AI Predictive Principle for JEPA-Anything
JEPA-Anything is a predictive principle that works across various domains, including molecules, cells, fluids, patients, robots, and weather. It uses a monolithic JEPA target to let dominant signals crowd out weaker modes. Orthogonal Predictive Factorization (OPF) splits capacity across different factors, allowing for more accurate predictions.
Key Points:
JEPA-Anything Principle: This principle uses a monolithic JEPA target to let dominant signals crowd out weaker modes, enabling accurate predictions across various domains.
Orthogonal Predictive Factorization (OPF): OPF splits capacity across different factors, allowing for more accurate predictions and better handling of complex systems.
Application Domains: JEPA-Anything can be applied to various domains, including molecules, cells, fluids, patients, robots, and weather, making it a versatile predictive principle.
Advantages: The use of OPF and the JEPA target enables more accurate predictions and better handling of complex systems, making JEPA-Anything a valuable tool for various applications.
🔗 Resources:
- Original source ↗
- Original source
- JEPA-Anything Principle
- Orthogonal Predictive Factorization (OPF)
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Gaussian Splat Relighting in Beta
Niantic Spatial has launched Gaussian Splat Relighting in beta, a feature that enables geometric accuracy and allows for zero-shot transfer of policies trained on reconstructions to real robots. This feature can create multiple lighting and weather conditions from a single capture.
Key Points:
Gaussian Splat Relighting: This feature uses Gaussian splatting to achieve geometric accuracy and enables the creation of multiple lighting and weather conditions from a single capture.
Zero-Shot Transfer: Policies trained on reconstructions can be transferred to real robots without additional training, making it a valuable feature for various applications.
Advantages: Gaussian Splat Relighting enables geometric accuracy and allows for the creation of multiple lighting and weather conditions from a single capture, making it a valuable feature for various applications.
Application: This feature can be used in various applications, including robotics, computer vision, and graphics.
🔗 Resources:
- Original source ↗
- Original source
- Gaussian Splat Relighting
- Niantic Spatial
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Mathematical Superintelligence
Acer is a real deal, and the concept of mathematical superintelligence is becoming increasingly plausible. The timeline for the emergence of mathematical superintelligence is uncertain, but it is likely to be in the 2040-2050 timeframe.
Key Points:
Mathematical Superintelligence: This concept refers to the emergence of artificial intelligence that surpasses human intelligence in mathematical reasoning and problem-solving.
Timeline: The timeline for the emergence of mathematical superintelligence is uncertain, but it is likely to be in the 2040-2050 timeframe.
Implications: The emergence of mathematical superintelligence could have significant implications for various fields, including science, technology, and society.
Uncertainty: The timeline and implications of mathematical superintelligence are uncertain, making it a topic of ongoing research and debate.
🔗 Resources:
- Original source ↗
- Original source
- Mathematical Superintelligence
- Acer
iPhone Duo Workshops
iPhone Duo workshops are being launched in various cities, including Cupertino, New York, Miami, Paris, London, and Berlin. These workshops will provide hands-on experience with the iPhone Duo and its various features.
Key Points:
iPhone Duo Workshops: These workshops will provide hands-on experience with the iPhone Duo and its various features.
Locations: Workshops will be held in various cities, including Cupertino, New York, Miami, Paris, London, and Berlin.
Features: The iPhone Duo will be showcased in various features, including its camera, display, and performance.
Hands-on Experience: Participants will have the opportunity to try out the iPhone Duo and its features firsthand.
🔗 Resources:
- Original source ↗
- Original source
- iPhone Duo Workshops
- Cupertino
Horror Games in VR
Horror games in VR can be a unique and terrifying experience. However, the author does not enjoy horror games in VR and finds them to be a waste of time.
Key Points:
Horror Games in VR: Horror games in VR can be a unique and terrifying experience.
Author's Opinion: The author does not enjoy horror games in VR and finds them to be a waste of time.
Reasons: The author does not provide specific reasons for their dislike of horror games in VR.
Conclusion: The author concludes that horror games in VR are not enjoyable and are a waste of time.
🔗 Resources:
- Original source ↗
- Original source
- Horror Games in VR
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LCC2 Performance
The author has tried to load LCC2 in their own Vision Pro app but found the performance to be disappointing. However, they have identified room for improvement in the LoD selection logic and plan to release a new version.
Key Points:
LCC2 Performance: The author found the performance of LCC2 to be disappointing when loaded in their own Vision Pro app.
Room for Improvement: The author identified room for improvement in the LoD selection logic.
New Version: The author plans to release a new version with improved performance.
Conclusion: The author concludes that there is room for improvement in the performance of LCC2 and plans to release a new version.
🔗 Resources:
- Original source ↗
- Original source
- LCC2 Performance
- Vision Pro
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Instagram Acquisition
The author imagines a scenario where they tell Kevin Rose, a person with great product sense, that Instagram is too expensive, and as a result, Instagram is acquired by Facebook, which then hands over the keys to social dominance forever.
Key Points:
Instagram Acquisition: The author imagines a scenario where Instagram is acquired by Facebook.
Reasons: The author does not provide specific reasons for the acquisition.
Consequences: The author suggests that the acquisition would result in Facebook gaining social dominance.
Conclusion: The author concludes that the acquisition of Instagram by Facebook would have significant consequences.
🔗 Resources:
- Original source ↗
- Original source
- Instagram Acquisition
- Kevin Rose
