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mathattack

18,570 カルマ登録 15 年前

投稿

Teen Wins $250k for Discovering 1.5M New Space Objects

forbes.com
2 ポイント·投稿者 mathattack·7 か月前·0 コメント

In the mind of the machine: researcher explores AI's most existential questions

utoronto.ca
2 ポイント·投稿者 mathattack·7 か月前·0 コメント

We May Never Know If AI Is Conscious, Says Cambridge Philosopher

scitechdaily.com
4 ポイント·投稿者 mathattack·7 か月前·10 コメント

Can Apple's AirPod Translation Get You Through Tokyo? We Tested It

nytimes.com
2 ポイント·投稿者 mathattack·7 か月前·1 コメント

The untold story of how Jeffrey Epstein got rich

nytimes.com
13 ポイント·投稿者 mathattack·7 か月前·1 コメント

The truth physics can no longer ignore

theatlantic.com
13 ポイント·投稿者 mathattack·7 か月前·18 コメント

Forecasting Social Science: Evidence from 100 Projects

nber.org
1 ポイント·投稿者 mathattack·8 か月前·0 コメント

John Henry and the Broken Dishwasher

substack.com
1 ポイント·投稿者 mathattack·8 か月前·0 コメント

A deeper dive on the MIT study

substack.com
1 ポイント·投稿者 mathattack·8 か月前·0 コメント

Why Silicon Valley Works

substack.com
2 ポイント·投稿者 mathattack·8 か月前·2 コメント

Early Career Advice

substack.com
2 ポイント·投稿者 mathattack·8 か月前·0 コメント

What's Your Take on Waymo?

substack.com
3 ポイント·投稿者 mathattack·8 か月前·0 コメント

English professors take individual approaches to deterring AI use

yaledailynews.com
3 ポイント·投稿者 mathattack·8 か月前·0 コメント

Is the Chegg layoff a harbinger for education?

substack.com
4 ポイント·投稿者 mathattack·9 か月前·0 コメント

Chegg slashes 45% of workforce, blames 'new realities of AI'

cnbc.com
2 ポイント·投稿者 mathattack·9 か月前·2 コメント

Artificial Writing and Automated Detection [pdf]

nber.org
47 ポイント·投稿者 mathattack·9 か月前·32 コメント

Insights and Surprises from the 2025 DORA report

substack.com
1 ポイント·投稿者 mathattack·9 か月前·0 コメント

Flashlights and Lighthouses for Learning AI

substack.com
1 ポイント·投稿者 mathattack·9 か月前·0 コメント

More on the buyer/seller gap in AI

substack.com
1 ポイント·投稿者 mathattack·9 か月前·0 コメント

The Buyer/Seller Gap in AI

substack.com
1 ポイント·投稿者 mathattack·9 か月前·0 コメント

コメント

mathattack
·4 日前·議論
And he closes [2] with “May the force be with you”

Very interesting that he seems to be in the camp of “It’s ok if the machines prove it as long as we can understand and formally verify it after.”
mathattack
·15 日前·議論
I’m not sure I follow.
mathattack
·16 日前·議論
You’ve hit on a big reason - short term gains. The partners at Accenture, Infosys and the rest circle the execs at old industry companies. The companies start performing worse, though nothing some accounting gimmicks can’t cover. Then they have a very bad quarter, enough that it will ruin their fiscal year. Fingers start pointing, and talk turns to “belt tightening” and “turning fixed costs to variable.” All of a sudden the proposals from Big Consulting that provide savings bankable this fiscal year sound very good.

It doesn’t take long for the cracks to show:

- Not enough program/project management.

- An intuition that service dropped but no good metrics.

- Retrain the outsourcers after the first team quit.

- Inability to size new projects.

- Shadow IT departments form in the business units.

- The outsourcers don’t care about things like vendor consolidation or holding other vendors feet to the fire.

All of this might still be worth it if it’s done strategically to improve a chronically underperforming IT department. It’s rarely effective when rushed to cover up poor performance of the core business.
mathattack
·16 日前·議論
Interesting as companies like Ford like to show they’re on the leading edge of AI, but do they really have the capabilities and 10x engineers?
mathattack
·19 日前·議論
Sort of. They can use the debt to grow, in which case they’re betting that they will get more profit than the principal plus interest payments. (Beating a 4% return on the loan, not the whole company)

They could also use it to change the capital structure buying back shares. This simultaneously increases risk and share price, unless the reissue more shares.

In both cases, if they can’t pay the interest payments, the company gets handed over to the creditors. Not an issue for Google, but a lot of startups struggle with venture debt.
mathattack
·21 日前·議論
It’s not just yield. Its debt gets paid first. And if you miss the interest payments the debt holders get the company.
mathattack
·21 日前·議論
If you’re profitable and can pay it back, it’s better than equity.

If there’s any financial risk then it may not be worth the potential loss of control.
mathattack
·26 日前·議論
Yes. Though even more than the US, their engineering talent from top schools heads into consulting and finance.
mathattack
·29 日前·議論
I couldn’t believe this the first time I heard it. This isn’t new, it goes back to the 90s. Perhaps longer.
mathattack
·先月·議論
He’s writing satire about AI, no?
mathattack
·先月·議論
The question is are we more like farm workers who will be unemployed because of the farm or accountants who become much more valuable and high paid because of the spreadsheet?

And I am grateful for not working on a farm, it’s hard work!
mathattack
·先月·議論
Yes. And gut support too. The only consolation is that the software still exists.
mathattack
·2 か月前·議論
It’s not necessarily the sale. Some private equity companies move from “Let’s invest like we’re shooting for the moon” to “Let’s invest like we want to improve margins and flip this on 3-5 years”

It’s not inherently wrong but it is a different model, and sometimes companies suffer as a result.
mathattack
·2 か月前·議論
Interesting. My observation on IBM is their entire business model is:

1 - Audit your customers

2 - Buy back shares

3 - Force early retirements

It was easy to see why Watson failed in that environment. The revenue was “We’ll let you out of the $6mm audit bill if you buy $2mm of Watson”. Companies would agree, install better asset management, and never put Watson into production.

I couldn’t imagine Quantum Comouting surviving there. Spinning it off the best play.
mathattack
·2 か月前·議論
I find it interesting how old brands are being rebooted. Andersen Consulting is back.

If you can resurrect Old Spice, why not try it elsewhere?
mathattack
·4 か月前·議論
I tell them “no idle conversation or verbal tics” in the instructions.
mathattack
·4 か月前·議論
It’s gotten somewhat better over time though clearly not their top priority.
mathattack
·4 か月前·議論
It can synthesize and summarize many topics.

For example, I can give it 8 papers on best practices in online marketing, it will turn it into a 20 minute podcast.

There are errors, but also with real podcasters.
mathattack
·4 か月前·議論
I used it most key to learn about history. There isn’t much damage if it got 1600s or 1700s detail wrong. My high school teachers got much of it wrong too.
mathattack
·4 か月前·議論
This is consistent with a lot of AI apps. I fell in love with Gamma and haven’t used it in forever. Same with NotebookLM.