remind yourself of things you already know (what was the command for X again)
Speak for yourself, they remind me of things I used to know. I have reached a point where I feel like I have forgotten more than most people know.
remind yourself of things you already know (what was the command for X again)
Speak for yourself, they remind me of things I used to know. I have reached a point where I feel like I have forgotten more than most people know.
This isn't new since ChatGPT and friends dropped. For years before that, Google search results did limited interpretation of natural language requests, not just keyword match frequency. The SEO arms race drove a different kind of AI in search fetching for at least a decade before natural language chatbot tech hit the scene.
I don't know how much is intentional enshittification to make AI results look better vs how much is simple neglect of the SEO arms race vs maybe it's genuinely getting harder to deliver good simple search results with LLMs acting as SEO agents?
What I do know is: "AI Mode" delivers more useful information than the old style page link list does these days. The pages linked from the AI Mode results tend to be relevant and useful more than the top page of page links. Hallucinations are way down from where they were 2+ years ago, even better than "top results" misses used to be, IMO. If you're not getting enough sources in your first AI mode response, ask for more - it delivers.
As was true since the first days of the internet: trust nothing. This is random junk people stick on the web for their own purposes, you have been warned.
I was considering "cabin toilets" for a place off grid. It came down to composting and incineration models. While I was deciding, the incineration toilet factory burned down. Apparently that was Incinolet in 1994?
If you call unemployment "pay" - it's such a small amount compared to a real job it's ridiculous, but on the other hand: you've got no other sources of income so: jumping their hoops is the best way to get some money coming in.
After about 10 years experience in the field, my interviews tended toward the whole day kind of thing. Different companies do it differently, but basically if you're going to the effort of bringing a candidate to the company, might as well grill 'em for most of a workday. Some group interviews - those are pretty intimidating: a room full of people who know what they want and you guessing what it is they actually do. Mostly a series of one-on-ones, the most hostile one-on-one interviewer I ever had turned out to be the guy whose desk I was about to take over, shuffling him from a window seat back to an interior cube - he really really didn't like me in the interview, I gently mentioned it to my boss-to-be he just blew him off "don't worry about him, he's always like that..."
Generally, my out of town interviews include paid airfare, hotel and meals to do the interview, this has been the professional standard since the 1970s and before... Yeah, it's "unpaid time" but the expenses being borne by the company in the process are pretty obvious, and not insignificant.
Now, I can easily imagine today with AI HR screeners playing games of 20,000 questions before admitting you to a face-to-face round, yeah, that's gotta be annoying. One way to win those games is not to play, only deal with companies that respect your time - I understand all too well that sometimes there aren't any - but if they're wasting your time like that during the interview process, odds are high that they don't really have anything to offer anyway.
At more of a bottom-end job hunt, in high school I drove down the beach stopping in at every hotel filling out applications cold - low investment on my part. Four months later, I got a call back, apparently I was the only application on file.
US, UK, tale as old as time really - how to stay powerful? Undermine your competition.
Again. They're on the rinse-lather-repeat cycle for 400 years now.
Google quotes a standard Gemini query at 0.24Wh - and I'll say if you're continuously asking normal questions and getting answers at normal speed from Gemini, you might get 100 queries in per hour - so, at that rate, Gemini is consuming 24 watts while in use.
Interestingly, the human brain also consumes about 20 watts, so I'm here wondering if Gemini is cooking its own numbers on the first response.
When you ask it complex questions, it takes longer to respond, but says they might range up to 15Wh per response, so maybe more on the order of 500W while in continuous use for complex queries - like the power of 25 human brains instead of one.
Of course, human watts come from direct digestion of rice and beans and other "solar powered" energy sources, while electricity comes from more environmentally challenging sources.
whether it’s worth the effort to do a thorough review.
If the vibe coder learns how to vibe better....
I've been using LLMs for a lot of things since last October, the models have improved pretty dramatically since then, but so have my skills in using them - so it's hard to tell (and probably unimportant) which factor is more important in the increased quality and efficiency of my code production and reviews over the last year.
Using LLMs to review code (regardless of who/what wrote it) is a more efficient way to improving code quality, security, maintainability, etc. than just reading it all yourself. Certainly don't go blindly trusting the LLM reviews, but if you haven't tried them for pull request review, you should...
And the children over 65 clearly don't take any shit from City Hall.