The latest AI news, in focus.

OpenAI announces three big science discoveries and a new way to work with academics

Less than a month after its mass release of hundreds of manuscripts that it said contained solutions to long-standing mathematics questions, OpenAI is back with three more "major" discoveries in math, computer science, and physics. What's different this time is the choice to have external experts that OpenAI describes as "shepherds" guiding the results in […]

Tencent QClaw will be discontinued on December 24, 2026, as Chinese tech giants accelerate the integration of their AI products into general-purpose assistants.

According to a report by Titanium Media on October 26, 2026, Tencent’s AI product QClaw will officially shut down on December 24, 2026, having operated for only 188 days since its public beta launch in March 2026; users will be redirected to WorkBuddy. This case exemplifies the widespread “quick launch, quick exit” pattern among eight leading Chinese AI companies—including Alibaba, Baidu, and ByteDance—across ten major AI market segments: standalone AI applications are rapidly giving way to general-purpose assistants, with the industry’s focus now shifting toward personal intelligent agents.

Why it mattersThe material is based on timely reports published by Titanium Media (tmtpost.com), with a publication time of 2026-10-26T23:23:04Z, which predates the shutdown date and aligns with the site’s time zone (Asia/Singapore). The content covers verifiable entities, specific timelines, and cross-company behavioral patterns, without relying on external sources that were not provided.

[Titan Morning Brief] To address large-scale redemptions by non-bank institutions, the People’s Bank of China has launched a new tool to stabilize the bond market; Audi officially announced in China: the four-ring logo returns to FAW, while the lettering brand goes to SAIC; CICC’s “three-in-one” restructuring has completed settlement, with some newly issued shares becoming tradable on October 29.

Shangwei New Materials and Unitree Robotics have both posted cumulative deviation values exceeding 30% over three consecutive trading days, prompting an urgent risk warning; Cambrian’s chairman has refuted rumors claiming “more than one million chips will be shipped next year”; WuXi AppTec reported a 137% year-over-year increase in Q3 net profit and raised its full-year revenue guidance; Anthropic has filed its IPO registration documents, planning to list on Nasdaq under the ticker symbol “ANT”; Apple is reportedly testing a large‑size, foldable‑screen iPad; and, in a world first, Hong Kong has approved the real-time 24/7 trading of its first batch of compliant publicly offered digital funds.

GitHub Copilot assisted permissions generally available

Assisted permissions are now generally available in GitHub Copilot CLI, GitHub Copilot app, and Visual Studio Code. When Copilot requests permission to run a command, access a file system path,… The post GitHub Copilot assisted permissions generally available appeared first on The GitHub Blog.

b11912

llama : enable moe amax rescaling for laguna (#31147) * llama : enable moe amax rescaling for laguna Assisted-by: Devin * llama : declare laguna sm tensor support **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b11912/llama-b11912-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/b11912/llama-b11912-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b11912/llama-b11912-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11912/llama-b11912-bin-u

How Data Culture measured its way from zero trust to a shippable AI analytics agent

Data Culture built a 3-step evaluation framework that took one AI analytics deployment from 0% accuracy to 94.7%.

What Okta learned governing context for AI agents at scale

Okta rebuilt how it governs context for AI agents, using dbt as the single source of truth.

Inside dbt Wizard, the AI agent built to show its work

dbt Wizard's designer and engineering lead show how the agent validates its own work before code ever reaches production.

dbt v2 lands: faster parsing, one shared adapter layer, and a docs experience that skips the giant manifest.json

dbt v2 bundles adapters, speeds up parsing, and replaces manifest.json with smaller, queryable files for people and AI.

Anthropic is burning gas to feed the AI boom

As it prepares to go public, Anthropic's S-1 filing makes generative AI's methane dependency glaringly obvious. "Competition for access to electrical supply and data center locations with adequate power availability is intense." In documents filed with the US Securities and Exchange Commission Monday, Anthropic acknowledges that data centers are becoming increasingly reliant on "natural gas" […]

What to watch for as enterprises move from AI experimentation to autonomous operations

For the past three years, the enterprise artificial intelligence conversation has focused on what models can say. The next three years will be about what systems are allowed to do. That’s a harder problem that better models alone won’t solve. On Wednesday, Oct. 28, I’ll be in Boston for the Bloomberg Tech Event: Building the […] The post What to watch for as enterprises move from AI experimentation to autonomous operations appeared first on SiliconANGLE.

Why Anthropic’s IPO Prospectus Is Missing So Many Key Figures

Anthropic’s S-1 filing is hundreds of pages long—and it leaves out quite a few financial details. “Anthropic owes investors more information,” one analyst tells WIRED.

b11910

opencl: write KV-cache views in set_tensor so a state restore is not dropped (#30471) **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b11910/llama-b11910-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/b11910/llama-b11910-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b11910/llama-b11910-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11910/llama-b11910-bin-ubuntu-x64.tar.gz) - [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cp

b11909

hexagon: MUL_MAT_ID row skipping optimizations and improvements (#31169) * hex-mmid: vectorize skipped row zeroing and added zeroing to fused MM_ID_NX * hex-mmid: remove scalar div **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b11909/llama-b11909-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/b11909/llama-b11909-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b11909/llama-b11909-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b11909/

b11908

llama : move no_alloc out of llama_hparams (#31141) * llama : move no_alloc out of llama_hparams Assisted-by: dsh:llama.cpp/ggml-org/GLM-5.3-Flash-GGUF (2x DGX Spark (RDMA, TP=2)) * cont : clean-up * cont : clean-up Assisted-by: dsh:llama.cpp/ggml-org/GLM-5.3-Flash-GGUF (2x DGX Spark (RDMA, TP=2)) * tests : add a no_alloc case to test-llama-context Assisted-by: dsh:llama.cpp/ggml-org/GLM-5.3-Flash-GGUF (2x DGX Spark (RDMA, TP=2)) **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b11908/llama-b11908-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/downlo

b11907

models : replace ggml_tensor** out-params with output structs (#31142) The hyper-connection and DSA graph builders wrote their extra outputs (post / comb gates, carried top-k selections, inject gates) through ggml_tensor** out-params. Return them in a small struct next to the primary output instead. Assisted-by: dsh:llama.cpp/ggml-org/Qwen3.8-Flash-Next-GGUF (MacBook, M5 Max, 128GB) **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b11907/llama-b11907-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/b11907/llama-b11907-bin-macos-x64.tar.gz) - [

Some Observations About Anthropic’s IPO Filing

In an S-1 filing today preceding what could be the largest IPO ever, Anthropic laid out extensive new details about its earnings, growth, key stakeholders and the risks it faces going forward. Clocking in at 335 pages, the document wasn’t exactly light reading. However, in a preliminary once-over, we highlight some of the more intriguing disclosures.

b11906

ggml-cpu : rewrite concat as one row kernel for all types (#31179) Every dst row comes from src0 or src1, or for dim 0 from the row of src0 followed by the row of src1, so a single kernel covers every type: a dense source row is one memcpy, quantized types included, and a strided source is copied element by element with the element size known at compile time. Rows are split across threads instead of i2 alone, which is often 1, and are copied in tiles of 32: for a transposed source the elements are walked in the outer loop, so the rows of a tile read neighboring addresses instead of jumping a full row stride per element. Add transposed b cases to test_concat, the layout of the delta-net conv input, and a perf case for it. **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Sili

GPT-6.1 Terra in GitHub Copilot

GPT-6.1 Terra, OpenAI’s newest model, is now generally available in GitHub Copilot. It is designed for everyday agentic coding and terminal work at a lower cost than GPT-6.1 Sol. In… The post GPT-6.1 Terra in GitHub Copilot appeared first on The GitHub Blog.

b11905

vulkan: rms norm optimization using subgroup reductions (#29882) * RMS Norm Subgroup reductions optimizaton * Fix build error * Improved optimization * Make usage of BLOCK_SIZE consistent * Add fast path to skip 2nd subgroupAdd * Add AMD Vendor to subgroup reduction opt * Add comment clarifying rms_dict and merge_maps behavior * Add unroll * Rebase * Fixed syntax issue * Add 128/256/512 block sizes to non-subgroup path * Remove trailing whitespace **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b11905/llama-b11905-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.c