Disclaimer: The views and opinions expressed in this blog are entirely my own and do not necessarily reflect the views of my current or any previous employer. This blog may also contain links to other websites or resources. I am not responsible for the content on those external sites or any changes that may occur after the publication of my posts.
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“For happiness is anyone and anything at all that’s loved by you” -Charles Schultz
AIML
Google Deepmind debuts huge AlphaFold update and free proteomics-as-a-service web app
Burnout Is Pushing Workers to Use AI—Even if Their Boss Doesn’t Know
How LLMs Work, Explained Without Math
LeanDojo: Theorem Proving in Lean using Language Models
Apple Will Revamp Siri to Catch Up to Its Chatbot Competitors
Deep Reinforcement Learning: Zero to Hero!
Gradient Descent Visualization
Rifle-Armed Robot Dogs Now Being Tested By Marine Special Operators
Painting
Francisco de Zurbarán, “Saint Francis in Meditation” (1635–39), oil on canvas, 5′ 4″ x 4′ 6″, (© The National Gallery, London)
The Sweet Pain of Saint Francis
Crypto
FTX Customers Poised to Recover All Funds Lost in Collapse
Bitcoin’s Future Depends on a Handful of Mysterious Coders
Cyber
Where the Wild Things Are: Second Order Risks of AI
Novel attack against virtually all VPN apps neuters their entire purpose
Markets
The Dow Is a Terrible Index. But It Is Telling Us Something Important.
‘Seriously Underwater’ Home Mortgages Tick Up Across the US
Can Turning Office Towers Into Apartments Save Downtowns?
At $2 Million Per Minute, Treasuries Mint Cash Like Never Before
Tractor-trailers with no one aboard? The future is near for self-driving trucks on US roads
The hot business of cold storage
Plans for larger, higher Baltimore bridge keep channel clear for ships
Reclassifying Marijuana Could Unlock Billions in Tax Savings for Cannabis Companies
The Hollywood CEO Mega Pay Chart: Top Executives’ Compensation Revealed
Misc
She invented Mother’s Day — then waged a lifelong campaign against it
Jim Simons, Math Genius Who Conquered Wall Street, Dies at 86
What are sperm whales saying? Researchers find a complex 'alphabet'
Apple apologizes for iPad ‘Crush’ ad that ‘missed the mark’
“This Is Water” David Foster Wallace Commencement Speech
Murder in Paradise: The Killing of a VFX Legend
A Company Is Building a Giant Compressed-Air Battery in the Australian Outback
How Bad Are Ultraprocessed Foods, Really?
Pivot podcast host Scott Galloway: ‘Tech bros conflate luck with talent’
The rise of Sweden's super rich
How Bird Flu Caught the Dairy Industry Off Guard
Congestion in Earth's orbit is getting even worse
Frank Stella, Towering Artist and Master of Reinvention, Dies at 87
Roger Corman, Giant of Independent Filmmaking, Dies at 98
Paper
Agent Hospital: A Simulacrum of Hospital with Evolvable Medical Agents
Concept: The paper introduces 'Agent Hospital,' a simulated environment where all functions of a hospital, from patient intake to treatment and follow-up, are managed by agents (patients, doctors, nurses) driven by LLMs.
Learning Without Labels: A key innovation, dubbed 'MedAgent-Zero,' enables doctor agents to learn and improve their medical skills by interacting with patient agents within this simulated environment, without relying on manually labeled data.
Continuous Improvement: These agents continuously refine their abilities through repeated cycles of diagnosis and treatment, getting better over time.
Real-World Application: The trained agents have been tested on real-world medical benchmarks, showing impressive performance, particularly in accurately diagnosing and treating respiratory diseases.
Importance to the Future of Agentic AI:
Enhanced Medical Training: Agent Hospital provides a risk-free platform for training medical AI, potentially reducing the time and cost associated with training human doctors.
Scalability: It demonstrates the scalability of AI in managing complex and varied medical cases continuously and autonomously, which could lead to more robust health care systems.
Real-World Transferability: The ability of the simulation-trained agents to perform well on real-world medical datasets suggests that such AI systems could soon assist or augment human efforts in real-world medical scenarios.
Autonomous Learning Systems: The development of AI that can improve autonomously without direct human oversight or data labeling represents a significant leap towards more adaptive, responsive AI systems in various fields beyond healthcare.