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Dessa laughs and responds mid-conversation, learning from speech alone
Block’s voice AI Dessa expresses timing and vocal tone as well as words: its examples include laughing mid-sentence and helping recall a movie. The published conversations are drawing responses on Reddit.
Learning from sound, without converting it into text
Block says Dessa was trained from scratch using only human conversation audio, without text or pretrained models. It can listen and speak at the same time, allowing brief responses before the other person finishes.
The official page presents live recordings of people talking with the model. Block says Dessa chooses its voice and timing, with subtitles added afterward.
Conversation demos and early research access
Block says it runs locally on a MacBook Pro M4 Max or better. It is inviting early access for researchers rather than offering broad general availability.
At observation, one Reddit post displayed 494 votes. That records a reaction to the demonstration, not verified evidence of consistent response quality for every user.
What stands out in Dessa’s examples is how it laughs and responds before the other person finishes. Expression comes from when it replies as well as what it says.
A brief acknowledgment can make it easier to keep talking. Small moments like that shape a voice experience.
ElevenLabs’ live translation also lets people hear their own language while a conversation unfolds. Teams can adjust when translation begins to suit the kind of discussion.
Together, these announcements make possible experiences more concrete: reacting briefly during an explanation, following a correction, and keeping the exchange going across languages.
Consider a conversation about choosing a product. Alongside stating every requirement before receiving an answer, people could think aloud, check details along the way and narrow their options. The middle of the conversation becomes something designers can shape.
Consulting a voice AI is expanding into an experience of thinking together while speaking.
Three approaches are compared: text alone, a character image with text, and a character image with a reference video. The workflow covers character creation in Higgsfield, motion recreation with Genjutsu, outfit and background changes, and corrections to unsuccessful scenes.
The description lists beginner and intermediate Illustrator courses, a book, and related resources. No caption excerpt is supplied, so it does not establish the Claude–After Effects workflow or model details suggested by the title.
The creator describes delegating editing to Claude Code for a 15-second promotional clip, HeyGen avatar footage, and character videos made with Google Flow. The walkthrough includes actual instructions, failed attempts and fixes, and turning the workflow into reusable skills.
The description identifies the content as a Manus promotion and links to the game “Suugaku War,” alongside a free-credit offer. It also promotes Kono Juku courses, but provides no specific evidence of learning outcomes or details of how the game was built.
The program interviews Meta’s Alexandr Wang about its stated Japanese rollout of Muse and its personal AI strategy. Topics include envisioned shopping and travel assistance, remembering conversations, rebuilding AI development with Mark Zuckerberg, and safeguards for using AI.
The promotional description claims Memoket Gem transcribes 153 languages and produces summaries with decisions and action items. It advertises an Apple Watch co-wear band, optional pendant or clip accessories, and memory across conversations; these are product claims rather than verified performance results.
The tutorial uses code written by Claude to create motion graphics and animated explainers. It introduces a free collection of 86 styles and prompts, covers generation without narration, and shows how to synchronize animations with the words in a voiceover.
Drawing on a claimed year of daily Claude use, the creator guides viewers through workspace configuration and features. Topics include permissions, Plan Mode, CLAUDE.md, memory, skills, subagents, MCP integrations, context management, parallel sessions, and code review. The caption identifies Anthropic as the sponsor.
Updated every two days · Last updated 2026-10-25
Claude / Anthropic
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Claude Duet opens a US preview for proactive assistance
Claude Duet monitors connected apps, surfaces priorities and carries out assigned tasks. The research preview starts with a waitlist for US Pro and Max subscribers; sending messages and making payments require approval.
Claude Security follows code changes through to fixes
The public beta for Claude Enterprise adds continuous scanning and fix tracking. Team-provided context informs scans, while an API and MCP connector bring findings into existing workflows.
HCLTech plans dedicated Claude teams and product integrations
HCLTech announced a partnership with Anthropic, including a dedicated business unit and center of excellence. It plans to integrate Claude into selected products and its AI Force IT services platform.
OpenAI announced planned access through Google Cloud, including purchases against existing cloud commitments and integration with Google Antigravity. General availability is planned in the coming weeks.
OpenAI reports coordinated response to AI-discovered PHP flaws
OpenAI describes working with PHP maintainers and security partners on fixes and disclosure. It shares a PHP version-checking Codex skill and proposes a coordination framework for future critical findings.
OpenAI says ChatGPT Ads now reaches 89 countries and has been used by more than 100,000 advertisers. Ads remain limited to Free and Go; Plus, Pro and Enterprise stay ad-free.
The consolidated GitHub app in Teams connects notifications to Copilot investigation, fixes and pull requests. Teams review, test and merge the resulting changes.
Agents Window 3.27 restores Project split panes and their focused work after reloads. A single setup row also keeps the conversation steadier while a new Project initializes.
Hugging Face maps out a curriculum for training agents
A five-step curriculum uses coding agents to explain learning from demonstrations, teacher models and outcomes in real environments. It links diagrams, videos, code and documentation; it is educational material, not a new model.
Mundo turns room photos into simulated moving scenes
Mundo builds a rough 3D world from images or video and uses physical simulation to guide video generation. Demonstrations include drawers and robots; these are generated simulations, not recordings of real-world actions.
Luma’s guide uses a short-film project to explain reference roles, character consistency, camera movement and multi-shot sequences. It is a prompting guide, not a new model announcement.
An October 22 guide covers inputs, pricing and implementation for Wan 3.0 and its faster Prime tier. These generate video with sound from prompts and references; the article is not a new model launch.
Chroma Awards opens its second season, including AI music videos
ElevenLabs announced submissions across five creative divisions. A dedicated music-video award recognizes entries making significant use of ElevenMusic in their soundtracks.
Recursive released a coding model and inference engine for local hardware. It says its automated research system helped develop training and inference; speed and comparative performance are vendor-reported.
Ai2 released OlmoEarth v1.3, precomputed satellite features and a browser explorer for changes and similar places. Global coverage spans 2023–2025; 2017–2022 covers selected countries.
NVIDIA brings together over 2,000 simulation-ready 3D assets
SimReady Central offers free 3D assets with properties for simulation, including robots and infrastructure. Developers can check each asset’s supported capabilities and combine them for training or layout studies.
ElevenLabs opens an enterprise alpha for live voice translation
Eleven Realtime Translation lets each participant speak and hear their own language during a conversation. The ElevenAPI enterprise alpha targets calls and contact centers, with tunable translation timing.
IBM tests customer-service agents that learn a playbook
ALTK-Evolve distills successes and failures into short guidelines for subsequent conversations without changing model weights. IBM reports improvements on a customer-service benchmark, not commercial outcomes.
Copilot metrics now include clients such as OpenCode
GitHub adds client-level model request and token totals to the usage metrics API, including use outside editors. Request counts represent model calls and should not be equated with user prompts.
