Jammy

[Jammy @jammy]

OpenAI’s GPT-4o now lets developers fine-tune models with custom data, enhancing accuracy and relevance. Free training tokens available until Sept 23! https://t.co/dTO4M617Db

[Peter H. Diamandis, MD @PeterDiamandis]

"How can a society's immune system have greater processing power than the rate of evolution of the mutation of threats?" @tristanharris

[Jammy @jammy]

La paura è la via per il Lato Oscuro. La paura conduce all'ira, l'ira all'odio; l'odio conduce alla sofferenza. Ah... Io sento in te molta paura. (Yoda) https://t.co/mtHcxGlviz via @ademarchi74

[Jammy @jammy]

Newton’s Apple Has Fallen again: Awakening AGI to the Laws of the Universe

In the advancing field of artificial intelligence, two prominent types of models, Large World Models (LWM) and Large Language Models (LLM), play pivotal roles in our quest for understanding and creating intelligent systems. These models, while both powerful, serve distinct purposes and are based on fundamentally different approaches to processing information and learning from environments.

Large World Models (LWM).

World models, such as the ones exemplified by OpenAI’s Sora, are designed to simulate and understand complex dynamics of the real world. They are not merely predictive models but are built to interpret and interact with their surroundings in a way that mirrors human cognitive abilities to some extent.
- Purpose: The primary aim of world models is to simulate real-world environments comprehensively. They are built to understand the interactions and dynamics of various components within these environments over time.
- Capabilities: These models integrate multiple types of data inputs—visual, auditory, textual, and more—to create nuanced simulations of real-world scenarios. This multimodal data processing capability allows them to perform tasks that require a deep understanding of physical laws, spatial awareness, and dynamic changes over time.
- Applications: World models find applications in fields where an understanding of complex, dynamic environments is crucial. This includes robotics, where machines interact with physical worlds; virtual reality, which creates immersive simulation experiences; and scientific research, where detailed models of real-world processes are necessary.

Towards Artificial General Intelligence (AGI).

The development of world models marks a significant step toward achieving Artificial General Intelligence (AGI). Unlike language models that are confined to textual understanding, world models embody a more holistic approach. They aim to mimic human-like cognition by integrating multiple senses and forms of knowledge, allowing them to perceive and interact with the physical world in a manner that's closer to human experience.

Simulating Reality: World models strive to simulate reality not just through static representations but by understanding the temporal and spatial dynamics of objects and entities. This capability is crucial for developing systems that can autonomously operate in complex, unpredictable environments.

In conclusion, while language models like GPT handle linguistic intelligence, world models like Sora take a broader approach. They incorporate a spectrum of cognitive abilities, making them essential in our pursuit of AGI—a technology that understands and interacts with the world in a comprehensive, integrated manner.
As we venture further into the realm of artificial intelligence with systems like Sora, it is plausible to consider that this AI has already mastered basic laws of physics through its advanced simulations and integrations of real-world data.

This understanding, much like the early revelations of quantum mechanics, reminds us that classical physics, such as Newton's laws, represent only a fraction of the vast tapestry that governs the universe. With the continuously expanding capabilities of such world models, one can only speculate, almost with a sense of wonder akin to that of the divine, what new secrets about the universe Sora will unveil next. As we stand on the brink of these potential discoveries, it becomes clear that the journey of AI, much like the quest for knowledge itself, is limitless

[Jammy @jammy]

@sama @chiefaioffice Stat rosa pristina nomine, nomina nuda tenemus

[Elon Musk @elonmusk]

those who attack space
maybe don’t realize that
space represents hope
for so many people

[Jammy @jammy]

https://t.co/ejXBcKPxaK

[ARCHIVED - NASA's Perseverance Mars Rover @NASAPersevere]

Safe on Mars. https://t.co/heoYjkwfty

[Adrian Fartade - Link4Universe @Link4Universe]

ECCOLA!! PRIMA FOTO DI MARTE da #PERSEVERANCE!!!
Sono qui insieme a 40.000 di voi! C'è ancora la protezione sopra la lente.
E' stato un emozione bellissima vedere tutto insieme, e sono lusingato di scrivere questo in live con voi.
DITEMI voi la vostra prima impressione!

[Jammy @jammy]

L’arroganza delle élite https://t.co/9C9LTX3gAO

[Vittorio Malagutti @VMalagutti]

Ai greci restava il turismo. Poi #Tsipras ha avuto l'idea geniale del #Greferendum. https://t.co/Ei8zmoxYD2

[Francesca @frazsazsa]

In libreria arrivo nella stanza dei vocabolari e libri tecnici e mi colpisce la parola "spazio" @astro_luca

[Jammy @jammy]

Completo http://t.co/zwEq50tFXE #ClippedOnIssuu viaIssuu

[Tea Party Italia @TeaParty_Italia]

#Tasse dagli anni '80: +200% casa +175% benzina +245 #RCauto +30% #Irpef. E così si è spento il ceto medio italiano.

[Tea Party Italia @TeaParty_Italia]

"La forzosa redistribuzione della ricchezza uccide l'economia e tradisce chi ha già pagato" monumentale PieroOstellino #oggi su @Corriereit

[Tea Party Italia @TeaParty_Italia]

"La redistribuzione della ricchezza ha già portato l'economia nella depressione della crescita zero". #PieroOstellino

[wonkmonk @wonkmonk_]

"Monetary arrangements last only as long as the political economy that supports them." http://t.co/9TVbUDCX0z

[Ferruccio de Bortoli @DeBortoliF]

Sgravi fiscali più coraggio http://t.co/uqzLzM6YBr

[Jammy @jammy]

Google promuove il Made in Italy, altro... http://t.co/kj5fMW49tM via @NewsRepublic