479 karma · joined October 22, 2021
Socials: - github.com/adamjgrant
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Well, it's kind of right because we left it ambiguous what kinds of numbers these are. September 11 is a greater date than September 9. However, I would want the model to have the street smarts to assume without further context, I must be just talking about numbers as in numbers.
It finally got it!!!
I'd love it if you could just tell me exactly what sets it apart. A lot of the language reads as abstract marketing fluff like boosting my productivity and the like.
Maybe you could tell me what is bad about trello, asana, jira etc that you sought to fix with your product?
I would also ditch the ai image at the top. It kind of sends the message you phoned it in when making the website. You'd be better off just showing the product itself right from the start.
Of course, it's only just now been announced, but I'd love to see what a larger scale graphic looks like with a larger array of these to understand if perceived quality is equal or better, if brightness distribution across the spectrum is consistently achieved, how pixels behave with high frame rates and how resilient they are to potential burn-in.
Adding to this, reducing cost means they've reduced compute and improved quality per unit of computation.
That matters! It matters that these systems currently require an embarassing amount of energy to run otherwise. It matters that these models could be portable to the point where they can be run locally on portable consumer electronics rather than being locked into remote compute and HTTP calls.
I agree that "drill sergeant" wouldn't actually be the proper metaphor to use in this case. I'm literally a program manager as my day job so I see this as exercising those skills of accountability.
I think it's also worth pointing out the more advanced LLMs are exceptionally accurate (despite being imperfect and not without bias) and highly available. That's not a peg below your average search result.
Result was: "We have analyzed 1072 candidates and found 0 records matching the search criteria."
Why would you analyze _any_ candidates if the query was to find companies?
Did the author say their product was better?
Since I couldn't find it in the article or the tweet it linked to, maybe someone else needed this too. https://en.wikipedia.org/wiki/NIMBY
Because what ends up happening is I need a high degree of precision and I have a very concrete idea of what I need to present on a slide and exactly how to do it. But because it's fully automated, I have to instead convince the AI to generate my concrete idea on its own. Then I just don't use it entirely. Meanwhile, I go back to tediously making little shapes and moving them into precise locations, aligning things, and so on.