The 2000x number is based on a pathological directory in black's repo https://github.com/psf/black/tree/main/profiling which make duplicate-code really slow and a fix was done in pylint 4.1.0 according to pylint's maintainer.
The worse system is already getting gamed. There's already too much on the line for researchers/students, so they don't admit any wrong doing or retract anything. What's the worse that could happen by adding a layer of trust in the h-index ?
The metaphor doesn't match very well here because stackoverflow is not selling new tape at a premium but giving them for free and reading a stackoverflow answer is harder than asking an LLM.
Could be that AI companies feeding on stackoverflow are selling tape at a premium, and if they tell you it's only supervised learning from a lot of human experts it's going to destroy the nice bubble they have going on around AGI.
Could also be that you have to do the actual theory / practice / correction work for your basal ganglia to "know" about something without thinking about it (i.e. learn), contrary to the novel where the knowledge is directly inserted in your brain. If everyone use AI to skip the "practice" phase lazily then there's no one to make the AI evolve anymore. And the world is not a Go board where the AI can learn against itself indefinitely.
Remind me of a recent discussion we had among Stackoverflow moderator:
> “Think about it,” he continued. “Who discovers the edge cases the docs don’t mention? Who answers the questions that haven’t been asked before? It can’t be people trained only to repeat canonical answers. Somewhere, it has to stop. Somewhere, someone has to think.”
> “Yes,” said the Moderator.
> He leaned back. For a moment, restlessness flickered in his eyes.
> “So why wasn’t I told this at the start?”
> “If we told everyone,” said the Moderator gently, “we’d destroy the system. Most contributors must believe the goal is to fix their CRUD apps. They need closure. They need certainty. They need to get to be a Registered Something—Frontend, Backend, DevOps, Full stack. Only someone who suffered through the abuse of another moderator closing their novel question as a duplicate can be trusted to put enough effort to make an actual contribution”
Plus, how many shell can one individual open in a day ? I'm doing that once per day on a good day, maybe twenty if I have a lot of unplanned work on subprojects that needs to be done concurrently with my main task.
shadowsocks was the winner of the state of the art I had to do at work. It address the "long-term statistical analysis will often reveal a VPN connection regardless of obfuscation and masking (and this approach can be cheaper to support than DPI by a stat)" comment.
There's a script to update from python2 to python3, it's now the most used language in the world, and they learned their lessons about the python2 to python3 migration. A python3 script is literally the most likely candidate to be still working/maintenable by someone else in 20 years.
Meanwhile, as a maintainer, I've been reviewing more than a dozen false positives slop CVEs in my library and not a single one found an actual issue. This article's is probably going to make my situation worse.
Yeah ok. I was viewing AI as "a tool to help you code better", not as "you literally can't do anything without it generating everything for you". I could do some assembly if I really had to, but it would not be efficient at all. I wonder if there's actually "developers" who are only prompting an LLM and not understanding anything in the output ? Must be generating dumpster fires as you said.
> I fear that LLMs have already fostered the first batch of developers who cannot function without it.
Playing the contrarian here, but I'm from a batch of developers that can't function without a compiler, and I'm at 10% of what I can do without an IDE and static analysis.