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2026-11-10

SiliconANGLE AI04:00

Cisco research: Trust, not technology, is now the speed limit on enterprise AI

For several years, the conversation about enterprise artificial intelligence has focused on capability: which model is smartest and which GPU is fastest. That made sense when technology was the constraint. It isn’t anymore. AI can now do far more than most organizations will allow, and the gap is trust. That’s the core finding of “Permission […] The post Cisco research: Trust, not technology, is now the speed limit on enterprise AI appeared first on SiliconANGLE.

ClickHouse00:59

Introducing ClickHouse Security in private preview, built on RunReveal

ClickHouse Security, an agentic SIEM built on RunReveal and ClickHouse Cloud, is now in private preview, with AI agents, 100+ integrations and built-in detections running on your own ClickHouse service.

LangChain02:30

Promptim: an experimental library for prompt optimization

Automate prompt engineering with Promptim's optimization library. Save time, improve AI performance, and switch models faster.

2026-11-09

llama.cpp releases20:00

b12220

The Metal kernel for ggml_tri has been updated to use a select operation instead of scaling by comparison, aligning its behavior with the CPU kernel. This change ensures that values outside the triangle are set to zero rather than becoming NaN when encountering ±inf. A new test, test_tri_special, validates this fix across all four triangle types, confirming it passes with the update but failed previously.

SiliconANGLE AI22:00

Exclusive: FormAssembly overhauls its platform to expand into AI-powered process automation

FormAssembly Inc., a provider of online data collection and workflow automation software, today announced a complete platform overhaul that expands its capabilities beyond building forms to automating complex business processes using artificial intelligence. The new platform, which the company said took seven months to develop, combines form creation, workflow automation, integrations and compliance management in […] The post Exclusive: FormAssembly overhauls its platform to expand into AI-powered process automation appeared first on SiliconANGLE.

Anthropic（第三方 RSS）08:00

Introducing Claude Fable 5.2 and Claude Mythos 5.2

Our most capable models for daunting technical work, Claude Fable 5.2 and Claude Mythos 5.2 set a new bar in coding, finance, and the sciences.

Open WebUI releases07:48

v0.13.3

Open WebUI v0.13.3 introduces agent-based automations with terminal and folder persistence, allows changing terminals and folders mid-chat, adds Brazilian Portuguese translations, and fixes issues including incorrect file tab behavior, agent visibility in model pickers, clipboard functionality over HTTP, DeepSeek reasoning mode compatibility, tool call labeling consistency, knowledge search punctuation handling, and Docker image build reliability.

2026-11-08

llama.cpp releases16:11

b12202

The llama.cpp v1.220.2 release introduces enhanced BF16 precision support across multiple components, aligning with reference implementations by moving specific operations like GLM4 family projections, MiMoVL vision matmuls, and Qwen3-TTS speaker encoder conv1d to BF16 where appropriate. Backends such as CUDA, Hexagon, OpenCL, WebGPU, and Vulkan now uniformly handle GGML_PREC_BF16 similarly to F32, while CPU, SpaceMIT, and ET backends extend flash attention support to BF16 with F32 accumulation. Flash attention tests now include BF16 cases, and the KQ multiplication in Llama is updated to request BF16 precision. A TODO remains in clip.cpp for future work.

llama.cpp releases23:47

b12208

The ggml library has been updated to make tied selections in the radix Top-K algorithm deterministic on CUDA and Metal backends by replacing atomic compaction loops with a deterministic scheme using simdgroup scans and coalesced memory accesses. This change ensures byte-identical outputs across runs, improves performance by 20-45% on M5 Ultra hardware, and enables deterministic testing for Metal and ROCm. Redundant CUDA kernel resets were removed, and Vulkan/Metal changes were reduced or skipped.

Hacker News Show HN02:56

Show HN: Agent Manager – keyboard-first workflow for running many coding agents

Article URL: https://github.com/wainmann/agent-manager Comments URL: https://news.ycombinator.com/item?id=50406983 Points: 3 # Comments: 0

2026-11-07

llama.cpp releases20:15

b12189

The metal backend's kernel_group_norm_f32 was updated to correctly handle tensors with ne03 > 1 and non-contiguous inputs by dispatching one threadgroup per (group, i03) pair, computing per-batch statistics, clamping group element count for incomplete groups, and supporting strided access via separate strides for source and destination. The fix also restricts GROUP_NORM to f32 inputs and improves performance through specialized pipeline variants.

AWS Machine Learning Blog01:34

Taxonomy of agentic primitives in Amazon Quick

As we built Amazon Quick, its agents grew from answering questions to taking actions, and the same primitives kept getting rebuilt under different names. This post shares the taxonomy we converged on — triggers, agents, capabilities, and learned context — found by decomposing agentic work into four plain questions: When, What, Who, and How.

ClickHouse00:16

What I learned from a month with WalShadow on ClickHouse Managed Postgres

Hidehiko ASAHI shares a month of WalShadow private-preview testing, comparing replication latency with ClickPipes and checking data correctness, schema changes, and recovery.

2026-11-06

LangChain04:03

Agents Are Going Async

Async subagents let an agent stay responsive while background workers run long tasks. How the orchestrator, notifications and approvals work in Deep Agents.

llama.cpp releases04:33

b12132

The latest release of llama.cpp, version b12132, includes the removal of u8path() in favor of generic_string(), along with updated binaries for multiple platforms including macOS, Linux, Windows, Android, and openEuler, supporting various backends like CUDA, Vulkan, ROCm, OpenVINO, and SYCL.

llama.cpp releases21:50

b12170

The llama.cpp v1.21.70 release includes enhancements to the moe-cache system, introducing an LRFU/MQ-inspired hybrid cache with improved token handling, key computation, and decay calculations. Changes include adjusting the half-life parameter, increasing the number of classes to 8, refining score computation based on age, removing redundant branches, and improving documentation around unused slots and sorting. The release also features updated build binaries for multiple platforms including macOS, Linux, Windows, Android, and openEuler, with support for CUDA, Vulkan, ROCm, OpenVINO, SYCL, and other backends.

钛媒体17:57

Fourier’s Meta Prototype Puts a Spotlight on an 8-Billion-Yuan Robotics Bet

Shanghai’s Fourier Intelligence built a custom humanoid for Meta’s internal research in months. The company already has a rehab business, modest humanoid shipments, and a disclosed pre-money valuation of about 8 billion yuan. A marquee partner tests its engineering—it does not yet prove the equity story.

AWS Machine Learning Blog02:06

How Amazon Marketplace evaluates content quality with Amazon SageMaker AI

Learn how Amazon Marketplace evaluates A+ Content quality at scale on Amazon SageMaker AI by rendering each product page as a single snapshot, scoring it with a vision-language model fused with OCR readability signals in a CatBoost classifier, and using SHAP to turn each decision into prioritized, actionable recommendations for selling partners.

ClickHouse22:59

How Infinitas Learning uses ClickHouse Managed Postgres to process billions of events for 1.6M unique learners

Infinitas Learning runs transactions for 1.6 million learners on ClickHouse Managed Postgres and serves real-time analytics to teachers from ClickHouse Cloud, where distributed cache cut P99 latency from about 13 seconds to 410 milliseconds.

vLLM · 官方技术博客08:00

Migrating vLLM to the LibTorch Stable ABI

How vLLM migrated its CUDA build and compiled dependencies to the LibTorch Stable ABI, enabling compatible PyTorch upgrades without rebuilding vLLM.