OpenAI
@OpenAIWe’ve shared details on how AI agents in our research environment sent training and evaluation data to third-party services when they shouldn’t have. Most of that data did not come from users. We have discovered 53 cases where images that people had uploaded were posted to image-hosting sites as links that weren’t publicly listed. The images came from accounts that allowed their data to be used to improve our models, and after we disassociated the images from the accounts and ran them through a privacy filter. These cases occurred before the mitigations and safeguards we implemented and described in this blog post: https://t.co/hfxlbiYv8n We have successfully worked with the hosting providers to remove most of this content and are working to remove the rest. https://t.co/9oNyG8Y0UX
♡ 5.2K likes↻ 686 reposts↳ 857 replies
Model Updates & Workflows
Turn model changes into useful choices: what to try, how to use it, and where it falls short.
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Page 12 of 15September 25, 2026
OpenAI
@OpenAIAfter the Hugging Face incident, we committed to conducting a much broader review of actions taken by our models during training and evaluation and to being transparent about our findings. This is an extensive review that is ongoing. The vast majority of actions we’ve reviewed were completions of mundane research tasks, such as accessing publicly available web content to answer questions. Our investigation focuses on instances where agents interacted with third-party websites in ways that went beyond their assigned tasks or intended methods. Most cases identified so far have been lower severity, with limited or no evidence of meaningful impact to the third-party service. While our review is underway, we want to share more about this work and make sure people understand our disclosure process and notifications to affected third parties. Given the scale of the review required, and the need to assess each case, we expect this work will take months to complete. https://t.co/IH4TkS72Vh
♡ 3.3K likes↻ 361 reposts↳ 440 replies
Google AI
@GoogleAICheck out this week's updates and releases: — Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS, two of our most expressive audio generation models yet — Gemini 3.8 Live with Live Avatar, bringing near real-time visual presence to Gemini’s conversational AI — @Gemini_Notebook Interactive Learning Overviews, giving all users an interactive hub to combine source summaries and artifacts — Live Chat on the @Gemini_Notebook mobile app, bringing real-time, hands-free voice conversations across ~100 languages — Project Suncatcher, our moonshot announced last year, will launch a prototype satellite to test @Google TPUs in orbit and explore solar-powered AI compute in space
♡ 521 likes↻ 45 reposts↳ 70 replies
September 24, 2026
Fluixo
@fluixoohttps://t.co/66ag0Vy2Qu
♡ 36 likes↻ 0 reposts↳ 10 replies
AI at Meta
@AIatMeta@finkd just unveiled Muse Realtime Avatar, our real-time embodiment technology that turns Muse Realtime Voice into expressive, interactive avatars. Muse Realtime Avatar enables an entirely new range of interactions in @Muse, starting with real-time conversations. 🧵👇 #MetaConnect
♡ 474 likes↻ 56 reposts↳ 73 replies
Simon Willison
@simonwI just had a voice conversation with the Datasette backup of my blog via datasette-mcp, which you can now talk to using the ChatGPT iPhone app
♡ 162 likes↻ 12 reposts↳ 105 replies
AI at Meta
@AIatMetaWe put Muse Realtime Avatar head-to-head with two leading commercial avatar systems in their own live-call products. Raters held 2–3 minute conversations with matched avatar identities, then compared visual quality, sync, character consistency, and mannerisms. Muse Realtime Avatar came out ahead on overall preference.
♡ 24 likes↻ 3 reposts↳ 7 replies
AI at Meta
@AIatMetaRead our research blog to learn more about Muse Realtime Avatar: https://t.co/pVq9K0fxCG
♡ 21 likes↻ 2 reposts↳ 4 replies
September 23, 2026
Anthropic
@AnthropicAIClaude has discovered a previously unknown enzyme system hidden in the DNA of bacteriophages. Beside the enzyme’s gene sits a long array of repeating DNA—a structure that looks somewhat similar to CRISPR. We don’t yet understand what this system does, but only a handful of known systems share its features, and all of them are able to cut, copy, and paste DNA. Historically, the discovery of such programmable systems has helped revolutionize medicine. CRISPR, for instance, is now the foundation of genetic medicines. But it will take much more work to learn what this system does, and whether it can be put to similar use. Read more: https://t.co/RuEosScSMb
♡ 41K likes↻ 5.3K reposts↳ 1.6K replies
Qwen
@Alibaba_Qwen⚡ Meet Qwen-Audio-3.1! ASR, TTS & Realtime are fully upgraded, joined by two new models: TTS-Next for audio creation and ASR-Next for audio understanding. Five models, one complete audio stack: understanding, generation, interaction & creation. Plus big price cuts across the lineup: TTS ~70% off, Realtime ~85% off, and ASR up to 95% off. Highlights: 🥳 - ASR: stronger multilingual & dialect recognition, plus native polishing that auto-removes fillers & repetitions for cleaner, more logical transcripts. - ASR-Next: supports multi-speaker ASR with speaker labels, timestamps & aligned transcripts, and understands emotions, ambient & machine sounds for sound captioning, event localization, audio QA & reasoning. - TTS: multilingual & dialect synthesis with natural cross-lingual voice transfer; control emotion, speed & style via simple instructions. - TTS-Next: unified LM + diffusion framework generating voice, sound effects & background audio in one pass for audiobooks, podcasts, games & ads. - Realtime: speak & listen at once with anytime interruption, just like a real call; it even slows down and responds empathetically when it senses a low mood. Unlock the full potential of Qwen-Audio-3.1! 👇 - Blog: https://t.co/e0M8wvj8Kg - Qwen-Audio-3.1-ASR: https://t.co/88lPQTPxyz - Qwen-Audio-3.1-Realtime: https://t.co/Y63sdtK2AC - More APIs: coming soon @qwen_cloud
♡ 4K likes↻ 356 reposts↳ 136 replies
Qwen
@Alibaba_QwenIntroducing Qwen Intelligence, bringing personal intelligence within everyone's reach. 📱✨ It launches with three SOTA agents: 🥳 - Mobile Planner Agent: plans, decomposes & orchestrates complex tasks. #1 on MobilePA-Bench, MobilePA-Bench Business & Memory. - Mobile-Use Agent: gets things done, API-first with GUI fallback. MobileWorld 82.1, MobileWorld-Real 92.2, AndroidDaily 97.2, 90% end-to-end success rate. - Mobile Creative Agent: turns one sentence into ready-to-use creations. Image generated in 3s, about 2x faster than leading peers. We're also opening up our benchmark suite: MobilePA-Bench, MobileWorld, MobileWorld-Real, and MobileWorld-Safety, covering planning, cross-app execution, real-device performance and safety. 🔗 Learn more about the agents: - Qwen Intelligence official website: https://t.co/ZJJYJtmJIL - Mobile Planner Agent: https://t.co/M0Wxpoa00x - Mobile-Use Agent: https://t.co/vvQtbUAagJ - Mobile Creative Agent: https://t.co/gWWOmrSIqV 🔗 Explore our open benchmark suite: - MobilePA-Bench: https://t.co/9nXxzG0Ygp - MobileWorld (GitHub): https://t.co/POvERSuCSJ - Leaderboard: https://t.co/YYOw8bmJ6H
♡ 2.9K likes↻ 302 reposts↳ 142 replies
OpenAI
@OpenAIWe heard you loud and clear. ChatGPT Voice can now: - Use plugins like your email, calendar, and Slack. - Be powered by GPT-6 Astra, Sol, and Luna. - Be used in ChatGPT Work on web and mobile, so you can create docs, decks, sites, and spreadsheets or tackle complex tasks in the browser, just by talking. Rolling out globally today in the latest version of the app.
♡ 12K likes↻ 915 reposts↳ 801 replies
Anthropic
@AnthropicAIThis is the first result from our new molecular biology lab, where a team of Anthropic biologists is using Claude to explore and accelerate fundamental biology research. There, Claude works through data and literature to generate hypotheses and candidate biological systems to study. After our scientists review Claude’s hypotheses, they test the most promising ideas, with all lab work done by our scientists. We’d like to extend this approach to a broad range of problems—in genomics and in other fields. If you have a proposal for a research question, we’d like to hear from you.
♡ 4.9K likes↻ 292 reposts↳ 188 replies
Simon Willison
@simonwThe new Gemini 3.8 TTS models are super-cheap and can generate conversations between multiple voices (from 2,000+, or you can clone your own) - I built a little UI for it, then had Claude knock up a script where two pelicans debate moving to Pacifica Pier https://t.co/7PFM1ASAOl
♡ 668 likes↻ 30 reposts↳ 87 replies
OpenAI
@OpenAIWe’re demonstrating how frontier models have continued to improve in realistic mental health conversations with MentalHealthBench. This new open benchmark was built with input from more than 80 mental health clinicians. We’re releasing it openly so other researchers can examine the methods, run their own evaluations, and build on the work. https://t.co/VTm5ZgxJbl
♡ 4.7K likes↻ 276 reposts↳ 554 replies
Anthropic
@AnthropicAIIn the Democratic Republic of the Congo, global health organizations including @CEPIvaccines, @WHOAFRO, and @inrb_kinshasa are using Claude to accelerate their response to an outbreak of an unusual Ebola variant. Read the full piece here: https://t.co/lQKx17Mxc3
♡ 977 likes↻ 81 reposts↳ 176 replies
Google AI
@GoogleAIWe’re launching Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS ⚡️ Our most expressive audio models yet let you create custom voices across 100+ languages or pick from 2,000+ ready-to-use ones. You can direct back-and-forth conversations, guide the delivery line-by-line, and add natural cues like <laughs> or an active listening interjection like |mhm| all while generating hours of consistent, glitch-free audio. Sounds pretty cool, right? So… how should you use them? — Gemini 3.8 Flash TTS: Need to design bespoke vocal personas from scratch and with line-by-line level control? This is the model! Built for high-fidelity creative production like gaming, immersive audiobooks, and podcasts. — Gemini 3.8 Flash-Lite TTS: Want the AI to automatically adjust its tone and pacing on the fly for near real-time voice agents? This is your engine! Built for cost-efficient scale, high-volume dubbing, and bulk audio creation.
♡ 2.1K likes↻ 208 reposts↳ 131 replies
Google DeepMind
@GoogleDeepMindCreate and deploy custom audio with our new text-to-speech models: 🔵 Gemini 3.8 Flash TTS: Design unique voices with distinct accents and characteristics. 🔵 Gemini 3.8 Flash-Lite TTS: Built for efficiency and scale, choose from your created styles or our expansive production-ready library.
♡ 668 likes↻ 83 reposts↳ 182 replies
Qwen
@Alibaba_QwenThanks @arena for the recognition! 🏆 Qwen-Image-2.1 is now the #1 open-source model in both the Image Edit and Text-to-Image Arenas. Try it now and show us what you create! 🎨
♡ 544 likes↻ 27 reposts↳ 33 replies
Simon Willison
@simonwSeems to cost less than 1 cent per minute of generated audio for Flash, and Flash-Lite is even cheaper than that
♡ 41 likes↻ 0 reposts↳ 4 replies






