Earlier quoted context omitted.
> Most of it's here for a reason. Your argument for host os, virtual os, container is the very point im making. Rather than solve for security and installablity, we built more tooling, more layers of abstraction. Each have overhead, security surface and complexity. Rather than solve Rusts performance (at build time), switch to a language that is faster but has more overhead, more security surface, more complexity. Yo…
If you poke it a little you will eventually get Java exceptions. Because the AI article is lying. It is not 60 year old code running on unchanged bare metal. Things got reimplemented over time.
The Problem That Built an Industry
41–50 of 52 posts
Re: The Problem That Built an Industry
#42Even 1 second transaction speed sounds slow today but if it’s replacing a 90 minute manual process I’d rather have that solution now than a microsecond fast solution that takes 5-10 years.
Re: The Problem That Built an Industry
#43It is interesting to think how AI will potentially change the dynamics back to this from general purpose software. In a world where implementation is free, will we see a return to built for purpose systems like this where we define the inputs and outputs desired and AI builds it from the ground up, completely for purpose?
It seems we can build a product ourselves in the same time it would take us to talk to saas vendors and draft the RFP/requirements. We can build it and iterate as the requirements are being forged, so can essentially have completed software with just the features we care about, with full ability to add features in future (something saas doesn’t promise) often before an implementation would even kick off. We’re searching through all our SaaS products and i expect we’ll cut 50% of them in 1-2 years. The ones that are sufficiently complex or regulated have some protection (like accounting systems).
Re: The Problem That Built an Industry
#44Earlier quoted context omitted.
Same here—I tolerated the linguistic tics, I found enough meat to keep going, but it’s the conclusions that confuse me. And that feels like the intellectually dangerous part with this sort of LLM writing. For example: > Convergent evolution is real. Every major GDS independently arrived at the same underlying platform. That is not coincidence — it is the market discovering the optimal solution to a specific problem.…
> …the LLM also seems bizarrely impressed that identifiers identify things: [...] >> One 9-character string, sitting in a PNR field, threading across four organisations' financial systems. (emphasis added) It's not that identifiers identify. It's that an identifier identifies the same thing across multiple, independent, entirely distinct systems. There are other examples: credit card numbers, government issued ID num…
That's clearly wrong, because if it were true we wouldn't be able to identify anything. Identifiers are only useful in so far as some external party assigns a meaning to the identifier. Two systems MUST pick a common idwntifier to discuss a person. They MUST pick an identifier to discuss a technical field. They MUST even pick an identifier to discuss a technical protocol.
Identifiers are everywhere. They'll usually be translated into something internal at the edge of a system, but I bet the PNR is too.
Re: The Problem That Built an Industry
#45Teleregister built a range of such special-purpose systems, for several airlines, railroads, and air traffic control. General purpose CPUs were both too expensive and too slow for these jobs in the early 1950s. Using a general purpose computer for everything didn't really happen until the minicomputer era in the mid-1970s. SABRE had to wait until general-purpose computers got better.
It's interesting that transaction processing operating systems died out. Tandem's OS worked that way. But the run transaction program once and flush it approach is almost dead. Except, amusingly, for CGI programs, which are true use-once transaction programs, with an inefficient implementation.
[1] https://www.youtube.com/watch?v=F4d-OFDs1hY
[2] https://s3data.computerhistory.org/brochures/teleregister.sp...
Re: The Problem That Built an Industry
#46Re: The Problem That Built an Industry
#47Interesting to note right at the start of the article that they sat on a plane next to each other in 1953 but the formal partnership between AA and IBM was not till 1959 - 6 years later! The article makes it look like all this happened magically fast but in reality a reminder that things take time! >> is almost mythological. In 1953, C.R. Smith, president of American Airlines, was seated next to R. Blair Smith, an IB…
So during the intermittent period IBM and American Airlines were focused on research of the problem. The system was a based on a military messaging system. What is important to note is before SABRE the system used was a sell at will until a stop message was issued. Then sales would be on request. This method is still used between different airline systems today. Before the implementation of SABRE airlines used telepr…
Re: The Problem That Built an Industry
#48Earlier quoted context omitted.
> …the LLM also seems bizarrely impressed that identifiers identify things: [...] >> One 9-character string, sitting in a PNR field, threading across four organisations' financial systems. (emphasis added) It's not that identifiers identify. It's that an identifier identifies the same thing across multiple, independent, entirely distinct systems. There are other examples: credit card numbers, government issued ID num…
> But in general, identifiers have little currency outside the system that generated them That's clearly wrong, because if it were true we wouldn't be able to identify anything. Identifiers are only useful in so far as some external party assigns a meaning to the identifier. Two systems MUST pick a common idwntifier to discuss a person. They MUST pick an identifier to discuss a technical field. They MUST even pick an…
One can cheat on this for airline systems by taking the position that "the system" is the aggregation of all the different systems, not any one of them.
Re: The Problem That Built an Industry
#49It is interesting to think how AI will potentially change the dynamics back to this from general purpose software. In a world where implementation is free, will we see a return to built for purpose systems like this where we define the inputs and outputs desired and AI builds it from the ground up, completely for purpose?
Re: The Problem That Built an Industry
#50> It...handles 50,000 transactions per second with sub-100ms latency on hardware that costs a fraction of an equivalent cloud footprint. It has been doing this for 60 years. Eat that, Bitcoin.