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more partners joining. We're onboarding more inference partners across the real-time AI stack, and we'll keep adding credits to the program as they join it. Each pool of credits draws down on its own, and if one runs out, that service simply rolls over to standard rates so nothing in your agent stops working. All inference credits are redeemable through LiveKit Inference with no separate accounts to create, applications to fill out, or provider keys to manage. Your models are strings in your age

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er blog Console Console Console Engineering at Anthropic Engineering at Anthropic Engineering at Anthropic Overview Overview Overview Marketplace Marketplace Marketplace Claude on AWS Claude on AWS Claude on AWS Blog Blog Blog Claude partner network Claude partner network Claude partner network Customer stories Customer stories Customer stories Powered by Claude Powered by Claude Powered by Claude Service partners Service partners Service partners Availability Availability Availability Check fil

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local level (i.e., cities, townships, counties), of the roughly 20 GW sitting inside a restricted boundary, only 1,525 MW is delayed. Three projects account for the delayed MW: an AWS campus in Ohio, a powered land developer campus in Pennsylvania, and a site in Colorado; New York’s moratorium touches roughly 1.4 GW, but we estimate only about 0.8 GW faces a meaningful delaydirectly attributable to the order Texas adds perhaps three-four months of administrative delay for base-load projects in t

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iplies that power AI workloads involve a high amount of transistor switching in a short period of time, which increases the chip’s current demand on a nanosecond scale. The chip draws that extra current from the closest available source: capacitors that sit next to the chip known as decoupling capacitors (or decaps). Discharging these decreases the chip’s voltage. The chip’s board does have a voltage regulator—a dedicated circuit whose job it is to hold the chip supply voltage at a set target—bu

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to 4% in Japan How are scientists using AI? New research also highlights how scientists are using AI in their work. A new study from Google, Google DeepMind, and MIT FutureTech draws on ATLAS data. It’s an analysis of 2600 specialized AI models, and a survey of over 600 U.S. and U.K. scientists, all organized using a new taxonomy from MIT FutureTech that maps out what scientists do. According to the research, scientists are using AI at a higher rate than many other occupations, and nearly half

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sses already run sales, finance, and support on Zoho. With Zoho CRM, Zoho Books, and Zoho Desk in Claude for Small Business, an owner can ask one question and get an answer that draws on all three: which deals are stalling, which invoices are overdue, which tickets need a reply today. That means more time for serving customers and building the business they envision." “Post-meeting action items, identifying leads to call, what the month-end close turned up: Claude helps teams set their tasks and

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data can support and what fits on a Jetson or an H100 within a latency budget. Robot model sizes tell you where the constraints sit, not where sizes will settle. In LLMs, scaling laws have held, scaling has consistently broadened the range of problems a single model can solve. Early results from companies such as Generalist and Dyna suggest robotics scales the same way. The question isn’t whether scaling works, it’s whether the inputs can keep up. Data is the first constraint, there is no intern

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I will not dispute that they can do more than a year ago, I am unimpressed, because this is more than ten times what Amazon’s entire capex between 2003 and 2015, the years between AWS’ creation and when it hit profitability. This is a terrible deal, its results suck, and the amount of attention it’s gotten is a direct result of the media’s inability to speak truth to power or do anything other than repeat what they say and a financial bubble driven by LLMs’ unbelievable infrastructural cost. If

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m OpenAI’s autonomous AI agents run during evaluations managing to escape and hack servers on Hugging Face’s infrastructure, to an AI-developed computer worm uncovering critical flaws in messaging apps like WeChat. Second is recursive self-improvement (RSI). We are inching closer to a reality where AI begin participating in designing subsequent, more powerful generations of AI, which sparks widespread concern over systems going entirely out of control. Anthropic lately faced a major PR crisis af

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pecific pooled investment vehicles — which should be read in their entirety, and only to those who, among other requirements, meet certain qualifications under federal securities laws. Such investors, defined as accredited investors and qualified purchasers, are generally deemed capable of evaluating the merits and risks of prospective investments and financial matters. There can be no assurances that a16z’s investment objectives will be achieved or investment strategies will be successful. Any

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dit trail. Log the run time with details like the prospect name, company, key needs, etc. The Rundown : Curious how production AI agents get built? The Building Agentic Systems on AWS series is expert guidance you can read right now. This guide goes deep on streaming, where a response can fail after it starts: mid-stream failure semantics, idempotency, cancellation. In this guide, you’ll learn how to: Handle mid-stream failures without losing state Design idempotent actions so retries never dupl

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showing images generated by AI. By Rachel Gordon When an artificial intelligence image generator produces a portrait, whose work went into it? The question sits at the center of lawsuits, licensing deals, and proposed regulations worldwide. Artists want credit. Companies want clarity. Policymakers want a way to assign responsibility. New work from a team of researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) suggests that for models trained on large datasets, th

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at deployment time, so it can be applied to pretrained generative models without retraining them. It can make such models more useful in applications where safety rules, physical laws, or other strict requirements cannot be violated. “The promise of generative AI is its ability to explore a rich space of possibilities, but the real world places boundaries on which possibilities are acceptable. Our approach lets us preserve that generative power while enforcing the nonnegotiable requirements of h

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and powerful. With detailed responses and rich, natural conversations, Siri AI helps users get more done than ever before. Built on Apple Intelligence, this new version of Siri draws on personal context understanding to help users find what they need in the moment across messages, emails, photos, and more. And with even more systemwide app actions, Siri AI can help users with tasks such as drafting an email from scratch or editing and sharing a set of photos. For example, if a user asks Siri wh

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ion Pro panoramas experience previous; next Features are subject to change. Some features may not be available in all languages or regions, and availability may vary due to local laws and regulations. For more information about availability, visit apple.com New Apple Intelligence capabilities across apps are available for users with supported products set to a supported language. Siri AI begins rolling out as a beta in English, with French, Japanese, Korean, Portuguese, and Spanish coming in Oct

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pecific pooled investment vehicles — which should be read in their entirety, and only to those who, among other requirements, meet certain qualifications under federal securities laws. Such investors, defined as accredited investors and qualified purchasers, are generally deemed capable of evaluating the merits and risks of prospective investments and financial matters. There can be no assurances that a16z’s investment objectives will be achieved or investment strategies will be successful. Any

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proving a project. The agents work, but what varies is how much firms get out of them. The report shows that top adopters put people in charge of agents, sort out the content AI draws on and build systems that adapt as models improve. Download the report for data, benchmarks and tips for AI adoption. Download report Let’s turn to recursive self-improvement and the 160-million-plus-view tweet Jacob Coxon @ hilbertspaess I resigned from Anthropic today. I spent the last three years doing pretraini

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pecific pooled investment vehicles — which should be read in their entirety, and only to those who, among other requirements, meet certain qualifications under federal securities laws. Such investors, defined as accredited investors and qualified purchasers, are generally deemed capable of evaluating the merits and risks of prospective investments and financial matters. There can be no assurances that a16z’s investment objectives will be achieved or investment strategies will be successful. Any

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ism paired with sinophobia and erratic decision-making. In the chaos in which we find ourselves, the reality emerges. And the reality is, even today, really problematic. Whatever laws and regulations already exist are largely completely ignored. Plenty of companies are buying data from all over the place that people never agreed could be used for training of AI models. The token economy that is emerging is one that looks like a drug market where you don’t know where the requests are going, what

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