AI Isn't Just Software Anymore
We've been making chemicals the same way for over a century, massive factories, intense heat and pressure, complicated supply chains.
It works, but with very old methods.
An American company called Aether has change that to a better way.
Their approach? Design proteins with AI that do the same job as those giant facilities, but at a fraction of the size and cost.
Their first product already lets manufacturers 3D print drone and aerospace parts 10x faster, with strength rivaling aviation-grade aluminum.
And the same platform is being used to tackle rare earth extraction, plastic recycling, and toxic chemical cleanup.
The factory of the future might not look like a factory at all.
Good morning!
Scientists used AI to uncover 2,000 hidden worlds inside old NASA data, while Google DeepMindβs new AI co-mathematician helped solve a math problem humans could not crack.
In todays email:
Daily Update
Social Media
Todayβs Highlight
YouTube
Today Trend
Prompt
Read time: 7 min
DAILY UPDATE
AI Finds 2,000 Hidden Worlds Inside Old NASA Data
AI system RAVEN confirmed 100+ exoplanets and uncovered thousands of new possible worlds hidden in NASA data.
Astronomers at University of Warwick used an AI system called RAVEN to scan four years of NASA TESS data covering 2.2 million stars. The system confirmed more than 100 exoplanets and also discovered over 2,000 possible new candidates waiting to be studied.
RAVEN can detect, check, and confirm planets in one process, helping scientists find real planets faster while filtering out false signals.
The AI discovered 31 completely new exoplanets, including strange planets that orbit their stars in less than a single day.
Scientists also found hundreds of planets inside the βNeptunian Desertβ, a region where Neptune sized planets were not expected to survive because of extreme heat from nearby stars.
This is a major step for space research because humans have only confirmed a few thousand exoplanets so far, while scientists believe there could be trillions across the universe. Systems like RAVEN show how smarter AI can unlock huge discoveries from data we already have.
Continue Readingβ¦
TODAYβs HIGHLIGHT
Google DeepMindβs AI Just Helped Solve a Math Problem Humans Couldnβt Crack
Google DeepMindβs new AI co-mathematician helped solve an open math problem and reached a new high score on research-level math tests.
Google DeepMind introduced an advanced AI system built on Gemini 3.1 that helps mathematicians work on difficult unsolved problems.
The AI works like modern AI coding tools, with a main coordinator agent managing smaller agents working on different research tasks.
Oxford mathematician Marc Lackenby solved an open problem after finding a βreally, really cleverβ proof idea inside one of the AIβs rejected answers.
On the FrontierMath Tier 4 benchmark, the system scored 48%, more than double the 19% score of Gemini 3.1 Pro alone.
This shows how fast AI research tools are improving in advanced fields like mathematics.
Continue Readingβ¦
YOUTUBE
When Two AIs Go To War: A Realistic Scenario
TODAY TREND
articuler.ai
Describe your goal. Meet the right professional
Graphbit PRFlow - AI Code Review Agent
AI code reviewer that catches what others miss
OpenJobs AI
The Pitch End-to-End Autonomous AI Recruiter
Genpire
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MiroMiro v2
Inspect, edit, and export any website's design
SOCIAL MEDIA
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