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mathattack

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

forbes.com
2 分·作者 mathattack·7个月前·0 评论

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

utoronto.ca
2 分·作者 mathattack·7个月前·0 评论

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

scitechdaily.com
4 分·作者 mathattack·7个月前·10 评论

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

nytimes.com
2 分·作者 mathattack·7个月前·1 评论

The untold story of how Jeffrey Epstein got rich

nytimes.com
13 分·作者 mathattack·7个月前·1 评论

The truth physics can no longer ignore

theatlantic.com
13 分·作者 mathattack·7个月前·18 评论

Forecasting Social Science: Evidence from 100 Projects

nber.org
1 分·作者 mathattack·8个月前·0 评论

John Henry and the Broken Dishwasher

substack.com
1 分·作者 mathattack·8个月前·0 评论

A deeper dive on the MIT study

substack.com
1 分·作者 mathattack·8个月前·0 评论

Why Silicon Valley Works

substack.com
2 分·作者 mathattack·8个月前·2 评论

Early Career Advice

substack.com
2 分·作者 mathattack·8个月前·0 评论

What's Your Take on Waymo?

substack.com
3 分·作者 mathattack·8个月前·0 评论

English professors take individual approaches to deterring AI use

yaledailynews.com
3 分·作者 mathattack·8个月前·0 评论

Is the Chegg layoff a harbinger for education?

substack.com
4 分·作者 mathattack·9个月前·0 评论

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

cnbc.com
2 分·作者 mathattack·9个月前·2 评论

Artificial Writing and Automated Detection [pdf]

nber.org
47 分·作者 mathattack·9个月前·32 评论

Insights and Surprises from the 2025 DORA report

substack.com
1 分·作者 mathattack·9个月前·0 评论

Flashlights and Lighthouses for Learning AI

substack.com
1 分·作者 mathattack·9个月前·0 评论

More on the buyer/seller gap in AI

substack.com
1 分·作者 mathattack·9个月前·0 评论

The Buyer/Seller Gap in AI

substack.com
1 分·作者 mathattack·9个月前·0 评论

评论

mathattack
·4天前·讨论
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天前·讨论
I’m not sure I follow.
mathattack
·16天前·讨论
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天前·讨论
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
·20天前·讨论
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天前·讨论
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天前·讨论
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天前·讨论
Yes. Though even more than the US, their engineering talent from top schools heads into consulting and finance.
mathattack
·29天前·讨论
I couldn’t believe this the first time I heard it. This isn’t new, it goes back to the 90s. Perhaps longer.
mathattack
·上个月·讨论
He’s writing satire about AI, no?
mathattack
·上个月·讨论
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
·上个月·讨论
Yes. And gut support too. The only consolation is that the software still exists.
mathattack
·2个月前·讨论
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个月前·讨论
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个月前·讨论
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个月前·讨论
I tell them “no idle conversation or verbal tics” in the instructions.
mathattack
·4个月前·讨论
It’s gotten somewhat better over time though clearly not their top priority.
mathattack
·4个月前·讨论
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个月前·讨论
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个月前·讨论
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.