The Neuron: AI Explained

Standard Bots CEO Evan Beard explains why industrial robots are finally starting to move beyond brittle point-by-point programming. Instead of teaching a robot one exact path, teams can increasingly describe a task, demonstrate it through teleoperation or guided motion, and let the system learn how to handle variation in the real world.

The conversation covers natural-language robot programming, learning by demonstration, ugly factory edge cases, the reliability bar for production, and why the most important robotics progress may look less like a humanoid stunt and more like a machine that can handle a shifted part without calling an engineer.

Relevant Article Links:

https://standardbots.com/

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Sponsored by Outshift by Cisco. Learn more: https://outshift.com

Sponsored by Origin. Learn more: https://originhq.com/AIexplained

Neurosurgeon-scientists Alex Ksendzovsky and Jon Pomeraniec explain how The Biological Computing Company uses living neurons as a research platform for AI. Their team grows roughly 150,000 cells on a 4,096-electrode array, sends in patterns such as handwritten digits, records how the neurons respond, and models useful computational behaviors in software. They say those neuron-inspired techniques are already helping GPU-based video-generation systems run about 5x faster with roughly 80% lower inference cost, while their longer-term work explores robots, world models, and real-time biological compute.

Relevant Article Links: https://app.tbc.co

https://www.youtube.com/watch?v=R4eKRihw9f4

Subscribe to The Neuron newsletter: https://theneuron.ai

Sponsored by Mercor: Check out the AI Productivity Index (APEX) here: https://www.mercor.com/apex/?utm_source=neuron&utm_medium=podcast&utm_campaign=apex&utm_content=10_7

Sponsored by Outshift:“Scaling Out Superintelligence” Vijoy Pandey, January 2026. The technical whitepaper detailing the Internet of Cognition architecture, three-layer stack, and cognition state protocols. https://outshift.cisco.com/internet-of-cognition/whitepaper?utm_campaign=fy27q1_outshift_ww_paid_ioc-neuron-wp_podcast&utm_channel=podcast&utm_source=podcast

Internet of Cognition Interactive Demo Clickable walkthrough showing per-agent activity, intent, context, and collective reasoning across a multi-agent SRE system.https://outshift.cisco.com/internet-of-cognition/explore?utm_campaign=fy27q1_outshift_ww_paid_ioc-neuron-explore_podcast&utm_channel=podcast&utm_source=podcast

OpenAI just dropped 20+ announcements at DevDay 2026, so... yeah, we have some things to talk about. 😺

We’re going to break down what OpenAI announced, what actually matters, and what could change how you use AI.

🤖 OPENAI DEVDAY 2026

OpenAI’s biggest reveal was Dots, always-on AI agents powered by GPT-6 Astra. They get their own cloud computer, connect to 4,000+ apps, learn how you work, and keep working in the background.

OpenAI also unveiled ChatGPT Space, collaborative Pages and Slides, Codex in the cloud, the Decisions API, plugin extensions, a $500 Pro plan, and more.

DevDay recap:https://openai.com/index/devday-2026-recap/

Then there’s GPT-6.1 Sol, which OpenAI says gets close to Astra-level performance on coding, computer use, and professional work at roughly one-fifth of Astra’s standard token price.

https://openai.com/index/introducing-gpt-6-1-sol/

📰 AND THAT’S NOT ALL...

We’ll also get into:

⚡ Claude Sonnet 5.5, Anthropic’s faster, cheaper Sonnet update.

🌎 AMD buying Fei-Fei Li’s World Labs for $8.2B.

🛡️ NVIDIA’s new agent safety system with hardware-level monitoring.

🏢 Meta’s new enterprise AI business around Muse, Muse Code, Business Agent, and more.

🤖 Manus 2.0 + Cue, including personal agents with their own computer, phone number, email, and wallet.

🔥 Plus whatever AI news happens before we go live.

What happened? What can you actually use? And are we about to have tiny armies of AI employees running around the internet for us?

Come hang, ask questions, and disagree with us in chat. 👇

🤖 OpenAI DevDay 2026:https://devday.openai.com/

🎥 Official DevDay keynote:https://www.youtube.com/watch?v=Fls_onRviPM

😺 Get The Neuron:https://www.theneuron.ai/

Runway co-founder Anastasis Germanidis explains Solaris, an “interface world model” that generates software frame by frame instead of rendering a traditional interface from HTML and CSS.

The model reacts directly to clicks, drags, and keyboard input, while language models or agents can still handle logic and tool calls behind the scenes. The conversation explores personalized interfaces, local-versus-cloud world-model architecture, robotics simulation, and Runway’s longer-term bet that world models could become a new foundation for software, games, and physical AI.

Relevant Article Links:

• Runway Solaris: https://runway.com/news/research/introducing-solaris

• Solaris paper: https://arxiv.org/abs/2609.00776

• Runway GWM Worlds: https://runway.com/research/introducing-gwm-worlds-2

• Robot policy evaluation: https://runway.com/research/accelerating-robot-policy-evaluation

Subscribe to The Neuron newsletter: https://theneuron.ai

Sponsored by Dell Technologies and NVIDIA. Learn more at techrepublic.com/hubs/the-enterprise-guide-to-scalable-ai/.

OpenAI DevDay 2026 is here, and we’re hosting a watch party to watch the keynote LIVE.

Join Grant Harvey and Corey Noles from The Neuron as we react to OpenAI’s biggest DevDay announcements in real time, figure out what’s actually new, and translate the demos into what they mean for the rest of us.

📅 OPENAI DEVDAY KEYNOTE:

Tuesday, September 29

10:00 AM PT / 12:00 PM CT / 1:00 PM ET

Featuring Sam Altman

We’ll be following OpenAI’s stream and weighing in as everything gets announced.

New models? Agents? Developer tools? Something completely unexpected?

Whatever OpenAI ships, we’ll break it down, explain the demos in normal-person English, and call out what actually matters.

What to expect:

🤖 Live reactions to OpenAI’s biggest DevDay announcements

🧠 Plain-English explanations of what each new model, tool, or API actually does

💼 What developers, businesses, and everyday AI users should pay attention to

🔍 Our take on what matters versus what just looks good in a demo

👀 The inevitable Grant + Corey speculation when OpenAI shows something weird

Official OpenAI DevDay page + livestream:https://devday.openai.com/

Get our full AI news breakdown in The Neuron:https://theneuron.ai

Corey and Grant sit down with Mammoth Biosciences co-founder and CEO Dr. Trevor Martin to explain how CRISPR is moving from a laboratory tool toward one-time medicines.

Trevor breaks down how Mammoth searches massive biological datasets for new CRISPR systems, why AI is useful but still constrained by missing clinical data, and what it would take to build a feedback loop between AI models, wet labs, and human trials. The conversation also covers personalized medicine, the economics of one-time cures, organoids, and why a medical breakthrough may be the clearest way for AI to prove its value to the public.

Mammoth Biosciences - https://mammoth.bio

Subscribe to The Neuron newsletter: https://theneuron.ai

Sponsored by Mercor: Check out the AI Productivity Index (APEX) here: https://www.mercor.com/apex/?utm_source=neuron&utm_medium=podcast&utm_campaign=apex&utm_content=10_7

Sponsored by Outshift:“Scaling Out Superintelligence” Vijoy Pandey, January 2026. The technical whitepaper detailing the Internet of Cognition architecture, three-layer stack, and cognition state protocols. https://outshift.cisco.com/internet-of-cognition/whitepaper?utm_campaign=fy27q1_outshift_ww_paid_ioc-neuron-wp_podcast&utm_channel=podcast&utm_source=podcast

Internet of Cognition Interactive Demo Clickable walkthrough showing per-agent activity, intent, context, and collective reasoning across a multi-agent SRE system.https://outshift.cisco.com/internet-of-cognition/explore?utm_campaign=fy27q1_outshift_ww_paid_ioc-neuron-explore_podcast&utm_channel=podcast&utm_source=podcast

GPT-6 Sol, GPT-6 Luna, AND Claude Opus 5.5 all just dropped. So which model should you actually use?

Join Grant Harvey and Corey Noles from The Neuron LIVE today as we put the newest models from OpenAI and Anthropic head-to-head.

OpenAI says GPT-6 Sol makes roughly half as many mistakes as GPT-5.6 Sol, bringing Astra-level reliability to a much cheaper model, while GPT-6 Luna is designed for fast, high-volume work like summarization, extraction, and quick questions. OpenAI is also dramatically cutting prices, with Sol reportedly coming in at $2 / $10 per million input / output tokens and Luna at just $0.10 / $0.50.

Meanwhile, Anthropic launched Claude Opus 5.5 just 90 minutes earlier. Anthropic says it performs around Claude Fable 5.1 level on most work while costing roughly 40% less to run than Opus 5, generating output more than 30% faster, and communicating more clearly. Its API price is $4 / $20 per million input / output tokens.

And the benchmark fight is already spicy: Anthropic reports Opus 5.5 scoring 66.4% on Terminal-Bench 4.0, 54.4% on FrontierCode, and 1,846 Elo on GDPval-AA v2.1, with particularly strong results in coding, computer use, and professional knowledge work.

On the livestream, we’ll break down:

⚔️ GPT-6 Sol vs. GPT-6 Luna

🤖 Claude Opus 5.5 vs. OpenAI’s newest models

💻 Coding, reasoning, writing, agents, and everyday work

💰 Pricing and what it means for AI users

🎯 Which model fits which kind of task

🧪 First reactions and live testing

💬 Your questions from the chat

If you’ve been wondering whether to use GPT-6 Sol, GPT-6 Luna, Claude Opus 5.5, or GPT-6 Astra, come hang out and test them with us.

🔴 LIVE: 3 PM CT / 1 PM PT

Subscribe to The Neuron newsletter: https://theneuron.ai

Models mentioned:

GPT-6 Sol + Luna: https://openai.com/index/introducing-gpt-6-sol-and-luna/Claude Opus 5.5: https://www.anthropic.com/claude-opus-5-5

AI voices can already sound startlingly human. The harder problem is whether they actually understand how humans speak.

Andrew Ettinger, CEO of Hume AI, joins Corey Noles and Grant Harvey to explain why voice AI still has a “listening problem.” A transcript can capture the words someone says while stripping away tone, hesitation, frustration, background noise, dialect, speaker identity, and the other signals that shape what those words actually mean.

The conversation explores how Hume evaluates voice systems against real-world conditions, why emotion is better understood as a high-dimensional spectrum than a handful of neat labels, what breaks during long-running voice interactions, how speech-to-speech systems and AI voice agents could become a primary interface for computing, and what new safety and personalization challenges appear when AI starts talking back.

If you want to understand what has to improve before voice AI feels truly natural—not just realistic—this episode is a practical look at the infrastructure, evaluation, and human feedback behind the next generation of spoken AI.

Subscribe to The Neuron at https://theneuron.ai for more AI news and analysis.

Sponsored by SAS: Grow faster and scale confidently with trusted AI solutions. Visit www.sas.com/smb

Sponsored by Origin: Origin is endpoint AI observability. See what a trace looks like at https://www.originhq.com/aiexplained

Sponsored by Outshift: “Scaling Out Superintelligence” Vijoy Pandey, January 2026. The technical whitepaper detailing the Internet of Cognition architecture, three-layer stack, and cognition state protocols. https://outshift.cisco.com/internet-of-cognition/whitepaper?utm_campaign=fy27q1_outshift_ww_paid_ioc-neuron-wp_podcast&utm_channel=podcast&utm_source=podcastInternet of Cognition Interactive Demo Clickable walkthrough showing per-agent activity, intent, context, and collective reasoning across a multi-agent SRE system.https://outshift.cisco.com/internet-of-cognition/explore?utm_campaign=fy27q1_outshift_ww_paid_ioc-neuron-explore_podcast&utm_channel=podcast&utm_source=podcast

OpenClaw 2.0 just landed, and we’re going straight to the person helping build it. 🦞

This week on The Neuron LIVE, Vincent Koc, Chief Architect of OpenClaw, joins us for a hands-on look at the biggest OpenClaw update yet.

Vincent will demo OpenClaw 2.0, break down what’s new, and show how OpenClaw is evolving from an open-source personal AI assistant into a broader agentic computing platform.

We’ll cover:

🦞 OpenClaw 2.0 and the biggest changes

🖥️ The new OpenClaw experience and easier setup

🤖 Running agents across local machines and cloud workers

📊 Interactive widgets, dashboards, and persistent agent work

⚡ New automations, loops, and approval controls

🧠 Local models, memory, and agent interoperability

🐝 Experimental multi-agent features like Swarm

🔐 Credentials, permissions, and agent security

🔮 Where OpenClaw and personal AI agents go from here

Plus, because this is LIVE, we’ll put your questions directly to Vincent while he walks us through the new release.

Whether you’re curious about OpenClaw, already running your own lobster, or want to see how far personal AI agents have come in 2026, this is one to watch.

Subscribe to The Neuron for practical AI news, analysis, interviews, and demos without the hype.

AI infrastructure used to be the part developers were supposed to forget about. What happens when the infrastructure itself starts determining what AI can do

Corey Noles sits down with Chen Goldberg, Executive Vice President, Product & Engineering at CoreWeave, to unpack the systems underneath the next wave of AI. Using CoreWeave’s newly announced multi-rack NVIDIA Vera Rubin NVL72 deployment as a jumping-off point, Chen explains why modern AI infrastructure is no longer just a question of how many GPUs you can get. Compute, networking, storage, cooling, observability, security, and orchestration all have to behave like one enormous machine.

The conversation moves from long-running AI agents and latency to Kubernetes, security guardrails, physical AI, energy constraints, and the changing role of software engineers. Chen also explains why CoreWeave sees AI as a transformational rather than incremental shift — and why making this infrastructure accessible matters if the benefits are going to reach more than a small group of companies and researchers.

For more practical AI news, tools, and analysis, subscribe to The Neuron at https://theneuron.ai.

Sponsored by Outshift:“Scaling Out Superintelligence” Vijoy Pandey, January 2026. The technical whitepaper detailing the Internet of Cognition architecture, three-layer stack, and cognition state protocols. https://outshift.cisco.com/internet-of-cognition/whitepaper?utm_campaign=fy27q1_outshift_ww_paid_ioc-neuron-wp_podcast&utm_channel=podcast&utm_source=podcastInternet of Cognition Interactive Demo Clickable walkthrough showing per-agent activity, intent, context, and collective reasoning across a multi-agent SRE system.https://outshift.cisco.com/internet-of-cognition/explore?utm_campaign=fy27q1_outshift_ww_paid_ioc-neuron-explore_podcast&utm_channel=podcast&utm_source=podcast

UPDATE: Blog version here https://theneuron.ai/explainer-articles/github-for-beginners-how-to-use-it-with-ai-coding-agents/

GitHub can feel intimidating if you didn’t come up as a developer, especially now that AI coding agents can build software before you’ve learned what a repo, branch, or pull request even is.

That’s why The Neuron is going LIVE with Cassidy Williams from GitHub for a beginner-friendly walkthrough of how GitHub actually works.

📅 Thursday, September 10

⏰ 12 PM CT / 10 AM PT / 1 PM ET

What we’ll cover:

- What GitHub is and why you’d use it

- How to create an account and navigate GitHub

- Repos, pushing, pulling, merging, cloning, and forking

- How to connect AI coding agents to GitHub

- How to safely push and merge code

- How to work on multiple features using worktrees

- Best practices for keeping projects private and organized

- GitHub Actions, key management, deployment, and more

The goal:

Take you from “AI built me an app, now what?” to actually understanding how to manage, collaborate on, and safely ship your code with GitHub.

Cassidy will lead the walkthrough, while The Neuron’s Grant Harvey and Corey Noles jump in with beginner questions and audience Q&A throughout.

🔔 Hit Notify Me so you don’t miss it, and bring your GitHub questions. We’ll be answering them live.

Corey and Grant put GPT-6 Astra through six identical one-shot build tests to see what it can create with almost no follow-up instruction. The episode covers an interactive black hole lab, a Blender scene, a physics game, a photo-to-sci-fi-world reconstruction, a mechanical sound diagnostic prototype, and the latest version of Cat Doom.

The biggest through-line is how much capability now comes out of a single prompt, while the remaining weaknesses show up in taste, UI restraint, game balancing, and reliability.

The episode ends by looking at how far Cat Doom has progressed across models over the past year.

Sponsored by Dell Technologies and NVIDIA. Learn more at https://www.techrepublic.com/hubs/the-enterprise-guide-to-scalable-ai/

Subscribe to The Neuron newsletter: https://theneuron.ai

We’re going LIVE after Apple’s biggest event of the year to break down John Ternus’s first major keynote as CEO and the big question: Is Apple finally entering its AI era?

We’ll unpack what Apple revealed around Siri, Apple Intelligence, and its broader AI strategy, plus what feels different under Ternus.

Then, we’re breaking down a packed day of AI news:

🍎 Apple’s AI era: What the announcements tell us about Apple’s AI strategy.

🧮 OpenAI’s $1M math fight: OpenAI says a massive AI effort made progress on Navier-Stokes, one of mathematics’ Millennium Prize Problems, followed by a fight over credit.

🤖 Meta Muse: Meta launched its personal AI agent with a huge free usage tier.

⚠️ Anthropic’s AI-risk estimate: One Anthropic scientist put the chance of AI causing human extinction above 10.

🔐 Microsoft security: Microsoft patched a record 972 vulnerabilities, including 112 rated critical.

🇺🇸 U.S. vs. Chinese AI labs: U.S. agencies warned that Chinese companies are distilling Western AI systems at an industrial scale.

🎮 Plus, Sam Altman is apparently very excited about an Ocarina of Time remake.

Apple event:https://www.apple.com/apple-events/

OpenAI’s Navier-Stokes claim:https://www.theneuron.ai/news/inside-openais-navierstokes-claim-the-proof-the-ai-effort-and-the-credit-fight/

Meta Muse:https://about.fb.com/news/2026/09/introducing-muse-personal-ai-agent/

Get started with Muse:https://www.theneuron.ai/explainer-articles/how-to-get-started-with-meta-muse/

Microsoft security:https://arstechnica.com/security/2026/09/microsoft-patches-a-record-972-vulnerabilities-112-of-them-critical/

The Neuron:https://www.theneuron.ai/

Subscribe for practical, skeptical, and occasionally unhinged coverage of the AI news that actually matters.

What happens when AI models get powerful enough that the bottleneck stops being the model, and starts becoming the computer, the power grid, or the safeguards around it?

Corey Noles and Grant Harvey break down a packed week in AI, starting with OpenAI’s expected Astra model and the controversy around recurrent-depth reasoning, chain-of-thought monitoring, and critical cybersecurity capabilities. They also dig into Google’s Gemini 3.8 Flash and Flash Cyber, and why benchmark charts increasingly matter less than what a model can actually do in real work.

Then the conversation moves from models to machines: a $399 open-source robot duck, Dyson’s wildly overengineered CameraJet toothbrush, the return of the CPU as AI agents increasingly operate computers directly, and Apple’s increasingly data-center-like Mac Studio hardware for local AI workloads.

Finally, Corey and Grant unpack the fight over AI data centers in Texas, what communities should demand in exchange for hosting them, and why ChatGPT’s advertising business may become a major new piece of OpenAI’s economics.

Subscribe to The Neuron at theneuron.ai for a daily briefing on the AI stories that actually matter.

The Neuron: https://www.theneuron.ai/

The Neuron Academy: https://www.neuronacademy.com/

Anthropic just released Claude Fable 5.1, its newest frontier model for long-running coding, research, and agentic work.

So naturally, we’re putting it to the test LIVE. 🤖

Early testing suggests Fable 5.1 is faster, easier to work with, and capable of handling massive coding projects, long-form writing, and autonomous agent tasks more efficiently. Every even found that it used less than half as many tokens as Opus 5 in one internal test.

But it has some quirks too. It can blow past word counts, create unnecessary subagents, and occasionally keep working when you tell it to stop.

Today, Grant and Corey from The Neuron are testing those claims for themselves.

We’re putting Fable 5.1 through:

🧠 Complex research and knowledge work

💻 Coding and long-running agent workflows

✍️ Writing, editing, and instruction following

🤖 Autonomous tasks where Claude runs on its own

🛑 Constraint, budget, and STOP tests

🆚 Whatever else the live chat wants us to try

Anthropic also cut cached-input pricing by 75%, potentially making long-running Claude agents significantly cheaper to operate.

Can Fable 5.1 actually become the model you hand a giant task and walk away from?

Let’s find out live.

UPDATE: Our write-up on this livestream, with time-stamps: https://theneuron.ai/news/claude-fable-5-1-can-do-the-work-the-hard-part-is-managing-it/

🔗 Anthropic announcement:https://www.anthropic.com/claude-fable-and-mythos-5-1

🔗 Every’s Fable 5.1 Vibe Check:https://every.to/vibe-check/fable-5-1-vibe-check

📩 Subscribe to The Neuron for AI news, tools, and practical experiments without the hype:https://theneuron.ai/

AI companies spend enormous effort making models safer, but the model tested in the lab isn't necessarily the system a company eventually deploys.

Alice CEO and co-founder Noam Schwartz joins Corey and Grant to explain why prompts, tools, memory, permissions, data, and agent-to-agent interactions create an entirely new security surface.

They dig into the growing “trust gap” around enterprise AI, why prompt injection may become a permanent cat-and-mouse game, what open-weight models change for defenders, and why Schwartz believes the real security boundary has to exist at every layer of an AI system.

The bigger takeaway: as AI moves from answering questions to taking actions, traditional cybersecurity may need to merge with fraud prevention, threat intelligence, and trust and safety.

OpenAI security incident: https://openai.com/index/hugging-face-model-evaluation-security-incident/

Alice: https://alice.io/

Alice on agentic AI security: https://alice.io/blog/key-security-risks-posed-by-agentic-ai-and-how-to-mitigate-them

Alice open-weight research: https://alice.io/blog/okay-here-is-how-to-build-a-bomb-millions-download-dangerous-llms

Subscribe to The Neuron newsletter: https://theneuron.ai

Sponsored by Dell Technologies and NVIDIA. Learn more at https://www.techrepublic.com/hubs/the-enterprise-guide-to-scalable-ai/

AI tools are shipping faster than most normal humans can figure out what half of them actually do.

So Thursday, August 20 at 10 AM PT / 1 PM ET, we’re going LIVE to translate this week’s biggest AI launches into plain English. 😸

The goal: understand what these tools actually are, who they’re for, what’s useful vs. hype, and which ones are worth trying.

No three developers yelling model benchmarks at each other for an hour. Instead, we’re covering:

🤖 Qwen 3.8: What a powerful open model is, why you might use one instead of ChatGPT or Claude, and when that makes sense.

💻 Unsloth Studio: Run and experiment with AI models on your own computer, even if you’ve never touched a terminal.

⌨️ Cursor Origin: Cursor wants to host your code too. Here’s what that could mean for people building websites, apps, and internal tools with AI.

🛠️ DeepSeek Harness: What an “agent harness” is, why everyone keeps talking about them, and whether they matter outside hardcore coding circles.

💬 Buzz: Imagine Slack or Discord, except AI agents can join the workspace, collaborate with humans, and do work.

🐦 Berd: One desktop home for your AI agents, projects, skills, tools, and models. You can also give your agents little animated bodies. Please emotionally prepare yourself.

Plus, we’ll cover the other notable models and tools that dropped this week.

And if OpenAI drops Astra before we go live? We’ll cover that too. If it’s incredible, great. If it belongs in the “cool, another model” bucket, that’s part of the roundup too.

📅 August 20 @ 10AM PT / 1PM ET

Bring your questions. No PhD required. 😸

TOOLS / LINKS:

Qwen 3.8: https://qwen.ai/blog?id=qwen3.8

Unsloth: https://unsloth.ai/

Cursor: https://cursor.com/changelog/origin-code-hosting

DeepSeek: https://github.com/deepseek-ai/deepseek-harness

Buzz: https://buzz.xyz/

Berd: https://berd.xyz/

OpenAI: https://openai.com/index/pacing-model-development-cyber-capabilities/

AI can write code, summarize documents, and hold a conversation. But it still struggles with the structured data businesses rely on to predict churn, fraud, demand, pricing, and risk.

Alexandre Pasquiou explains why language models flatten the relationships inside spreadsheets, how tabular foundation models learn from rows and columns, and why Neuralk believes one general model could replace hundreds of custom predictive systems.

The conversation also covers Seldon, AI agents, enterprise adoption, and Alexandre’s prediction that tabular foundation models will power every predictive workload by 2030.

Learn more about Neuralk:https://www.neuralk.ai/

Subscribe to The Neuron newsletter:https://theneuron.ai/

Want to make better AI videos but have absolutely no idea what you’re doing?

Perfect. Neither did most of us at first. 😹

Join The Neuron LIVE this Thursday at 10 AM PT for a total beginner’s guide to AI video generation and video prompting, featuring the team behind the newly announced LTX-2.5.

We’re going hands-on with the new model while learning the fundamentals of actually prompting video models effectively.

What we’ll cover:

🎬 How video prompting is different from image prompting

✍️ How to write your first good AI video prompt

🎥 How to control shots, motion, subjects, and scenes

🧠 What video models actually understand when you describe a scene

🛠️ A live demo of the brand-new LTX-2.5

❓ Live Q&A with members of the LTX team

No previous AI video experience required.

If you can describe the video you want to make, we’ll show you how to turn that idea into a much better prompt.

And because this is live, bring your weird prompts, difficult questions, and video ideas. We’ll put the model through its paces together.

📅 Thursday, August 13

⏰ 10 AM PT

Learn more about LTX-2.5

🔗 Explore LTX-2.5: https://ltx.io/model/ltx-2-5

📰 Read the announcement: http://ltx.io/newsroom/introducing-ltx-2-5

🤗 LTX-2.5 on Hugging Face: https://huggingface.co/Lightricks/LTX-2.5

AI can now read DNA like language, generate working biological sequences, and help scientists identify disease-related mutations. Radical Numerics CEO Eric Nguyen explains how genome language models work, why his earlier model Evo helped scientists design CRISPR systems and bacteriophage genomes, and how the company’s newer model, Omnii, combines DNA with RNA, proteins, and other biological signals. The conversation explores personalized medicine, gene therapy, AI-designed biological threats, “deepfake viruses,” and whether the same technology that creates new biology can also defend against it.

Learn more about Radical Numerics:https://www.radicalnumerics.ai/