
My friend got a message on a dating app that started with "Sure! Here's an opening line that sounds flirtatious without being overly familiar"I work in IT and I hate AI it's literally the worst
Did not smash
Follow along with the video below to see how to install our site as a web app on your home screen.
Note: This feature may not be available in some browsers.
My friend got a message on a dating app that started with "Sure! Here's an opening line that sounds flirtatious without being overly familiar"I work in IT and I hate AI it's literally the worst
They've replaced the people in our training with a virtual AI trainerMy friend got a message on a dating app that started with "Sure! Here's an opening line that sounds flirtatious without being overly familiar"
Did not smash
I work for an American IT company that is all in on trying to make as much money out if AI as possible this yearI must be the only person who has no interaction as far as i know with anything AI related. And never used chatgpt either
Sounds like im winning
Well now you know another personI must be the only person who has no interaction as far as i know with anything AI related. And never used chatgpt either
Sounds like im winning
There's 3 large problems with AI, well 4I, too, had nothing to do with AI until a training program at work recently. Like anything, I see it as a useful tool if you use it in moderation. It’s certainly made a few laborious tasks, such as collating information or transcribing, easier but the moment you try to do anything creative with it, it’s just creepy.
Don’t disagree with any of that. Despite the training, I’m unlikely to use it for anything other than simple collating tasks. Energy costs is an interesting point, hadn’t considered that.There's 3 large problems with AI, well 4
There's no ethical way to create one, they're all built from stolen data
The massive energy cost of them, there's no such thing as moderation, they're the reason Google and Facebook and Microsoft etc have all walked back their emissions goals
Companies are trying to make them an everything solution, there are some tasks they are suited for but that's not what is happening
After a period of time they "hallucinate" meaning they become continuously less reliable and you can't train new models off AI data, it just collapses
So using AI for everything will break everything
The hardware they run this stuff on is massive racks of servers with enterprise GPUs with liquid coolingDon’t disagree with any of that. Despite the training, I’m unlikely to use it for anything other than simple collating tasks. Energy costs is an interesting point, hadn’t considered that.
Will they crack open our heads and feast on the goo inside?AI will cause world war. Or judgement day.
I, for one, welcome our new overlords. I’d like to remind them as a trusted TV personality, I can be helpful in rounding up others to toil in their underground sugar caves.Will they crack open our heads and feast on the goo inside?
The massive energy cost of them, there's no such thing as moderation, they're the reason Google and Facebook and Microsoft etc have all walked back their emissions goals
There have been brown outs in towns where the big companies have AI farms in AmericaThe big tech companies have commissioned small nuclear reactors to power their data centres. They are claiming it's a reliable source of safe carbon-free energy.
![]()
Amazon signs agreements for innovative nuclear energy projects to address growing energy demands
New Small Modular Reactor agreements are part of Amazon’s plan to transition to carbon-free energy.www.aboutamazon.com
Dude liked pussy.The Warnie news that surfaced the last 24 hours!!
Dude liked pussy.
Who knew
![]()
Its useful in its place. Like many things, once its "the thing" it gets used well out of its place.I must be the only person who has no interaction as far as i know with anything AI related. And never used chatgpt either
Sounds like im winning
AI has made incredible strides in many areas, but there are still several things it's quite bad at. Here are some of the key challenges AI faces:
1. Understanding Context and Nuance
AI can struggle with understanding context in conversations, jokes, or sarcasm. It may misinterpret the underlying meaning of a statement, especially in situations where there's ambiguity, cultural references, or emotional undertones. For example, AI might not always grasp when someone is being sarcastic or when an expression is meant figuratively.
2. Common Sense Reasoning
Despite advances in machine learning, AI lacks true common sense. It often fails to make simple logical inferences that humans can do instinctively. For instance, while it might recognize that a person is sitting at a desk, it may not "understand" that the desk is for working or studying, or that someone might need space to write.
3. Creativity and Originality
While AI can generate creative content (like art, music, or stories), it is usually drawing on existing patterns and data. True creativity, the ability to create something entirely new or think outside established frameworks, is still a challenge. AI is often limited to remixing and combining things it's already been trained on.
4. Emotional Intelligence
AI still struggles to fully understand and respond to human emotions. While some systems are designed to recognize emotions based on voice tone, facial expressions, or text sentiment, they don't "feel" emotions or understand the complexities of human emotional experiences. This makes AI less effective in roles requiring empathy, such as therapy or deep personal interactions.
5. Generalization and Adaptability
AI often excels in narrow tasks but struggles with generalizing across different domains or adapting to new, unforeseen circumstances. For example, a model trained to identify cats in photos might not perform well when asked to identify different types of animals unless specifically retrained.
6. Ethical Decision-Making
AI has trouble with ethical reasoning, particularly in situations involving moral dilemmas or decisions with long-term consequences. Machines lack a moral compass and often follow rigid rules or data patterns without understanding the human implications of their actions.
7. Physical World Interaction
AI struggles with real-world tasks that require fine motor skills, flexibility, or the ability to adapt to unexpected changes. While robotics is making progress, AI in physical tasks (e.g., cooking, cleaning, or complex repairs) is still far behind human capabilities.
8. Bias and Fairness
AI systems often inherit biases present in their training data. This can result in unfair or biased decisions, particularly in areas like hiring, criminal justice, and lending. Despite efforts to mitigate bias, AI models still struggle with ensuring fairness and equality.
9. Long-term Planning and Strategy
AI can be good at optimizing short-term outcomes, but it often struggles with long-term strategic planning. Predicting complex future scenarios with multiple factors is beyond the current abilities of most AI systems, especially in dynamic, real-world environments.
10. Interpreting and Handling Ambiguity
Human language is full of ambiguity. AI can have difficulty when words or phrases have multiple meanings depending on context (e.g., "bank" as a financial institution vs. the side of a river). Without deeper contextual understanding, AI may not resolve these ambiguities properly.
While AI continues to improve, these areas represent some of the significant challenges it faces today. It highlights the importance of human involvement in areas requiring complex judgment, emotional understanding, and nuanced decision-making.
98% of the Australian female population evidently. No wonder he had a heart attack. Shagged himself to death. What a way to go.Dude liked pussy.
Who knew
![]()
I think the fact he starved himself for days on end to get thin and his diet didn't help much either98% of the Australian female population evidently. No wonder he had a heart attack. Shagged himself to death. What a way to go.![]()
Just makes him so much more relatable to me.Dude liked pussy.
Who knew
![]()