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Can AI help solve the COBOL code crisis?
01 / IN FOCUS

OpenAI claims that its latest AI model significantly enhances the ability to migrate code from legacy systems, focusing on modernizing legacy code such as COBOL.

The Verge · AI
When Traction Becomes Personal Exposure: What The Joonko Guilty Plea Means For Founders
02 / IN FOCUS

Former Joonko CEO Pleads Guilty to Securities Fraud: False Customer and Revenue Statements Result in Personal Liability for the Founder

Crunchbase AI
Tsinghua AI Open-Sources AKV, a Cache Engineering Server for LLM Agents on SGLang
03 / IN FOCUS

Tsinghua University and The Chinese University of Hong Kong jointly open-source AKV: an engineering service system for KV caching tailored to LLM agents.

MarkTechPost
Multi modal perceived conversation success prediction for spontaneous autistic and non-autistic dyadic interactions
04 / IN FOCUS

The study proposes a multimodal approach to predict the successful perception of dyadic conversations between individuals with and without autism.

arXiv cs.CL
新闻源配图 · arXiv cs.CL
05 / IN FOCUS

Research has released the Latin-specific language model LAMB, along with two new corpora: Acervus and Corpus Trinum.

arXiv cs.CL
新闻源配图 · arXiv cs.CL
06 / IN FOCUS

New research finds: The existing critic in reinforcement learning can be directly repurposed as a confidence estimator for large language models.

arXiv cs.CL
Rethinking Structured Generation: Can Graph-Based Reasoning Resolve Ambiguity?
07 / IN FOCUS

The study proposes a new paradigm of fuzzy-aware structured generation driven by graph reasoning.

arXiv cs.CL
An Agentic Approach with Evidence-Grounded Verification for Multimodal Emotion Reasoning in Conversation
08 / IN FOCUS

A new arXiv paper proposes an intelligent agent framework for traceable multimodal emotion reasoning, supporting evidence verification and prompt repair without weight updates.

arXiv cs.CL
新闻源配图 · arXiv cs.CL
09 / IN FOCUS

Query recall determines the retrieval performance of classical Arabic poetry: BM25 and dense encoders show markedly divergent behavior as query abstraction increases.

arXiv cs.CL
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ClaudeAI Assistants & Search

Claude is an AI assistant launched by Anthropic that can assist with writing, reading materials, analyzing data, and programming through conversation, and can organize some tasks into editable documents, spreadsheets, or presentation files. It’s ideal for individuals and teams who want to connect their ideas, materials, and drafts.

WritingAnalysisProgrammingFree entry availableView details
GeminiAI Assistants & Search

Gemini is Google’s AI assistant, which can assist with writing, planning, organizing information, and analyzing uploaded files through conversation. It can also use Deep Research to retrieve information on a topic and generate research reports.

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MidjourneyImage Generation & Editing

Midjourney is an AI-powered creative tool that generates visual artworks from text and reference images. On the web-based Create page, you can enter prompts, compare generated versions, and then continue creating using features such as variations, editing, upscaling, or converting images to video.

Image GenerationText-to-imageVisual CreativityPaidView details
KreaImage Generation & Editing

Krea is an AI visual creation workspace that can generate images from text or reference images, compare different models and variants, and then perform editing, detail enhancement, and upscaling. It also provides access to video and other creative tools.

Image GenerationVideo3DPricing unverifiedView details
RunwayVideo & Animation

Runway is an AI platform that integrates video generation, visual editing, and creative workflows. Starting from text, images, or existing clips, users can generate or modify shots, then extend, upscale, and export them—serving concept shorts, advertisements, and other visual productions.

Video generationCreative VideoVisual CreationFree entry availableView details
SunoMusic & Audio

Suno is an AI music platform that creates songs from text descriptions, lyrics, and reference materials. Users can generate vocal tracks or instrumental music, then use features like editing, remixing, and audio track separation to further produce and share their creations.

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ElevenLabsSpeech & Transcription

ElevenLabs is a platform that offers AI-powered voice generation, audio creation, and voice-enabled agents. Creators can produce voiceovers, audiobooks, podcasts, and localized content, while developers can leverage its APIs to integrate speech synthesis, transcription, and conversational capabilities.

VoiceoverText to speechVoice agentsFree entry availableView details
Notion AIOffice & Productivity

Notion AI is an AI assistant integrated into Notion workspaces, designed to search team knowledge, generate and edit pages, manage databases, and organize meeting notes. By leveraging the context of your workspace and connected apps, it helps you complete information retrieval, content organization, and follow-up tasks all within the same working environment.

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GammaOffice & Productivity

Gamma is an AI-powered tool for creating presentations, documents, web pages, and visual content. It can generate content starting from a goal, an outline, or existing materials, and then refine the final output through conversational prompts, layout adjustments, and free-form editing.

PPTPresentationDocumentFree entry availableView details
CursorCoding & Development

Cursor is an AI programming product designed to support software development tasks, assisting with code planning, modification, testing, and review within the code context, and offering usage options such as desktop, command-line, and cloud-based agents.

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AI, as it happens

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Compute & infrastructure · Software release · 8 storiesClear filters ×
2026-10-25
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14:28

llama.cpp releases version b11871: adds a limit on JSON nesting depth to prevent service crashes

llama.cpp introduced a critical security fix in version b11871, imposing a hard limit of 128 nested JSON levels on requests to prevent HTTP thread stack overflows and service crashes caused by deep recursive parsing (triggering SIGBUS on macOS and SIGSEGV on Linux). This policy covers multiple input scenarios for the chat interface and uniformly returns an HTTP 400 error.

Inference systems & deploymentRead original Timeline and related coverage
10:15

llama.cpp has released version b11870, officially supporting the DeepSeek-V4.1-Flash model.

llama.cpp has added support for the DeepSeek-V4.1-Flash (deepseek41) model in version b11870, and implemented several low-level optimizations tailored to its Engram architecture, including simplification of KV cache computation, replacement of MXFP8 with BF16 precision, and in-graph row gather operations; it also provides multi-platform binary builds covering macOS, Linux, Windows, Android, iOS, and openEuler.

Inference systems & deploymentRead original Timeline and related coverage
05:18

llama.cpp releases version b11869: fixes Jinja template function argument handling and adds multi-platform binary support.

The llama.cpp project has released build version b11869, which primarily fixes the parameter-parsing logic for the select and selectattr functions in Jinja templates and provides precompiled binaries that support dozens of hardware–backend combinations across macOS, Linux, Windows, Android, iOS, and openEuler.

Inference systems & deploymentRead original Timeline and related coverage
04:23

llama.cpp releases version b11868: enhanced Hexagon NPU multi-core Flash Attention support, with cross-platform compilation and build capabilities.

llama.cpp v2.45.0 (tag b11868) has been officially released, with the core update being the introduction of a KV-head splitting mechanism in the Hexagon backend to optimize multi-core HMX Flash Attention performance and unify the FA splitting control flag. Binary packages are simultaneously available for all major platforms, including macOS, Linux, Windows, Android, iOS, and openEuler, supporting multiple backends such as CUDA 12/13, Vulkan, ROCm, OpenVINO, SYCL, and Snapdragon (Adreno + Hexagon).

Inference systems & deploymentRead original Timeline and related coverage
04:11

llama.cpp releases version b11867: server-side entry point refactored, with full support for multiple platforms and heterogeneous acceleration backends.

llama.cpp has officially released version b11867 on GitHub. Key changes include a refactored server entry point (PR #31113) and the addition of the server_role mechanism. Additionally, more than 40 precompiled binaries are now available, covering macOS, Linux, Windows, Android, iOS, and openEuler, with support for diverse hardware backends such as CPU, CUDA (12.4/12.8/13.4), Vulkan, ROCm 10.0, OpenVINO, SYCL (FP16/FP32), and Snapdragon (Adreno + Hexagon).

Inference systems & deploymentRead original Timeline and related coverage
03:51

llama.cpp releases version b11866: removes redundant AMAX scaling logic from the Metal backend and streamlines the MoE computation path.

llama.cpp v.b11866 has removed the outdated src1 power-of-two AMAX scaling mechanism from the Metal backend, instead relying on a more granular per-expert-token amax scaling within the computation graph, ensuring that MoE projection activation values remain within the f16 representation range; concurrently, it also deleted the associated two-stage reduction kernels, F32-precision scheduling, and out-of-bounds test cases.

Inference systems & deploymentRead original Timeline and related coverage
03:30

llama.cpp releases version b11865: adds RDMA receive boundary checking and supports multiple platform backends, including CUDA 13.4, ROCm 10.0, and Snapdragon NPU.

The llama.cpp project has released build version b11865, with core changes including the addition of memory-boundary checks in the RDMA receive logic (PR #30399) and a significant expansion of hardware-acceleration support, covering CUDA 13.4, ROCm 10.0, Vulkan, OpenVINO, SYCL, and Qualcomm Snapdragon—providing full-stack heterogeneous computing backends for CPU, Adreno, and Hexagon. macOS KleidiAI support and openEuler builds have been explicitly marked as DISABLED.

Inference systems & deploymentRead original Timeline and related coverage
03:13

llama.cpp releases version b11861: fixes an inference exception caused by the minimax-m3 model’s quantized scaling tensor not being propagated.

llama.cpp v.b11861 fixes the weight distortion issue in the minimax-m3 model that occurred under NVFP4/MXFP8 quantization due to the scale tensor not being injected into the computation graph, thereby preventing “token soup” and residual vanishing; it also provides multi-platform binary builds covering macOS, Linux, Windows, Android, iOS, and openEuler.

Inference systems & deploymentRead original Timeline and related coverage
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