This is nit-picky but you're probably actually referring to Cinematographers, or Directors of Photography. They're the ones who deal with the actual cameras, lens, use of light, etc. Directors deal with the actors and the script/writer.
The reason we give them awards is that the camera can't tell you which lens will give you the effect you want or how to emphasize certain emotions with light.
For category #2 it’s very useful as well and ties in with the theme of the article in that it reduces the activation energy required to almost zero. I’ve been using AI relentlessly to pursue all kinds of ideas that I would otherwise simply write down and file for later. When they involve some technology or theory I know little about I can get to a working demo in less than an hour and once I have that in hand I begin exploring the concepts I’m unfamiliar with by simply asking about them: what is this part of the code doing? Why is this needed? What other options are there? What are some existing projects that do something similar? What is the theory behind this? And then also making modifications or asking for changes or features. It allows for much wider and faster exploration and let’s you build things from scratch instead of reaching for another library so you end up learning how things work at a lower level. The code does get messy but AI is also a great tool for refactoring and debugging, you just have to adjust to the faster pace of development and remember to take more frequent pauses to clean up or rebuild from a better starting point and understanding of the problem.
From what I heard, hyperkalemia is much less of an issue than high unregulated sodium intake for a large majority of the population. The highlighted issue of toxicity in high doses applies to many household foods in general, and I wouldn't think a slightly less salty salt could be posing the highest dangers. Happy to be corrected by more medically-versed people though.
Hyperkalemia can kill you. So can hypernatremia, but we have thirst mechanisms that respond very well to that. Most people who eat more sodium get thirsty, drink more, and then urinate it out.
It’s kind of lame that these guys are blacklisting words based on some master list. Normally these things get grandfathered in but I guess they’re just blindly following orders after getting sold down the river. It seems like an insane waste of manpower if you ask me. I’d hate to be the low man on the totem pole slaving away at this kind of bitchwork and getting ragged on by the bossman if I missed a word.
Good documentation and examples help both the community and LLMs. My suggestion to any aspiring language or framework developers is to spend time creating both. If you really want to turbocharge adoption you could create a tool that automatically translates code examples from popular languages into your own language (and tests that they work) and then publish them online with some helpful comments.
Who determines who gets access to what information? The OpenAI board? Sam? What qualifies as dangerous information? Maybe it’s dangerous to allow the model to answer questions about a person. What happens when limiting information becomes a service you can sell? For the right price anything can become too dangerous for the average person to know about.
The reports are public, and if you don't feel like reading them because they're too long and thorough in their explanations of what and why you can always put them into an AI and ask it to summarise them for you.
OpenAI is allowed to unilaterally limit the capability of their own models, just like any other software company can unilaterally limit the performance of their own software.
And they still are even when they're just blantantly wrong or even just lazy — it's not like people complain about Google "lobotomising" their web browsers for no longer supporting Flash or Java applets.
The history of rocketry goes much further back than the space shuttle. The shuttle was supposed to be a step towards reusability but didn’t succeed or progress the way they thought it would. Starship is continuing that dream of full reusability and their approach is working. You can’t plan everything on paper when it comes to hardware especially when attempting things that have never been done before, you just don’t have the data in that case. You have to build prototypes and test them to destruction. All manufacturers do this.
