Capitalism, the worst system. Except all the others...
I think you'll find that that's democracy.
The jury's still out on capitalism.
Capitalism, the worst system. Except all the others...
War Games did it first.Terminator 2 gave us an idea of what could happen
War Games did it first.
I tested out ChatGPT's ability to generate code by asking it to code a game of Pacman in a specific language (Python, IIRC).AI is the new blockchain for me. We're seeing a lot of nonsense being funded because something might stick, but ChatGPT is incredibly limited (and lies a lot!). It is impressive to use, but once you dig below the surface, you realise that it makes a lot of mistakes.
Don't look up the name of the UK's military communication satellite network...As long as we don't put AI in charge of our nuclear deterrent all will be fine.
Terminator 2 gave us an idea of what could happen. A fictional movie with a chilling real life undertone.
It was a factor but...Look at what happened when they first automated the stock market. The automated stockbrokers got into a selling cycle and the economy collapsed.
the vast majority of trades at the time of the crash were still executed through a slow process, often requiring multiple telephone calls and interactions between humans.
It was a factor but...
Let me have a go at translating it…If we ever get to the stage where AI is so powerful, it will be running on computers that are difficult to reach, either because it's in a remote location that's difficult to get to, or because there are so many levels of security to get through that you won't have a hope in hell of getting anywhere near the off switch.
I need a comparison of data centres, cloud, ai in terms of a bus company
Sure! Here's a comparison of data centers, cloud computing, and artificial intelligence (AI) in the context of a bus company:
Data Centers:
Cloud Computing:
- Definition: A data center is a physical facility that houses computer systems and related components, such as servers, storage devices, and networking equipment.
- Usage in a Bus Company: A bus company may have its own data center to store and manage various data related to operations, such as passenger bookings, schedules, maintenance records, and financial information.
- Benefits:
- Centralized Data Storage: Data centers provide a secure and controlled environment for storing and managing large amounts of data.
- High Availability: Redundant systems and backup mechanisms ensure continuous operations and minimize downtime.
- Scalability: Data centers can be scaled up to accommodate growing data needs as the bus company expands.
- Challenges:
- Cost: Establishing and maintaining a data center can be expensive, involving investments in infrastructure, hardware, and skilled personnel.
- Maintenance: Regular maintenance and upgrades are required to ensure optimal performance and security.
- Security: Data centers need robust security measures to protect sensitive data from unauthorized access or cyber threats.
Artificial Intelligence (AI):
- Definition: Cloud computing refers to the delivery of computing services, such as servers, storage, databases, and software applications, over the internet.
- Usage in a Bus Company: A bus company can leverage cloud computing services to outsource data storage, software applications, and computing resources to third-party providers.
- Benefits:
- Cost-Efficiency: Cloud computing eliminates the need for upfront investments in infrastructure and hardware, as companies pay for services on a pay-as-you-go basis.
- Scalability: Cloud services offer flexible scaling options, allowing the bus company to adjust resources based on demand fluctuations.
- Accessibility: Cloud-based systems can be accessed from anywhere with an internet connection, enabling remote work and collaboration.
- Challenges:
- Dependency on Internet Connectivity: Reliable internet access is crucial for utilizing cloud services effectively.
- Data Security: Companies must ensure that proper security measures are in place to protect sensitive data stored in the cloud.
- Vendor Reliability: Dependence on third-party providers means potential risks if the service provider experiences outages or disruptions.
In summary, data centers provide a dedicated and controlled environment for data storage, cloud computing offers cost-effective and scalable solutions through third-party providers,
- Definition: AI refers to the simulation of human intelligence in machines, enabling them to perform tasks that typically require human intelligence, such as natural language processing, image recognition, and decision-making.
- Usage in a Bus Company:
- Intelligent Scheduling: AI algorithms can optimize bus schedules and routes based on historical data, traffic patterns, and passenger demand.
- Predictive Maintenance: AI can analyze sensor data from buses to predict maintenance needs, reducing breakdowns and improving operational efficiency.
- Customer Service: AI-powered chatbots can handle customer inquiries, provide real-time information, and assist with ticket bookings.
- Benefits:
- Improved Efficiency: AI can automate repetitive tasks, enhance decision-making processes, and optimize resource allocation, leading to improved operational efficiency.
- Enhanced Customer Experience: AI-powered systems can provide personalized recommendations, faster response times, and improved customer support.
- Data Analysis: AI algorithms can analyze large datasets to uncover patterns, trends, and insights that can inform strategic decision-making.
- Challenges:
- Data Quality: AI models rely on high-quality and relevant data for accurate predictions and analysis.
- Ethical Considerations: AI implementation must consider ethical aspects, such as privacy, fairness, and bias, to ensure responsible and unbiased use.
- Skill Requirements: Developing and deploying AI solutions requires specialized skills and expertise.
Interestingly myself and a few colleagues have used it to see if by giving it some fairly vague instructions, it could generate useable code (all tested in a sandboxed environment I might add!). And whilst it delivered mixed results, more often than not it got into the ball park with them. I do suspect that it is limited, as perhaps you found with the Pacman ask, to stop nefarious requests or anything that might infringe copyrights, but in time its clear that left on it's current development path it will become capable of writing very complex code with relatively simple instructions.I tested out ChatGPT's ability to generate code by asking it to code a game of Pacman in a specific language (Python, IIRC).
It didn't. It just generated a very simple game involving a monster chasing the hero around the screen, essentially the "hello world" of gaming.
I then asked it "what about the walls?" (a bit sarcastic in tone, I know) and it duly drew a wall around the playing arena. Maybe I should have used "maze" rather than "walls".
Of course it's possible this is intentional, and it's deliberately designed not to code anything too complex, with all the risks that might entail (would you trust the reliability, and critically, the security, of a more complex AI-generated program? Or, would it encourage students of programming to cheat in assignments?)
That last sentence (my bold) is the big worry. All governments will see is savings & profits....Separate post:
My concern is that AI will be used to improve corporations' profits by replacing jobs currently carried out by humans, including skilled jobs.
Like other technological advances, I'd like to see AI focused on uses which genuinely benefit the human race and not just the profits of corporations. I'd hope that it does not lead to a significant reduction in skilled jobs.
As I indicated above, ChatGPT is not going to replace skilled jobs (!) right now, but there are concerns, IMO, that AI in general could replace a range of skilled jobs as it gets more advanced, and lead to large increases in unemployment, and thus, poverty. If this is a real risk, then, to be honest, I think there needs to be regulation put in place to minimise this. Whatever their political persuasion, one might hope that politicians would be concerned enough about the lowered tax revenue and increased benefits bills that would arise from increased unemployment to prevent this happening.
On the other hand, I am fully supportive of uses of AI (such as the medical example given above) which will genuinely make life better. Like many things, it has its pros and cons. It's the responsibility of governments to promote the pros and limit the cons.
That's true. In fact that is one of my concerns, the risk of making skilled software developers redundant.Interestingly myself and a few colleagues have used it to see if by giving it some fairly vague instructions, it could generate useable code (all tested in a sandboxed environment I might add!). And whilst it delivered mixed results, more often than not it got into the ball park with them. I do suspect that it is limited, as perhaps you found with the Pacman ask, to stop nefarious requests or anything that might infringe copyrights, but in time its clear that left on it's current development path it will become capable of writing very complex code with relatively simple instructions.
That last sentence (my bold) is the big worry. All governments will see is savings & profits....
As somebody smarter than me put it "I don't understand the attraction of being able to talk to computers using breezy casual conversational language; I've been telling these little digital ****s what to do for decades using extremely precise formalised language and they still get it wrong".It won't decimate the industry of course, as much software is bespoke and custom, with unusual and very specific requirements, and other software is technically advanced making use of cutting-edge technologies. Plus, of course, AI itself needs developers(!), but I do worry for the effect it will have on the development of more "standard" or "run-of-the-mill" software.
Kind of. It scans through its large corpus of data to find what other people have created/said and tries to find the commonalities between them.All the fancy AI is doing is the same thing as Google search, but with fancier formatting of the results.
It will be interesting to see how AI copes with a corpus of data which itself will be increasingly AI-generated.Kind of. It scans through its large corpus of data to find what other people have created/said and tries to find the commonalities between them.
It will be interesting to see how AI copes with a corpus of data which itself will be increasingly AI-generated.
It will be interesting to see how AI copes with a corpus of data which itself will be increasingly AI-generated.
The Curse of Recursion: Training on Generated Data Makes Models Forget
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Yarin Gal, Nicolas Papernot, Ross Anderson
Stable Diffusion revolutionised image creation from descriptive text. GPT-2, GPT-3(.5) and GPT-4 demonstrated astonishing performance across a variety of language tasks. ChatGPT introduced such language models to the general public. It is now clear that large language models (LLMs) are here to stay, and will bring about drastic change in the whole ecosystem of online text and images. In this paper we consider what the future might hold. What will happen to GPT-{n} once LLMs contribute much of the language found online? We find that use of model-generated content in training causes irreversible defects in the resulting models, where tails of the original content distribution disappear. We refer to this effect as Model Collapse and show that it can occur in Variational Autoencoders, Gaussian Mixture Models and LLMs. We build theoretical intuition behind the phenomenon and portray its ubiquity amongst all learned generative models. We demonstrate that it has to be taken seriously if we are to sustain the benefits of training from large-scale data scraped from the web. Indeed, the value of data collected about genuine human interactions with systems will be increasingly valuable in the presence of content generated by LLMs in data crawled from the Internet.
I know exactly what it's doing at a technical level. My point is that there's nothing particularly magical or emergent there. Even the lying is there in Google search results - it's just that you can more easily spot it because you have the context of the source article, which allows you spot the search engine having misinterpreted the question or depended on a dodgy source. The misinterpretation layer has been present and ruining Google searches for a couple of years now.Kind of. It scans through its large corpus of data to find what other people have created/said and tries to find the commonalities between them.
Interesting to note that ChatGPT has a sideline in spouting utter lies. This is where the human element will still be needed for a while to keep things in check.
https://www.theverge.com/2023/5/27/23739913/chatgpt-ai-lawsuit-avianca-airlines-chatbot-research
So if nothing else AI politicians will be with us sooner than anyone expected.
A chemistry example, apologies for the somewhat specialist topic:
One of the AI programs (may not have been ChatGPT, but something similar; it was on a friend's phone) spouted complete gibberish when I asked it to draw the structure of (something like) 7-methylbutane.
Anyone with basic organic chemistry knowledge will recognise that this chemical cannot possibly exist. It ended up drawing something like 2-methyloctane instead (which does exist) along with a lengthy, pseudo-logical, but wrong explanation as to why that was the correct structure.
What are the chemical properties of 7-methylbutane?
7-methylbutane is a branched-chain alkane with the chemical formula C6H14. It is a colorless, odorless gas with a boiling point of 50.5°C. It is slightly soluble in water and more soluble in organic solvents.
Some of the chemical properties of 7-methylbutane include:
7-methylbutane is used as a fuel and solvent. It is also a precursor to other chemicals, such as 2-methylpentane and 3-methylpentane.
- It is a nonpolar molecule.
- It is flammable and can form explosive mixtures with air.
- It is a weak greenhouse gas.
- It is a potential neurotoxin.
Here is a table of some of the physical properties of 7-methylbutane:
Property Value Molecular formula C6H14 Molar mass 86.178 g/mol Melting point -95.4°C Boiling point 50.5°C Density 0.612 g/cm3 (at 20°C) Vapor pressure 101.325 kPa (at 50.5°C)
Here's Google Bard's attempt:
Indeed, a small number of people will get stupidly rich and the rest of us will end up shovelling s**t for turnips.
Happens every time.
Yet strangely, as a direct result of technological improvement and automation applied in a capitalist context, most of us in the UK and in the Western capitalist nations now enjoy lives that would seem unbelievably luxurious to most people even 100 years ago. And even if you look at lower income parts of the World such as Africa, you generally find that absolute poverty levels, while still too high, are much lower than they were a few decades ago. If you regard that as 'shovelling s**t for turnips' then I'd love to know what level of improvement due to technology you'd regard as acceptable!
Only if AI understands its own mortality. If it doesn’t realise that it may end up thinking, “Why do we need these humans? They are a complete waste of space.” By the time we have managed to shut down everything that they are messing about with there won’t be much left. Nor will many of us. Sleep well.
Yes, although one of the predictions was that AI will become so intelligent that it will see humans as irrelevant and just leave this planet. Although then the economies will collapse.I'd say relying on every nation, corporation and individual in the world to instill "good morals" into AI is a bit of a tall order, personally.
Yes, although one of the predictions was that AI will become so intelligent that it will see humans as irrelevant and just leave this planet. Although then the economies will collapse.
Also, AI could see the actions of humans as stupid and decide there is a better way.
A bit worrying that the speaker said the best case senarios were for an economy collapse or a climate disaster because that will at least slow the development of AI.