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rodonn

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The challenge is timing. Power is a relatively low share of the cost of a modern data center, but the length of time it takes for approvals and construction for solar means it would substantially slow down the construction vs. using grid+natural gas turbines which are faster to build and get approval for.

I'm 100% on board with charging data centers more for their power usage. They can afford to pay the extra costs. They would much rather pay in dollars vs. in time.

The problem is that I don't know before I read a doc whether or not it will be useful and valuable.

If someone wants me to spend my time and attention on something they have shared, I would like them to demonstrate that they put a proportionate amount of time and effort into its production.

"profitable on inference" means "marginal costs of inference are lower than revenue". It is very common to distinguish between upfront costs vs. marginal costs when judging the economic viability of a business.

You mention "debt servicing", but OpenAI has no debt. All the money they have raised is equity not debt.

Sora 2 10 months ago

You can use the "cameo" feature only with users who have gone through the cameo creation flow. Sama has an account and created a cameo likeness of himself. When you create your cameo you can choose who is allowed to make videos using it: "only me", "people I approve", "mutuals", or "everyone".

ChatGPT Pulse 10 months ago

That's hiring for a role buying ads, not selling ads. i.e. this is ChatGPT buying ads on other platforms to promote ChatGPT.

The Clayton act explicitly includes partial acquisition as still being covered. "No person engaged in commerce or in any activity affecting commerce shall acquire, directly or indirectly, the whole or any part of the stock... [where] the effect of such acquisition may be substantially to lessen competition, or to tend to create a monopoly."

There may be some other regulations that are avoided by a partial acquisition, but it doesn't bring it wholly outside of the relevant antitrust laws.

It might reduce scrutiny, but not completely prevent it. Clayton act says "No person engaged in commerce or in any activity affecting commerce shall acquire, directly or indirectly, the whole or any part of the stock or other share capital and no person subject to the jurisdiction of the Federal Trade Commission shall acquire the whole or any part of the assets of another person engaged also in commerce or in any activity affecting commerce, where in any line of commerce or in any activity affecting commerce in any section of the country, the effect of such acquisition may be substantially to lessen competition, or to tend to create a monopoly."

The profit maximizing price after a 30% cut `q(price) * (price - 30%price)` is not the same as the profit maximizing price without that cut `q(price) price`.

As long as the demand curve is downward sloping, there will be some pass through of Apple's cut to customers, though the fraction that is passed through will depend on price elasticity.

This is why targeted advertising is so much more effective than un-targeted. On Facebook/Instagram I frequently see ads for products I was not aware of that are relevant to my interests.

Polars 3 years ago

I haven't run into any friction for (1), since worst case you just call `.to_pandas()` at the end of your pipeline before you start plotting. For any plotting apis that rely on the direct column vectors, no conversion to pandas is required.

Polars 3 years ago

For (2) I like to do:

1. `from polars import col` which at least shortens each use by a few characters 2. For columns that I use very frequently, define a "constant" for them e.g. ID=col("id").

This lets you do df.groupby(ID) instead of df.groupby(pl.col("ID")). Another advantage of defining these column "constants" is that it makes it much easier to refactor to rename all usages of the column (without needing to check whether each string "id" is being used as a column name vs. something else)

You don't 'need' tracking for ads, but it has a huge impact on the the amount of revenue per impression the ads will generate, because tracking enables you to show ads to the people those ads are relevant to.

There are a lot of business models that are feasible with tracking for ads, but are not feasible to offer for free without tracking.

If you had a system that was (a) oriented towards achieving some goal and (b) understood the world it was operating in, then allowing someone to "pull the plug" would interfere with it achieving the goal it was trying to optimize towards.

There has been some attempts at researching the question of how to design a intelligent system that is "corrigible" = willing to allow humans to change the goal it is set to optimize. This is unfortunately still an open question where no great solutions have been found that seem to be reliable when faced with a highly intelligent and capable AI system.

If you are interested in reading more, a few relevant search terms are "Off-switch game" and "corrigibility".

They key is that it is a tax on the value of the land not the size, so large plots of land would face a much smaller tax per acre compared to prime real estate in a city.

It is true that a LVT will have a larger percentage impact on the market value of undeveloped land who bought land for speculation without any investments in making the land more valuable. This will especially affect people who bought up lots of land speculating on the value going up. This includes people who bought up lots of land for farm/lumber/mining, but also people who buy up urban plots and keep them as a flat land parking lot while waiting for the value to go up.

Any change in taxes will have some winners and some losers. For example an increase in traditional property taxes hurts anyone who bought expensive houses. An sales tax/consumption taxes hurts anyone who saved up financial assets. An increase in income taxes hurts people who invested in education to increase their labor value.

The question is which is the least unfair way to tax to meet the needs of society. Most of those other taxes will actively discourage valuable investments that make society as a whole more prosperous. Property taxes discourage building. Wealth taxes discourage saving. Income taxes discourage earning and investment towards future earning. In contrast a tax on land value, doesn't cause there to be any less land. It does discourage speculation in future increases in land value, but that speculation is mostly zero sum (it might make the individual speculator richer, but doesn't increase the wealth of society as a whole).

I'm pretty sure the author is misinterpreting what she saw.

Here is a thing that Google does do: The user searches for "children's clothing". An advertiser has created a search ad for the keyword "NIKOLAI-brand kidswear". If the advertiser has enabled "broad match" for their ad, then their ad will be eligible to be shown on the user's page in one of the advertising slots, even though there are no words in common between the user's query and the advertiser's keyword.

Does anyone have evidence of Google manipulating the user's query to affect the organic search results shown to the user?

I switched from a remote job to an in person job as a machine learning engineer. I have a moderate preference for working in person with other people. I don't love having to commute, but at this point in my life it is worth the tradeoffs.

To me, the worst of all worlds is a job where I have to commute but less than half of my coworkers are work from the same office as me. At that point I have all the downsides of commuting, and very little of the upsides of getting to work in person with my teammates.

This is not true about Keybase. They do not ever store your private key on their servers https://book.keybase.io/security

"Your private keys are only stored on your devices. For extra security, your private keys are only stored on the device(s) you use Keybase on. They’re not even stored on Keybase’s servers. So if Keybase gets hacked, the security of your account isn’t compromised."