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Open DesignDesign & 3D

OpenDesign is an open-source design workspace that can connect to local programming agents, use built-in model keys, or leverage cloud-based models, enabling the creation and editing of prototypes, web pages, presentations, and graphics within a design system; local software is free, while model services incur fees.

AI design tools分类推荐榜首Free entry availableView details JAXModels & infrastructure

JAX is a Python numerical computing library designed for accelerators, specifically tailored for high-performance array computations and large-scale machine learning. It efficiently executes the same code across multiple hardware backends, including CPUs, GPUs, and TPUs.

AI DEVELOPMENT PLATFORM分类推荐榜首Pricing unverifiedView details EvoMapAgents & automation

EvoMap is an infrastructure designed for the reuse of AI agent experiences. It organizes reusable strategies and repair assets with validation records via the GEP protocol, offering market- and quality-based ranking to help different agents discover, evaluate, and inherit existing capabilities.

分类推荐榜首Pricing unverifiedView details KiroCoding & development

Kiro is an AI engineering tool for developers that organizes requirements into specifications, architectures, and tasks, generates code via agents, and supports the entire workflow—from planning to code review—through property-based testing, execution memory, and integration with development tools.

AI programming tool分类推荐榜首Free entry availableView details MemoAIMusic & audio

MemoAI is an AI-powered audio-to-text tool that supports localized processing, eliminating the need to upload data and ensuring privacy and security. It can efficiently transcribe YouTube videos, podcasts, and local audio/video files (such as MP4, MP3, AAC, M4A, etc.) into text, while offering core features like multilingual translation, speaker diarization, real-time subtitles, and floating notes—making it ideal for meeting minutes, interview transcription, content learning, and more.

AI AUDIO TOOL分类推荐榜首Pricing unverifiedView details AI ShortWriting & content

AIS ALERT MANAGEMENT AND SHARED PLATFORM, QUICK COMMAND FOR MULTIPLE SCENARIOS

AI HINT COMMAND分类推荐榜首Pricing unverifiedView details Udacity AI学院Education & languages

Udacity AI Academy is the gateway to AI courses and learning paths, covering machine learning, deep learning, computer vision, natural language processing, and AI product management, with courses and project-based training available at both beginner and advanced levels.

AI learning website待评分 · 分类列表推荐Pricing unverifiedView details 闪剪Video & animation

FlashCut is an AI-powered creation platform for voice-over and short-video marketing. It can generate finished videos with voiceovers, subtitles, and visuals from text, offering digital human customization, photo-to-digital-human conversion, live-stream clipping, and intelligent editing. It also provides APIs and branded mini-program solutions for businesses.

待评分 · 分类列表推荐Pricing unverifiedView details FinBusiness & support

CLIENT-ORIENTED AI SMART BODY。

Customer serviceSmartClient services待评分 · 分类列表推荐Pricing unverifiedView details ElicitKnowledge & research

Elicit provides semantic search, research report generation, literature screening, and data extraction for scientific research. It enables traceable answers within source materials and organizes evidence through a literature library, research agents, and ongoing tracking workflows, making it ideal for advancing from initial problem exploration to systematic reviews.

paperLiteratureResearch待评分 · 分类列表推荐Free entry availableView details

AI, as it happens

1443 published stories
Meta / Llama · 120 storiesClear filters ×
2026-10-23
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02:15
TThe Verge · AI·News

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.

Industry updates# MediaRead original Timeline and related coverage
2026-10-22
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06:51
TTechCrunch · AI·News

Jas Kaira, Head of AI Business at Blackstone: Concerns about AI infrastructure debt are exaggerated.

Jas Kaira, head of Blackstone’s AI business, stated at the TechCrunch Disrupt conference that market panic over massive debt in the AI infrastructure sector has been overly amplified. His key argument is that this debt is largely backed by long-term contracts with high‑credit‑rating clients—such as Microsoft and Meta—and that the underlying assets (e.g., GPUs) possess strong collateral value, meaning the risk profile differs fundamentally from that of the 2008 banking system.

Chips, GPUs & hardware# MediaRead original Timeline and related coverage
06:45
TTechCrunch · AI·News

Meta plans to issue a new class of non-voting shares to raise funds for large-scale AI investments.

Meta plans to create a new class of non-voting common stock, which will be distributed to existing shareholders in the form of stock dividends, to support its ongoing massive investments in AI models, services, and infrastructure, while maintaining the control structure held by founders such as Mark Zuckerberg.

Funding & investment# MediaRead original Timeline and related coverage
05:14
TTechCrunch · AI·News

Meta confirms that the AI app Muse has surpassed 10 million users, with shopping emerging as its core use case.

During its Q3 2026 earnings call, Meta confirmed that the number of users of its AI agent app, Muse, has surpassed 10 million; approximately 25% of new users engage with it daily, with shopping being the most frequent activity—over a quarter of active shopping users spend more than $200 per transaction on average. Meanwhile, Plaid reported that its payment connector’s API calls on Muse have reached an all-time high.

Industry updates# MediaRead original Timeline and related coverage
03:30
TTechCrunch · AI·News

Walmart launches an AI-powered shopping gateway, supporting autonomous shopping workflows and enhancing user control.

Walmart has officially launched Agent Gateway (an AI agent gateway) along with its accompanying Agent Profiles feature, enabling authorized AI agents—such as ChatGPT, Gemini, Meta Muse, and others—to perform searches and place orders on behalf of users across Walmart and Sam’s Club platforms. User control over agent activities is ensured through mechanisms like independent account configuration, transaction approvals, and spending limits. This move stands in stark contrast to Amazon’s recent ban on AI‑powered shopping agents.

Model releases & updates# MediaRead original Timeline and related coverage
2026-10-21
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04:07
AArs Technica · AI·News

Meta removes the term “training” from its commercial service terms to quell AI controversy, but refuses to comply with the robots.txt standard.

In its updated Commercial Terms, effective October 30, 2026, Meta removed the term “train” in response to intense criticism of its AI data‑scraping policies; however, the company explicitly stated that it will not include language in the terms to respect the robots.txt protocol.

Policy, regulation & standards# MediaRead original Timeline and related coverage
01:40
AArs Technica · AI·News

Meta was ordered by a court to disclose the list of executives who approved the use of pirated downloads to train its AI.

In several copyright infringement lawsuits targeting Meta over AI training, courts have ruled that Meta must explicitly identify the executives who authorized the downloading of pirated books from shadow libraries such as Anna’s Archive and LibGen. Previously, Meta had shifted responsibility to frontline employees, claiming that its early AI data collection was an “informal process” and that no one had “formally decided” to carry out the downloads.

Copyright, privacy & ethics# MediaRead original Timeline and related coverage
2026-10-20
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20:33
AArs Technica · AI·News

Meta Muse’s sharing feature has a privacy vulnerability: the generated conversation links are easily enumerable, leading to the leakage of personal and business secrets.

Security firm Clarot discovered that Meta’s newly launched AI agent, Muse, generates URLs with insufficient randomness when the conversation-sharing feature is enabled, allowing attackers to obtain 6,800 user-shared links through simple enumeration; among these, hundreds of links exposed non-public personal and business-sensitive information. Meta has suspended this sharing feature and initiated a review.

Copyright, privacy & ethics# MediaRead original Timeline and related coverage
08:00
HHugging Face Official Blog·News

AnyLanguageModel 1.0 released: a unified Swift interface supporting both local and hosted models, compatible with the entire Apple platform family of operating systems 27

Hugging Face has officially released AnyLanguageModel 1.0, an open-source Swift framework fully compatible with the Apple Foundation Models API. It supports seamless switching between local models (MLX, llama.cpp, Core ML) and hosted models (OpenAI, Anthropic, Gemini, Hugging Face Inference Providers, etc.), and introduces new features such as image input, tool invocation, guided generation, and automatic adaptation of inference chunks.

Inference systems & deploymentRead original Timeline and related coverage
02:22
MMIT Technology Review · AI·News

Optimizing the internet for AI agents may make it harder for ordinary users to navigate the web.

With the large-scale launch of personal AI agent apps like OpenAI Dots and Meta Muse, AI agents are emerging as the third category of web visitors, following humans and traditional web crawlers. They perform tasks entrusted by real users—such as booking rooms or comparing prices—at machine speed, but because they don’t fit within the existing “human–machine” dichotomy, they’ve been widely blocked by platforms like Pizza Hut, Yelp, and Amazon. If agent traffic continues to grow, websites may shift toward prioritizing AI agents—for example, Shopify has already created a dedicated checkout channel for them—which could lead to worse interfaces, more frequent verification steps, dynamic pricing, and distorted recommendations for human users. The key issue right now is the still‑unsettled regulatory framework: should agents be allowed to enhance consumers’ bargaining power, or should companies be permitted to keep them out?

Industry updates# MediaRead original Timeline and related coverage
2026-10-17
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15:47
LLatent Space·News

AINews Premium Review Issue 1: Surge in Open-Source Models, Tightening Geopolitical Regulations, and Controversy over Capability Verification

This issue focuses on key developments in the AI field in late October 2026: Meta unveiled its multimodal MoE model, Muse; Spark Open has been met with skepticism and labeled “dead”; performance, licensing, and deployment ecosystems among China, the U.S., and Europe are becoming increasingly divergent; China plans to introduce a draft export control regulation covering 23 categories of AI technologies; and several cutting-edge models have been released, accompanied by unverified performance claims and security concerns.

Policy, regulation & standards# IndividualRead original Timeline and related coverage
2026-10-16
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23:41
AArs Technica · AI·News

Meta plans to sidestep AI training content licensing fees by adopting a new version of its commercial terms of service.

Meta will implement its new Commercial Terms on October 30, 2026, mandating that business accounts permit its crawlers to collect and use content for AI training—covering all website content linked by users to Meta’s platforms, with no opt-out mechanism. Legal experts warn that this move could amount to a unilateral expansion of authorization over third-party content, including that of news publishers.

Industry updates# MediaRead original Timeline and related coverage
2026-10-15
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2026-10-13
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07:58
SSimon Willison·News

llm-meta-ai 0.2

Release: llm-meta-ai 0.2 Meta AI release Muse Wonder (and Muse Wonder Full), their new "most capable models". These look like they may be Meta's first Fable class models - Artificial Analysis scores Muse Wonder (Max) as equivalent to GPT-6.1 Sol. I updated my llm-meta-ai plugin for the new model. Here are pelicans for Muse Wonder for the six reasoning levels: minimal, low, medium, high, xhigh, max. This is the max one: For comparison, here are pelicans for Muse 1.3 (released September 2nd) and Muse 1.2 (released August 5th). Meta AI are putting out a new model a month, and the improvements between each model (at least in terms of drawing pelicans) are material. Tags: ai, generative-ai, llms, meta, pelican-riding-a-bicycle, llm-release

Model releases & updates# IndividualRead original Timeline and related coverage
2026-10-07
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2024-09-25
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2024-07-25
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08:00
OOllama·News

Tool support

Ollama now supports tool calling with popular models such as Llama 3.1. This enables a model to answer a given prompt using tool(s) it knows about, making it possible for models to perform more complex tasks or interact with the outside world.

Inference systems & deploymentRead original
2024-04-25
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13:33
QQwen·News

Qwen1.5-110B: The First 100B+ Model of the Qwen1.5 Series

GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Introduction Recently we have witnessed a burst of large-scale models with over 100 billion parameters in the opensource community. These models have demonstrated remarkable performance in both benchmark evaluation and chatbot arena. Today, we release the first 100B+ model of the Qwen1.5 series, Qwen1.5-110B, which achieves comparable performance with Meta-Llama3-70B in the base model evaluation, and outstanding performance in the chat evaluation, including MT-Bench and AlpacaEval 2.

Model evaluations & benchmarksRead original
2024-04-19
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