1. Alibaba’s AntLingAGI open-sources Ling-3.1-flash with 560B parameters and 1M context window

AntLingAGI, part of Alibaba’s Ant Group AI efforts, has open-sourced Ling-3.1-flash, a large language model with roughly 560 billion total parameters and about 25 billion active parameters per token. The model supports a context window of up to 1 million tokens. It is designed for practical use cases, able to turn a rough brief into a webpage, mobile UI, or interactive prototype for teams to review. A demo was shared alongside the announcement.
Read more: https://huggingface.co/inclusionAI/Ling-3.1-flash

Video Credit: @AntLingAGI on X

2. OpenBMB and Tsinghua THUNLP Release Open-Source AI Agent Harness PilotDeck 2.0

OpenBMB, Tsinghua THUNLP, ModelBest, and AI9Stars released PilotDeck 2.0, an open-source, model-agnostic AI agent operating system that executes natural language instructions with transparent data flows. The update adds end-to-end office document handling for Word, Excel, and PowerPoint, more reliable execution of long-running tasks stress-tested across 2,000 interaction messages, and a one-click desktop installer. On the WorkBuddy Bench benchmark, PilotDeck scored 79.1 using the Qwen3.6-35B-A3B model, outperforming WorkBuddy’s 74.7 and Claude Code’s 77.3. The project remains fully open-source, letting users choose their own underlying models.
Read more: https://github.com/OpenBMB/PilotDeck

Video Credit: @OpenBMB on X

3. Qoder releases custom Agent and Agent Team features for individual users

Qoder has opened its Agent and Agent Team features to individual users, allowing them to configure custom AI agents with specific responsibilities, work requirements, and available tools. Users can create specialized agents for tasks like competitive research or code review by combining skills, MCP data sources, and plugins. For complex tasks requiring multiple roles, users can form agent teams led by a Leader agent that coordinates work across members, each operating in separate conversation contexts to manage complexity and reduce context window burden.
Read more: https://mp.weixin.qq.com/s?__biz=MzE5ODI2NzI5Nw==&mid=2247493374&idx=1&sn=ab854f04301e1d182cf0708d0a191f91&chksm=97c9186d231cbe026c870043a7ad34188d06d3a9f5625f799fea1fbe4f8177e21e7174629924&scene=0&xtrack=1#rd

Video Credit: The original article

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1. Anthropic Builds In-House Version Control System to Support AI-Driven Development Scale

Anthropic published an engineering blog post detailing how it built a new in-house version control system and migrated its entire monorepo off Git. The company said daily code changes merged into its monorepo grew from about 2,500 in May to more than 30,000 in September, driven largely by AI coding agents. Existing developer infrastructure, designed for human-scale usage, became a bottleneck at this new volume. The migration from Git to the new system was completed in five months.
Read more: https://www.anthropic.com/engineering/redesigning-source-control

Video Credit: NotebookLM

2. Google DeepMind Launches Gemini 4 Argon, Now Globally Available

Google DeepMind announced that Gemini 4 Argon is now available worldwide. The model is designed to handle complex problems end-to-end, with frontier-level capabilities in coding, enterprise workflows, and cyber defense. The release expands Google’s Gemini model lineup with a focus on tackling harder, multi-step tasks. It is positioned as a general-purpose model aimed at both developers and enterprise users.
Read more: https://x.com/GoogleDeepMind/status/2110039274922131792

Video Credit: @GoogleDeepMind on X

3. xAI launches Grok Voice 3.0, a new speech-to-speech AI model

xAI introduced Grok Voice 3.0, a new speech-to-speech model the company describes as the most intelligent of its kind. The model is designed to handle customer service calls and responds to users in under one second. xAI says it is priced lower than other frontier speech models. The release targets real-time voice applications such as automated customer support.
Read more: https://x.ai/news/grok-voice-3

Video Credit: NotebookLM

4. HeyGen Launches Voice Model Ranked No. 1 on Artificial Analysis, First Built for Video

HeyGen announced HeyGen Voice, a new voice model it says ranks first on the Artificial Analysis benchmark leaderboard. The company describes it as the first voice model built specifically for video, capable of performing a script in a user’s own voice while matching pacing and expression. The model also adapts its output to the acoustics of the scene it is placed in. HeyGen shared accompanying research detailing the technology behind the model.
Read more: https://www.heygen.com/research/heygen-voice-scene-aware-voice-cloning

Video Credit: @HeyGen on X

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1. OpenBMB Releases MiniCPM-V 4.7, a 35B MoE Multimodal Model That Runs on Mobile Phones

OpenBMB has released MiniCPM-V 4.7, a 35B-parameter MoE multimodal model that can run on mobile phones with as little as 3GB of memory. The model uses a technique called Lookahead Expert Scheduling (LES) to enable efficient MoE inference on mobile devices, and a lightweight 1B variant is also available for resource-constrained hardware. It supports tasks such as reading real-world signs, parsing complex documents, and reasoning over visual data on both iOS and Android. A companion method, Self-Replay Fine-Tuning (SRFT), lets developers customize the model for new tasks while preserving general performance.
Read more: https://github.com/OpenBMB/MiniCPM-V

Video Credit: @OpenBMB on X

2. Alibaba Releases Qwen-Image-2.1-Turbo with Open Weights for 8-Step Image Generation

Alibaba’s Qwen team released Qwen-Image-2.1-Turbo, an accelerated checkpoint of the 7B-parameter Qwen-Image-2.1 visual generation model that creates and edits images in just 8 denoising steps. The model retains support for 2K text-to-image generation and natural-language editing despite the reduced step count. Open weights are available on Hugging Face and ModelScope, and the model can be used directly via the Diffusers library. Alibaba also launched official Pro and Turbo API endpoints for hosted access.
Read more: https://modelscope.cn/models/Qwen/Qwen-Image-2.1-Turbo

Video Credit: NotebookLM

3. Z.ai Launches GLM-Legal, a Legal-Domain AI Model Built on GLM-5.3-Flash

Z.ai introduced GLM-Legal, a specialized legal AI model built on its GLM-5.3-Flash foundation model. The company says GLM-Legal matches frontier models on mainstream legal benchmarks. The model is designed for real-world legal workflows including contract review, evidence analysis, and compliance checks. Z.ai published a technical blog post detailing the model and opened API access applications alongside a demo tool called AutoClaw.
Read more: https://z.ai/blog/glm-legal

Video Credit: The original article

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1. Microsoft Unveils Maia 300 AI Chip, Plans Multi-Gigawatt Scale-Up of In-House Silicon

Microsoft announced plans to scale its Maia AI chip family to multi-gigawatt deployments starting next year, making it the primary inference system for its own products and services. The company introduced Maia 300, which it says delivers 40% more tokens per watt than leading GPU-based systems. Microsoft is already deploying the current-generation Maia 200 across the US, Europe, and Australia, achieving up to 1.7x more tokens per watt in Teams and Copilot workloads. The announcement signals a major push toward custom silicon for AI inference efficiency.
Read more: https://blogs.microsoft.com/blog/2026/10/12/microsoft-to-expand-azure-maia-system-to-multi-gigawatt-deployments/

Video Credit: The original article

2. OpenAI launches beta composer predictions in Codex for Pro users

OpenAI Developers announced a new beta feature called composer predictions in Codex, available to Pro users. The feature suggests a user’s next message based on the ongoing conversation and their interaction style with Codex. OpenAI said the feature was one of the most well-received additions during internal testing. The rollout is currently limited to Codex Pro subscribers.
Read more: https://x.com/OpenAIDevs/status/2108624138369929725

Video Credit: @OpenAIDevs on X

3. Meta Launches Muse Wonder Series of Frontier AI Models for Agentic Tasks

Meta introduced the Muse Wonder series, comprising Muse Wonder and Muse Wonder Full, described as its most capable models to date. Both are positioned as frontier models built for state-of-the-art performance on personal and professional agentic tasks. Muse Wonder is immediately available via the Meta Model API and Muse Code, while Muse Wonder Full is available to Muse Code subscribers. Muse Wonder will later power Meta’s personal agent product, Muse, starting with subscribers.
Read more: https://research.meta.ai/blog/muse-wonder

Video Credit: @AIatMeta on X

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1. Mastra Factory

2. Raycast 2.0

Product Hunt Data

Ranking: 11
Upvote: 323

Product Overview
Raycast 2.0 is a keyboard-first command center for macOS that unifies app launching, file search, clipboard, extensions, and AI into one interface. The 2.0 rebuild adds a new indexing engine for faster, broader search, more flexible hotkeys, and an AI layer with screen awareness, shared chat experiences, and context continuity via profiles, memory, agents, and skills, plus built-in dictation and projects/automations.

Evaluation
AI Native Application Modernization: 88/100
Raycast’s AI is integrated as an action-oriented workflow layer rather than a standalone add-on, with context (screen, profile, memory) and modular capabilities (agents, skills, AI extensions) designed to operate across daily tasks. The product modernizes the desktop launcher with performance and UX upgrades while keeping AI close to execution, though its platform scope is constrained to newer macOS requirements and some value depends on external model subscriptions.

Website
https://raycast.com/

3. ChatGPT Images 2.5

Product Hunt Data

Ranking: 12
Upvote: 321

Product Overview
ChatGPT Images 2.5 is an AI image generation and editing model embedded in ChatGPT and available via API, designed for multi-turn creation where instructions, references, and iterative feedback drive the output. It focuses on higher fidelity renders, stronger subject and style consistency across edits, and faster generation for workflows like product imagery, posters, merch, and marketing creatives.

Evaluation
AI Native Application Modernization: 91/100
The product is AI-native because the core system is the image model orchestrated through conversational, stateful editing rather than static templates or manual tools, enabling reliable iterative refinement over multiple turns. Modernization is strong via lower latency, better instruction adherence, and developer-ready API integration for production pipelines, with remaining risk concentrated in predictable controllability and governance needs typical of generative media.

Website
https://openai.com/

4. Suno v6

Product Hunt Data

Ranking: 29
Upvote: 171

Product Overview
Suno v6 is an AI-native music generation and editing suite with three model variants (v6, v6-wild, v6-mini) optimized for different levels of control, exploration, and speed. It focuses on post-generation iteration with in-place edits like changing a chorus, swapping lyrics, extracting a riff from a timestamp, and combining your own tracks, while also supporting multimodal starting points such as images, video, and voice memos.

Evaluation
AI Native Application Modernization: 88/100
The product is model-first: creation, editing, and recomposition workflows are centered on AI outputs rather than traditional DAW paradigms, and multimodal inputs broaden how users specify intent. Industry-aligned development with partners like Warner Music Group, BMG, and Believe signals a push toward more operationally deployable AI music pipelines, though governance, rights handling, and provenance transparency will likely determine how well it scales for professional use.

Website
https://suno.com/

5. Cognition’s SWE-2

Product Hunt Data

Ranking: 32
Upvote: 163

Product Overview
Cognition’s SWE-2 is a coding model optimized for agentic software work where accuracy and runtime cost both matter. It is post-trained with reinforcement learning that directly incorporates the dollar cost of a run into the reward, and it supports multiple effort levels in a single training setup to improve the full cost-performance curve. Reported results include 50.0% on FrontierCode 1.1 Main and 92.8% on Terminal-Bench 2.1, with fewer turns and earlier first edits versus SWE-1.7.

Evaluation
AI Native Application Modernization: 87/100
SWE-2 is AI-native because the model is the core execution engine for coding agents, and cost-aware behavior is learned rather than enforced via external rules. Training that internalizes monetary cost targets production constraints like token burn, turn count, and iterative exploration, which is critical when running agents at volume. The product story is supported by benchmark deltas and deployment paths (Devin Desktop/CLI), though real-world outcomes will still depend on repo complexity, tooling integration, and eval representativeness.

Website
https://cognition.com/blog/swe-2

6. AlphaGenome Atlas

Product Hunt Data
Ranking: 38
Upvote: 149

Product Overview
AlphaGenome Atlas is an AI-driven genome-variant atlas that predicts the potential biological impact of single-letter DNA mutations at scale, exposing a research-ready map of billions of variants via a visual interface for non-programmers plus an API for programmatic analysis and integrations.

Evaluation
AI Native Application Modernization: 87/100
The core value is model-generated predictions rather than manual curation, turning AI inference into the primary data layer for exploration and downstream workflows; strong accessibility (UI + API) supports adoption, while practical research use still depends on responsible interpretation, validation, and clear uncertainty handling for high-stakes genetic decisions.

Website
https://blog.google/innovation-and-ai/models-and-research/google-deepmind/alphagenome-atlas/

7. Lyrimuse

Product Hunt Data

Ranking: 85
Upvote: 96

Product Overview
Lyrimuse is a macOS lyrics app that treats lyric selection as a scoring problem: it queries nine providers in parallel, ranks candidates by metadata fit, duration alignment, word-level timing availability, cross-provider corroboration, and version qualifiers (Live/Remix/Edit/language variants), then keeps an explainable panel of why a winner was chosen and locks manual overrides to prevent re-matching.

Evaluation
AI Native Application Modernization: 92/100
The core system is an automated matching and ranking engine that continuously decides the correct lyric version per track, rather than a static lookup UI; it also supports multi-surface rendering (overlay, Dynamic Island-style capsule, lyrics window, menu bar) and augments content via on-device translation plus language-aware romanization (e.g., Jyutping, furigana), with strong product hygiene for a desktop utility (free, GPL-3.0, no account, no telemetry).

Website
https://github.com/Yudaotor/lyrimuse

8. hob

Product Hunt Data
Ranking: 95
Upvote: 90

Product Overview
hob is an AI-native workspace that treats coding agents as first-class users, unifying the tools around them—terminals, isolated worktrees, reviews/PRs, automations, artifacts, and remote sessions—so context, outputs, and decisions stay connected to the exact agent conversation that produced them.

Evaluation
AI Native Application Modernization: 88/100
The core value comes from agent-centric workflow orchestration rather than a bolt-on assistant: agents can open the right context, coordinate work, recover sessions, and guide actions inside the app while keeping plans, commits, and issues traceable. Strong local-first posture with remote E2E encryption and no token resale reduces operational risk, though adoption depends on how smoothly it fits diverse agent/provider setups.

Website
https://hob.dev/

Statement: Evaluation results are generated by AI, lack of data support, reference learning only.

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1. Huawei Unveils OceanStor M900 Context Memory Storage for AI Data Centers

Huawei introduced the OceanStor M900 Context Memory Storage system, designed to address the growing demands of expanding AI context windows and large-scale inference workloads. The product offers massive shared storage capacity alongside high-performance data access. Huawei states the system is optimized to reduce token costs for hyperscale AI data centers. The release targets infrastructure providers scaling AI inference operations.
Read more: https://x.com/Huawei/status/2108496892086890587

Video Credit: @Huawei on X

2. Qoder AI IDE launches Fast mode, cutting response time and credit cost

Qoder, Tencent’s AI coding IDE, released a new performance mode called Fast. The company says it delivers the same output quality with response times around 3 seconds. Credit consumption for the mode drops from 1.1x to 0.8x compared to the previous rate. The feature is now live for users.
Read more: https://x.com/qoder_ai_ide/status/2108806953141162235

Video Credit: @qoder_ai_ide on X

3. CapCut Launches Timeline Editor in Video Studio on Web

ByteDance’s CapCut has launched a Timeline Editor within CapCut Video Studio on the web. The new tool combines AI video generation with manual editing in a single canvas, letting users trim and combine clips, refine prompts and regenerate content, add music, and make further adjustments in one workflow. Projects started on the web can be continued seamlessly on CapCut Desktop. The update is available now for users to try.
Read more: https://x.com/capcutapp/status/2108821764486914201

Video Credit: @capcutapp on X

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1. Anthropic launches Claude Dashboards and Claude Motion in beta

Anthropic has released two new Claude features in beta: Claude Dashboards and Claude Motion. Claude Dashboards lets users ask Claude to turn their data into live, interactive dashboards. Claude Motion allows users to convert their ideas into animated explainer videos. Both features are now available for testing as part of Anthropic’s expanding Claude product suite.
Read more: https://claude.com/resources/articles/dashboards-and-motion

Video Credit: @claudeai on X

2. Google Launches First Test Satellite Carrying TPUs to Explore Space-Based AI Infrastructure

Google announced Project Suncatcher, a research effort examining whether machine learning infrastructure could one day be hosted in space. The initiative aims to determine whether Google’s TPU AI chips can withstand the physical stress of launch as well as the radiation and thermal extremes of orbit. According to Google, researchers have been studying these questions for several years. The company said it recently launched its first test satellite carrying four TPUs into orbit to begin gathering real-world data.
Read more: https://x.com/Google/status/2107875278416753052

Video Credit: @Google on X

3. OpenAI Rolls Out Ultrafast Mode for GPT-6.1 Sol Across API, Codex, and ChatGPT Work

OpenAI announced that Ultrafast mode for its GPT-6.1 Sol model is rolling out today across the API, Codex, and ChatGPT Work. The new mode delivers near-Astra level intelligence while running up to 8 times faster than Sol Standard. The update targets developers and enterprise users who need rapid response times for building and iterating on applications. The rollout spans OpenAI’s developer API as well as its coding and workplace-focused products.
Read more: https://developers.openai.com/api/docs/guides/ultrafast-mode

Video Credit: @OpenAIDevs on X

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1. Vidu Releases Q4 Preview, a Next-Generation Flagship AI Video Model

Vidu AI launched Vidu Q4 Preview, described as its next-generation flagship AI video generation model. The company highlights expressive character performance, cinematic camera movement, and high-impact visual effects as key improvements. Vidu Q4 Preview is now live and priced from 0.014 dollars per second of generated video. The release aims to make flagship-level AI video generation more accessible through lower-cost pricing.
Read more: https://x.com/ViduAI_official/status/2107856382263505219

Video Credit: @ViduAI_official on X

2. Tencent releases ima, an AI knowledge workspace powered by Hunyuan and DeepSeek models for writing and knowledge management

Tencent has launched ima, an AI-powered knowledge workspace that integrates search, reading, and writing capabilities. The platform is powered by Tencent Hunyuan and DeepSeek dual AI engines and features a copilot function that learns user habits and preferences over time. The tool is available on Windows, Mac desktop platforms and WeChat mini-program, with cross-platform data synchronization. New users receive 500 computational credits upon registration plus 100 daily credits for regular use.
Read more: https://mp.weixin.qq.com/s?__biz=Mzk0MDg0MTkzOA==&mid=2247506267&idx=1&sn=a9b2d72305b83670c01b33a8f3fd5f3c&chksm=c32f81af78f15e16b67b3e3ca60e52333a2c457025a813402e2c7b119f5d0cc53604352fd90a&scene=0&xtrack=1#rd

Video Credit: NotebookLM

3. Kuaishou’s Kling AI releases version 4.0 with 30-second native video generation and enhanced stability for complex camera movements

Kuaishou’s Kling AI announced the beta release of version 4.0, scheduled for official launch in October 2026. The new model introduces up to 30-second native video generation and improves stability in complex camera movements and large dynamic scenes. It enhances understanding of long prompts and continuous narratives while maintaining consistency of characters, props, and scenes across shots. Additional capabilities include subject and scene asset invocation, sound continuation, and motion transfer. An advertising creative director with 28 years of experience tested the model and confirmed its improved performance in high-speed camera work, action sequences, cross-scene consistency, and character performance with emotional speech.
Read more: https://mp.weixin.qq.com/s?__biz=MzU5NTkwNDU2OA==&mid=2247496912&idx=1&sn=52292535ca61af3fc66326f8aea772ce&chksm=ffdc0ae6d84a39877cf6ccc6357a241ab2bba9ccb47fda840fc078fdf1c84e2901fe23c51c07&scene=0&xtrack=1#rd

Video Credit: @Kling_ai on X

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1. Anthropic Releases Claude Haiku 5.5, Its Cheapest and Fastest Small Model Yet

Anthropic introduced Claude Haiku 5.5, describing it as the cheapest, fastest, and most capable small model the company has released to date. The new model costs around 75% less to run on average than its predecessor, Claude Haiku 4.5. The release expands Anthropic’s lineup of lower-cost models aimed at high-volume and latency-sensitive applications. The announcement was made through Anthropic’s official Claude AI account.
Read more: https://www.anthropic.com/claude-haiku-5-5

Video Credit: @claudeai on X

2. Google Labs launches Playground, an experimental no-code AI game creation platform

Google Labs introduced Playground, a new experimental platform that lets users create their own games without any coding experience. The tool is designed so that users can turn an idea into a playable game. It is currently available only to users aged 18 and older in the United States. Google positioned the release as an early-stage experiment rather than a finished consumer product.
Read more: https://x.com/GoogleLabs/status/2107800195748737042

Video Credit: @GoogleLabs on X

3. OpenAI Rolls Out GPT-6 and Intelligent UI to All ChatGPT Users

OpenAI announced that GPT-6 and a new Intelligent UI feature are now rolling out to all ChatGPT users. Intelligent UI is designed to deliver faster, more interactive answers by adding visual elements to everyday questions. It also aims to make complex topics easier to understand through dynamic, interactive tools generated on the spot for a user’s task. The rollout marks a broader deployment of OpenAI’s latest model alongside this new interface capability.
Read more: https://t.co/XL2gDCPBwG

Video Credit: @OpenAI on X

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1. SkyProduction launches Seedance 2.5 draft mode with 480P preview and 1080P final rendering to reduce AI video production costs

SkyProduction, powered by Kunlun Tech, launched the Seedance 2.5 draft mode on September 29, allowing AI video creators to generate 480P preview videos before committing to 1080P final renders. The feature addresses high inference costs in AI short drama production, where creators typically generate dozens of versions before selecting the final clip. According to testing from ByteDance’s Volcano Engine, the draft mode can reduce costs by approximately 57% in typical scenarios and up to 90% in high-iteration workflows, while maintaining visual consistency between draft and final output without relying on upscaling. The mode is now available on skyproduction.cn for users creating AI-generated video content.
Read more: https://mp.weixin.qq.com/s?__biz=MzI1MzE1NDc3Mg==&mid=2247510469&idx=1&sn=d9fe2fea61b8627bf8923d51d0d59933&chksm=e883c45632445d9212d3079b59b123de6d077faac06d24b893b833141199f0ba0e16604ce14e&scene=0&xtrack=1#rd

Video Credit: The original article

2. Tencent ima integrates multiple Tencent ecosystem Skills including Medical Knowledge, Stock Data, News, and WeChat Reading

Tencent announced that its AI assistant ima has integrated multiple Tencent ecosystem Skills, allowing users to access various services through voice commands without switching apps. The integrated Skills include Tencent Medical Knowledge Q&A, Tencent Stock Financial Data Query, Tencent News, WeChat Reading, Tencent Campus Recruitment, Tencent Fact Check, Tencent Meeting, Tencent E-Sign Contract Assistant, Tencent Weather, Tencent Channel, and PDF processing tools. Users can install these Skills through the Discover section in ima and invoke them directly through conversation, with outputs that can be saved to the knowledge base for future reference.
Read more: https://mp.weixin.qq.com/s?__biz=Mzk0MDg0MTkzOA==&mid=2247506155&idx=1&sn=45c22d07c0d94fede8cb10035c86bcb0&chksm=c3abee5afbd330c3f8c657471116c7a70f09ac825e871eab0f45c022161c9c91380d8ebfcdba&scene=0&xtrack=1#rd

Video Credit: NotebookLM

3. Qoder integrates TypeSafe AI’s Jev judgment model into Agent Harness for automated decision-making

Qoder announced its integration of Jev, a System One judgment model from TypeSafe AI, into its Agent Harness architecture to handle high-frequency semantic decisions in agent workflows. The integration separates responsibilities where generative models handle understanding and planning, Jev handles bounded semantic judgments, and Harness manages permissions, execution, and validation. Qoder demonstrated two use cases: Auto Mode, which uses Jev to determine whether agent operations can execute automatically with permission judgment latency reduced by approximately 83 percent from 3.13 to 0.53 seconds, and browser automation, where Jev selects next-step page operations within a controlled decision loop. The approach aims to establish a clearer division of labor between generation, judgment, deterministic rules, and user control in agent systems.
Read more: https://mp.weixin.qq.com/s?__biz=MzE5ODI2NzI5Nw==&mid=2247492846&idx=1&sn=171f168c0a3a970a06990ae6bfefa839&chksm=97bd8ffd0b4a074f9ea84bd84f2a40af8bbc4ed098f15f5fdeeee4e9381574323e96114b9358&scene=0&xtrack=1#rd

Video Credit: The original article

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