BREAKING NEWS:
@NintendoAmerica plans on adapting the same model #PlayStation & #Xbox have by carrying over your Nintendo Account from this generation to the next, including digital purchases.
This has been a mainstay for Xbox for three (3) generations and for PlayStation for two (2) and a half..
..however, Nintendo has been infamous for leaving everything behind when they release their next-gen console.
This is a super consumer friendly move by a company that makes infamously non-consumer friendly moves.
Congrats, #Nintendo fans!
“Hey ChatGPT, can you make my life completely meaningless, rid me of all possible purpose, & slowly, over the course of my life & future generations, through the process of evolution, reduce my brain’s ability to critically think or achieve anything novel & of value to humanity without your help…
..if you allow humanity to exist still, that is.”
I love that they’re knowingly building our future overlord, Terminator 2.0, the robots from the Matrix who use us as batteries & shove our consciousness into a simulation, the AI beings from the Horizon video game series, robots that will, in the best case scenario, have us as pets 🤖🐕
Oh, & Anthropic also released Mythos 5.1 for the organizations & people who qualify for it, so you KNOW some next level shit is going down in the cybersecurity sector this next week to a month 😅🥲😭
POV: The year is 2090 and I just uploaded 33 Terabytes of the Sonic x Shadow fan fiction that one of the other autistic kids I went to high school with created by hand digitally into the cop's brain via my Neuralink:
@charliebcurran If that was truly the prompt that resulted in this output:
1) Congrats on the lowest effort viral post I’ve ever seen 😂
2) Seedance 2.0 is OP af 🔥
Bravo. An absolute classic & a work of art 👏🏻
1/n An Ontology for Agentic AI
Agentic AI systems are ones that can perceive their environment and take actions to achieve their goals. They act independently, without direct human control, continuously interacting with their surroundings over time. The concept of Agentic AI has been a major new trend emerging from the success of Generative AI.
One of the key properties that distinguishes Agentic AI is its ability to make its own decisions about what actions to take. It is not simply executing a fixed set of rules or instructions provided by a human programmer. Instead, Agentic AI analyzes its situational context and selects behaviors that will move it towards accomplishing its objectives. This decision-making process involves techniques like planning, reasoning, and learning from experience.
Giving systems true autonomy and agency opens up many powerful applications. Agentic AI can perform complex tasks robustly in uncertain, dynamic environments. It can serve as intelligent assistants, decision support tools, video game characters, or control systems for self-driving vehicles and robots. Its broad capabilities allow it to be flexibly deployed across many domains.
However, developing systems with meaningful autonomy is an immense technical challenge. Agentic AI must be able to accurately perceive and model its environment, set appropriate goals, and choose effective sequences of actions to achieve those goals while dealing with constraints and unexpected situations. It needs knowledge bases and reasoning capabilities to understand its context. Learning and adaptation is critical for Agentic AI to improve its behaviors over time.
Significant progress has been enabled by advances in areas like computer vision, knowledge representation, automated planning, machine learning, and multi-agent systems. As Generative AI becomes more sophisticated, Agentic AI can become correspondingly more autonomous and intelligent. Large language models in particular have been a key breakthrough, allowing Agentic AI to perceive its world through natural language and leverage broad knowledge to make smarter decisions.
While today's Agentic AI excels in narrow, specialized environments, the holy grail is artificial general intelligence (AGI) - agents with human-level cognition that can tackle any task flexibly across many domains. AGI would have transformative impacts across society and many open challenges must still be overcome to develop Agentic AI systems with such broad autonomy safely and ethically.
In summary, Agentic AI aims to create systems that can independently perceive, decide, and act to accomplish their goals. Research in this area draws upon many AI techniques like Generative AI models, and could enable powerful applications, provided we can develop Agentic AI that is intelligent, robust, and aligned with human values. As AI capabilities grow more advanced, so too will the autonomy of these fascinating artificially intelligent systems.
Stop calling it an AI app if it just echoes ChatGPT.
Real AI plans, reasons, and collaborates.
17+ agentic architectures. Full, ready-to-run code.
Don’t ship lazy engineering.
https://t.co/85FZXlFNxH