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TuringNYC commented on Why is the sky blue?   explainers.blog/posts/why... · Posted by u/udit99
TuringNYC · a day ago
Brilliant explanation and beautifully presented. I wish I had a technical writer who could write up our business case this well!
TuringNYC commented on A new bill in New York would require disclaimers on AI-generated news content   niemanlab.org/2026/02/a-n... · Posted by u/giuliomagnifico
TuringNYC · 4 days ago
What happens if I use linear regression on a chart? Where does one draw the line on "AI"?
TuringNYC commented on AI is killing B2B SaaS   nmn.gl/blog/ai-killing-b2... · Posted by u/namanyayg
mbesto · 6 days ago
> we want recent examples just look at tailwindui since it's technically a SaaS.

This is a terrible example. Show me someone ripping out their SAP ERP or SalesForce CRM system where they're paying $100k+ for a vibe coded alternative and I'll believe this overall sentiment.

TuringNYC · 6 days ago
>> This is a terrible example. Show me someone ripping out their SAP ERP or SalesForce CRM system where they're paying $100k+ for a vibe coded alternative and I'll believe this overall sentiment.

I cannot imagine an SMB or fortune 500 ripping out Salesforce or SAP. However, I can see a point-tool going away (e.g., those $50/mo contracts which do something tiny like connect one tool to another.)

TuringNYC commented on Nvidia's 10-year effort to make the Shield TV the most updated Android device   arstechnica.com/gadgets/2... · Posted by u/qmr
TuringNYC · 10 days ago
I love the NVIDIA Shield as a technical product...but...I really wish they spent some effort on User Experience.
TuringNYC commented on How London became the rest of the world’s startup capital   economist.com/britain/202... · Posted by u/ellieh
philipallstar · 12 days ago
The Elizabeth Line was unbelievably expensive to build; that's how the UK did it.
TuringNYC · 12 days ago
>> The Elizabeth Line was unbelievably expensive to build; that's how the UK did it.

Fair. But what is also expensive is every single citizen taking $100 Uber rides to the airport, like in NYC. In NJ, the transit service has become so volatile and sporadic and opaque that people have reduced NJTransit use for Newark airport in favor of simply driving.

TuringNYC commented on How London became the rest of the world’s startup capital   economist.com/britain/202... · Posted by u/ellieh
anonymous908213 · 12 days ago
> Under the project name of Crossrail, the system was approved in 2007, and construction began in 2009. Originally planned to open in 2018, the project was repeatedly delayed [...] The service is named after Queen Elizabeth II, who officially opened the line on 17 May 2022[...].

I wouldn't say thin air, exactly.

TuringNYC · 12 days ago
>> I wouldn't say thin air, exactly.

Fair but have you seen how long things take in the US? The original proposal for the 2nd ave line was in 1920 and they have only managed to deploy four stops. I read about it in the news when I was in 5th grade and still read about it now, 40yrs later. https://en.wikipedia.org/wiki/Second_Avenue_Subway

Similar for the Hudson tunnel which is supposed to allow commuter trains to function w/o the current madness...

TuringNYC commented on How London became the rest of the world’s startup capital   economist.com/britain/202... · Posted by u/ellieh
cong-or · 12 days ago
Surprised London holds this position given the cost of living. Housing alone eats such a massive chunk of salary that I'd expect talent to gravitate toward cities where their equity/salary goes further. How do early-stage startups compete for engineers when rent is £2k+ for a one-bedroom?
TuringNYC · 12 days ago
>> Surprised London holds this position given the cost of living. Housing alone eats such a massive chunk of salary that I'd expect talent to gravitate toward cities where their equity/salary goes further. How do early-stage startups compete for engineers when rent is £2k+ for a one-bedroom?

thinking about comparisons, in SF the average 1B is $3300 https://www.zillow.com/rental-manager/market-trends/san-fran...

In NYC it is similar.

SF's challenge is that the business distract is split across 2 areas (SF, SV) 50mi apart, with extremely sparse public transit in SV. Everything is doable, just be prepared for $100 Uber bills as you go between meetings.

In NY the business district is thankfully mostly centralized. However, poor commuter train service outside of Manhattan makes everything more expensive as there is insatiable appetite in central areas to avoid the commuter trains.

TuringNYC commented on How London became the rest of the world’s startup capital   economist.com/britain/202... · Posted by u/ellieh
TuringNYC · 12 days ago
I cant speak to all this, but as an American doing a lot of work in London, wow transportation is incredibly great. Shockingly impressive. Traveling to London, and getting around London, and doing a lot of meetings in a small trip, is easier than anywhere in the US now because of how beautifully their transit system works (despite occasional delays which can be expected.)

The rollout of the Elizabeth Line from Heathrow airport is also eye-opening. In NYC we speak about new subways lines with hundred-year plans (recall the 2nd ave subway extension) but in London the smoothly operating Elizabeth Line seemed to be introduced out of thin air.

TuringNYC commented on After two years of vibecoding, I'm back to writing by hand   atmoio.substack.com/p/aft... · Posted by u/mobitar
orev · 15 days ago
It’s like weightlifting: sure you can use a forklift to do it, but if the goal is to build up your own strength, using the forklift isn’t going to get you there.

This is the ultimate problem with AI in academia. We all inherently know that “no pain no gain” is true for physical tasks, but the same is true for learning. Struggling through the new concepts is essentially the point of it, not just the end result.

Of course this becomes a different thing outside of learning, where delivering results is more important in a workplace context. But even then you still need someone who does the high level thinking.

TuringNYC · 15 days ago
> This is the ultimate problem with AI in academia. We all inherently know that “no pain no gain” is true for physical tasks, but the same is true for learning. Struggling through the new concepts is essentially the point of it, not just the end result.

OK but then why even use Python, or C, or anything but Assembly? Isn't AI just another layer of value-add?

TuringNYC commented on Amazon is ending all inventory commingling as of March 31, 2026   twitter.com/ghhughes/stat... · Posted by u/MrBuddyCasino
CamperBob2 · 22 days ago
The insurance company doesnt want a payout though -- they will ensure certain certifications.

Those certifications aren't worth as much as I thought they were. I just took apart a UL-certified power strip with scorched plastic, which is a significant fire hazard. It had an LED that was fed from the 120V line through a 15K 0.5-watt resistor.

TuringNYC · 22 days ago
a UL certification will hardly be the only one in place for a commercial insurance firm to guarantee a jacuzzi. Just imagine the risk of electrocution.

Just look at it from a retail standpoint -- perhaps you have car insurance.

- (where I live) You are forced to have a driver's license

- (where I live) Even if your spouse claims not to drive, they wont insure me unless all other adults in my household have licenses

- i'm forced to pay more if i drive an unsafe car vs a safe one

- I can pay less if I have a LoJack or other safety device

- I can pay further less if I take a driver's safety course which runs 5hrs long

- I can pay further less if I install a OBD-2 device sharing my driver behavior

- I risk having my insurance cancelled If I do something bad (DUI)

- I risk having no payout if I do something illegal

u/TuringNYC

KarmaCake day9953June 27, 2015
About
CTO/SVP at Big-4 Advertisement HoldCo, GenAI for Creative. Technical Architect on the worldwide Omni AI creative platform.

Previously: CTO/Co-Founder @ http://www.DocHuddle.com/, bringing ML to Medical Imaging

&& Grad student at UC Berkeley - Early work on NLP for creative: https://www.deepjams.com/

Before that: Quant Exec <-- Quant PM <-- Quant <-- Quant Dev <-- Capital Markets Dev

Obsessed with Code, Coffee, ComputerVision, and Capital markets

<< All comments are my own and do not reflect the views of my employer, university, or portfolio companies. >>

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