tech mumus retweeted
I did my PhD on geological CO₂ storage, so I'm a tough audience for explainer videos.
This week I asked Claude Opus 5.5 to make one. In a single conversation it produced a two-minute motion-graphics video covering the full chain: capture at industrial sources, compression to dense phase, transport by ship or pipeline, injection into a saline aquifer, plume migration under the caprock, the four trapping mechanisms and seismic monitoring.
What impressed me most wasn't the visuals but the judgement. It showed residual trapping as snap-off in a pore network, dissolution as convective fingering, and the plume stacking beneath thin shale layers inside the reservoir, as at Sleipner. It also flagged which parts were illustrative rather than real data, and what it couldn't verify itself.
Every frame and the soundtrack were generated in code, with the animation synced to the music. No stock footage, no editing software.
It's the clearest CO₂ storage explainer I've seen, and a good preview of how these tools will change technical communication in our field.
(I still checked the geology. Old habits.)
#CCS #CO2Storage #AI #Claude
Humans have an average of 200-250 ms of latency when speaking to each other.
This voice model is even faster: only 110 ms of latency!
Open-weights ←You don't need to pay anyone to use it.
8B parameters ← Small and cheap to host and run.
You can run it locally by cloning the Github repository. They published the instructions in the repository below.
Open models keep getting stronger!
🤝 Paid partnership
Today, we’re excited to introduce Miso One, the most emotive voice model in the world.
Miso One is an 8-billion-parameter text-to-speech model for highly expressive speech generation. It emotes like a human and responds faster than a human, with just 110 milliseconds of latency.
We’ve open-sourced the model weights, with API access coming soon.
Hear how Miso One sounds in the thread below.
Airlines have a secret: the flight price you see depends on YOUR location.
So I built a Python script, powered by @thordata, that pretends to be in 8 countries at once to find the
cheapest fare.
Watch how it works and grab the script for FREE! ✈️💰
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Super proud of getting the 3rd place in the Railway Hackathon!! Thanks @railway for the opportunity!!
Replying to @Railway
Content Depth 3️⃣ 3rd place:
Mosaic, a knowledge management system (techmumus.substack.com/publi…)
Wanna try? One-click deployment on Railway
railway.com/deploy/mosaic?re…
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Amazing work @JNYBGR your tool now has a huge advantage with AI!
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🧠 Just shipped MOS•AI•C - an AI-powered knowledge management system that actually understands your notes!
Deploy in one click on @Railway: railway.com/deploy/mosaic?re…
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tech mumus retweeted
🚀 AgentTip: OpenAI assistants inside any Mac app.
Type @idea brainstorm an onboarding flow, hit ⏎, and AgentTip swaps the trigger for the assistant’s reply—right where you were typing. No context-switch, no copy-paste.
One-time payment $4.99.
#MacApps #ChatGPT #AIProductivity
tech mumus retweeted
The era of AI app subscriptions is coming to an end…
Thanks to the advent of lightweight edge AI models and frameworks like cactus - developed by @RomanShemet (backed by @ycombinator) AI apps can run 100% on the phone
My offline Plant ID app is proof:
👉 apps.apple.com/br/app/plant-…
No more cloud fees. No more monthly charges.
Just fast, private, one-time apps.
tech mumus retweeted
I've spent 200+ hours Vibe Coding games and apps.
It's insane what you can build with just your voice and AI...ANYONE can do it.
Here's everything I learned about Vibe Coding: 🧵
That's amazing! New Playwright MCP Server, controls the browser, open countless doors! Thanks Debbie and Playwright team!
In this video we implement it in Cursor analysing a platform like Amazon (Mercado Livre)
@playwrightweb @debs_obrien
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Tutorial - Creating Agents With PydanticAI
Tutorial - Criando Agentes com o PydanticAI
@pydanti_ai @pydantic
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