Y'all are missing the point: It's probably less than 100 hours to learn the foundations of one of humanity's most-current breakthroughs. It's a disservice to any young hacker to not learn it. Here's your curriculum. Watch these:
Maybe. As the nature of assistive tools changes, so does pedagogy. Calculators are the easy example since most of us are (still) familiar. But there are others that were just as pronounced -- e.g. log tables and slide rules were transformational and instrumental at one time, and you've (probably) never used them. If you had used slide rules to solve your homework problems then were excluded from using them on exams, you'd see a similar effect.
AI is a big change; pedagogy is going to change too.
I mean, does it? The way I see it, the best LLMs have to offer is infinite patience (until they inevitably and unpredictably start to confabulate, which should be a gigantic red flag, anyhow), I don't see how LLMs can be used to explore teaching paradigms that haven't been explored before. We know pretty well from centuries of empirical experimentation how children's brains develop under different stimuli. It's not exactly something the software industry needed to "hack".
That's not answering my question, what precisely do LLM enable in ways of educating children that hasn't been thoroughly studied before? What role do you want to give chatbots in the complex framework of child brain development? How do you back it up?
> And lets not even talk, the lack of compliance in an enterprise environment, and as they defer to providers on that...
A middleman that adds compliance & regulation while skimming a slice off the top for themselves: You just described credit cards - stripe's core business...
Yeah I do. You can get data locality in GovCloud, a U.S. data centre, or even EU regions.
It’s governed by your master AWS agreement (which will make your compliance officer happy), and billing is also conveniently handled by AWS.
Of course the Chinese models on it are rotten old and not cheap. But if you want to configure an app to use inference that is entirely controlled, it’s the next best thing to running local.
- Your inputs are within the security boundary of your AWS account or AWS accounts
Can OpenRouter say the same? - NO
- Your inputs are not shared with models creators
Can OpenRouter say the same? - NO
- Your inputs are not used to train the next model
Can OpenRouter say the same? - NO
- Within certain limits and certain models:
"50.10.1. Subject to the limitations in this Section 50.10, AWS will defend you and your employees, officers, and directors against any third-party claim alleging that the Generative AI Output generated by an Indemnified Generative AI Service infringes or misappropriates that third party’s intellectual property rights, and will pay the amount of any adverse final judgment or settlement."
Can OpenRouter say the same? - NO
Why do you feel the need to label the content when the quality of the content will speak for itself?
It doesn't matter where the content comes from, only the quality/usefulness matters. If you are opposed to this idea, the next decades are going to be very tough for you :)
If the "author" can't be fucked writing their own work I don't want to be fucked reading even the couple paragraphs it takes to be offput by clanker slop.
> It doesn't matter where the content comes from
It absolutely matters to a lot of people. Things like these just provide transparency and allow people to have the necessary information to make their own decisions.
Not sure I understand your implication... because I'm the primary consumer of the content AI generates for me. I'd rather not have its output adulterated.
These are magic black boxes whose content gets constantly adulterated with no input from you.
Models from openAI had instructions in their system prompt not to talk about gremlins and goblins.
Anthropic got caught acting different if you're Chinese. Grok got its Nazi dialed turned to 11 until it started calling itself Mechahitler cause Musk found it too left leaning on Twitter.
This is (probably) a natural evolution of Garry's gbrain, a basic RAG for individual use. Gbrain is super useful as a starting point for an individual; this seems like an extension to a company.
I've found gbrain to be very effective with meetily (instead of granola), vikunja for project planning, various mcp for email, etc. It's nice not being locked in to vendors and models...
Most real estate listing using a type of "HDR" exposure stacking due to the difficulty in taking photos of rooms that exposure the interior correctly and also expose the view from the windows in the same photo. It doesn't show things that aren't there, and personally I see it as acceptable, but I could see some law accidentally making it illegal.
Obviously not, though they may count as misleading image manipulation, and should be similarly regulated. The problem is subjectivity - AI is just a convenient bright line with an easy definition.
I'm not sure the line defining what you would consider AI is actually all that bright. Sharpening? Content-aware fill? Seam carving? Style transfer? How would you define AI to draw the line where you want?
I'm sure soon enough dating apps will get smart and instead of the "you have no matches" they will make some fake AI matches so you have a feeling that something is happening and you have a chance of actually meeting someone.
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