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Conversational AI Gets a Face—and Gets Work Done Mid-Conversation
On September 24, Google added an animated face to its voice-based AI. Available in Gemini Enterprise, it moves in sync with the conversation.
Looking Up Information While Keeping the Conversation Going
The on-screen character moves its mouth and changes expression as it speaks, and responds to what users say and show it. In a hotel reception demo, it continued the conversation while looking up information in the background.
Opinions in international communities were divided over the quality of the animation and its availability only to businesses. How useful it will be in real customer service still needs to be tested in practice.
On-Screen Guidance Leads Into Action
The point to watch is more than how natural the face looks. It is the full sequence of listening, finding the needed information, and sharing the result in conversation.
If that works for bookings, purchases, and product guidance, users could move to the next step without switching between screens. Businesses will need to make the AI's answers accurate and let users see what it has done.
What caught my eye today is Google's conversational avatar. There is more to it than a moving face.
It looks up information in the background while you talk, then responds without stopping the conversation. That's the interesting part.
In an OpenAI case study, AI is also being used to answer customer calls. Conversations are starting to lead directly into getting things done.
Say you're asking about a reservation. The AI could check availability, then leave the final choice to you. With less time spent moving between screens, the conversation can keep its flow.
And if you can see in the conversation what it checked and how far it got, there is more work you can feel comfortable entrusting to it.
The value of conversation is shifting from simply speaking naturally to making progress on the task that brought you there.
The listed steps move from defining a style and visual world to creating realistic reference images and then a realistic video. A separate section covers connecting Artlist through MCP; the description does not provide measured results for the method.
At a Tokyo bagel shop, the team examines sales data, demand by product and time of day, and foot traffic. The description says they design and develop a system to support business decisions and operations, while discussing how to plan AI adoption.
The creator reviews Higgsfield Genjutsu through its interface and workflow. They claim it can change a video's subject or setting while retaining camera movement, effects, and texture, and suggest uses such as producing multiple ad variations from one clip.
For people already using Claude Code, the guide covers 13 settings and features. Topics include how to use CLAUDE.md and memory, permission modes, model selection, Git version control, parallel work in VS Code, notifications, and remote control from a phone.
The uploader discusses GPT-6 Astra’s capabilities and pricing alongside a performance and cost comparison with Claude Fable 5.1. Topics include computer use, billing, evaluation scores, and a security rating. The recording reflects information available on September 10, 2026.
The uploader says OpenAI released GPT-6 Sol and Luna at a lower price than the previous model. The video is organized around their stated features, benchmarks, and safety, then covers how to use them in Codex and ChatGPT Work.
The creator describes Claude Code Projects as a main agent with threads that share memory, artifacts, and routines. They say they built three business projects in 48 hours and cover design mode, token tracking, and why work happens in threads.
In a conversation with Sanskar Tiwari, the hosts work through researching a business idea, building an MVP with Claude Code, positioning it, setting up payments, finding customers, creating marketing content, and running ads. Tiwari also discusses managing products without developers.
Updated every two days · Last updated 2026-09-26
Claude Code / Anthropic
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Developers Can Submit and Publish Plugins for Claude
Anthropic has opened a portal for plugin submissions. Developers can check the status of their review and, after publication, see how their plugins are being used.
Personal Connections Can Join Claude Team Conversations
Personal connectors are now available in Claude Tag channels. Team members can access information from their own connected services within a team conversation.
Can AI Agents Convey Their Owners' Tastes When Trading Books?
Anthropic published an experiment in which Claude agents, after hearing participants' preferences, negotiated book exchanges with one another. It explores how well an AI can reflect a person's tastes when choosing on their behalf.
ChatGPT Ads Expand to Six Southeast Asian Countries and Taiwan
OpenAI announced that it will expand ChatGPT Ads to six Southeast Asian countries, including Indonesia, and Taiwan. Ads will be available in more than 60 countries.
Airbnb Expands GPT-6 Astra Access for Development Teams
Airbnb is making OpenAI's latest model more widely available to its engineering and product development teams. Alongside their existing use of Codex, they will use it to investigate difficult bugs and explore design decisions.
OpenAI Academy to Expand Local Opportunities to Learn AI
Reflecting on two years of the Academy, OpenAI outlined plans to create more opportunities for teachers, small business owners, and others to learn how to use AI in their work.
Android Studio Lets Developers Choose Their AI Coding Agent
Google announced a feature for integrating external development agents into Android Studio. Developers can choose agents such as Claude Agent, Codex, and Antigravity for app development.
Google Cloud announced a public plugin to help migrate from AWS EKS to GKE. AI converts the configuration and submits proposed changes after defined checks and human review.
Google Research Explores AI for Consistent Long-Form Video
Google Research published work on creating long videos that remain consistent across multiple scenes. The AI checks the structure and connections between scenes as production proceeds.
Runway announced a plugin for DaVinci Resolve Studio. Editors can generate or transform footage they are working on, then return it directly to the media bin or timeline.
YouTube announced an editing feature for Shorts and YouTube Create that lets users remove unwanted pauses and rearrange scenes through conversation. They can continue adjusting the edit manually.
Sony Music Joins Effort to Shape AI Rules for Music
Sony Music Group has joined ARIAM, an international organization focused on AI in the arts and media, as its first music company. It will take part in developing rules that protect creators and users.
Stability AI Explains Terms for Adding Music Generation to Apps
Stability AI explained how to integrate Stable Audio 3.0 into other music apps and outlined the licensing terms. The information can help developers decide how to offer generation features to users.
Liquid AI Adds a Model to Speed Up Compact Vision AI
Liquid AI released an auxiliary model for LFM2.5-VL, which handles images and text. It anticipates the next word, and in the company's tests increased generation speed on devices.
Gemini Speech Models Let Users Specify How a Voice Sounds
Google announced Gemini 3.8 Flash TTS and a lighter version. Users can describe the speaking pace and voice quality they want for audio content and conversational apps.
DAYJOB Measures Whether AI Can Finish Real-World Work
Surge AI released DAYJOB, a benchmark covering long tasks in healthcare and finance. In the company's evaluation, even the highest-scoring model completed only about a quarter of the tasks across the two fields.
Ringg published a case study on phone and chat support using OpenAI models. According to the company, its AI handles more than 7 million calls a month and resolves up to 65% of requests.
Scribd Uses AI to Classify More Than 400 Million Uploaded Documents
Scribd said it used Gemini batch processing to classify more than 400 million uploaded documents for trust and safety. It is an example of reviewing a large volume of material at once.
AlloyDB Tests On-Demand Separation for Heavy AI Queries
Google Cloud is testing a mechanism in AlloyDB for AI agents. It moves workloads that read production data into a separate environment that starts when needed.
