dmagee

Is it possible the writer's first language is not English? ... and they used LLMs to help them with a few paragraphs?

Watching the Cricket episode made me tear up. https://www.bluey.tv/watch/season-3/cricket/

There seems to be a lot of negativity from the HN crowd about this. But, the reality is that your fellow Americans voted for this. If you don'y like it, you're going to have to convince people that it's a bad idea. Getting worked up about Trump or Musk or SV bros isn't getting us anywhere.

I'm conflicted with this.

On the one hand Google started out with the intent to not be evil. Weapons seem pretty evil to me.

But on the other hand, one of the best way to maintain peace is to carry a really big stick.

I'm still not sure what the benefits of tokenising this is. Surely old school contracts and legal agreements are enough.

A discussion of Goodhart and Pradhan's claims in the "The Great Demographic Reversal".

Valid points... However:

Millions of lost jobs, millions of better, easier, higher value jobs created.

Partially true. But look at many of the rust belt towns now. High unemployment, opioid addictions. Has that been a fair outcome for them? Is it ok to leave them behind in exchange for some of these "higher value jobs"?

Why? It has never been fair play. The US has the world's biggest military and they push countries around for economic gains. The US has historically installed dictators as long as the they side with the US.

Exactly my point. It has never been fair play. Hence the traditional approach to evaluating tariffs does not always work.

No one in America wants to work in factories anymore. Unemployment is already extremely low. Where are you going to find workers to slave away in a factory in America? Illegal immigrants?

Not entirely true. Many of those workers who would traditionally work in factories are now in low wage service jobs with little job security or prospect for earnings growth.

Yeah. That's absolutely true. I think people under-appreciate their effectiveness as a negotiating tactic.

Trust in institutions is at an all time low. The last thing we need is for these institutions to veer away from their goals to push a political agenda. Good riddance to her.

https://ourworldindata.org/energy/country/france#how-much-el...

Nuclear power.

https://recallchesaboudin.org/

Fair bit of teeth on the ACCC. https://theconversation.com/accc-world-first-australias-fede...

They keep mentioning cyberwarfare teams. Anyone on HN know what that is all about?

would that turn into mob justice though?

https://www.databrew.cc/posts/covid Is a really good blog post on the data behind COVID-19.

Once countries get to about 150 cases their trajectories are very similar. So far the USA has not been too different to Italy.

What I think is really interesting is that there is public appetite for outrage against the tech giants. Hence why this article was published even though there is not a whole lot more information.

Public outrage often results in low hanging fruit for political movements to pick and use for their own gain.

If this snowballs some more I expect reactionary politicians and reactionary policies to rear their ugly head.

This is so on point.

The entire economy seems to be driven by housing in Australia.

Its a massive ponzi scheme with developers making the big bucks and the tax system geared to assist investors at the expense of first home buyers.

If housing crashes there will be a lot of very angry people in this country. Developers and governments need to wake up.

grayclhn, you might find Rob Hyndman's article on cross validation helpful. http://robjhyndman.com/hyndsight/crossvalidation/

" Asymptotically, minimizing the AIC is equivalent to minimizing the CV value. This is true for any model (Stone 1977), not just linear models. It is this property that makes the AIC so useful in model selection when the purpose is prediction."

These methods are not usually taught in economics courses. Why? Not enough data. In most cases economists are dealing with survey data, time series data and panel data. The benefits of cross validation and bootstrap/bagging grow with data size. When you're dealing with minimal amounts of messy/misbehaving data these methods lose their power.

Other methods become more important ie: Instrumental Variable estimation, Probit and Tobit models, Vector Autoregressions, Vector Error Correction models. Im sure your econ PhD student friend would know what these are.

A different tool-kit to solve different problems.

You're assuming that big name consulting companies etc are actually doing complex work.

They're not.

As an analyst/associate you're spending most of your time crunching out excel spreadsheets and powerpoint presentations. Something the average highschooler could do.