Joeffect @ Joeffect @lemmy.world

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2 yr. ago

If only they had a solution that has been tried and been proven to be effective...

I think you're looking for "roommates"

Excuses...

I was just listing things I know tecenet had a holding in... Like everyone else...

They also have a stake in all these companies...

Legaue of legends

Epic games

Ubisoft

From soft

Activision blizzard

WeChat

Okay name all threee

You mean paid for a spot on the board and sue to get his name as a founding member/ inventor

Just use chat gpt of course...

Here's an improved and structured list of criteria for general intelligence (GI), tailored for human-level understanding and considering the capabilities and limitations of current AI technology:

1. Learning and Adaptation

Human-Level Expectation: Ability to learn new concepts, skills, and tasks across various domains without specific pre-programming. Adapt to new and unfamiliar situations effectively.

Current AI: Specialized machine learning models excel at task-specific learning but struggle with transfer learning across vastly different domains.

2. Reasoning and Problem-Solving

Human-Level Expectation: Logical reasoning, abstract thought, and the ability to solve novel and complex problems with limited information.

Current AI: Good at structured problem-solving within predefined rules (e.g., chess, Go) but struggles with open-ended, ambiguous, or poorly defined problems.

3. Perception and Understanding

Human-Level Expectation: Capability to perceive, interpret, and understand diverse sensory inputs (visual, auditory, textual) and contextualize them meaningfully.

Current AI: Strong in narrow perception tasks (e.g., image recognition, speech-to-text) but lacks comprehensive multimodal understanding and nuanced contextual awareness.

4. Creativity and Innovation

Human-Level Expectation: Generate novel ideas, concepts, or solutions that are original and valuable. Combine unrelated information creatively.

Current AI: Can mimic creativity (e.g., generating art, writing) within boundaries of existing data but lacks the genuine originality seen in humans.

5. Social and Emotional Intelligence

Human-Level Expectation: Understand, interpret, and respond appropriately to human emotions, behaviors, and social cues. Exhibit empathy and build relationships.

Current AI: Limited to pre-programmed emotional recognition and response patterns. Lacks authentic empathy or true understanding of social dynamics.

6. Memory and Knowledge Retention

Human-Level Expectation: Retain, organize, and recall past experiences or knowledge to inform decisions and behavior in real-time.

Current AI: Good at storing and retrieving vast amounts of data but lacks long-term experiential memory and personalized understanding.

7. Generalization and Transfer Learning

Human-Level Expectation: Apply knowledge from one domain to solve problems in another, even when contexts differ.

Current AI: Limited generalization; successes in transfer learning are domain-specific and far from human-level adaptability.

8. Goal-Oriented Behavior

Human-Level Expectation: Define, pursue, and achieve diverse goals autonomously, balancing conflicting objectives when needed.

Current AI: Works well with clearly defined goals but struggles with balancing competing priorities or autonomously setting meaningful objectives.

9. Self-Awareness and Meta-Cognition

Human-Level Expectation: Understand one's own state, capabilities, and limitations. Reflect on and regulate one's thought processes.

Current AI: Lacks true self-awareness or understanding of its limitations; it operates within predefined parameters without introspection.

10. Ethical and Moral Reasoning

Human-Level Expectation: Make decisions that consider ethical principles, cultural values, and societal norms. Adapt morality contextually and appropriately.

Current AI: Ethics are externally imposed (via programming or guidelines). AI lacks innate moral reasoning or the ability to adapt ethically across contexts.

11. Physical Interaction and Embodiment

Human-Level Expectation: Navigate and interact with the physical world effectively, using tools and adapting to physical challenges.

Current AI: Robotics and embodied AI are improving but still far behind humans in physical dexterity, adaptability, and decision-making in real-world environments.

12. Intuition and "Common Sense"

Human-Level Expectation: Possess an innate understanding of everyday situations, physical laws, and social norms, even when unstated.

Current AI: Limited to explicitly trained knowledge; often fails in tasks requiring common-sense reasoning or implicit understanding.

13. Persistence and Goal Persistence

Human-Level Expectation: Continue efforts toward a goal despite challenges, setbacks, or changing circumstances.

Current AI: Performs tasks based on pre-set parameters but lacks intrinsic motivation or the ability to "persevere" without external instructions.

14. Ethical Use of AI Technology

Acknowledge that the development of general intelligence must align with ethical principles, ensuring safety, fairness, and accountability.

This list can serve as a roadmap to evaluate progress toward general intelligence, highlighting where current AI excels and where significant gaps remain compared to human cognition.

Not the same place but it's interesting...

https://youtu.be/_VKWLC87Uzw

Some agency is testing something new and didn't expect it to get this much coverage...

If it can't understand human text then is it really worth using? Like isn't that the minimum standard here, to get context and understand from text?

I don't have any game in this but this seems backwards and stupid... Especially since all AI currently is fancy pattern matching basically

I'm not even sure he can read

And the company making them isn't doing the best job at it... Even though they got a shot ton of money and have only made like 90 of these things of the 3000 they are contracted for

Years ago I was in a Carl's Jr and some guy was on the phone talking and gloating about how he charged 100 bucks per screw that he got from home Depot for his government contract... I don't know why I always remember that but I always have thought about how fucked it was and how there must be so many more people doing the same shit.

Every place I've been it's either the DMV or RMV which isn't a lot of places but still... Some places the tag goes on your car window not your license plate like NJ

Well that could explain a lot of what is so confusing at least to me...

Yeah maybe it's me but I've never heard someone call a licence plate a tag before...

But not tags at least not 8 years ago when I still lived there

Yeah but my question was for tags not plates

What state requires a front and rear tag? Seems excessive?

Edit: People in here not understanding the difference between a tag and a license plate

Edit apparently it's common for both to be called tags... Depending where your from... To make this whole thing confusing...