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Welcome, humans.
We go live in five minutes.
AI had another one of those weeks where a dozen new models and tools dropped, half the internet yelled that everything changed, and normal people were left asking one useful question:
Which of these things should I actually care about?
So at 10 AM PT / 1 PM ET, Corey and Grant are going live to translate the week’s biggest AI launches into plain English. No benchmark Olympics. No assuming you know what an “agent harness” is. Just what changed, who each tool is for, and when you might realistically use it.
Here’s what we’re covering live:
Qwen 3.8: what an open model is, why you might run one instead of ChatGPT or Claude, and when that makes sense.
Unsloth Studio: how to run and experiment with AI models on your own computer without turning your afternoon into Terminal Fight Club.
Hosting AI locally: what it actually takes to run AI on your own hardware, when it is worth doing, and what has changed since we last covered it.
Cursor Origin: why Cursor suddenly wants to host your code too, and what that means if you build apps, websites, or internal tools with AI.
DeepSeek Harness: what an “agent harness” actually is, why developers are suddenly obsessed with them, and whether non-developers should care.
Buzz + Berd: new ways to organize and reuse agents, skills, and tools across AI apps without rebuilding your setup every time.
Plus the other notable launches from this week, including whatever drops between now and the moment we hit “Go Live.”
The goal is simple: by the end, you should know what’s useful, what’s hype, and which tools are actually worth trying for your own work.
Bring your questions, too. No question is too basic. If yours is too smart for us, we reserve the right to make the smartest AI in the room answer it. Delegation!
Open the stream now, say hello in chat, and tell us which new AI tool you want explained without the developer-speak.
P.S: If you join late, the whole stream will still be waiting for you on YouTube.
🎙️ In Case You Missed It…
1. Can AI predict what happens next?
TL;DW: Neuralk CEO Alexandre Pasquiou explains why language models are great at talking about business data but can struggle to predict from it, and why specialized tabular models may become the predictive brain behind AI agents.
Why you should watch: If you use AI with spreadsheets, forecasts, customer data, finance, or operations, this episode explains where ChatGPT-style models can hit a wall and what may work better.
Watch / Listen: YouTube | Spotify | Apple Podcasts
2. AI can write DNA now. Here’s what that means.
Click to watch on YouTube.
TL;DW: Eric Nguyen, CEO of Radical Numerics, explains how genomic AI can read and write DNA, including complete viral genomes, while researchers push toward models that combine DNA, RNA, proteins, and other biological signals.
Why you should watch: It makes the leap from “AI analyzes biology” to “AI designs biology” concrete, including the huge medical upside and the security questions that come with it.
Watch / Listen: YouTube | Spotify | Apple Podcasts
What should we learn next? 🤔
Let us know below!
What do you want to learn via livestream next?Pick an option below, then write your comment in Additional Feedback after you pick your option |
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Psst: Did you pick one of these answers? We’ve already done a stream on a few of the biggest winners:
Stay curious,
The Neuron Team
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