how about returning an error ? It’s the generic “client sent something wrong” bucket. Missing a required filter param is unambiguously a client mistake according to your own docs/contract → client error → 4xx family → 400 is the safest/default member of that family.
Who will purchase the goods and services if most people loose jobs ? Also who will
pay for ad dollars what are supposed to sustain these AI business models if there no human consumers ?
Software cannot be built like skyscrapers because the sponsors know about the malleability of the medium and treat it like a lump of clay that by adding water can be shaped to something else.
You're mixing up design and manufacturing. A skyscraper is first completely designed (on paper, cad systems, prototypes), before it is manufactured. In software engineering, coding is often more a design phase than a manufacturing phase.
Designers need malleability, that is why they all want digital design systems.
Yep! Manufacturing is the running of the software, either via testing or via deployment. That’s when you’ll find bugs or design defects. Operational errors (misconfigurations, under allocation of resources) are not related to the design of the software itself.
Splitting coding and design is a bad idea. It’s like asking engineers not to draw and measure.
But software is in fact not very malleable at all. It's true the medium supports change, it's just a bunch of bits, but change is actually hard and expensive, perhaps more than other mediums.
How rapidly has business software changed since COVID? Yet how many skyscrapers remain partially unoccupied in big cities like London, because of the recent arrival of widespread hybrid working?
The buildings are structurally unchanged and haven't been demolished to make way for buildings that better support hybrid working. Sure office fit outs are more oriented towards smaller simultaneous attendance with more hot desking. Also a new industry boom around team building socials has arrived. Virtual skeet shooting or golf, for example.
On the whole, engineered cities are unchanged, their ancient and rigid specifications lacking the foresight to include the requirements that accommodate hybrid working. Software meanwhile has adapted and as the OP says, evolved.
The OP doesn’t understand the “gray zone” corporations operate. Pretty much every interaction, decision and actions operate in this domain. Ambiguity and intentional compartmentalization on a need to know basis.
Couldn’t be anymore callous and clinical. This press release alone makes me want not to use their service.
* “Following contact, the pedestrian stood up immediately, walked to the sidewalk, and we called 911. The vehicle remained stopped, moved to the side of the road, and stayed there until law enforcement cleared the vehicle to leave the scene,” Waymo wrote in the post.*
The 'next' comment after yours is "Alternate headline: Waymo saves child's life" and the 'prev' comment is "A human driver would most likely have killed this child. That's what should be on the ledger." - would either of those be less 'callous and clinical'?
Other accident reports I've seen (NTSB, etc) often seem to take a similar approach - is it a bad thing?
Or what kind of language wouldn't make you 'want not to use their service'?
The said problem statement as described in Amazon 6 pager
Problem Statement
Traditional authentication methods like ID cards, passwords, and physical keys are cumbersome, prone to loss or theft, and inefficient in high-traffic environments. In retail, healthcare, and enterprise settings, these lead to delays, security vulnerabilities, and increased operational costs. Biometric alternatives like facial recognition can raise privacy concerns and vary in accuracy due to lighting or masks. There’s a need for a secure, frictionless system that leverages unique, non-intrusive biometrics while giving users control over their data.
The question no one seems to be answering is what would be the EOL for these newer GPUs that are being churned out of NVDIA ? What % annual capital expenditures is refresh of GPUs. Will they be perpetually replaced as NVIDIA comes up with newer architectures and the AI companies chase the proverbial lure ?
I think the key to replacing is power efficiency. If Nvidia is not able to make GPUs that are cheaper to run than previous generation theres no point for replacing previous generation. Time doesn't matter.
https://www.sciencedirect.com/science/article/pii/S0956053X2...
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