I do not believe this is true in any meaningful sense. Schindler's list, Operation Valkyrie and the like are firmly embedded in popular culture. And of course the claim that all of any nation share an ideology is absurd to anyone who thinks about it for two seconds, but I'll give you a pass on that because I don't believe you're talking about people who think for two seconds (I claim that that is also an important error in your worldview, but that's tangential).
Not here (different EU countries); we are taught in school about both sides. There are many books based on reports or letters by soldiers or concentration camp inmates describing Germans not believing in the war effort and more so not believing in the holocaust and helping people. Schindler is a famous example.
Interesting. I haven’t had a reason to open Disney+ up after the first day. Is Disney+ relevant if you don’t enjoy Marvel or Star Wars, nor children’s shows? I know it has Simpsons, Pixar, and more. That’s pretty slim pickings compared to any other service though if you care for the three major categories above.
I did watch some of the Marvel tv content as it got a lot of hype. I don’t get it. The production quality is insanely high, but the shows and pacing seemed pretty tame. If that sort of action isn’t your thing, Netflix stuff blows it out of the water in my opinion.
Disney+ is mostly for kids and Star Wars remake fans, right?
HBO, Apple TV+ and Netflix have all mostly fallen into this trap of producing really elaborate, super expensive drama shows that are mostly really depressing, boring and dystopic. Fantastic HDR cinematography though.
I’ll totally second this. It takes away a lot of the tedium of multiprocessing programming.
I implemented it at my last job and it was a game changer. Simplified a lot of gnarly cluster management and let me focus on my code rather then figuring out how to distribute the work.
Totally agree with you, today Cloud companies: GCP, AWS and Azure native ML solutions are not a E2E platform but different teams that work independently and as a whole release a ML solution, specifically I can talk about Vertex AI. Notebooks, Training, Prediction while they provide Enterprise features (Security, Network, IAM, Encryption) do not play well with users. (Expect ML users to be Cloud Engineers) and an ML E2E workflow is hard to achieve.
I would divide the main challenges for AI startups as follows:
1. Support Enterprise Features. (Security, IAM, VPC-SC, Ecripyion)
2. If providing Compute Resources do not make that your main source of income (i.e. DeepNote, Saturn Cloud) which that may not scale.
3. Data integration. (BigQuery, S3, GCS, etc)
Databricks is one of the ones that have integrated with each of the clouds and provide this E2E workflow nicely, in addition they have seen the nascent Analytics market and invest on it.
My concern with some startups:
Cohere.AI similar to OpenAI GPT3, is that some are only solving some part of the ML workflow: (Seldom, OctoML, etc.) they may get some customers now, but will be hard to scale, and probably best destiny is getting acquire by major players.
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In my experience I have seen some candidates that work very hard and mainly do boiler plate code in their projects, they struggle in the Algos/data structures but at the end of the day they get the job done. Others perform very good in Algos/data structures but produce very little at work, and also people that do good and perform above expectations. Is hard for me to actually filter good candidates, and at the end of the day, I value output and some quality.
