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Friday

  1. Story1 reports · 1 facts

    GitHub announces that Copilot Fusion is officially available

    On October 29, 2026, GitHub announced that Copilot Fusion is officially available. According to a report by Rohan Paul, the product can route coding tasks between Claude and GPT models; on Artificial Analysis's Coding Agent Index, its Max setting scored 60, compared with 62 for Claude Code, at a cost per task of $5.59 versus $11.42, with Fusion consuming 7.2M tokens per task, roughly half of Claude Code's usage. On the same day, Microsoft released multiple updates at GitHub Universe, stating that Copilot Fusion achieves frontier-level quality, is 40% faster, and reduces costs by up to 77%, and announced that a unified Copilot harness is entering Foundry as a managed service. There are currently no subsequent developments.

    On October 29, 2026, GitHub announced that Copilot Fusion is officially available. According to a report by Rohan Paul, the product can route coding tasks between Claude and GPT models; on Artificial Analysis's Coding Agent Index, its Max setting scored 60, compared with 62 for Claude Code, at a cost per task of $5.59 versus $11.42, with Fusion consuming 7.2M tokens per task, roughly half of Claude Code's usage. On the same day, Microsoft released multiple updates at GitHub Universe, stating tha

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  2. Story1 reports · 1 facts

    AYi Open-Sources Emotional Intelligence Plugin Tool Source Code and Core Prompts

    On October 29, 2026, AYi open-sourced the source code and core System Prompt of the "emotional intelligence plugin" tool. According to an article published by AYi AI Notes, the tool was built using Cursor together with Claude Opus 5.5; it is a zero-dependency local web tool that can rewrite emotionally charged drafts according to the four elements of Nonviolent Communication, and comes with seven built-in categories of communication counterparts and three tone levels: gentle, firm, and direct. The tool runs locally at 127.0.0.1:8787, and fixed HTTPS links are generated through the UUMit client for distribution to colleagues, with no need to purchase servers or complete filing, and permissions can be granted and revoked on a per-person basis. The article also provides an 800-character limit per input, default rate limits of 10 times per minute and 200 times per day, as well as the source code and System Prompt in two GitHub repositories. There are currently no further developments.

    ct. The tool runs locally at 127.0.0.1:8787, and fixed HTTPS links are generated through the UUMit client for distribution to colleagues, with no need to purchase servers or complete filing, and permissions can be granted and revoked on a per-person basis. The article also provides an 800-character limit per input, default rate limits of 10 times per minute and 200 times per day, as well as the source code and System Prompt in two GitHub repositories. There are currently no further developments.

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Thursday

  1. FactRelated story

    GitHub announces general availability of Copilot Fusion

    On October 29, 2026, GitHub announced that Copilot Fusion is officially available. According to a report by Rohan Paul, the product can route coding tasks between Claude and GPT models; on Artificial Analysis's Coding Agent Index, its Max setting scored 60, compared with 62 for Claude Code, at a cost per task of $5.59 versus $11.42, with Fusion consuming 7.2M tokens per task, roughly half of Claude Code's usage. On the same day, Microsoft released multiple updates at GitHub Universe, stating that Copilot Fusion achieves frontier-level quality, is 40% faster, and reduces costs by up to 77%, and announced that a unified Copilot harness is entering Foundry as a managed service. There are currently no subsequent developments.

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    View story:GitHub announces that Copilot Fusion is officially available

Thursday

  1. FactIndependent public fact

    English translation is being prepared.

    English text is being prepared.

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Saturday

  1. Story1 reports · 1 facts

    Aerial offers Agent-based automatic deployment to replace the TV's default launcher

    Aerial is a tool that can replace the default launcher on Chinese smart TVs without root, and its deployment is completed automatically with the help of an Agent. According to an October 22, 2026 report by Huxiu, users connect the TV and computer to the same WiFi, enable ADB and find the TV's IP address, then copy the prompt from the Aerial official website and hand it to an Agent such as Doubao or WorkBuddy to execute; they only need to allow USB debugging in the pop-up on the TV, and the whole process takes about five minutes. The tool uses a "launcher guard" to cover the original launcher when it is woken up, and leverages Android notification listening to revive within 0.5 seconds after standby cleanup, so home-screen ads disappear, but boot ads still cannot be blocked. The report says that everything from the code and APK to the official website was produced through AI Vibe Coding; it gained more than 200 stars on GitHub within one day of launch, and subsequently added features such as icon hiding and adding signal input sources to the home page, and was adapted to multiple TV models.

    is woken up, and leverages Android notification listening to revive within 0.5 seconds after standby cleanup, so home-screen ads disappear, but boot ads still cannot be blocked. The report says that everything from the code and APK to the official website was produced through AI Vibe Coding; it gained more than 200 stars on GitHub within one day of launch, and subsequently added features such as icon hiding and adding signal input sources to the home page, and was adapted to multiple TV models.

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Wednesday

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Sunday

  1. Databricks Blog

    Databricks uses Lakebase branching to create an independent database per PR: a CI/CD practice

    Databricks describes Snorkel AI's CI/CD solution that uses Lakebase branching to create an independent read-write database for each open PR, reducing branch readiness time from over 30 minutes to under 60 seconds. Branches use copy-on-write; on a production dataset of about 2.5 TB, 100 concurrent PR branches store only 5 to 10 GB of data each for their own changes, and TTL automatically cleans them up after the PR ends. Production data is continuously synchronized to the main branch via AWS DMS; developers log in with Okta SSO, and the CI pipeline authenticates with a service principal and short-lived OAuth tokens.

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    Databricks describes Snorkel AI's CI/CD solution that uses Lakebase branching to create an independent read-write database for each open PR, reducing branch readiness time from over 30 minutes to under 60 seconds. Branches use copy-on-write; on a production dataset of about 2.5 TB, 100 concurrent PR branches store only 5 to 10 GB of data each for their own changes, and TTL automatically cleans them up after the PR ends. Production data is continuously synchronized to the main branch via AWS DMS;

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    #company#Tutorials / practice#English text is being prepared.#English text is being prepared.

Wednesday

  1. Unite.AI

    Perplexity Publishes LLM Gateway Best Practices Guide, Outlining Request Flow and Production Risks

    On October 27, 2026, Perplexity published an LLM gateway best practices guide explaining how this middleware layer routes, authenticates, caches, and logs model calls, and distinguishing four categories: API gateways, LLM gateways, MCP gateways, and AI gateways. The guide breaks down the mechanism through a six-step request lifecycle, while warning that the gateway centralizes credentials from various providers, and cites the LiteLLM gateway breach disclosed by Microsoft and two high-severity vulnerabilities, CVE-2026-35029 and CVE-2026-59823, reported by Check Point (already fixed in LiteLLM 1.83.9). The article also lists postmortems of Cloudflare AI Gateway and OpenRouter outages, four deployment paths, and paid plans starting at about $50 per month.

    On October 27, 2026, Perplexity published an LLM gateway best practices guide explaining how this middleware layer routes, authenticates, caches, and logs model calls, and distinguishing four categories: API gateways, LLM gateways, MCP gateways, and AI gateways. The guide breaks down the mechanism through a six-step request lifecycle, while warning that the gateway centralizes credentials from various providers, and cites the LiteLLM gateway breach disclosed by Microsoft and two high-severity vu

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    #hot-signal#Safety / alignment#English text is being prepared.#OpenAI
  2. NVIDIA Developer · Generative AI

    NVIDIA Explains How to Fine-Tune Nemotron 3.5 Lightning with the Nemotron-Personas Dataset

    NVIDIA has released the Nemotron-Personas France and Belgium datasets and provided a complete post-training workflow for fine-tuning Nemotron 3.5 Lightning with them. The workflow includes defining behavior contracts, generating synthetic conversations with personas, fine-tuning with LoRA on NVIDIA NeMo, merging adapters, and then comparing and evaluating item by item against the base model on a frozen test set. The France dataset was built in collaboration with Pleias, and the Belgium dataset involved Pleias and KU Leuven; the Nemotron repository provides reusable steps and agent skills for data generation, training, and evaluation.

    Flowchart showing eight stages: define target behavior and a holdout set, sample personas, generate conversations, audit and split data, fine-tune with LoRA, merge the adapter, serve the adapted model, and evaluate it against the base model.

    NVIDIA has released the Nemotron-Personas France and Belgium datasets and provided a complete post-training workflow for fine-tuning Nemotron 3.5 Lightning with them. The workflow includes defining behavior contracts, generating synthetic conversations with personas, fine-tuning with LoRA on NVIDIA NeMo, merging adapters, and then comparing and evaluating item by item against the base model on a frozen test set. The France dataset was built in collaboration with Pleias, and the Belgium dataset i

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    #lab#Tutorials / practice#English text is being prepared.#Open-source ecosystem
  3. Full Artificial Analysis articleSelected

    Gemini 4 Carbon Tops the Artificial Analysis Intelligence Index v5

    Google's Gemini 4 Carbon ranks first on the Artificial Analysis Intelligence Index v5 with a score of 59, leading in four of the 9 evaluations: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, and AutomationBench-AA. On the Coding Agent Index, Gemini 4 Carbon (high) paired with the Antigravity CLI scores 59, trailing Claude Code paired with Claude Opus 5.5 (max, 62 points) by 3 points. The model has a 1M-token context window, supports text, image, video, and speech input, and is priced at a standard rate of $4/$20 per million input/output tokens; it is currently available to select users with a 50% discount.

    Google's Gemini 4 Carbon ranks first on the Artificial Analysis Intelligence Index v5 with a score of 59, leading in four of the 9 evaluations: HLE-Diamond, Terminal-Bench-Science, AA-Omniscience, and AutomationBench-AA. On the Coding Agent Index, Gemini 4 Carbon (high) paired with the Antigravity CLI scores 59, trailing Claude Code paired with Claude Opus 5.5 (max, 62 points) by 3 points. The model has a 1M-token context window, supports text, image, video, and speech input, and is priced at a

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    #company#Evaluations / benchmarks#Google#Reasoning

Sunday

  1. Browser UseSelected

    How to get coding agents to use your already-logged-in Chrome

    Browser Use published a guide introducing several ways to let coding agents work in a real, already-logged-in Chrome, including Claude in Chrome, Playwright MCP extension mode, Chrome DevTools MCP auto-connect mode, the Gemini CLI built-in browser agent, the ChatGPT desktop browser extension, and Browser Harness. The article gives configuration commands and limitations separately for agents such as Claude Code, Codex, Gemini CLI, and Cursor, and explains that starting with Chrome 136, --remote-debugging-port and --remote-debugging-pipe on the default data directory will be ignored, so the old practice of copying cookies to a new browser will fail in scenarios such as device-bound sessions.

    Browser Use published a guide introducing several ways to let coding agents work in a real, already-logged-in Chrome, including Claude in Chrome, Playwright MCP extension mode, Chrome DevTools MCP auto-connect mode, the Gemini CLI built-in browser agent, the ChatGPT desktop browser extension, and Browser Harness. The article gives configuration commands and limitations separately for agents such as Claude Code, Codex, Gemini CLI, and Cursor, and explains that starting with Chrome 136, --remote-d

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    #company#Tutorials / practice#Agents#English text is being prepared.
  2. LangChain BlogSelected

    LangChain summarizes the five components for building company-level agents

    Harrison Chase and Caspar Broekhuizen of LangChain published an article summarizing the five core components shared by its three internal agents for marketing, sales, and engineering: agents live in existing workplaces such as Slack, a distinction between acting on behalf of users and a fixed identity, global and user-level memory, code execution within a sandbox, and a large number of runs triggered by schedules or events. The article uses GTM Agent, OpenSWE, and Content Studio as examples to explain their specific approaches to identity, memory, and code execution, all three of which are built on Managed Deep Agents.

    Harrison Chase and Caspar Broekhuizen of LangChain published an article summarizing the five core components shared by its three internal agents for marketing, sales, and engineering: agents live in existing workplaces such as Slack, a distinction between acting on behalf of users and a fixed identity, global and user-level memory, code execution within a sandbox, and a large number of runs triggered by schedules or events. The article uses GTM Agent, OpenSWE, and Content Studio as examples to e

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    #company#Tutorials / practice#Agents#English text is being prepared.