Week 10 of 2024- W102024
X marks the spot
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End Disclaimer
“and X never, ever, marks the spot” -Dr. Henry “Indiana” Jones Jr.
“X marks the spot” -Dr. Henry “Indiana” Jones Jr.
News
AIML
Training great LLMs entirely from ground zero in the wilderness as a startup
The breathtaking scope of Sam Altman's future AI empire
Sergey Brin on Gemini 1.5 Pro (AGI House; March 2, 2024)
You can now train a 70b language model at home
Why Tech Job Interviews Became Such a Nightmare
Painting
Andrew Wyeth, Dr. Syn, 1981, tempera on panel, 21 1/2 x 19"
Crypto
Cyber
The Terrifying A.I. Scam That Uses Your Loved One’s Voice
AI worm infects users via AI-enabled email clients
Markets
How Florida’s home insurance market became so dysfunctional, so fast
Trading Desks Trade Less, Lend More
The Risk of Nuclear Conflict is Rising
Nvidia Becomes Tesla’s Successor as Market Flips From EV to AI
Inflation-Adjusted Minimum Wage in the U.S.
Amid explosive demand, America is running out of power
SEC Adopts Rules to Enhance and Standardize Climate-Related Disclosures for Investors
Misc
Wait what? A physical game can be a computer?
When New Hires Get Paid More, Top Performers Resign First
Wealth Needed to Join the Top 1%, by Country
New Breakthrough Brings Matrix Multiplication Closer to Ideal
The Wait and Weight for Bronny James
Who Killed the California Burrito?
The Mathematician Who Finds the Poetry in Math and the Math in Poetry
The propagation of error in classical geometry constructions
Toward a Unified Theory of Jake Gyllenhaal
The Newest Must-Have Home Amenity for the Rich: Purified Air
Company that plans to bring back the mammoth takes a key step
Paper
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
Sora Overview: Introduced by OpenAI in February 2024, Sora is a generative AI model designed for text-to-video conversion, capable of generating up to one-minute long videos based on text prompts, demonstrating a significant advancement in video generation technology.
Technology and Modeling: Sora employs a diffusion transformer model, utilizing spacetime latent patches for video compression and generation. This approach enables detailed and coherent video production from text instructions.
Capabilities and Applications: Sora enhances simulation abilities, boosts creativity in various fields, drives educational innovations, enhances accessibility by converting textual descriptions to visual content, and fosters emerging applications in marketing and game development.
Challenges and Opportunities: Despite its advancements, Sora faces challenges in depicting complex actions and capturing subtle facial expressions. Ethical considerations and the need for safe and unbiased video generation are paramount.
Future Directions: The paper suggests that Sora and similar models are at the forefront of a rapidly evolving field, with potential for significant impact on productivity and entertainment, as well as human-AI interaction.