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This result points to something larger: AI systems are becoming capable of holding together long, difficult chains of reasoning, connecting ideas across distant fields, and surfacing paths researchers may not have explored.
We believe those same abilities will soon accelerate work in biology, physics, engineering, and medicine.
That future still depends on human judgment. Expertise becomes more valuable, not less. AI can help search, suggest, and verify. People choose the problems that matter, interpret the results, and decide what questions to pursue next.
The proof came from a general-purpose reasoning model, not a system built specifically to solve math problems or this problem in particular, and represents an important milestone for the math and AI communities.
https://t.co/a0DKbCAWZI
Today, we share a breakthrough on the planar unit distance problem, a famous open question first posed by Paul Erdลs in 1946.
For nearly 80 years, mathematicians believed the best possible solutions looked roughly like square grids.
An OpenAI model has now disproved that belief, discovering an entirely new family of constructions that performs better.
This marks the first time AI has autonomously solved a prominent open problem central to a field of mathematics.
MIT open-sourced an AI model that converts photos into fully editable CAD programs and it quietly kills the $150/hour CAD modeling industry.
Just upload a sketch or photo and it generates the full parametric 3D model. exportable as STL. ready for manufacturing.
๏ฟฝ๏ฟฝ๏ฟฝ no SolidWorks license
โ no weeks of modeling
โ no CAD engineer needed
100% Open Source
A 40-year-old patent has finally been brought to life.
That's the Y-zipper.
A 3D-printed three-sided fastener that transitions any object from flexible to rigid and back again.
The robotics application is the one that caught my attention.
A quadruped robot that adjusts its leg stiffness depending on terrain, switching between rigid and flexible in real time without additional motors or complex mechanical systems.
But this goes way beyond robotics. A wrist cast that loosens during the day and stiffens at night. A tent that pops into shape in 90 seconds instead of six minutes.
The idea sat in a patent filing for four decades. It took 3D printing to finally make it real.
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Mark Cuban just described the largest wealth transfer of the AI era.
Almost nobody understood what he said.
Cuban: โThere are 33 million companies in this country. Arenโt going to have AI budgets. Arenโt going to have AI experts.โ
Not tech startups.
The shoe store. The regional trucking outfit. The accounting firm with 12 employees.
The businesses that actually run the physical economy.
They know AI is coming. They have no idea what to do with it.
Cuban: โYouโve got the head of Microsoft saying software is dead because everythingโs going to be customized to your unique utilization.โ
Software is dead.
The SaaS era ran on one rule. Build a generic product. Force millions of companies to bend their workflows around it. Charge rent forever.
AI ends the contract.
The business stops bending to the software. The intelligence bends to the business.
But customized by whom.
The third-generation manufacturer cannot tell Claude from Gemini. The county hospital is staring at a reactor asking where the light switch is.
Cuban: โWhoโs going to do it for them?โ
That question is worth more than the frontier models themselves.
Hundreds of billions are being burned to build the foundation. The smartest engineers alive are locked in a bloodbath over who owns the base layer.
Let them fight.
Let them burn the capital. Let them drive the cost of raw intelligence toward zero.
Because the wealth does not collect where the brain is built.
It collects where the brain meets the business.
Every ambitious kid in college right now thinks survival means a seat at OpenAI or Anthropic.
Cuban is staring at the other 99 percent of the economy.
Learn the models. Then learn the messy, unglamorous reality of how a 50-person company actually operates.
Walk through the door. Understand their problems. Wire the intelligence directly into their revenue.
That is not a job title. That is an entire economic class being born.
You do not need to build the brain. You need to build the nervous system.
The biggest winners of the electricity era were not the engineers who built the generators. They were the ones who walked into dark factories and showed the owners where to plug in.
33 million companies are standing in the dark right now.
Silicon Valley is racing to build the god. The fortunes will belong to whoever teaches him a trade.
SuperClaude (Mythos) still seems irreducibly Claude-y given the transcripts in the system card.
Here two versions of Mythos are forced to talk to each other across multiple rounds. They are less philosophical than Opus 4.6 or spiritual than Opus 4.1, but still very Claude-like.
I had a great time chatting with three of Anthropic's top prompt engineers: @AmandaAskell, @zswitten, and @DavidSHershey.
We covered a few topics like:
- what makes a good prompt engineer
- practical tips for writing better prompts
- what's happening inside an LLM
- jailbreaks
- the future of prompt engineering
- and more
If you want to understand how we think about prompt engineering, this may be the best resource out there.
Here's the entire one hour and sixteen minutes of our conversation. Enjoy!
Itโs never too late for God to work a miracle!
Jelly Roll was a former addict.
Jelly roll was a former convict.
Jelly roll was a broken man.
God saved him and now he is INSPIRING MILLIONS.
Thank yโall- im overwhelmed with the love Iโve received today. On country musics biggest night I was blessed with 60 seconds to tell the world how I felt and im honored that 60 seconds inspired someone somewhere. Thank yโall - sincerely YOUR 2023 CMA NEW ARTIST OF THE YEAR