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DeepSeek Flash fine-tune ⚙️ SWE-2 - Cognition’s powerful new coding model inside of Devin 🎵 Music v2.5 - ElevenLabs’ latest music AI for richer melodies, long-form songs 🤖 Muse - Meta’s new always-working personal AI agent Amazon Connect Customer - design, govern, and deploy agentic conversational AI across every customer surface. Streamline workflows. Give customers what they need the first time . OpenAI CEO Sam Altman told Fortune that the company won’t IPO in 2026, saying right now would be

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ares peak at a 234% gain before closing up 188%, valuing the company near $25.5 billion. Enflame is the last of China’s “four AI chip dragons” (alongside Moore Threads, Biren, and MetaX) to go public, and the frenzied reception underscores how much investor appetite Beijing’s semiconductor self-sufficiency push has generated — even as the debut immediately reignited debate over whether China’s humanoid-robot and chip IPOs are running ahead of fundamentals. (Bloomberg/Reuters/SCMP) Anthropic accu

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ributed failures Lack of visibility in complex and decentralized workflows makes it difficult to find root causes when failures occur. You can resolve this by adding observability metadata over the orchestration layer. It tracks and documents dataflows so that your team can use the execution history for troubleshooting problems. n8n’s approach to process orchestration n8n provides builders with a visual control plane where you can coordinate both deterministic and agentic execution in one unifie

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to these off-balance sheet guarantees and backstops is the same one we described in The Front End Gets Crowded (institutional article). The Gigascalers (Amazon, Microsoft, Google, Meta, Oracle) have been gatekeeping the investment grade capital that the AI buildout runs on and have benefitted tremendously from the high spread between offtake price they are being charged, and spot/short-term price that they are selling at as well as services that sit on top. In response, Nvidia has been manufactu

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w blocking everything. I think this is unlikely. We do actually see this kind of generalization even from RL in practice already. But if it is just ridiculously hard to generalize meta-learning, plus we don’t solve continual learning and it’s just super hard and impossible… This would be my default scenario in that case. John Schulman I agree with that. Humans have a lot of advantages over models now. Each time a new model comes out, it’ll catch up in some of these areas. But you end up getting

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p. Mistral brings in billions but can’t shake its identity crisis. A new Ramp report shows AI spending per employee dipped in August. Coding assistant Cognition rakes in billions. Meta launches its Instinct-competitor Muse. The DOJ turns its attention to Nvidia’s Groq acquihire. Biden administration officials tell their side of the infamous a16z meeting in 2024 that led firm leaders to endorse President Trump. OpenAI & Anthropic Could Profit from Cyber-Defense Tools. The Irony Is Lost on No One.

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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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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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