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周五 · 37 条

TechCrunch · AI

Canva releases its first image generation model

Canva is making its new image model available to all users, promising better, more customizable performance at lower costs.

TechCrunch · AI

OpenAI makes its Jev competitor widely available as decision model competition heats up

OpenAI is launching its decision model to the world. Can it compete with the original Jev?

The Verge · AI

Discord now formats Markdown previews right

Discord's latest update released today has a big improvement for Markdown previews: they should now render correctly instead of with "a bunch of symbols," according to the company. LLMs and AI agents often rely on Markdown files for instructions and context, so these improved previews could be helpful for people sharing information about AI projects […]

MIT Technology Review · AI

AI’s hidden storage bill: What inference leaves behind

Ask most executives to picture the cost of AI and they’ll likely see GPUs—racks of accelerators with gigawatts of power—and a waitlist for silicon. But that picture leaves something out: Data storage costs. What happens to data after a model responds? Much of the back-end data that’s generated—from billions of daily prompts, images, and videos—needs…

MIT Technology Review · AI

Making the case for context-aware AI

Enterprise AI can generate recommendations, automate tasks, and help organizations make decisions faster. But without an understanding of how a business actually operates, even powerful models can miss the constraints and relationships that determine whether a decision is the right one. As companies look to move AI from experimentation into everyday operations, the challenge ahead…

OpenAI agents analyze mouse brain data in 32 minutes, a job that would take humans months

OpenAI teamed up with PerturbAI and Scripps Research to deploy thousands of AI agents that analyzed biological data from millions of mouse cells. The article OpenAI agents analyze mouse brain data in 32 minutes, a job that would take humans months appeared first on The Decoder .

MIT Technology Review · AI

The Foundations of Scalable AI

A scalable AI system requires a strong foundation. Data, engineering, platforms, operating models, and governance must converge to work as one. This session from MIT Technology Review’s EmTech Future conference explores what it takes to build that foundation in a highly regulated environment and how a responsible, trustworthy implementation can turn emerging capabilities, including agentic…

TechCrunch · AI

Microsoft’s Mustafa Suleyman says its AI outperforms doctors on hard cases as he chases ‘medical superintelligence’

Microsoft’s new AI diagnostic system beat generalist doctors on hard cases, according to a study in Science. But most of the improvement seems to come from the AI models underneath, not from Microsoft’s system itself.

Major US banks are locking out AI agents that log in with customer credentials

Customers are letting AI agents use their credentials to access accounts at Morgan Stanley, JPMorgan, and other major U.S. banks, sometimes without direct instructions. Morgan Stanley has blocked agents, while other banks are restricting access. Most plan to limit agents to read-only access. The article Major US banks are locking out AI agents that log in with customer credentials appeared first on The Decoder .

Donating Agent Skills to the Agentic AI Foundation

Donating Agent Skills to the Agentic AI Foundation News today from Anthropic: We’re committed to keeping Agent Skills open, community-driven, and vendor-neutral. Today, we are donating the standard to the Agentic AI Foundation (AAIF) under the Linux Foundation, which we co-founded with Block and OpenAI last year, and to which we donated the Model Context Protocol (MCP). I'm pleased to note I called this one last December , when Anthropic first declared skills to be an "open standard": I wouldn't be surprised to see this end up in the AAIF , recently the new home of the MCP specification. Fun side note: since my blog content is available to Claude via the datasette-mcp plugin I found that post by prompting Claude to " Use simonwillison.net MCP to find if I ever talked about how I want skill

AWS Machine Learning Blog

Amazon Polly delivers a major upgrade to its Generative engine

The Amazon Polly Generative engine gets a major upgrade: more expressive, more accurate speech with low latency, plus 14 new voices across 9 locales and general availability of Hindi and Finnish. This drop-in upgrade requires no code changes and is now generally available in production.

AWS Machine Learning Blog

How IskayPet unified corporate knowledge with Amazon Bedrock Managed Knowledge Bases

Learn how IskayPet, a leading pet care company in Iberia, built a multilingual corporate knowledge assistant on Amazon Bedrock Managed Knowledge Bases. The assistant answers employee questions across retail, veterinary, onboarding, and procurement in four languages and three countries, with no RAG infrastructure to manage.

AWS Machine Learning Blog

Announcing new ways to customize models with SageMaker AI, without managing GPUs

Amazon SageMaker AI serverless model customization now includes training sessions, generally available today. You write and coordinate your own post-training loop (custom loss functions, reward signals, or multi-turn reinforcement learning) while SageMaker AI handles GPU allocation, distributed execution, fault recovery, and checkpoint storage.

AWS Machine Learning Blog

Write your own training loop — without managing GPUs — with Amazon SageMaker training session APIs

Amazon SageMaker AI training session APIs let you write your own LLM training loop (SFT, RL, or custom objectives) in a Python script while the service runs the GPUs. This post introduces the programming model and three SDK clients, then walks through a GRPO loop on GSM8K and a reinforcement learning workload on competitive programming.

Google's Agent Compute Engine gives every Gemini agent its own hardware-isolated micro virtual machine

With Agent Compute Engine, Google is introducing a runtime environment designed specifically for AI agents, while also expanding the governance capabilities that enable companies to manage agents in cloud, hybrid, and on-premises environments. The article Google's Agent Compute Engine gives every Gemini agent its own hardware-isolated micro virtual machine appeared first on The Decoder .

AWS Machine Learning Blog

Deploy AI in a HIPAA-eligible environment with Amazon Quick

Amazon Quick is a HIPAA-eligible service, but eligibility is not the same as compliance. This post explains who HIPAA applies to, how PHI flows through Amazon Quick, what the platform provides for regulated environments, and a step-by-step guide to deploying compliant AI agents in a healthcare environment.

AWS Machine Learning Blog

Stream low-latency speech from AI agents using Kokoro TTS on Amazon SageMaker AI

Voice agents often wait for an agent's full response before starting speech synthesis, adding latency users feel directly. This post shows how to stream each sentence to a Kokoro-82M text-to-speech model on Amazon SageMaker AI as the agent produces it, and how to get that audio back to a browser over Server-Sent Events or a unified binary transport.

Why AI Compute Comes in Rectangles — Erik Bernhardsson, Modal CEO

Elastic GPUs, sandbox growth, and the economics of the agent cloud

[AINews] OpenAI’s Patch the Planet program is 1 of 2 parties to discover PHP2Shell vulnerabilities in core PHP affecting 70% of the web, using GPT-5.6 Sol; coordinated response over 2 months

The Big Hardening begins

TechCrunch · AI

Chinese hackers spied on thousands of companies after breaching IT giant ConnectWise

Microsoft points the blame for ConnectWise's breach at a China-aligned hacker, which relied on AI agents to rapidly hack into thousands of its customers.

Anthropic takes on Grok Bot, Meta's Muse, and OpenAI's Dots with its always-on agent "Claude Duet"

Anthropic has launched Claude Duet, a proactive AI agent that handles tasks on its own, even when the user is offline. The app is built on Claude Opus 5.5 and connects to services like Gmail, Slack, and Stripe through more than 6,000 connectors. It asks for approval before sensitive actions like payments. With Duet, Anthropic is responding to similar products from xAI, Meta, and OpenAI. The article Anthropic takes on Grok Bot, Meta's Muse, and OpenAI's Dots with its always-on agent "Claude Duet" appeared first on The Decoder .

AWS Machine Learning Blog

Stop guessing auto scaling targets for TTS on Amazon SageMaker AI

Teams deploying custom text-to-speech models on Amazon SageMaker AI often guess at autoscaling thresholds, and a wrong guess either wastes GPU spend or breaches a latency SLO. This post deploys Kokoro-82M as a custom container and derives a measured autoscaling policy from two live-endpoint measurements, Q_max and T_total, instead of guesswork.

AWS Machine Learning Blog

How Rescale built an AI triage agent with Strands Agents and AI-DLC

Rescale used the AI-Driven Development Lifecycle (AI-DLC) framework on AWS, with Strands Agents and Amazon Bedrock, to build an intelligent test-triage agent in weeks. Learn how AI-DLC structures AI-assisted development and how Rescale is scaling the practice across its engineering organization.

Only 13 percent of companies see real returns from AI, Gartner survey finds

Only 13 percent of companies are getting real business value from their AI investments, according to a Gartner survey of 2,002 CIOs. At the same time, 51 percent expect AI to actually increase their operating costs. Yet 75 percent of CEOs plan to keep raising their technology budgets. So far, strategic conviction is beating measurable results. The article Only 13 percent of companies see real returns from AI, Gartner survey finds appeared first on The Decoder .

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