My nitpick is that thinking and dreaming about solving the problem is part of doing. Its the planning phase. Skipping This planning phase in Software engineering is the root cause of most Day 2 operations issues. However I agree that thinking or announcing about outcome is not doing.
There's probably some fuzziness here. I have notes upon notes going back ugh, 20 years (idk how old I am anymore?) that I could count as planning. At some point I need a kick in the ass to do it. Mike Tyson said everyone has a plan until they get punched in the face. Sometimes getting to prod feels like that.
Hasn't this always been the case, what is different right now is that the tech enables to do this at scale, at much higher frequency that makes them more audacious, since no regular person can keep up with it. The over saturation of lies/fake news has lead to numbness and the hyper-normalisation. So, unless something directly is affecting us currently, we won't care
No. The modern Republicans want you to believe that because it’s an easy path to despair and inaction, which means they win, but the magnitude and degree have varied significantly in the past. Where we are now is something living Americans don’t have experience with unless they escaped somewhere like the Balkans in the 90s.
Corporations are people under the current SCOTUS interpretation. Which means they have the same rights under the US Constitution, so this should be struck down in no time in the courts. Another nothing burger likely to end up just manipulating the equity market and the derivative markets in the short term for large investors to capitalize.
For anyone looking for basic information of financial statements in business, the assumptions and estimates that go into it, I recommend Financial Intelligence by Joe Knight and Karen Berman. It helped me understand how much fuzziness happens in financial statements and how they can affect a business operation
The fundamental change we need is to make corporations pay taxes on revenue (top line) and not on profits (bottom line). It's simple, easy to track and in par with income tax of regular people.
Can someone explain what's technically better in the recent embedding models. Has there been a big change in their architecture or is it lighter on memory or can handle longer context because of improved training?
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