wowsuch ai
Daily brief2026-10-13 UTC
LFM2.5-24B-A2B is a text model designed for reasoning and tool use. Developers can run it with Transformers, vLLM, or SGLang, or fine-tune it for a particular use. [2] Liquid AI also released LFM2.5-24B-A2B-Base, a pretrained starting point intended for substantial fine-tuning, such as adapting an assistant to a specific field or proprietary data. Both records describe a 131,072-token context length; that specification alone does not show how well either model handles long inputs. [4]
Mizan v3 3B, from Nimruz, takes text or structured JSON records and a typed question, then returns probabilities for the allowed answers. It supports choices, yes-or-no questions, and scoring, and can apply policies or rubrics included in the record. [1] That could help developers route incoming records, rate severity, or classify intent. It is a Persian-first model, and the supplied record describes it as available with open weights, a CLI, and an API. [1]
Each numbered link above points to one of these catalog records, with its sources.
Mizan v3 3B is a Persian-first decision model that takes text or JSON records and typed questions, then returns probabilities for each allowed answer in one forward pass. It supports choice, yes/no, and scoring questions, and can apply policies and rubrics included in the record.
Sources: Hugging Face
LFM2.5-24B-A2B is a 24B-parameter text-only reasoning model with 2.45B active parameters, post-trained for agentic workloads. It supports tool calling, has a 131,072-token context length, and is released as a model checkpoint for use with Transformers, vLLM, and SGLang.
Sources: Hugging Face, Liquid AI, Hugging Face
This is a Korean speech recognition fine-tune of Qwen3-ASR-1.7B, trained with two rounds of supervised fine-tuning and reinforcement learning. The model checkpoint and usage instructions are publicly available on Hugging Face.
Sources: Hugging Face
LFM2.5-24B-A2B-Base is a 24B-parameter, text-only pretrained checkpoint with 2.45B active parameters and a 131,072-token context length. Liquid AI describes it as part of a family designed for on-device deployment and recommends it for tasks requiring substantial fine-tuning.
Sources: Liquid AI, Liquid AI, Hugging Face
VegaML is a Python package for making typed decisions from text or images using a frozen language model and a physics engine. It returns choices, scores, or boolean probabilities with calibrated probabilities, conformal answer sets, and an abstain flag.
Sources: GitHub new repositories
Copilot code review adds a dedicated per-user settings page and more granular automatic-review controls, plus an enterprise-level default review effort that can be inherited by organizations. These changes are generally available across Copilot plans including Business and Enterprise.
Adds managed controls for attributing user identity in telemetry and independently configuring capture of identity, prompts, responses, tool data, and policy details. All capture classes are off by default, and administrators’ managed settings take precedence over local settings and configuration.
GitHub deprecated four models across its Copilot experiences on October 2, 2026. It suggests replacement models and says administrators may need to enable access to alternatives through model policies.
Adds managed controls for attributing user identity in telemetry and independently configuring capture of identity, prompts, responses, tool data, and policy details. All capture classes are off by default, and administrators’ managed settings take precedence over local settings and configuration.
Copilot CLI adds whole codebase indexing (WCI) for C++ that builds a persistent symbol index across a project so the Microsoft C++ Language Server can resolve symbols and relationships without repeatedly rediscovering them. The feature is enabled by default, can increase initial build time and memory usage, and the index is reused and dynamically updated thereafter.
Adds managed controls for attributing user identity in telemetry and independently configuring capture of identity, prompts, responses, tool data, and policy details. All capture classes are off by default, and administrators’ managed settings take precedence over local settings and configuration.
Copilot for JetBrains 1.18.0 is a JetBrains IDE plugin update that adds new agent features, organization-shared skills and instructions, and workflow improvements. The release includes public-preview assisted tool approvals, a re-edit message capability, Codex agent plan mode, and controls for MCP tools and the built-in MCP server.
Adds managed controls for attributing user identity in telemetry and independently configuring capture of identity, prompts, responses, tool data, and policy details. All capture classes are off by default, and administrators’ managed settings take precedence over local settings and configuration.
Amazon Connect Customer now supports agent-to-agent collaboration, allowing specialized AI agents to be brought into a live customer interaction. The launch expands the open A2A protocol to support voice streaming and interaction-level session continuity and provides unified observability, guardrails, and escalation controls across collaborating agents.
Step-by-step guides can now be prefilled with information extracted from customer conversations, according to manager-defined rules. Agents can review, correct, and submit the populated fields.
Local sandboxing for the Copilot app provides per-project policies that limit filesystem, network, and credential access for local repository and working-tree sessions. The feature is available in public preview and is configurable in the app per project or for individual sessions with an in-session command.
Adds managed controls for attributing user identity in telemetry and independently configuring capture of identity, prompts, responses, tool data, and policy details. All capture classes are off by default, and administrators’ managed settings take precedence over local settings and configuration.
Facebook Plus is a paid subscription that adds personalization and other features to Facebook. The announcement says it includes custom app icons, super reactions and additional Reels insights.
Facebook is rolling out AI-powered tools that let people describe interests in their own words and manage topics to shape Feed and Reels recommendations, with updates in real time.
Written by openai/gpt-6-luna from the catalog records listed here; every sentence cites the records it rests on. Which records a brief covers is decided by fixed rules: the new developments and major releases of the window with the strongest evidence.
Original catalog content is licensed under CC BY 4.0, attributed to wowsuchai. Source quotations and linked content keep their original rights.