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All news · Today70 items

All AI news

All collected and published items, ordered by time. Picks are a selected subset.
10/2Fri
  1. The Verge · AI60

    Amazon warns communities against blocking AI data-center construction

    Amazon called on the public to support AI data-center projects, warning that blocking construction would cause irreparable harm to the U.S. economy and national security. AWS CEO Matt Garman addressed concerns about jobs, power demand, and environmental impact in a blog post of more than 3,000 words. He said more than 100 data-center bans are under consideration nationwide and cited reports that some countries are spreading false information about data centers in the United States.

  3. The Verge · AI58

    Suno launches speech generation, producing voice and music together

    Suno launched Speech, a voice-generation feature now in public beta on its web and mobile apps. It generates a voice from a script or text prompt together with matching background music. The feature has Simple and Advanced modes; Advanced lets users customize the script and adjust the AI voice's gender, speaking style, and generation variety. Clips can be up to about 8 minutes, and background music can be switched off.

  7. MIT Technology Review · AI38

    Don't be fooled by LLMs: large language models do not truly reason

    A former Google DeepMind researcher says an LLM's chain of thought is simply an extended iteration of the same next-token prediction process, not an independent reasoning mechanism like AlphaGo's. He identifies three major limitations: no persistent, inspectable cognitive state; knowledge and reasoning tangled together in the weights; and chains of thought that are often fabricated after the fact. He argues for borrowing AlphaGo's game-tree architecture to give machine reasoning an explicit cognitive state.

  9. The Decoder78

    Black Forest Labs releases Flux 3 Image with multi-step editing

    Black Forest Labs released Flux 3 Image, an image model in the Flux 3 family. The company says it supports multi-step editing without changing other parts of an image and covers text-to-image, image-to-image, text rendering, and photorealistic generation.

    Why it matters: Flux 3 Image combines multi-step editing with 4K output and a reference-image limit, allowing comparison with Ideogram 4.5 on the pace of competition in image-editing models.

  13. Hugging Face Blog42

    ServiceNow CoreAI launches AutoSynthData to generate training data for enterprise agents

    ServiceNow CoreAI built AutoSynthData to find capability gaps from a target model's failures and a stronger teacher's successful trajectories, then generate and validate new tasks for post-training. As the model improves, the curriculum shifts to tasks that remain difficult. The process was demonstrated on the EnterpriseOps Gym dataset. Generated tasks must meet feasibility, realism, and difficulty requirements; validators must provide consistency, reliability, and completeness.

  14. 雷锋网22

    Former Cambricon executive Liang Jun raises claim to RMB 27.832 billion after losing six consecutive cases

    Former Cambricon executive Liang Jun has lost six consecutive lawsuits in an equity-incentive dispute with the company and recently raised his labor-dispute claim from RMB 4.287 billion to RMB 27.832 billion. The shares involved are now subject to judicial enforcement following the losses. Cambricon says the case has no effect on its day-to-day R&D or operations. Revenue in the first half of 2026 was RMB 5.996 billion, up 108.13% year over year.

  15. Sundar Pichai · X49

    Pichai calls SynthID Bio a big step for scientific integrity and biosecurity

    In a busy week, SynthID Bio, our watermarking tech for AI-designed proteins, was a big big step forward for scientific integrity and biosecurity! Congrats to the team @GoogleDeepMind Quoted post by @GoogleDeepMind: SynthID Bio is our new family of watermarking methods made for AI-generated biological designs. In a world first, we can now embed an imperceptible signature directly into protein sequences without affecting their biological function. 🧵

  16. Andrej Karpathy · X62

    Karpathy shares four prompting techniques for understanding model outputs

    Andrej Karpathy shared several ways to ask LLMs to make their outputs easier to understand: write using the ASD-STE100 controlled-language standard or relax it to 80%; generate diagrams; output an interactive webpage in HTML; or make a custom explainer video, for example with voiceover using an ElevenLabs API key. He thinks that as models improve, more work will move up to supervision and understanding, and models will be able to create large custom software artifacts that previously were not worth making.

  18. Sundar Pichai · X18

    I remember the first meeting where the team pitched the idea of putting compute in space - exciting idea! Today's successful launch with our partner @planet prototype satellite shows how far we've come...and how far there is to go. Thanks for the lift, @SpaceX, another spectacular booster landing too🚀

    I remember the first meeting where the team pitched the idea of putting compute in space - exciting idea! Today's successful launch with our partner @planet prototype satellite shows how far we've come...and how far there is to go. Thanks for the lift, @SpaceX, another spectacular booster landing too🚀

  23. Boris Cherny · X76

    Claude Code adds mods for customizing behavior, UI, and features

    Boris Cherny says users can now customize how Claude works and looks just by prompting it. He argues that different working styles call for different Claude experiences and encourages sharing mods as plugins. In the quoted announcement, @ClaudeDevs says Claude Code mods can change behavior, customize the UI, and add users’ own features; users can write them with a few lines of TypeScript or have Claude build them, then install them with /plugin in the CLI or desktop app.

    Why it matters: Packaging customizations as shareable plugins lets people with different working styles exchange changes to Claude Code’s behavior, interface, and features through the same installation workflow.

  25. TechCrunch · AI66

    OpenAI separates from three safety researchers, WSJ reports

    The Wall Street Journal reports that OpenAI separated from three members of its safety team over allegations that they violated company policy by sharing sensitive company information with a third-party AI safety organization. An OpenAI spokesperson said an internal investigation confirmed they handled sensitive information outside established company processes, violated policy, and undermined trust. The report did not identify the researchers, the organization, or the information involved. The news came two days after The New York Times reported that OpenAI executives had ignored employees' warnings about its safety practices.

  26. The Decoder62

    Ideogram releases Ideogram 4.5, saying it can edit part of an image without affecting the rest

    Ideogram released Ideogram 4.5, which the company says changes only the area specified by the user while leaving the rest intact, avoiding artifacts after repeated edits. It offers four quality tiers priced from $0.008 to $0.22 per image, all in native 2K resolution. The model is available on Ideogram's platform and API, with partners including Picsart, Runway, Pika, and Leonardo AI. The company says an open-weight version is coming.

  27. TechCrunch · AI38

    Graphite study: Claude Opus 5.5 says 'this matters' most; GPT models' writing is moving further from human style

    A Graphite study found that Claude Opus 5.5 uses 'this matters' 116 times more often than people and 'why X matters' 92 times more often. Its most distinctive word is 'dependable', used 23 times more often. OpenAI's Astra favors corrective frames such as 'another dimension' and 'not simply X'; the latter appears more than 100 times as often as in human writing.

  30. AWS Machine Learning Blog32

    How Amazon Payments uses contextual multi-armed bandits on Amazon SageMaker AI to improve acquisition funnel conversion

    Amazon Payments used a multi-objective contextual multi-armed bandit (LinUCB) on Amazon SageMaker AI to personalize content in its product-acquisition funnel. In a seven-week online A/B test, one audience segment achieved a high-single-digit relative increase in final funnel conversion, while another showed no improvement. The team ran one LinUCB model for each stage—application start, submission, and approval—and linearly combined their UCB scores to optimize the full funnel. It open-sourced a repository that can be tried with synthetic data.

  32. Google DeepMind · X22

    Google DeepMind podcast explores AI content provenance and watermarking

    When AI-generated content becomes so realistic, how can we verify what was created by people, machines, or nature? In our podcast, we explore the critical role of provenance—and how imperceptible watermarks can protect both digital media and biological designs. ↓ Timestamps: 00:00 Introduction 00:34 What is watermarking? 04:35 SynthID 15:16 Images and video 19:28 SynthID Bio 28:00 A resilient future

  33. Simon Willison32

    pwasm 0.2a0 released: Claude Opus 5.5 improves pure-Python WebAssembly engine

    Simon Willison's pure-Python WebAssembly engine pwasm reached version 0.2a0 after Claude Opus 5.5 took over and made 42 commits. It now supports almost the entire WASM specification. The PyPI wheel bundles working WASM builds of MicroPython, QuickJS, and Micro QuickJS. This release is still alpha, and the author says it is completely untrusted.

  35. TechCrunch · AI60

    Shopify launches Canvas, letting AI build online stores through conversation

    Shopify released Canvas, a store-building tool that lets merchants build a storefront by talking to the Sidekick AI agent. Canvas renders the store's actual code in real time rather than a static preview, so merchants can test page interactions and animations and inspect how it looks at different screen sizes. Sidekick also takes screenshots to keep track of what it sees. Shopify gave Sidekick direct access to theme files and simplified the theme architecture. Merchants can still click individual elements to edit them. The product is in an early stage.

  37. AWS Machine Learning Blog36

    How to configure multi-environment access to Claude Platform on AWS

    A complete implementation for Claude Platform on AWS (CPonAWS) lets production AWS workloads, developer laptops, and external CI/CD systems share one subscription while isolating production and development traffic through workspaces. It uses three access paths: a dedicated AI Services account with cross-account SigV4, workspace-level API keys, and OIDC federation. External environments use short-lived credentials and require no persistent keys.

  38. AWS Machine Learning Blog34

    Build ambient agents with Amazon Bedrock AgentCore, from event-driven signals to human-in-the-loop workflows

    Amazon Bedrock AgentCore supports building 'ambient agents' that listen to event streams such as Amazon S3 event notifications, EventBridge rules, and Lambda triggers and perform tasks automatically. When needed, they pause for human approval through a single ask_human tool and resume from where they stopped.

  39. Mustafa Suleyman · X66

    Microsoft AI launches MAI-Transcribe-2-Streaming, topping AA-WER Streaming accuracy rankings

    Microsoft AI is launching MAI-Transcribe-2-Streaming, which Mustafa Suleyman calls the world's most accurate real-time transcription model. He claims it is 55% faster and 60% cheaper than ElevenLabs and invites developers to build agents on Microsoft's platform. In the quoted post, Artificial Analysis reports #1 rankings for final and first partial transcript accuracy on AA-WER Streaming, with final transcript WER of 2.5% at 0.13s after speech ends and streaming pricing of $0.54 per hour of audio.

    Why it matters: The quoted benchmark comparison pairs transcription accuracy with latency and pricing, giving readers concrete tradeoffs to consider when choosing a streaming speech model for agents.