9,315 karma · joined January 6, 2012
I have to imagine the Neo is lower margin %, but maybe I'm wrong.
Curious how that line is received within the HN crowd.
His philosophy was simple: “It’s the law of large numbers. If you ask enough people out, and don’t fear rejection, you’re eventually going to get a yes. And along the way, you build the confidence and skill to ask better.”
The data is there, you just have to hover over each data point.
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Seem odd that a computer from a decade ago could have more than a 1TB of incremental RAM vs what we can buy today from Apple.
I travel a lot, and frequently encounter flight delays. It’s mind boggling difficult to find out where my plane is when it’s delayed via Flighty. This and a few other things, FlightAware gets right.
I feel like Flighty is for rare leisure traveler and FlightAware is for weekly business and/or pilot traveler.
I’ve honestly had better luck with iOS built in flight tracker than Flighty itself.
One question for clarity: why don’t you see an opportunity to sell AI or other technology into this space again? Is it just because incumbents already have it locked up and it’s cheap?
The reason I ask is that this feels like one of those moments in history similar to mobile. PlanGrid succeeded because tradespeople suddenly had iPhones and iPads in the field, which made it possible to digitize blueprints and collaborate in real time.
Put differently, what could be the new “PlanGrid” for your industry - that AI makes possible now, the way mobile once did for construction?
> A full transcript of the original conversation with GPT-5.4 Pro can be found here [0] and GPT-5.4 Pro’s write-up from the end of that transcript can be found here [1].
[0] https://epoch.ai/files/open-problems/gpt-5-4-pro-hypergraph-...
[1] https://epoch.ai/files/open-problems/hypergraph-ramsey-gpt-5...
I’ve heard anecdotally that it’s < 140 ms for payment networks.
Anyone, please correct me if you know better.
I’m surprised a network so sensitive to latency (as are payment networks), was able to achieve their latency SLAs with micro services.
Maybe Amex being a closed-loop network helps with latency?
“ In an interview with {COMPANY} I was literally told that … {COMPANY-OWNER} can call us and demand anything at anytime. “
Doesn’t sound so crazy when Elon name is removed from it.
Note: I’m no Elon fan, but do think sometimes HN overreacts when his name is mentioned.
And with the tiny team working on it, it has remarkable performance.
Why is the US using such dated planes?
This proc is a hidden gem.
For most workloads it’s not just the most performant, but also the best bang-for-buck.
Isn’t the greatest experience on mobile when so little of the content can be seen due to popups.
And how do you programmatically measure it?
Meaning ... SSDs initially reused IDE/SATA interfaces, which had inherent bottlenecks because those standards were designed for spinning disks.
To fully realize SSD performance, a new transport had to be built from the ground up, one that eliminated those legacy assumptions, constraints and complexities.
Chrome is able to capture the mass consumer market, due to Google’s dark pattern to nag you to install Chrome anytime you’re on a Google property.
Edge target enterprise Fortune 500 user, who is required to use Microsoft/Office 365 at work (and its deep security permission ties to SharePoint).
Safari has Mac/iOS audience via being the default on those platform (and deep platform integration).
Brave (based on Chromium), and LibreWolf (based on Firefox) has even carved out those user who value privacy.
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What’s Firefox target user?
Long ago, Firefox was the better IE, and it had great plugins for web developers. But that was before Chrome existed and Google capturing the mass market. And the developers needed to follow its users.
So what target user is left for a Firefox?
Note: not trolling. I loved Firefox. I just don’t genuine understand who it’s for anymore.
Has 12-axis of variables (whereas most only have 1 or 2)
What could be contributing to this is recently Vertasium did a whole video on how jet engines operate at temperatures above their components melting point.
And how the cold air at altitude is what keeps it from melting.