Borders can be applied to table cells independent of the content inside cells.
Gap decorations allow you to add borders between flex/grid items, but without the woes of dealing with table quirks and behavior.
Common use cases would include mimicking design patterns found in print layouts, particularly newspapers and menus, to help divide groups of items or info.
I am never going to stop eating beef or poultry, no matter what any scientist or politician thinks about sustainability.
We have been using these as healthy, nutritious food sources for eons. I'm fine with people creating alternatives and making them available, but far too many people want to see the former disappear because they're misled by bad science and hysteria.
This doesn't surprise me much; social networks have worked in tandem with governments, allowing them to call the shots to remove any content that opposed their political agendas, narratives, and opinions, to the extent that facts were flat-out censored to paint certain political opponents in a bad light, or worse, create potential legal issues.
It created a world where: when disapproval inside an echo-chamber fails to a critical mass of people telling the truth, just pretend the content doesn't exist and then gaslight people using official media outlets, including Congress and the White House.
So it gave people the impression there's no difference between the two. Not only were disapproval and state force in agreement, they colluded.
You will subscribe and be happy, and when the prices increase, you will have no choice but to keep paying or you will lose access to the thing you've paid more than enough for in a lifetime, for features you never asked for.
I'd expect LLMs' biases to originate from the companies' system prompts rather than the volume of training data that happens to align with those biases.
I would expect the opposite. Seems unlikely to me an ai company would be spending much time engineering system prompts that way except in the case of maybe Grok where Elon has a bone to pick with perceived bias.
If you ask a mainstream LLM to repeat a slur back to you, it will refuse to. This was determined by the AI company, not the content it was trained on. This should be incredibly obvious — and this extends to many other issues.
In fact, OpenAI has made deliberate changes to ChatGPT more recently that helps prevent people from finding themselves in negative spirals over mental health concerns, which many would agree is a good thing. [1]
Companies typically have community guidelines that often align politically in many ways, so it stands to reason AI companies are spending a fair bit of time tailoring AI responses according to their biases as well.
That seems like more like openAI playing whackamole with behaviors they don’t like or see as beneficial, simplifying but adding things to system prompts like “don’t ever say racial slurs or use offensive rhetoric, cut off conversations about mental health and refer to a professional” are certaintly things they do. But would you not think the vast meat of what you are getting is coming from training data and not the result of such sterring beyond a thin veneer ?
Gap decorations allow you to add borders between flex/grid items, but without the woes of dealing with table quirks and behavior.
Common use cases would include mimicking design patterns found in print layouts, particularly newspapers and menus, to help divide groups of items or info.
Examples: https://developer.chrome.com/blog/gap-decorations
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