My takeaway: The next wave of AI audio will not be about sounding human. It will be about being controllable, consistent, expressive, and trustworthy. Watch the full video for the breakdown. Where do you think directed AI voice will create the most value first, media,
GENERATIVE AI
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AI voice use cases for podcasts, training, and storytelling
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Think about the use cases: → AI podcasts with distinct hosts
→ Training simulations with realistic dialogue
→ Storytelling with emotional range
→ Assistants that sound more natural
→ Multi-speaker conversations where every voice has a personality This is not just -
Using Audio Tags to Guide AI Speech Expressiveness
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The old limitation was not clarity. AI voices were already clean and understandable. The real limitation was control. Most AI speech sounded like it was reading a script. Now, with audio tags, we can guide how the AI speaks, not just what it says. That changes the creative
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Google Gemini 3.1 Flash enables expressive AI voice performance
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AI voice is no longer just text-to-speech.
— Ronald van Loon (@Ronald_vanLoon) 13 mai 2026
It is becoming text-to-performance.
With @Google’s Gemini 3.1 Flash TTS, you can now direct an AI voice almost like an actor:
Tone.
Emotion.
Pacing.
Delivery shifts mid-sentence.
Here’s why that matters… pic.twitter.com/khSiU8knkfAI voice is no longer just text-to-speech. It is becoming text-to-performance. With @Google
’s Gemini 3.1 Flash TTS, you can now direct an AI voice almost like an actor: Tone.
Emotion.
Pacing.
Delivery shifts mid-sentence. Here’s why that matters… -
Kaiming He’s Team Introduces ELF for Continuous Embedding Language Modeling
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Huge! Language models could generate text as smoothly as AI creates images now! Kaiming He's team introduces ELF (Embedded Language Flows). Instead of operating on discrete tokens, ELF stays in a continuous embedding space until the final step, borrowing proven techniques like
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12 Ways to Utilize Claude AI
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𝟏𝟐 𝐈𝐧𝐬𝐚𝐧𝐞 𝐓𝐡𝐢𝐧𝐠𝐬 𝐓𝐡𝐚𝐭 𝐘𝐨𝐮 𝐂𝐚𝐧 𝐃𝐨 𝐰𝐢𝐭𝐡 𝐂𝐥𝐚𝐮𝐝𝐞!#Claude #artificialintelligence #AI #GenerativeAI #GenAI #LLMs #LLM #MCP #RAG #AgenticAI #AIAgent@sonu_monika @enilev @Jagersbergknut @TysonLester @chidambara09 @labordeolivier @BetaMoroney… pic.twitter.com/H5simrH6mk
— Amitav Bhattacharjee (@bamitav) 13 mai 2026𝟏𝟐 𝐈𝐧𝐬𝐚𝐧𝐞 𝐓𝐡𝐢𝐧𝐠𝐬 𝐓𝐡𝐚𝐭 𝐘𝐨𝐮 𝐂𝐚𝐧 𝐃𝐨 𝐰𝐢𝐭𝐡 𝐂𝐥𝐚𝐮𝐝𝐞! #Claude #artificialintelligence #AI #GenerativeAI #GenAI #LLMs #LLM #MCP #RAG #AgenticAI #AIAgent @sonu_monika @enilev @Jagersbergknut @TysonLester @chidambara09 @labordeolivier @BetaMoroney
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Generative AI’s net negative societal impact debated
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sure there have been some positive uses cases. but that what is marred by how many artists would screwed in the process. and this is just one of many negative consequences. in my overall judgement, genai has on net has been a negative for society.
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Technical insights on AI agent memory and LoCoMo accuracy
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This article is the clearest Chinese piece I've seen recently on Agent memory. Disclosure: That EverOS mentioned in the article is made by us @EverMind
. Adding three points: 1. That 93.05% LoCoMo accuracy isn't some paper hype number—it's from a script you can run straight from -
Leveraging Multi-Agent Architectures and AI Models for Business Growth
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🚨 Agent Swarms Help Create Billion Dollar Companies
— Abacus.AI (@abacusai) 13 mai 2026
Use SOTA AI models including
– Opus 4.7 and Sonnet 4.6
– GPT 5.5
– Nano Banan Pro
– SeeDance 20
to create multi-agent architectures with swarms of agents
Thousands of people are using these multi-agent systems to run… pic.twitter.com/HvMmDnAS14Agent Swarms Help Create Billion Dollar Companies Use SOTA AI models including – Opus 4.7 and Sonnet 4.6
– GPT 5.5
– Nano Banan Pro – SeeDance 20 to create multi-agent architectures with swarms of agents Thousands of people are using these multi-agent systems to run -
ELF: Embedded Language Flows — arXiv paper
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ELF: Embedded Language Flows Hu et al.: https://
arxiv.org/abs/2605.10938 #ArtificialIntelligence #AIAgents