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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
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
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
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
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
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
FinBusiness & support

CLIENT-ORIENTED AI SMART BODY。

Customer serviceSmartClient services待评分 · 分类列表推荐Pricing unverifiedView details
IamIPIndustry applications

IamIP is a patent platform that provides AI-driven search, analysis, and monitoring tools to help users conduct patent research and management more efficiently.

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

1296 published stories
2026-10-28
Follow the timeline
11:32

Former Meta AI Director Launches Ndoc: A Direct Competitor to Microsoft Office and Google Workspace

Former Meta AI Director Rohit Patel has launched the AI productivity company Ndoc, along with its eponymous all-in-one office platform, challenging Microsoft Office and Google Workspace. Rather than embedding chatbots into traditional spreadsheets, the platform builds a workspace from scratch, featuring three distinct tabs labeled “Stages,” “Narrative,” and “Models.” On the “Models” tab, users can upload raw datasets, generate analytical reports complete with visible Python scripts, and leverage the built-in AI chat feature for explanations.

Enterprise & work applicationsRead original Timeline and related coverage
09:58

b11946

server : add realtime conversation and transcription on /v1/realtime (#31269) * server : add realtime conversation and transcription on /v1/realtime Co-authored-by: Xuan Son Nguyen Assisted-by: Claude Opus 5.5 * examples : default the realtime client to the server port 9931 Assisted-by: Claude Opus 5.5 * server : sample realtime responses right after their own decode Slots respond in turns on one context: sampling at the start of the next step read the logits of whichever slot decoded last, so concurrent sessions mixed their outputs. Assisted-by: Claude Opus 5.5 * move more stuff to server-realtime, making it self-contained * examples : fix the type check of the realtime client Assisted-by: Claude Opus 5.5 * examples : use the model card prompts in the realtime client Assisted-by: Claude O

Inference systems & deploymentRead original Timeline and related coverage
09:42

Opera launches the WebAI standard, enabling AI models to run natively in the browser

Opera has introduced a new web standard called WebAI, designed to allow users to run AI models directly in their browsers without relying on cloud services. This standard is compatible with multiple models; Opera demonstrated it using Google’s open-source Gemma model and also supports Apple’s on-device foundation models. By not being tied to any specific model and targeting open-weight AI systems, WebAI represents a continuation of Opera’s earlier efforts to enable large language models to run locally within the browser. Currently, WebAI is available as a preview feature in Opera One, Opera’s flagship browser, though users must manually enable it.

Open models & weightsRead original Timeline and related coverage
09:41

b11945

model : add LiquidAI/d1-2B and LiquidAI/d1-omni-2B (#31275) * model : add LiquidAI/d1-2B and LiquidAI/d1-omni-2B Assisted-by: Claude Opus 5.5 * convert : keep the speech task templates out of the d1 GGUFs Assisted-by: Claude Opus 5.5 * small refactoring: no_batching --------- Co-authored-by: Xuan Son Nguyen **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b11945/llama-b11945-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b11945/llama-b11945-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b119

Inference systems & deploymentRead original Timeline and related coverage
09:36

Bank of America Issues Security Warning: Strictly Prohibit Sharing Bank Passwords with AI Assistants

Bank of America has sent customers a warning email titled “Protecting Your Finances in the World of Artificial Intelligence,” urging them not to share their bank account usernames, passwords, or related credentials with any third-party AI tools or proxy services claiming to act on behalf of individuals. As personal AI assistants and proxy payment tools become more widespread, some users entrust their login information for automated shopping or price comparisons, a practice that poses serious security and compliance risks and could jeopardize both funds and privacy.

Copyright, privacy & ethicsRead original Timeline and related coverage
09:24

b11944

server: expose the reasoning effort levels of the chat template (#31271) * server: expose the reasoning effort levels of the chat template The capability probe renders a user turn for each candidate level (minimal, low, medium, high, xhigh, max) and for an unknown level. A level is honored when it renders without raising and differently from the unknown level, which shows the template fallback. Levels sharing a render are aliases and the highest one is kept. The caps serialize to JSON, and chat_template_caps in /props reports the list as reasoning_effort_levels, from lowest to highest. * jinja: keep the caps free of the json dependency The caps keep reporting their flags as a map, and the effort levels stay a plain member. common_chat_templates_get_caps() builds the JSON the server reports

Inference systems & deploymentRead original Timeline and related coverage
09:10

Google introduces cutting-edge Genie 4 world model

Google LLC today previewed Genie 4, an artificial intelligence model that can generate realistic three-dimensional environments. The algorithm is the latest addition to a series of world models that the company launched in 2024. Compared to its predecessor, Genie 4 is better at rendering fluid movements and other complex details. Furthermore, it can generate accompanying […] The post Google introduces cutting-edge Genie 4 world model appeared first on SiliconANGLE.

Industry updatesRead original Timeline and related coverage
09:03

b11941

model : add LiquidAI/LFM3-Audio-2B and LiquidAI/LFM3-Omni-2B (#31257) * model : add LiquidAI/LFM3-Audio-2B and LiquidAI/LFM3-Omni-2B Co-authored-by: Xuan Son Nguyen Assisted-by: Claude Opus 5.5 * convert : read the LFM3-Audio config.json as released A transformers that knows lfm3_audio rewrites the config into another layout (no lfm/encoder keys). Assisted-by: Claude Opus 5.5 * mtmd : disable flash attention for the LFM3-Audio depthformer Assisted-by: Claude Opus 5.5 * tts : add a voice option for LFM3-Audio and LFM3-Omni The model card offers a female and a male voice; --tts-voice for llama-tts, "voice" for the server /tts. Assisted-by: Claude Opus 5.5 * clean up template handling * convert : detect LFM3-Audio and LFM3-Omni by model_type Assisted-by: Claude Opus 5.5 * move banned tokens -

Inference systems & deploymentRead original Timeline and related coverage
08:32

b11940

common : support deferred tools and tool_reference content parts (#31256) * common : support deferred tools and tool_reference content parts Assisted-by: Claude Opus 5.5 * common : credit the deferred tools co-author Co-authored-by: Aldehir Rojas <765227+aldehir@users.noreply.github.com> Assisted-by: Claude Opus 5.5 * tests : fix the type check of the deferred tools test Assisted-by: Claude Opus 5.5 **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b11940/llama-b11940-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b11940/llama-b11940-bin-maco

Inference systems & deploymentRead original Timeline and related coverage
07:57

b11938

model : add LiquidAI/LFM3-1.7B and LiquidAI/LFM3-VL-2B (#31252) * model : add LiquidAI/LFM3-1.7B and LiquidAI/LFM3-VL-2B Co-authored-by: Sigbjørn Skjæret Co-authored-by: Xuan-Son Nguyen Assisted-by: Claude Opus 5.5 * tests : set the SWA rope base of the LFM3 test model Assisted-by: Claude Opus 5.5 * llama : enable recurrent state rollback for LFM3 Assisted-by: Claude Opus 5.5 * Apply batched suggestions from code review Co-authored-by: Sigbjørn Skjæret Co-authored-by: Tarek Dakhran * gguf-py : align the lfm3vl mapping comments Assisted-by: Claude Opus 5.5 * llama : fix CRLF line endings from the review suggestions Assisted-by: Claude Opus 5.5 * tests : add the LFM3 Metal fusion baseline Assisted-by: Claude Opus 5.5 * llama : keep the LFM3-VL depthwise conv kernels in F32 when quantizing As

Inference systems & deploymentRead original Timeline and related coverage
07:33

Oracle brings Google’s TPUs to its cloud, adds ChatGPT integrations

Oracle Corp. today announced plans to make Google LLC’s TPU artificial intelligence accelerators available through its public cloud. The initiative marks the first time the search giant is supplying the chips to another hyperscaler. According to CNBC, Oracle will also add Cerebras Systems Inc.’s wafer-scale accelerators and OpenAI Group PBC’s Jalapeño inference processor. The latter […] The post Oracle brings Google’s TPUs to its cloud, adds ChatGPT integrations appeared first on SiliconANGLE.

Data centres & cloud computeRead original Timeline and related coverage
06:59

Trump says he will ban the term “artificial intelligence,” demanding it be replaced with “superintelligence.”

According to a Reuters report on October 28, Beijing time, U.S. President Trump stated on Tuesday local time that he would soon prohibit the use of the term “artificial intelligence” (AI) in relevant documents and other contexts, requiring instead the use of “superintelligence” (Super Intelligence...

Policy, regulation & standards# AI# Tencent NewsRead original Timeline and related coverage
06:16

Dell expands cyber recovery tools to protect identity

Restoring data after a cyberattack isn’t enough if the identity systems that control access are compromised. Dell Technologies Inc. is extending its cyber recovery tools to cover those systems, putting identity resilience alongside data protection. That gap is widening as AI ties data, identity, infrastructure and applications into interdependent systems, making data protection a core […] The post Dell expands cyber recovery tools to protect identity appeared first on SiliconANGLE.

Industry updatesRead original Timeline and related coverage
05:54

Meet LEANN: An Open-Source Vector Index that Shrinks a 60M-Chunk RAG Index from 201 GB to 6 GB

UC Berkeley’s LEANN vector index stores a pruned graph and recomputes embeddings at query time. It matches HNSW accuracy at 90% recall using 4 GB instead of 188 GB, at the cost of seconds-level search. The post Meet LEANN: An Open-Source Vector Index that Shrinks a 60M-Chunk RAG Index from 201 GB to 6 GB appeared first on MarkTechPost.

RAG & knowledge systemsRead original Timeline and related coverage
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