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orsorna

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This guy is kind of a tool.

The reason why in 2021 that many of the wages were contractors is that he fired and rehired a lot of them to satisfy that arrangement.

Last year he worked at DOGE and wrote a sobering blogpost about getting let go from there.

Safe to say he doesn't really care about what people thinks as long as he gets cash.

Over two weeks ago, calls outnumbered puts 5 to 1 according to an article by SeekingAlpha. I am wondering if this flip is too reactive. I can't discount the "Musk premium" that keeps people enamored with his securities and cause unpredictability.

If you treat prestige acceptance rates as a derivative of the progression of racial policy, it absolutely makes sense why affirmative action is in place given the history of racial justice in America.

Can you really claim that the trend won't reverse if purely meritocratic admissions are reinstated (disregarding legacy admits...although very unfair to disregard since their racial makeup heavily tracks with asian/white/etc)

It's simply a single lever to change the racial makeup of the upper class. And certainly it goes both ways, but to simply remove it with no solution implies a regression to the former system, which was all but equal, much less equitable.

For my needs, Opus does these kind of "long horizon tasks" well enough already, with additional tooling.

As long as you are chunking out the tasks generated from the plan, you can manually (or write an orchestrator to...) give the component tasks to agents that pass along inputs and outputs per the dependency graph derived from the plan.

You can write this plan yourself or review it with the agent. Chunking tasks out of the plan like this has the added benefit of being able to swap for a different model when the time comes (looking forward to Opus-level models I can run on my consumer card...)

Not really convinced using Fable and trusting the harness to orchestrate for you is worth the intelligence upgrade. An understanding of an high level implementation plan of your task is also necessary when working with colleagues who rightfully quiz you. Especially since, at least for my work, there isn't a lot that Opus struggles with.

You aren't even being roped into it with taxes, nor do you have to buy a single share.

Because of the eventual index inclusions, and insane market cap, this affects nearly everyone with a retirement account. Unless you aren't tracking big indexes for some reason.

Your comment carries disdain for people who lack "self control" from engaging with algorithms that are proficiently designed to keep you engaged with the content, as if checking little boxes in the user's grey matter. Does your grey matter have foolproof methods to avert manipulation from processes that have billions of dollars and thousands of man hours poured into figuring out how to keep you engaged? Are you immune to tricks being developed in the future right now? Who's to say you haven't been manipulated through multiple degrees of separation?

This is sort of the explanation I was looking for. So I've learned this is a pretty good snowboard sim and that people really love it, but those aren't as enticing factors as the game just being hard to find. N64 emulation is still not really there and probably never will be so a decomp makes sense.

There are idea guys that thought it was funny to decompile an obscure N64 game with little cultural and nostalgic attention, and they found themselves at the intersection of special interest doers which they could egg on into doing it?

More I am just confused for why the game was chosen. SM64, Zelda OoT for example I could easily understand the community motivations behind decompiling. This not so much, which makes the whole endeavor even cooler.

I would probably hate someone if they were buying the same hardware as me but doing something actually useful with it. Any game worth playing doesn't require high specs anyway. There is such a large catalog of old games.

The first time I read about Trump saying that "we" were going to buy Spirit, I thought he meant him personally

He views the federal government as his assets to use and not the people's, I don't blame your confusion. This philosophy at the highest seat of office is unprecedented in America.

I appreciate you clarifying my understanding; yes I understand LLMs are not continuously trained.

Is your claim that when the second prompt comes in, Anthropic search previous queries and injects the answer into the context window?

Yes. I would be terrified if this could be replicated with an open weight model locally. But this, well we have a general understanding of how these hosted models function we really don't know /exactly/ what they are processing.