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Models / 01NVIDIA has released the large-scale speech transcription model Nemotron 3.5 Transcribe, which can accurately recognize speech even when eight people speak simultaneously.AIBase AI News
01 / IN FOCUS

NVIDIA has released the large-scale speech transcription model Nemotron 3.5 Transcribe, which can accurately recognize speech even when eight people speak simultaneously.

AIBase AI News
Apple CEO says the company doesn’t ‘want to ship AI for AI’s sake’
02 / IN FOCUS

Apple CEO says the company doesn’t ‘want to ship AI for AI’s sake’

TechCrunch · AI
Judge allows NAACP lawsuit over xAI data center pollution to move forward
03 / IN FOCUS

Judge allows NAACP lawsuit over xAI data center pollution to move forward

TechCrunch · AI
Meet Factory Droid 1.0: A Model-Independent Coding Agent Harness Built on Script Mode
04 / IN FOCUS

Meet Factory Droid 1.0: A Model-Independent Coding Agent Harness Built on Script Mode

MarkTechPost
Vercel Labs Open-Sources agent-desktop for Agent Computer Use
05 / IN FOCUS

Vercel Labs Open-Sources agent-desktop for Agent Computer Use

MarkTechPost
Compute & infrastructure / 06Sam Altman says it’s better for RAM to be in a data center than on your deskThe Verge · AI
06 / IN FOCUS

Sam Altman says it’s better for RAM to be in a data center than on your desk

The Verge · AI
The biggest names in AI are backing a new way to opt out of scraping
07 / IN FOCUS

The biggest names in AI are backing a new way to opt out of scraping

The Verge · AI
Safety & governance / 08MIT affiliates named 2026 Schmidt Sciences AI2050 FellowsMIT News AI
08 / IN FOCUS

MIT affiliates named 2026 Schmidt Sciences AI2050 Fellows

MIT News AI
Safety & governance / 09Q&A: Hey AI, who should I vote for this year?MIT News AI
09 / IN FOCUS

Q&A: Hey AI, who should I vote for this year?

MIT News AI
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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
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
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
EvoMapAI Agents & 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
WhisperAI VOICE RECOGNITION

由OpenAI开发的通用语音识别模型。

Translation queued · Original text · zh分类推荐榜首Pricing unverifiedView details
AutoGPTModels & Infrastructure

AutoGPT currently uses an AI expert team as its primary product entry point, with Otto coordinating roles such as content, sales, and research. It can execute tasks through dialogue, skills, and workflows, schedule repetitive work, and set spending controls, while also retaining visual workflows and self-hosting options.

AI TRAINING MODEL分类推荐榜首PaidView 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
RowsData & Analytics

Rows is a spreadsheet tool that combines AI analytics, data integration, and interactive reporting, enabling you to organize documents and business data using natural language, merge datasets, generate reports, and build computational models. The official website currently indicates that it has been integrated with Superhuman and provides a corresponding link to continue using the service.

DATA PROCESSING FOR AI FORMS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
IP AuthorLegal and financial

IP Author is an AI-driven patent writing software that provides patent writing, search, and response to office actions for company patent teams and law firms.

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AI, as it happens

1757 published stories
Software release · 97 storiesClear filters ×
2026-11-01
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05:35

llama.cpp · b12024

reshaping so mm on 2d instead of 3d tensor for lfm sc (#30831) **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12024/llama-b12024-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/b12024/llama-b12024-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12024/llama-b12024-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12024/llama-b12024-bin-ubuntu-x64.tar.gz) - [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12

Inference systems & deploymentRead original Timeline and related coverage
02:59

llama.cpp · b12022

server : fix /v1/responses endpoint to accept extra_params (#30959) **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12022/llama-b12022-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/b12022/llama-b12022-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12022/llama-b12022-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12022/llama-b12022-bin-ubuntu-x64.tar.gz) - [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/downloa

Inference systems & deploymentRead original Timeline and related coverage
02:42

llama.cpp · b12021

mtmd : resize Gemma 4 images without letterbox padding (#30922) * mtmd : resize Gemma 4 images without letterbox padding * Apply suggestion from @ngxson --------- Co-authored-by: Xuan-Son Nguyen **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12021/llama-b12021-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/b12021/llama-b12021-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12021/llama-b12021-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/do

Inference systems & deploymentRead original Timeline and related coverage
2026-10-31
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16:07

llama.cpp · b12020

opencl: add fwht (#31434) Co-authored-by: Li He **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12020/llama-b12020-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/b12020/llama-b12020-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12020/llama-b12020-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12020/llama-b12020-bin-ubuntu-x64.tar.gz) - [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12020/llama-b1202

Inference systems & deploymentRead original Timeline and related coverage
13:19

llama.cpp · b12019

chat : strip the think block in the qwen3-coder with reasoning_format none (#31380) * chat : accept the think block in the qwen3-coder response format with reasoning_format none Assisted-by: Claude Opus 5.5 * chat : define both qwen3-coder think block variants up front **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12019/llama-b12019-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/b12019/llama-b12019-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12019/llama-b12019-xcframework.zip) **Linu

Inference systems & deploymentRead original Timeline and related coverage
10:21

llama.cpp · b12018

sycl: fix f32 to q2_0/q4_0/q5_0 rounding in CPY (#31120) **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12018/llama-b12018-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/b12018/llama-b12018-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12018/llama-b12018-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12018/llama-b12018-bin-ubuntu-x64.tar.gz) - [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12018/ll

Inference systems & deploymentRead original Timeline and related coverage
2026-10-30
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21:50

b12007

kv-cache : keep rotation constants on the GPU (#31073) * kv-cache : keep rotation constants on the GPU Assisted-by: Codex * tests : verify resident KV rotation buffers Assisted-by: Codex * kv-cache : document remaining multi-device rotation work Assisted-by: Codex * kv-cache : support per-layer rotation buffers Assisted-by: Codex * kv-cache : fix hybrid SWA rotation inputs and mixed placement check Assisted-by: Codex * models : use per-layer rotation in mistral-large4 and dflash * tests: drop the rotation buffer tests --------- Co-authored-by: Pascal **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12007/llama-b12007-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](ht

Inference systems & deploymentRead original Timeline and related coverage
20:45

b12005

opencl: add initial q2_0 support (#31340) * opencl: add q2_0 AOS mv Co-authored-by: Shaofei Qi Assisted-by: Codex * opencl: add q2_0 SOA mv and tiled mm Co-authored-by: Shaofei Qi Assisted-by: Codex * opencl: add q2_0 noshuffle gemm/gemv for adreno Assisted-by: Codex * opencl: add q2_0 dp4a for adreno * opencl: optimize q2_0 adreno decode and narrow batches --------- Co-authored-by: Li He **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12005/llama-b12005-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/b12005/llama-b12005-bin-macos-x64.tar.g

Inference systems & deploymentRead original Timeline and related coverage
19:00

b12002

ggml : add batched tensor copy API (#30881) * ggml : add generic batched tensor copy API Assisted-by: pi:llama.cpp/ggml-org/DeepSeek-V4-Flash-Vision-Exp-GGUF (Mac Studio, M2 Ultra, 192GB) * llama : use batched tensor copy API in context io Assisted-by: pi:llama.cpp/ggml-org/DeepSeek-V4-Flash-Vision-Exp-GGUF (Mac Studio, M2 Ultra, 192GB) * ggml : add batched tensor copy API Assisted-by: pi:llama.cpp/ggml-org/DeepSeek-V4-Flash-Vision-Exp-GGUF (Mac Studio, M2 Ultra, 192GB) * llama : batch device io tensor copies Assisted-by: pi:llama.cpp/ggml-org/DeepSeek-V4-Flash-Vision-Exp-GGUF (Mac Studio, M2 Ultra, 192GB) * ggml : add CUDA support for batched tensor APIs Assisted-by: pi:llama.cpp/ggml-org/DeepSeek-V4-Flash-Vision-Exp-GGUF (Mac Studio, M2 Ultra, 192GB) * ggml : remove async tensor_n APIs a

Inference systems & deploymentRead original Timeline and related coverage
16:44

n8n · n8n@1.123.91

## [1.123.91](https://github.com/n8n-io/n8n/compare/n8n@1.123.90...n8n@1.123.91) (2026-10-30) ### Bug Fixes * **core:** Fix $('Node') expressions returning null for legacy Code node output ([#42249](https://github.com/n8n-io/n8n/issues/42249)) ([18c89cd](https://github.com/n8n-io/n8n/commit/18c89cdf2eda635fbb892730189a2de1a48b46da))

n8n updatesRead original Timeline and related coverage
16:26

n8n@2.46.3

## [2.46.3](https://github.com/n8n-io/n8n/compare/n8n@2.46.2...n8n@2.46.3) (2026-10-30) ### Bug Fixes * **core:** Add a cooldown before resending migration owner reminders ([#42567](https://github.com/n8n-io/n8n/issues/42567)) ([724efc3](https://github.com/n8n-io/n8n/commit/724efc352f51a52910924789b79cf66770807e09)) * **core:** Resolve IMAP trigger expressions after activation ([#42612](https://github.com/n8n-io/n8n/issues/42612)) ([17594a7](https://github.com/n8n-io/n8n/commit/17594a7eefa42bc37f532af35c4f38eb1986bbc5)) * **core:** Return user data with an __isError key as data in expressions ([#42490](https://github.com/n8n-io/n8n/issues/42490)) ([9fe595e](https://github.com/n8n-io/n8n/commit/9fe595e1b83179b54ac5768d03c5f90f9c409f16)) * **editor:** Show the workflow project under its name

n8n updatesRead original Timeline and related coverage
12:25

b12000

Quant: OCP FP8 E4M3 support (#27512) * WIP OCP FP8 E4M3 support * Fix python type-checker * Materialize input_scales also for FP8 when converting * Fix conversion of https://huggingface.co/RedHatAI/Qwen3.8-27B-NVFP4 1. Per row FP8 wrongly fell to NVFP4 conversion, as NVFP4 checked on dims alone. Also check on dtype for FP8 2. Need to reshape FP8 QKV projections scales in the same way that weights are reshaped * Allow remaining FP8 tensors to be dequantized during conversion * Allow tensor-strategy for FP8-only compressed-tensor ckpts * Fix and test gguf-py behavior for FP8_E4M3 * Disallow QKV-fusion for FP8 temporarily * Fix conversion of fused qkvz & FP8 for Qwen3-Next * Avoid fusing FP8 for --fuse-gate-up-exps as we may have different ws * Emit warnings when not fusing FP8 during convers

Inference systems & deploymentRead original Timeline and related coverage
04:16

b11986

opencl: initial support for iq2 (#31267) * opencl: add iq2_s AOS mv * opencl: add iq2_s SOA mv and tiled mm * opencl: add iq2_s noshuffle gemm/gemv for adreno * opencl: add iq2_s dp4a for adreno * opencl: optimize iq2_s adreno decode and narrow batches Co-authored-by: Hongqiang Wang * opencl: add iq2_xs AOS mv * opencl: add iq2_xs SOA mv and tiled mm * opencl: add iq2_xs noshuffle gemm/gemv for adreno * opencl: add iq2_xs dp4a for adreno * opencl: optimize iq2_xs adreno decode and narrow batches Co-authored-by: Hongqiang Wang * opencl: add iq2_xxs AOS mv * opencl: add iq2_xxs SOA mv and tiled mm * opencl: add iq2_xxs noshuffle gemm/gemv for adreno * opencl: add iq2_xxs dp4a for adreno * opencl: optimize iq2_xxs adreno decode and narrow batches Co-authored-by: Hongqiang Wang --------- Co-au

Inference systems & deploymentRead original Timeline and related coverage
01:10

b11985

metal : faster MXFP4 mat-vec, full threadgroups for unary/binary/GLU (#31075) * metal : faster MXFP4 mat-vec kernel Decode the fp4 values with the fp16 bit trick instead of a threadgroup lookup table, and load the packed nibbles as aligned 32-bit words. The kernel no longer uses threadgroup memory. * metal : launch contiguous unary and binary ops with full threadgroups The contiguous unary path and the row-broadcast binary path used one thread per threadgroup. Use up to 256 threads per threadgroup and bound-check the tail. * metal : split GLU rows across threadgroups A GLU row ran on one threadgroup, so single-row decode used a single threadgroup for the whole op. Split each row over threadgroups of up to 256 threads. **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon

Inference systems & deploymentRead original Timeline and related coverage
2026-10-29
Follow the timeline
22:15

v5.22.0: Mistral Large 4 (Le Chonk)

## New Models ### Mistral Large 4 (Le Chonk) Mistral Large 4 is Mistral's largest and most capable model to date: a 1 trillion-parameter natively multimodal Mixture-of-Experts model with 49 billion active parameters per token (52 billion including embeddings and output layers), trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs in Mistral's own datacenters in Europe. Mistral Large 4 unifies instruction following, reasoning, coding, and agentic workflows in a single set of weights. While a generalist model, it shows especially good performance on workloads such as cybersecurity, finance, and law, and it surpasses frontier closed models on visual grounding. It is natively fluent in 160+ languages, including every official language of the European Union. #### Key Features Mistral Large

Model releases & updatesRead original Timeline and related coverage
20:17

b11982

hexagon: support for UPSCALE op (#31331) * hex-upscale: basic upscale ops (not fully vectorized) * hex-upscale: optimize nearest 2x, 4x and bilinear 4x * hex-upscale: add support for non-contig rows and dims collapsing * hex-upscale: use vgather instead of scalar staging * hex-upscale: move all kernel select logic to the host, review comments and cleanups * tests: add permuted UPSCALE test to cover qwen3-vl image->text scenarios **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b11982/llama-b11982-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/downloa

Inference systems & deploymentRead original Timeline and related coverage
17:08

v0.12.5

### Added - 🧭 **Analytics session explorer.** Administrators can now open a Sessions tab in Admin Analytics that lists each chat with its tokens, responses, errors and time span, filters them by search, model, token range or sub-agents, and shows a chat's saved replies and tool calls with their timing and outcome, as long as "ENABLE_ADMIN_CHAT_ACCESS" is on. [Commit](https://github.com/open-webui/open-webui/commit/7b303cf496f22d665ff1f1013a2308de0d74a7a4) - 📑 **Pages in notes.** Notes can now hold several pages and subpages, which you can add, rename, reorder, move under another page, download, link to and delete from the page tabs, and search results and the model now work with notes page by page. [Commit](https://github.com/open-webui/open-webui/commit/b34885efc639c10cbf06c35cd2d4ff605

Features & product updatesRead original Timeline and related coverage
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