Probably their auditors? Lying about this would be tantamount to (very serious) securities fraud. Not sure what you're basing on your allegations on besides "trust me bro"
Why would lying about having E2EE be securities (as in stock market) fraud? Would that make any lie ever told by a corporation equate to stock market fraud?
Most of the big AI/HPC clusters these systems are aimed at aren’t running regular PCIe Ethernet between nodes, they’re usually wired up with InfiniBand fabrics (HDR/NDR now, XDR soon)
The most egregious thing Perplexity did was to straight up ignore robots.txt. Cloudflare promise not to do that, so if we take their word for it, it's a quite different setup.
That said, I'm not fan of letting users forge whatever user agents they please. Instead, AIUI to opt-out of getting crawled I have to look for the existence of certain request headers[1].
So what. In a highly competitive industry they can't keep selling inference unless they continually train better models. It's like saying my airline is profitable if you don't count the cost of buying new airplanes.
This is a completely new market and players are currently burning money in order to capture market share. The money will stop flowing in at some point, but until then, you can’t compare it to an industry like aviation which is extremely mature and heavily optimized.
Nah. The software industry never really becomes mature. Microsoft is still spending a fortune churning on new versions of Windows and Office. The moment that OpenAI cuts spending on training they'll start to slide into irrelevance. Training costs are no longer just for compute resources and engineers: now they need to pay for proprietary training data to differentiate from competitors.
OpenAI have made this claim and maybe it is with API pay-per-use (there's also good evidence eveb that is not if you dive into how much a rack of B200s cost to operate), but I'd be very sceptical that the free, $20 or $200 a month plans are profitable.
Then the questions are if the market will bear the real cost and if so how competitive OpenAI are with Google when Google can do what Microsoft did to Netscape and subsidize inference for far longer than OpenAI can.
Just try using Claude with API for an hour and you will see that the subscriptions are definitely not profitable (unless they percent off “partying but dormant” is very high).
I actually talked to someone in temporal about this recently. Temporal gives you the primitives to handle it (activities, configure retries, interceptors), but you still have to implement the deduplication logic yourself for each external integration.
His advice was: Temporal solves orchestration, but making the external API calls idempotent is on you. For simple cases, write observe activities manually. For complex cases, build abstraction.
That's what led me down this path - trying to figure out if the abstraction is worth building or if manual is good enough.
Have you used Temporal for this? How do you handle the idempotency of external calls?
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