| ▲ | skybrian 3 hours ago | |
These "truths" are more like concerns. Skills do atrophy if you don't practice them, but also, refreshing your memory about some technology you haven't used in a while, or even learning something new, is easier than ever. You can ask the AI questions and try things out yourself very easily. Maybe "just in time" learning isn't good enough, but that's more of a concern based on speculation than a truth. AI is being subsidized, but also, inference costs are dropping due to algorithmic improvements. For example, TurboQuant [1] looks pretty promising and even if it doesn't pan out, there are plenty of other potential advances like that. Competition might result in AI inference being available at good prices even without subsidies. So, again, more of a concern than a "truth." Prompt injection: an unsolved mess, but perhaps curated, trusted datasets will be good enough for many projects, so you don't have to expose your agent to the open Internet? It's a similar problem to the supply-chain vulnerabilities that downloadable open source libraries have. A valid concern, but it seems like we'll improve security and muddle through? Copyright: also an unsolved mess, but kind of similar. Search engines copy the web as part of how they work, but that didn't stop Google from becoming big tech. And sure, Napster was built on copying music and was shut down, but YouTube was also built on widespread copyright violation and it muddled through. It's unclear whether copyright law is load-bearing infrastructure for the software industry or for open source software. | ||