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Meanwhile... I had to step in and hand code lots of css today because copilot couldn't do the thing. And I had to step in and manually fix tests yesterday because copilot couldn't do the thing. Are you paid by OpenAI and/or Anthropic?
Have you considered not using copilot and using Claude Code or Codex directly?
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I'd happily provide one but I've had enough of being repeatedly trashed and denigrated here for posting too many archive links.
It is interesting that sites like HN have existed for decades and still don't have any real solution for this sort of problem. Is providing a way for us to all bypass paying for this content that cost money to produce actually the most desirable outcome? Like imagine if there was some 90 minute tech documentary on Netflix that was worth discussing here. Could I just rip it and link to a copy on my Google Drive? How l…
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You could look at your denigrators and decide: "fuck you". Internet points are strangely attractive but not vital. You can always post with another account with a bit of effort too. I understand that you are pissed off (as am I too) but debating with an army of bots, LLMs, wankers and Russians is unfortunately the status quo, quotidien. On the bright side there are lots of lovely folk hereabouts with a large thing be…
> You could look at your denigrators and decide: "fuck you" That escalated quickly and I enjoyed this comment a lot
Can anyone provide historical data for "job busts" or other types of declines in tech employment, massive layoffs or hire freezes? I seem to read about something like this every few years. Would like some data to see if this trend is stronger than the previous ones or not.
So I want to talk about the Claude Mythos mega-model that had a real marketing push in the last week. Marcus Hutchins (of IWannaCry fame) posted about the economics of this [1]. The upshot here is this was a longstanding BSD bug but mostly because nobody is paying BSD bug bounties and a null-pointer dereference may induce a crash but rarely (if ever) leads to privilege escalation as buffer overflows generally do so i…
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>in the case of a crash no one will be buying new GPUs and thus the existing ones could hold their value longer. No, because no one has any use for those monstrous GPUs outside of ML and some research projects. They can't even be dropped onto the consumer market because a SOHO is not equipped to house devices like that. The best case scenario is that the boards get dismantled and the VRAM gets salvaged for refurbishi…
There's a baseline paid demand for AI inference that can fully occupy today's GPUs (even after a crash) so there's no need to sell or scrap them.
Can anyone provide historical data for "job busts" or other types of declines in tech employment, massive layoffs or hire freezes? I seem to read about something like this every few years. Would like some data to see if this trend is stronger than the previous ones or not.
The problem with the tech layoffs is that it’s poisoning the well downstream. Smaller employers have repeatedly cited their layoffs as justification for abysmal, unlivable salaries, and demanding those of us looking for work suck it up and deal with it while they search for bottom-dollar unicorns.
AI isn’t replacing the IT crowd outside of the expected junior roles, and even that’s starting to rebound as executives realize Juniors were how they got “white glove service” for themselves - a Senior Engineer isn’t going to wipe their ass for them, job market or not, because said Engineer’s time is infinitely better spent on literally anything else.
One other thing I’ll note is that the layoffs also seem to be remnants of the Brogrammer hustle culture: tech folks were enjoying more time for themselves to grow or live life outside of work specifically thanks to a few good years of paying down technical debt with properly-staffed teams, but the grifters up top see anything less than a 9-9-6 as somehow stealing from the employer and slash accordingly. The remnants are expected to do more work for less pay, with AI tools somehow filling the gap (even though these same employers often don’t want to pay for proper tooling to maximize use of AI).
This is definitely an industry downturn as those who stand to gain maximize their immediate returns. From the perspective of the C-Suite and Boards, the safest (albeit unethical) move is to betray: if AI is a bust, they’ll have made their wealth and can fuck off; if AI eliminates jobs and work, they believe their wealth will protect them in the future dystopia of their own creation.
It’s in that context (“fuck you got mine”) that the broader narrative fits with the myriad of puzzle pieces out there (higher interest rates, stock pumps, circular financing, tariffs, aging population, AI, etc).