Readit NewsThen the stock market started inflating the value of streamers because of ARR projections and studios adopted a gold rush mentality, pulled back all their content and each tried to launch their own service. Of course, this quickly fragmented the streaming market as few consumers would subscribe to more than one or two services at a time. As stock valuations dropped back to reality, the server plus bandwidth costs started piling up and the also-ran streaming services became break-even boat anchors for most studios.
Now we're left with the cultural 'worst of all worlds'. A dozen inaccessible walled gardens each neglected by their owners and no easy, central way to find and watch an old, low-value film.
Dead Comment
Dead Comment
In my opinion, using LLMs to write code comes as a faustian deal where you learn terrible practices and rely on code quantity, boilerplate, and indeterministic outputs - all hallmarks of poor software craftsmanship. Until ML can actually go end to end on requirements to product and they fire all of us, you can't cut corners on building intuition as a human by forgoing reading and writing code yourself.
I do think that there is a place for LLMs in generating ideas or exploring an untrusted knowledge base of information, but using code generated from an LLM is pure madness unless what you are building is truly going to be thrown away and rewritten from scratch, as is relying on it as a linting, debugging, or source of truth tool.
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i voluntarily left work for several months last year, when i was ready to enter the workforce again i made the template “open to work” post. within a day or so a VP who I know saw the post and offered me a job on his team. pretty much every job i’ve gotten is via linked in