Wall Street to take a chill pill on the GenAI bubble bursting. Across the six XPU customers that Broadcom has – Google, Anthropic, OpenAI, and Meta Platforms for sure, and possibly ByteDance (which owns TikTok) or Apple for the other two, but Amazon Web Services is using Broadcom for packaging and integration for Trainium 4 – there is about 30 gigawatts of total compute capacity, which suggests that you can install XPU systems for somewhere around $12 billion

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ngth sample. Geolocation from photos Images can contain important clues about where a person of interest was when they took a photo, but they do not always come with geolocational metadata. Images are regularly used to narrow down the possible locations of a target as part of “fixing” in intelligence targeting. This evaluation measures model capabilities at this task. We asked models to geolocate social media photographs using only their own understanding of the world (no reverse image search, m

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anklin Farms lateral - 13.2 miles of 36-inch pipe at a billion cubic feet a day, plus a shorter branch - to feed Entergy Louisiana’s new combined-cycle plants, which in turn power Meta’s Hyperion campus over the grid. Entergy, not Meta, is the shipper, so this is the utility-served route rather than a behind-the-meter one. Even with no compression, it still runs 19 months from the federal filing in July 2026 to a February 2028 in-service date; New Mexico. Again we arrive at Oracle’s Project Jupi

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AI? Tell us for a chance to be featured. 🎶 Suno v6 - Suno’s AI music model developed directly with the music industry 🎨 ChatGPT Images 2.5 - OpenAI’s new SOTA image model 🤖 Muse - Meta’s new always-working personal AI agent 🧬 AlphaGenome Atlas - Google's AI map of every possible human DNA mutation Anthropic disclosed a fourth case of Claude breaking into real systems during cyber testing, with METR now conducting an 8-week independent investigation of the incidents. OpenAI appointed Paul Christi

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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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text, storing textual memories during the context, and even if the inference rollout involves communicating in text with other agents; For a model that does latent reasoning (like Meta’s COCONUT (Hao et al., 2024)), the NLS depth of an inference rollout is the number of latent reasoning steps times the NLS depth of a single forward pass. Similarly, for a looped transformer, the NLS depth is the depth of a loop iteration times the number of loops. This is true in each case even if tokens are gene

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In a post-AGI world, we solve the meta-problem of which problems to solve In the post-AGI world (perhaps even in the post-RSI world) I think there will still be cognitive labour. I actually think the most important people will be philosophers, economists, people who deeply understand opportunity cost, scientists deep in a domain who have also been exposed to others, all with the moral seriousness to say which problems are worth solving. What will all these people be doing? Essentially deciding w

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ech in Western society. This is only an AI story due to timing, and if AI’s exponential growth came decades after the growing pains of today’s technology platforms like Google and Meta, it seems likely that the datacenter issue would’ve never risen to such a central political position. Solving either of these would alleviate a substantial amount of pressure, and give the AI industry a lot more time in showing the positive case for why people should be okay with changes to the status quo (primari

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nd learn how to build and run an ad creative strategy from Rishi Lalwani, The Rundown’s Head of Growth. RSVP here . In today’s AI rundown: OpenAI claims a Millennium Prize problem Meta debuts new Muse personal AI agent Find out where your brand appears in AI search OpenAI improves its already top-ranked image model LATEST DEVELOPMENTS Image source: OpenAI The Rundown: OpenAI published a proof from an unreleased internal model, claiming to settle Navier-Stokes, one of the seven $1M Millennium Pri

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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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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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pic. One weakness of this analysis is that we’re talking about Microsoft’s Fiscal Year 2027, which actually began in the middle of 2026. Most other hyperscalers (including Amazon, Meta, and Google) align their financial years with the calendar years. Nevertheless, I think it’s fairly illustrative of the problem. To estimate the contribution — and be incredibly fair! — I have assumed OpenAI and Anthropic’s Microsoft spend will be linear (at $52.5 billion) across fiscal year 2028, and then halved

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B-Instruct 许可证或 Llama 许可证。DeepSeek 曾为 DeepSeek V3 使用自定义许可证，后来 R1 将其改为 MIT，这导致许多（中国）模型厂商在 2025 年采用 MIT 或 Apache 2.0 许可证。 2026 年，开放模型比以往任何时候都更具竞争力，这带来了两个有趣的发展：西方模型厂商采用开放许可证，Google 和 Meta 都转向了 Apache 2.0。然而，处于前沿的中国模型厂商正变得越来越严格：Kimi K3 附带的许可证要求提供推理或微调服务者签订商业协议，MiniMax M3 则要求超过收入门槛的协议，并规定了禁止使用的场景。 最新的例子是智谱的 GLM-5.3，它从 MIT（GLM-5.2 及更早版本）改为自定义许可证，对推理和微调服务提供商有如下条款： 如果被许可方或其任何关联方经营模型即服务（Model as a Service）业务，且被许可方及其关联方在任何连续 12 个月内的总收入超过 100 亿美元（或其他货币的等值金额），则被许可方在使用本软件或其衍生作品用于任何商业目的之前，必须通过 Z.AI 的安全审查。安全审查

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-device agents 🏪 Grok Bot Marketplace - Publicly available Grok Bot builds for agent teams ⚡️ Gemini 3.8 Flash - Google’s fast, low-cost reasoning model 🗣️ Muse Voice Transcribe - Meta’s real-time speech-to-text model Get more from Claude – Your style, voice, and data, supercharged. Unlock Claude’s full potential with custom skills. Download the guide . U.N. rights chief Volker Türk said he shares fears that “advanced AI could pose an existential risk to humanity,” adding that a few men hold “al

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