We’ll be @ #TorontoTechWeek on 5/27 w/ • Haider Zaidi, Deployed Engineer @LangChain • Jasen Mackie, Senior Principal AI Engineer @Questrade RSVP: https://
luma.com/axp0tudp We'll walk through what it actually takes to deploy long-running agents & the runtime capabilities that
AI
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Event: Deploying Long-Running AI Agents at Toronto Tech Week
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@elevenlabs — 2026-05-19
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The Einstein agent demonstrates how voice AI can unlock more interactive, accessible and multilingual education experiences. Try it here:
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ElevenLabs launches Einstein voice agent to bring archives to life
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Voice agents add a new dimension to learning.
— ElevenLabs (@ElevenLabs) 19 mai 2026
Today, we're introducing Albert Einstein's voice to ElevenLabs, and launching an Einstein agent, to bring his written archives to life in his iconic voice. pic.twitter.com/UD57Sfklr7Voice agents add a new dimension to learning. Today, we're introducing Albert Einstein's voice to ElevenLabs, and launching an Einstein agent, to bring his written archives to life in his iconic voice.
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Acquisition to accelerate development of agentic AI for pharma
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This brings Reliant’s domain-specific technology and exceptional team into our mission to deliver secure AI systems for the world's most regulated sectors. It expands our vertical product suite and accelerates the development of North for Pharma—a purpose‑built agentic AI
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Odyssey Launches Starchild-1 for Real-Time Generative World Models
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World models just leveled up.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 19 mai 2026
Odyssey's Starchild-1 is the first AI that generates synchronized audio AND video in real-time — while responding to your inputs as it runs.
Not a clip. Not a render. A living, interactive world.
This is what general world intelligence looks like… pic.twitter.com/qitkjOBPJlWorld models just leveled up. Odyssey's Starchild-1 is the first AI that generates synchronized audio AND video in real-time — while responding to your inputs as it runs. Not a clip. Not a render. A living, interactive world. This is what general world intelligence looks like
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Llama.cpp MTP: 2x generation speed with multi-token prediction
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I've seen some confusion online on how to run llama.cpp with MTP (Multi-token prediction) in the simplest way possible. ICYMI, MTP is a new flavor of speculative decoding built-in to the model itself, that ~2x your tokens per sec for most use cases. 2x generation speed = Truly
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EU AI regulation critique and preemptive harm concerns
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I don't believe pre agreeing anything works – eg EU did AI regulation which they started drafting before ChatGPT, as a result it is pretty much harmful without any of the benefits. Preparing some framework before we know what the world looks like could be harmful too. For
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Prompt injection risk and Claude Code protections
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Prompt injection risk yes, Claude Code has protections against that though but yes valid point
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RAG vs. Cache-Augmented Generation: Optimizing Query Efficiency
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RAG vs. CAG, clearly explained!
— Akshay 🚀 (@akshay_pachaar) 19 mai 2026
RAG is great, but it has a major problem:
Every query hits the vector DB. Even for static information that hasn't changed in months.
This is expensive, slow, and unnecessary.
Cache-Augmented Generation (CAG) addresses this issue by enabling the… https://t.co/WF8cHwTi7v pic.twitter.com/UwQy0ouxHQRAG vs. CAG, clearly explained! RAG is great, but it has a major problem: Every query hits the vector DB. Even for static information that hasn't changed in months. This is expensive, slow, and unnecessary. Cache-Augmented Generation (CAG) addresses this issue by enabling the
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Cloudflare evaluates Anthropic’s Mythos model on internal code repositories
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Cloudflare pointed Anthropic's Mythos Preview at 50+ of their own repos. They call it a step-function forward "Mythos Preview is a real step forward, and it's worth saying that plainly before getting into anything else." The big finding isn't the bugs it caught – It's that the