Father, Hacker (Information Security Professional), Open Source Software Developer, Inventor, and 3D printing enthusiast
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Articles like this are really just propaganda (wishful thinking) trying to soften the blow of Baumol's Cost Disease:
https://en.wikipedia.org/wiki/Baumol_effect
Industries that benefit heavily from automation reduce costs over time. Industries that rely heavily on services (that require people to perform them) increase costs over time.
If you can somehow convert a big chunk of your economy into services from automated production, you can smooth out the difference in that economic curve. In theory, that means the rich (capitalists) can continue to get richer while everyone else's salaries flatten out.
It's total bullshit. The only logical end result of such a situation is the rich getting eaten sooner rather than later.
Smart rich people are (right now) lobbying to get their taxes increased to pay for a better social safety net. Stupid rich people are lobbying for bullshit like converting everything into a subscription economy.
You apparently missed the fact that I put that in both sections 😁
There's tons of regulations that are absolutely necessary and others that are bad and lock people in to bad things.
Example: It's impossible for someone to start their own competitor to Visa/MasterCard due to the regulations!
There would need to be a stupid complex network of regulations and inspectors to do it right.
This is how all regulations work (for the most part). Also note that there's no such thing as "too much" or "too little" regulation. There's just bad regulations and good regulations.
Examples of good regulation:
- Car emissions standards
- Appliance energy efficiency requirements
- Safety regulations (all kinds)
- Loads of regulations related to banking
Examples of bad regulation:
- Requiring certification for things that don't need it (e.g. braiding hair)
- Requiring drug tests in order to receive government benefits
- Banning necessary medical procedures and medications based on religious beliefs
- Loads of regulations related to banking
Note: I work for a huge bank and our executives bitch about the cost of compliance all the time. Make them bitch more. Of all the things that need regulation, banking is of the greatest need. Never trust any financial system or transaction that isn't heavily regulated! There's an infinite number of ways to get screwed via banking and if it weren't for regulations they would screw you and everyone else as much as they possibly could. History is full of examples.
Wow! BeOS mentioned. Hello, fellow old person. While you read this comment, imagine two towers of green LEDs, gently rising and falling, based on the complexity of each word while we just Be, together.
Now let's remember why BeOS actually failed: Illegal contracts from Microsoft to prevent PC vendors from selling PCs preloaded with BeOS. Be, Inc sued Microsoft and settled out of court for $23 million and I remember that moment, thinking, "That's not enough!"
Microsoft destroyed BeOS. Not any sort of market condition or natural state of economics. The whole, "let's turn it into an appliance OS" thing was a last ditch pivot in an attempt to save the company. It was doomed from the start.
https://www.theguardian.com/technology/blog/2003/sep/07/microsoftpays
Aside: Just like Palm's WebOS which also tried to pivot into an appliance OS. Except in that case, that OS was destroyed by sheer incompetence on the part of HP's brain dead CEO: Carly Fiorina. To this day, she's still tarnishing her image by associating with the Trump administration. Very pro-Nazi.
If you ever want to point out an obvious example of how CEOs aren't any smarter than anyone else and normally only get the job based on nepotism and industry incest, she's the perfect go-to!
This is why web browsers like Firefox need their own AI. Local AI for not only creating summaries but for detecting bullshit like this.
Yes, creating summaries is kinda lame but without local AI you're at the mercy of big corporations. It's a new arms race. Not some bullshit feature that no one needs.
I'm all for it... As long as they get paid as much as their adult peers!
It's a bad idea to get kids socialized, thinking low pay is ever acceptable.
There should also be mandatory training about wage theft and how serious a crime it is for an employer to expect anyone to show up early or stay late without paying for that extra time. Have a great big award ceremony for the kids that reported employers who were caught pulling that shit! Make the employer pay them an amount equivalent to all the lost wages times three.
You want people to have more kids? Have the state give parents tax benefits (or just checks!) for each child's earnings until they're 25 or so.
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Some day, a lucky archeologist will unearth the one true archive from an innocent-looking tarball.
Not at this point, no. Not unless you know how to setup/manage docker images and have a GPU with at least 16GB of VRAM.
Also, if you're not using Linux forget it. All the AI stuff anyone would want to run is a HUGE pain in the ass to run on Windows. The folks developing these models and the tools to use them are all running Linux. Both on their servers and on their desktops and it's obvious once you start reading the
README.mdfor most of these projects.Some will have instructions for Windows but they'll either be absolutely enormous or they'll hand wave away the actual complexity, "These instructions assume you know the basics of advanced rocket science and quantum mechanics."
It depends on the size of the content on the page. As long as it's small enough to be contained within the context window, it should do a good job.
But that's all irrelevant since the point of the summary is just to give you a general idea of what's on the page. You'll still get the actual title and whatnot.
Using an LLM to search on your behalf is like using
grepto filter out unwanted nonsense. You don't use it like, "I'm feeling lucky" and pray for answers. You still need to go and open the pages in the results to get at what you want.AI models aren't trained on anything "stolen". When you steal something, the original owner doesn't have it anymore. That's not being pedantic, it's the truth.
Also, if you actually understand how AI training works, you wouldn't even use this sort of analogy in the first place. It's so wrong it's like describing a Flintstones car and saying that's how automobiles work.
Let's say you wrote a book and I used it as part of my AI model (LLM) training set. As my code processes your novel, token-by-token (not word-by-word!), it'll increase or decrease a floating point value by something like 0.001. That's it. That's all that's happening.
To a layman, that makes no sense whatever but it's the truth. How can a huge list of floating point values be used to generate semi-intelligent text? That's the actually really fucking complicated part.
Before you can even use a model you need to tokenize the prompt and then perform an inference step which then gets processed a zillion ways before that .safetensors file (which is the AI model) gets used at all.
When an AI model is outputting text, it's using a random number generator in conjunction with a word prediction algorithm that's based on the floating point values inside the model. It doesn't even "copy" anything. It's literally built upon the back of an RNG!
If an LLM successfully copies something via it's model that is just random chance. The more copies of something that went into its training, the higher the chance of it happening (and that's considered a bug, not a feature).
There's also a problem that can occur on the opposite end: When a single set of tokens gets associated with just one tiny bit of the training set. That's how you can get it to output the same thing relatively consistently when given the same prompt (associated with that set of tokens). This is also considered a bug and AI researchers are always trying to find ways to prevent this sort of thing from happening.
No it can't do that. It's an LLM, it can only generate the next word in a sequence.
Your knowledge is out of date, friend. These days you can configure an LLM to run tools like
curl,nmap,ping, or even write then execute shell scripts and Python (though, in a sandbox for security).Some tools that help you manage the models are preconfigured to make it easy for them to search the web on your behalf. I wouldn't be surprised if there's a whole ecosystem of AI tools just for searching the web that will emerge soon.
What Mozilla is implementing in Firefox will likely start with cloud-based services but eventually it'll just be using local models, running on your PC. Then all those specialized AI search tools will become less popular as Firefox's built-in features end up being "good enough".
Have you tried using an LLM configured to search the Internet for you? It's amazing!
Normal search: Loads of useless results, ads, links that are hidden ads, scams, and maybe on like the 3rd page you'll find what you're looking for.
AI search: It makes calls out to Google and DDG (or any other search engines you want) simultaneously, checks the content on each page to verify relevancy, then returns a list of URLs that are precisely what you want with summaries of each that it just generated on the fly (meaning: They're up to date).
You can even do advanced stuff like, "find me ten songs on YouTube related to breakups and use this other site to convert those URLs to .ogg files and put them in my downloads folder."
Local, FOSS AI running on your own damned PC is fucking awesome. I seriously don't understand all the hate. It's the technology everyone's always wanted and it gets better every day.
It's called dogfooding and it's what you're supposed to do to improve your product.
Total market share is irrelevant. What matters more is total users.
If you make a product and there's a million people on a platform who could buy it, the costs to port that product (and support it) need to be low for it to be worthwhile.
If the total number of people on that platform increases to 10 million, now the cost to port/support becomes more like a minuscule expense rather than a difficult decision.
When you reach 100 million there's no excuse. There's a lot of money to be made!
For reference, the current estimated amount of desktop Linux users globally is somewhere between 60-80 million. In English-speaking countries, the total is around 19-20 million.
It's actually a lot more complicated than this, but you get the general idea: There's a threshold where any given software company (including games) is throwing money away by not supporting Linux.
Also keep in mind that even if Linux had 50% market share, globally, Tim Sweeney would still not allow Epic to support it. I bet he'd rather start selling their own consoles that run Windows instead!
One thing for certain, Microsoft will not stop using Copilot to develop their software in house.
You're wrong, but I think you'll be OK with that because the reality of the situation is actually hilarious:
https://www.theverge.com/tech/865689/microsoft-claude-code-anthropic-partnership-notepad
"Turns out Copilot sucks so let's just use our competitor's superior product but that's no reason we can't keep foisting the inferior garbage on the masses!"
Random chance gambling. All throughout history there have been many statistical anomalies and if I joined them in such a competition, I'd have just as good a chance at winning as anyone else.
Everyone that said they "dropped a bomb in the toilet" is just a poser. This guy is the real deal.
Comcast—in the top ten of the shittiest companies of all time that no one wants to have to deal with—is surprised that their "new" deal of, "be slightly less villainous, and expect all our problems to go away" isn't working.
Not a damned thing in that article had anything at all to do with "chatbots".