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DE STAAT - FREEDOM (Official Music Video)

DE STAAT - FREEDOM (Official Music Video) OK well this is a first for me... at 00:44 in this new music video by Dutch alternative rock band De Staat: The visual effects are credited to Matties Grooten of Fake it or Leave it. Via flir on Hacker News Tags: music, ai, generative-ai, pelican-riding-a-bicycle

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1Password launches the “AI Proxy Login” feature: AI can log in to accounts on behalf of users, without ever accessing their passwords.

On October 22, 2026, 1Password launched a new platform called “1Password for Agents,” which allows users to authorize AI agents—such as Claude Duet, ChatGPT Work, Grok Bot, and others—to log into their personal accounts on their behalf. The agents themselves cannot access, store, or view the original passwords; the entire process relies on digital identity verification, real-time user confirmation, and automatic password filling by the password manager.

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Canva has launched its first in-house image-generation model, Canva Craft, which is now available to all users.

Canva has officially launched its first in-house image-generation model, Canva Craft, which employs a two-stage generative architecture, supports 2K resolution and output in 30 aspect ratios, and emphasizes text readability and layer editability. The model was trained on millions of human-designed templates within the platform and has already been integrated into Dream Lab and the API; going forward, it will be accessible via MCP to third-party chatbots such as ChatGPT and Gemini.

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OpenAI officially launches the Decisions API decision-making model, directly competing with TypeSafe Jev.

OpenAI will make the Decisions API available to all customers around October 22, 2026. This model is rebuilt on top of ChatGPT Luna and emphasizes millisecond-level low latency and cost-effective inference, with advantages in multimodal tasks such as image understanding. Currently, it lags behind competitors like the latest Jev and D1 Ultra in mainstream decision-making model benchmarks, but has already been adopted in real-world testing by companies including Box, Datadog, and Speak.

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The Cornerstone of Scalable AI: Building Responsible Systems in Regulatory Environments

MIT Technology Review’s EmTech Future conference delves into the five pillars for building scalable AI systems in a heavily regulated environment—data, engineering, platforms, business models, and governance—and underscores how trustworthy, responsible deployment can transform emerging capabilities such as agentic AI into sustainable investment value.

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Microsoft’s MAI-DxO system achieves 83% accuracy in diagnosing complex cases, but most of the improvement stems from the underlying large model.

According to research published in Science, Microsoft’s AI diagnostic system MAI-DxO achieved an accuracy of 83% in simulating the diagnosis of complex cases, significantly outperforming general practitioners at 36%; however, analysis indicates that this performance improvement stems primarily from the advanced foundation models it leverages—such as GPT-5.5—while the marginal gains attributable to its proprietary DxO orchestration architecture are limited, and no clear advantages were observed in routine settings like emergency departments.

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Meta is vigorously promoting the Muse AI agent network: humans will primarily communicate with one another through AI agents.

Mark Zuckerberg is vigorously advancing a vision of the future built on autonomous AI agents—Muse will shop, work, and even engage in conversations with other AI agents on behalf of users. This vision gained attention following Meta’s Q3 2026 earnings call; Muse was made available to the public last month, though its actual capabilities and large-scale deployment remain in the early stages.

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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 skills t

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Major upgrade to Amazon Polly’s generative engine: 14 new voices added, and for the first time, support for Hindi and Finnish generative speech, with zero-code migration.

Amazon Polly’s generative engine has undergone a major upgrade, significantly enhancing speech naturalness, accuracy, and emotional expressiveness, while supporting low-latency streaming synthesis. Fourteen new generative voices have been added, covering nine regions, and for the first time, generative voices in Hindi (Arjun, Kiara) and Finnish (Suvi) are universally available. The entire update is a seamless, drop-in replacement, requiring no changes to API calls or code.

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IskayPet builds a multilingual enterprise knowledge assistant based on the Amazon Bedrock-hosted knowledge base.

Spanish pet-care company IskayPet leveraged Amazon Bedrock Managed Knowledge Bases to build an enterprise-grade knowledge assistant—covering Spain, Portugal, and France, and supporting four languages (Spanish, Portuguese, French, and English)—without needing to develop its own RAG infrastructure. The assistant supports business scenarios such as retail, veterinary care, onboarding, and procurement.

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Amazon SageMaker AI has launched GPU-free managed model training sessions, now generally available.

AWS has announced that SageMaker AI’s serverless model customization feature now includes “Training Sessions,” which are fully available starting today. Users can independently define post-training logic—such as custom loss functions, reward signals, or multi‑round reinforcement learning—while the platform automatically handles GPU allocation, distributed execution, fault tolerance, and checkpoint storage.

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Amazon SageMaker launches the Training Session API: users can write custom training loops for large models without managing GPUs.

Amazon SageMaker has released the Training Sessions API, enabling users to implement custom large-model training workflows—such as SFT, RLHF, GRPO, and KTO—using pure Python scripts. GPU resource scheduling, fault tolerance, distributed execution, and checkpoint management are all handled by the service.

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Microsoft claims its AI diagnostic tool achieves accuracy up to four times that of human doctors, with the related research published in the journal Science.

Microsoft AI CEO Mustafa Suleyman told The Verge that the company has developed an AI diagnostic tool whose accuracy in testing for multiple diseases is up to four times that of human doctors; the findings were published in the top-tier journal Science, based on a comparative evaluation of real-world medical cases and emergency‑room data against Microsoft’s proprietary benchmark (name not fully disclosed).

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Amazon Quick has obtained HIPAA qualification, but compliance responsibility still rests with the customer.

Amazon Quick is an HIPAA‑compliant service offered by AWS that enables healthcare organizations to process Protected Health Information (PHI) upon signing a Business Associate Agreement (BAA); however, compliance with HIPAA does not equate to full regulatory compliance. Customers must rigorously manage its PHI processing workflows, encryption mechanisms, logging policies, and irreversible configuration requirements.

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Amazon SageMaker launches the Kokoro-82M TTS model, supporting low-latency streaming speech synthesis for AI voice agents.

AWS has released a technical solution that leverages the Kokoro-82M text-to-speech model hosted on SageMaker, using bidirectional WebSocket to enable AI agents to generate text and synthesize speech simultaneously, significantly reducing end-to-end speech response latency. The solution offers two audio back‑transmission methods—Base64‑SSE and unified binary transmission—and is explicitly labeled as “proof-of-value,” meaning it has not yet reached production‑ready status.

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