These experts on AI are here to help us understand important things about AI.
Who are these generous, helpful experts that the CBC found, you ask?
“Dr. Muhammad Mamdani, vice-president of data science and advanced analytics at Unity Health Toronto”, per LinkedIn a PharmD, who also serves in various AI-associated centres and institutes.
“(Jeff) Macpherson is a director and co-founder at Xagency.AI”, a tech startup which does, uh, lots of stuff with AI (see their wild services page) that appears to have been announced on LinkedIn two months ago. The founders section lists other details apart from J.M.'s “over 7 years in the tech sector” which are interesting to read in light of J.M.'s own LinkedIn page.
Other people making points in this article:
C. L. Polk, award-winning author (of Witchmark).
“Illustrator Martin Deschatelets” whose employment prospects are dimming this year (and who knows a bunch of people in this situation), who per LinkedIn has worked on some nifty things.
“Ottawa economist Armine Yalnizyan”, per LinkedIn a fellow at the Atkinson Foundation who used to work at the Canadian Centre for Policy Alternatives.
Could the CBC actually seriously not find anybody willing to discuss the actual technology and how it gets its results? This is archetypal hood-welded-shut sort of stuff.
Things I picked out, from article and round table (before the video stopped playing):
Does that Unity Health doctor go back later and check these emergency room intake predictions against actual cases appearing there?
Who is the “we” who have to adapt here?
AI is apparently “something that can tell you how many cows are in the world” (J.M.). Detecting a lack of results validation here again.
“At the end of the day that’s what it’s all for. The efficiency, the productivity, to put profit in all of our pockets”, from J.M.
“You now have the opportunity to become a Prompt Engineer”, from J.M. to the author and illustrator. (It’s worth watching the video to listen to this person.)
Me about the article:
I’m feeling that same underwhelming “is this it” bewilderment again.
Me about the video:
Critical thinking and ethics and “how software products work in practice” classes for everybody in this industry please.
Well, you know, you don’t want to miss out! You don’t want to miss out, do you? Trust me, everyone else is doing this hot new thing, we promise. So you’d better start using it too, or else you might get left behind. What is it useful for? Well… it could make you more productive. So you better get on board now and, uh, figure out how it’s useful. I won’t tell you how, but trust me, it’s really good. You really should be afraid that you might miss out! Quick, don’t think about it so much! This is too urgent!
Pretty much this. I work in support services in an industry that can’t really use AI to resolve issues due to the myriad of different deployment types and end user configurations.
No way in hell will I be out of a job due to AI replacing me.
your industry isn’t alone in that — just like blockchains, LLMs and generative AI are a solution in search of a problem. and like with cryptocurrencies, there’s a ton of grifters with a lot of money riding on you not noticing that the tech isn’t actually good for anything
deleted by creator
Unlike blockchains, LLMs have practical uses (GH copilot, for example, and some RAG usecases like summarizing aggregated search results). Unfortunately, everyone and their mother seems to think it can solve every problem they have, and it doesn’t help when suits in companies want to use LLMs just to market that they use them.
Generally speaking, they are a solution in search of a problem though.
GH copilot, for example, and some RAG usecases like summarizing aggregated search results
you have no idea how many engineering meetings I’ve had go off the rails entirely because my coworkers couldn’t stop pasting obviously wrong shit from copilot, ChatGPT, or Bing straight into prod (including a bunch of rounds of re-prompting once someone realized the bullshit the model suggested didn’t work)
I also have no idea how many, thanks to alcohol
Ah, I see you, too, have an engineering culture of PDD
(Promptfan Driven Dev)
Haha they are, in fact, solutions that solve potential problems. They aren’t searching for problems but they are searching for people to believe that the problems they solve are going to happen if they don’t use AI.
That sounds miserable tbh. I use copilot for repetitive tasks, since it’s good at continuing patterns (5 lines slightly different each time but otherwise the same). If your engineers are just pasting whatever BS comes out of the LLM into their code, maybe they need a serious talking to about replacing them with the LLM if they can’t contribute anything meaningful beyond that.
as much as I’d like to have a serious talk with about 95% of my industry right now, I usually prefer to rant about fascist billionaire assholes like altman, thiel, and musk who’ve poured a shit ton of money and resources into the marketing and falsified research that made my coworkers think pasting LLM output into prod was a good idea
I use copilot for repetitive tasks, since it’s good at continuing patterns (5 lines slightly different each time but otherwise the same).
it’s time to learn emacs, vim, or (best of all) an emacs distro that emulates vim
it’s time to learn emacs, vim, or (best of all) an emacs distro that emulates vim
I was gonna say… good old
qa....q 20@adoes the job just fine thanks :pYes, the marketing of LLMs is problematic, but it doesn’t help that they’re extremely demoable to audiences who don’t know enough about data science to realize how unfeasable it is to have a service be inaccurate as often as LLMs are. Show a cool LLM demo to a C-suite and chances are they’ll want to make a product out of it, regardless of the fact you’re only getting acceptable results 50% of the time.
it’s time to learn emacs, vim, or (best of all) an emacs distro that emulates vim
I’m perfectly fine with vscode, and I know enough vim to make quick changes, save, and quit when git opens it from time to time. It also has multi-cursor support which helps when editing multiple lines in the same way, but not when there are significant differences between those lines but they follow a similar pattern. Copilot can usually predict what the line should be given enough surrounding context.
It’s not that uncommon when filling an array with data or populating a YAML/JSON by hand. It can even be helpful when populating something like a Docker Compose config, which I use occasionally to spin up local services while debugging like DBs and such.
deleted by creator
“learn AI now” is interesting in how much it is like the crypto “build it on chain” and how they are both different from something like “learn how to make a website”.
Learning AI and Building on chain start with deciding which product you’re going to base your learning/building on and which products you’re going to learn to achieve that. Something that has no stability and never will. It’s like saying “learn how to paint” because in the future everyone will be painting. It doesn’t matter if you choose painting pictures on a canvas or painting walls in houses or painting cars, that’s a choice left up to you.
“Learn how to make a website” can only be done on the web and, in the olden days, only with HTML.
“Learn AI now”, just like “build it on chain” is nothing but PR to make products seem like legitimised technologies.
Fuckaduck, ai is the ultimate repulseware
What’s worse is these people who shill AI and genuinely are convinced Chat GPT and stuff are going to take over the world will not feel an ounce of shame once AI dies just like the last fad.
If I was wrong about AI being completely useless and how its not going to take over the world, I’d feel ashamed at my own ignorance.
Good thing I’m right.
Something I try to remember is that being useless, broken, bad, stupid, or whatever is more reason to fear it being used and not a reason it won’t be used.
deleted by creator
I wanna expand on this a bit because it was a rush job.
This part…
Learning AI and Building on chain start with deciding which product you’re going to base your learning/building on and which products you’re going to learn to achieve that. Something that has no stability and never will.
…is a bit wrong. The AI environment has no stability now because it’s a mess of products fighting for sensationalist attention. But if it ever gains stability, as in there being a single starting point for learning AI, it will be because a product, or a brand, won. You’ll be learning a product just like people learned Flash.
Seeing people in here talk about CoPilot or ChatGPT and examples of how they have found it useful is exactly why we’re going to find ourselves in a situation where software products discourage any kind of unconventional or experimental ways of doing things. Coding isn’t a clean separation between mundane, repetitive, pattern-based, automatable tasks and R&D style, hacking, or inventiveness. It’s a recipe for applying the “wordpress theme” problem to everything where the stuff you like to do, where your creativity drives you, becomes a living hell. Like trying to customise a wordpress theme to do something it wasn’t designed to do.
The stories of chatgpt helping you out of a bind are the exact stories that companies like openAI will let you tell to advertise for them, but they’ll never go all in on making their product really good at those things because then you’ll be able to point at them and say “ahah! it can’t do this stuff!”
“wordpress theme” problem
I might know what you mean, but tell some more?
It’s my own name I made up from a period in the late 2000s, early 2010s when I’d have a lot of freelance clients ask me to build their site “but it’s easy because I have already purchased an awesome theme, I just need you to customise it a bit”
It’s the same as our current world of design systems and component libraries. They get you 95% of the way and assume that you just fill in the 5% with your own variations and customisations. But what really happens is you have 95% worth of obstruction from making what would normally be the most basic CSS adjustment.
It’s really hard to explain to someone that it’d be cheaper and faster if they gave me designs and I built a theme from scratch than it would be to panel-beat their pre-built theme into the site they want.
“customise” is the biggest lie in dev ever told
I’d have a lot of freelance clients ask me to build their site “but it’s easy because I have already purchased an awesome theme, I just need you to customise it a bit”
oh my god, this was all of my clients when I was in college
deleted by creator
holy shit, Airtable - the 4th app in my growing list of “UX is the product” apps that will definitely all be absorbed into one of the other apps on the list at some point. (Notion, Slack, Figma)
they sell flexibility, not speciality! It’s exactly what my rant about AI products is based on.
Here’s a quick collage of the 4 product taglines. Not a concrete purpose in sight. They know you can’t call them up and say “hey, I paid good money for your product and it isn’t doing productivities!”
The fastest way to build apps
this is an ad for a self-destructive work/life balance and a paycheck that’s high enough you can just barely afford to patch yourself up when it catches up with you?
ah. yeah. I know what you mean.
I have a set of thoughts on a related problem in this (which I believe I’ve mentioned here before (and, yes, still need to get to writing)).
the dynamics of precision and loss, in communication, over time, socially, end up resulting in some really funky setups that are, well, mutually surprising to most/all parties involved pretty much all of the time
and the further down the chain of loss of precision you go, well, godspeed soldier
Also, like, when you simplify the complicated parts of something, what happens to the parts of that thing that were already simple? They don’t get more simple, usually they become more complex, or not possible at all anymore.
one of the things I love ranting about, and teaching (yes, seriously), to people, is that
simple != simplicity
it’s a nuanced little distinction. but it’s also a distinction with worlds of variances.
and there are so, so, so, so, so, so many people who think the former is the goal
it’s a fucking scourge
I also like your Lisp bracketing
once you learn that I’m, at most, touristly familiar with lisp
you learn that the inside of my mind (and how it contextualises) is a deeply scary place
Reading back, this sounds a bit unhinged
I’ve been watching the 5 hours of tobacco advertising hearings from the 90s in a floating window while working on code spaghetti vue js components all day.
well, that’s definitely one of the more novel ways I’ve heard of for spending a thursday
seriously, every minute of these hearings is fascinating. Just some of the most evil, greedy, slimy shit coming out of the mouths of suited up old white men who are trying every single misdirection possible to justify targeted marketing of tobacco
(~stream of consciousness commentary because spoon deficit:)
I’ve seen samples of it used in some media before
I haven’t ever gotten to watch it myself
probably there’s value in viewing and analyzing it in depth, because… a lot of other bad actors (involved in current-day bad) pull pretty much the “same sort of shit”
the legal methodology and wordwrangling and dodging may have evolved (<- speculation/guess)
but near certainly there’s a continuum
If you feel like it :)
https://archive.org/details/tobacco_pxv27a00
I’ve lost my link to part 2 somehow…
I would say that the modern techniques are not as modern as I thought. I’m seeing plenty of similarities to crypto whataboutisms and ai charlatans claiming to care about the common person.
Not sure if this’ll work - but here’s a clip I posted on masto of a guy basically saying tobacco companies should be able to advertise because advertising is a fight for market share, not for increasing the market https://hci.social/@fasterandworse/111142173296522921
People forget just how evil the tobacco companies were. A factor in why I don’t smoke is that I just don’t want people like this to earn money.
the hearing is just for regulations on their advertising practices too. One of the most common complaints from the lobbyists was “if you want to do this you should go all the way and outlaw smoking completely” as if a marlboro logo on an f1 car was keeping the industry alive.
I think it makes a good point
Thanks! It’s not really unhinged, just written in an unhinged manner I think. Trying to make too many points in a small space
I mean, sometimes that’s my entire posting style, and that’s before I start ranting about capitalism
Don’t tone police yourself dawg, it’s all good
deleted by creator
I meant that anecdotes of these things being helpful usually present mundane, repetitive coding tasks as being separate from the supposed good parts of development, not intertwined with them. I liken that to the value proposition of frameworks, customisable themes, design systems, or component libraries. They are fine until you want to go off-script, where having deep knowledge of the underlying system becomes a burden because you are obstructed by the imposed framework.
Bingo. “Learn AI” is an even more patronizing and repellent version of “learn to code”, which was already not much of a solution to changes in the jobs market.
good point. “learn to code” is such an optimistically presented message of pessimism. It’s like those youtube remixes people would do of comedy movie trailers as horror movies. “learn to code” like “software is eating the world” works so much better as a claustrophobic, oppressive, assertion.
The blasé spite with which some people would say “just learn to code” was a precursor to the glee with which these arrogant bozos are predicting that commercial AI generators will ruin the careers of artists, journalists, filmmakers, authors, who they seem to hate.
and as we’ve seen in this thread, they don’t mind if it ruins the career of every junior dev who’s not onboard either. these bloodthirsty assholes want everyone they consider beneath them to not have gainful employment
their apparently sincere belief that not being in poverty is a privilege that people should have to earn —by doing the right kind of job, and working the right kind of way, and having the right kind of politics, is genuinely very strange and dark. The worst of vicious “stay poor” culture.
in spite of what they claim, most tech folk are extremely conservative. that’s why it’s so easy for some of them to drop the pretense of being an ally when it becomes inconvenient, or when there’s profit in adopting monstrous beliefs (and there often is)
The politics of silicon valley is a fascinating and broad topic in & of itself that could make a good thread here or in sneerclub
I haven’t paid that much attention to the software and platforms behind all this. Now that you mention it, yes, they are all products not underlying technologies. A bit like if somebody was a Zeus web server admin versus AOL web server admin without anybody being just a web server admin. Or like if somebody had to choose between Windows or Solaris without just considering operating systems.
Then again, what with all the compute and storage and ongoing development needed I’m not convinced that AI currently can be a gratis (free as in beer) thing in the same way that they just hand out web servers.
*chugga* *chugga* *chugga* … *choo* *chooooooo…*
There goes another hype train…
I think you’re missing the forest for the trees here. Learning about AI is great advice. Being able to convey that you can understand and speak to a complex topic like AI shows intelligence.
I get what you’re saying wrt block chain but the applications are night and day in terms of usability and value to the common company or consumer.Every aspect of business will be affected by ai. That’s a fact. Blockchain not so much.
you’re on an instance for folks who’ve already learned about AI and, through intensive research, have found it to be goofy as fuck grift tech designed and marketed by assholes
I work with AI so it’s not a grift. The asshole part is right tho.
why would you working in a field make it not a grift? all of the reformed cryptocurrency devs I know maintain that they didn’t know it was a grift until it was far too late (even as we told them it was in no uncertain terms). both industries seem to have the same hostility towards skeptics and constant kayfabe, and the assholes at the top are very experienced at creating systems that punish dissent.
of course I’m wasting my time explaining this — your continued paycheck and health insurance rely on you rejecting the idea that your career field produces fraudulently marketed software and garbage research. the only way that ends is if you see something bad enough you can’t reason past it, or if the money starts to show signs of running out. it’s almost certainly gonna be the latter — the fucking genius part about targeting programmers for this kind of affinity fraud is most of them have flexible enough ethics that they’ll gladly pump out shitheaded broken software that’s guaranteed to fuck up the earth and/or get folks killed if there’s quick profit in it
Every aspect of business will be affected by ai. That’s a fact.
never say “that’s a fact” about a product prediction.
the relevance of usability/ux of a thing is in inverse proportion to the value the thing creates. If it created value, usability/ux would only exist as a topic for marketing one product against another.
any industry that emphasises usability/ux as a feature is on a spectrum somewhere between problemless solutions and flooded markets.
also, re: “I work with AI so it’s not a grift.”
if your employer has a mission statement that is anything other than “make as much money as possible” then they are more likely to be a grift than a company whose mission statement is “make as much money as possible”
You now have the opportunity to become a Prompt Engineer
No way man I heard the AIs were coming for those jobs. Instead I’m gonna become a prompt writing prompt writer who writes prompts to gently encourage AIs to themselves write prompts to put J.M. out of a job. Checkmate.
deleted by creator
i’d be fine with losing my job. i hate working, let a computer do it.
only problem is my salary, which i cannot live without
I want to see “AI” bend pipe and pull wire.
“Experts were quick to clarify that this only applies to the very few people who still have jobs - namely those who followed experts’ previous warnings and learned programming, started a social media account, adapted to the new virtual reality corporate world, and invested in crytpo before the dollar crashed.”
Edit: And invested in a smart home and created a personal website.
Forgot to pivot to video! Shorts, no longform content, no shorts again!
see their wild services page
C-suit Reporting sounds cool.
We are being astroturfed big time.
The great* Jakob Nielsen is all in on AI too btw. https://www.uxtigers.com/post/ux-angst
I expect the AI-driven UX boom to happen in 2025, but I could be wrong on the specific year, as per Saffo’s Law. If AI-UX does happen in 2025, we’ll suffer a stifling lack of UX professionals with two years of experience designing and researching AI-driven user interfaces. (The only way to have two years of experience in 2025 is to start in 2023, but there is almost no professional user research and UX design done with current AI systems.) Two years is the bare minimum to develop an understanding of the new design patterns and user behaviors that we see in the few publicly available usability studies that have been done. (A few more have probably been done at places like Microsoft and Google, but they aren’t talking, preferring to keep the competitive edge to themselves.)
*sarcasm
“Did you mean: sappho’s law” no but I wish I did
deleted by creator
Nielsen
Amazing how he went from basically user driven UX to this.
Ugh, fuck this punditry. Luckily, many of the views in this article are quickly dispatched through media literacy. I hate that, for the foreseeable future, AI will be the boogeyman whispered about in all media circles. But knowing that it is a boogeyman makes it very easy to tell when it’s general sensationalist hype/drivel for selling papers vs. legitimate concerns about threats to human livelihoods. In this case, it’s more the former.
Isn’t it great how they aren’t saying how to “learn” or “accept” AI? They aren’t saying: “learn what a neural network is” or anything close to that. It’s not even: “Understand what AI does and its output and what that could be good or bad for”. They’re just saying, “Learn how to write AI prompts. No, I don’t care if it’s not relevant or useful, and it’s your fault if you can’t leverage that into job security.” They’re also saying: “be prepared to uproot your entire career in case your CEO tries to replace you, and be prepared to change careers completely. When the AI companies we run replace you, it’s not our fault because we warned you.” It’s so fucking sad that these people are allowed to have opinions. Also this:
For people like Deschatelets, it doesn’t feel that straightforward.
“There’s nothing to adapt to. To me, writing in three to four prompts to make an image is nothing. There’s nothing to learn. It’s too easy,” he said.
His argument is the current technology can’t help him — he only sees it being used to replace him. He finds AI programs that can prompt engineered images, for example, useful when looking for inspiration, but aside from that, it’s not much use.
“It’s almost treating art as if it’s a problem. The only problem that we’re having is because of greedy CEOs [of Hollywood studios or publishing houses] who make millions and millions of dollars, but they want to make more money, so they’ll cut the artists completely. That’s the problem,” he said.
A king. This should be the whole article.
Isn’t this just the latest fad? Wasn’t it the same 10 years ago except that instead of AI it was getting social media, or having a website, or smart homes?
nah, sometimes smartphones and having a website (this one, in fact) are useful
social media can fuck right off though
For the most part, no.
Smartphones could not do many jobs. Some people made a lot of money working in smartphone tech (apps etc) but this is a fundamentally different paradigm.
That being said,
having a website
How many successful businesses don’t have a website nowadays?
To use my work as an example, I work in a standard IT unit for a large organization. Right now, people send our team all sorts of requests, easier ones get handled by new coders. However, AI will likely be able to do many of those same tasks faster and much cheaper than those junior devs. Someone (I’m hoping me) will get a raise and presumably, implement, train and run that AI.
Junior coders who don’t know how to implement it are about to get screwed. And on the other end of the spectrum, senior coders who made a living by being good at very niche knowledge are about to have their exclusive knowledge exploded by AI.
I’m not actually sure learning AI will help much but what else can we do?
senior coders who made a living by being good at very niche knowledge are about to have their exclusive knowledge exploded by AI.
That sounds like precisely the opposite of what will happen, because LLMs are not competent at important detail.
@dgerard I do have some anxiety here, though: I know plenty of managers who’d look at the possibility and decide that they’re geniuses who have figured out a bold, brilliant plan to cut costs and have a great next quarter. Never mind every person with a technical clue saying it’s a irresponsibly bad idea – those naysayers are just focused on problems, not solutions.
It’ll take enormous losses, outages, and data leaks to have a chance of getting through to them…
That’s just creative destruction. Plenty of companies in the past have taken big bets on fads and failed, and yet, capitalism has not collapsed and keeps on exploiting workers and the planet.
Am I the only one having Fifth Element playing back in my head atm?
Well, a senior coder is somebody with maybe 5 years experience, tops.
The only way I can see what is at the moment called AI even just touch things like systems design, requirements analysis, technical analysis, technical architecture design and software development process creation/adaption, is by transforming the clear lists of points which are the result of such processes into the kind of fluff-heavy thick documents that managerial types find familiar and measure (by thickness) as work.
I mean that it is incredibly easy to ask an LLM how to do something in a language with which you are unfamiliar. So if you’ve made a living by being the guy who knows whatever semi obscure language, things are about to change.
How does an LLM “know” a language? By ingesting a huge amount of text and source code around the language. A semi-obscure language, by definition, does not have a huge amount of text and source code associated with it.
Similarly, people who speculate that their processes can be replaced by an LLM pre-suppose that those processes are clearly and unambiguously documented. The fact that there are humans still in the loop means they are not. So you can either make the huge effort of documenting them, then try to train an LLM, or you can just use a boring old language to automate them directly.
That’s the dangerous part:
- The LLM being just about convincing enough
- The language being unfamiliar
…
You have no way of judging how correct or how wrong the output is, and no one to hold responsible or be a guarantor.
With the recent release of the heygen drag-drop tool for video translating, and lip-syncing tool, I saw enough people say: “Look isn’t it amazing, I can speak Italian now”
No, something makes look like you can, and you have no way of judging how convincing the illusion is. Even if the output is convincing/bluffing to a native speaker, you still can’t immediately check that the translation is correct. And again no one to hold accountable.
I am talking about coding languages. There are many ways to verify that your solutions are correct.
We are over half a century into programming computers, and the industry still fights itself over basic implementations of testing and using that in-process with development.
The very nature of software correctness is a fuzzy problem (because defining the problem from requirements to code also often goes awry with imprecise specification).
Just because there exists some tooling or options doesn’t mean it’s solved
And then people like you have/argue the magical thinking belief that slapping LLMs on top of all this shit will tooooooootally work
I look forward to charging you money to help you fix your mess later.
Genuine Q: Do you think we’ll start to see llm-friendly languages emerge? Languages that consider the “llm experience” that fools like this will welcome. Or even a reversion back to low-level languages
not if you don’t know the language, and not in any generalized way thanks to the halting problem
LLMs are godawful at obscure languages. not sure how many devs working on non-legacy projects are “the guy who knows whatever semi obscure language” though given how focused the industry is on choosing tech stacks based on dev availability. so I guess your threat is directed towards the legacy projects I’m not doing, or the open source shit I’m doing on my own time in the obscure languages I prefer? cause if there’s one thing I need in my off time it’s a torrent of garbage, unreviewable PRs
deleted by creator
That’s well put!
I keep thinking/worrying in terms of how I use chatgpt vs what people think chatgpt can accomplish on its own.
To me, I feel like I’ve been given a supercharger and can handle way more than before by easily double checking syntax of better functions. But if people are relying on chatgpt to code chunks for them, god help them.
deleted by creator
I wouldn’t be so confident in replacing junior devs with “AI”:
- Even if it did work without wasting time, it’s unsustainable since junior devs need to acquire these skills, senior devs aren’t born from the void, and will eventually graduate/retire.
- A junior dev willing to engage their brain, would still iterate through to the correct implementation for cheaper (and potentially faster), than senior devs needing spend time reviewing bullshit implementations, and at arcane attempts of unreliable “AI”-prompting.
It’s copy-pasting from stack-overflow all over again. The main consequence I see for LLM based coding assistants, is a new source of potential flaws to watch out for when doing code reviews.
It’s worse that “copy-pasting from stack-overflow” because the LLM actually loses all the answer trustworthiness context (i.e. counts and ratios of upvotes and downvotes, other people’s comments).
That thing is trying to find the text tokens of answer text nearest to the text tokens of your prompt question in its text token distribution n-dimensional space (I know it sound weird, but its roughly how NNs work) and maybe you’re lucky and the highest probability combination of text-tokens was right there in the n-dimensional space “near” your prompt quest text-tokens (in which case straight googling it would probably have worked) or maybe you’re not luck and it’s picking up probabilistically close chains of text-tokens which are not logically related and maybe your’re really unlucky and your prompt question text tokens are in a sparcelly populated zone of the n-dimensional text space and you’re getting back something starting and a barelly related close cluster.
But that’s not even the biggest problem.
The biggest problem is that there is no real error margin output - the thing will give you the most genuine, professional-looking piece of output just as likely for what might be a very highly correlated chain of text-tokens as for what is just an association of text tokens which is has a low relation with your prompt question text-token.
Isn’t the lack of junior positions already a problem in a few parts of the tech industry? Due to the pressures of capitalism (drink!) I’m not sure it will be as easy as this.
I said I wouldn’t be confident about it, not that enshitification would not occur ^^.
I oscillate between optimisim and pessimism frequently, and for sure
somemany companies will make bad doo doo decisions. Ultimately trying to learn the grift is not the answer for me though, I’d rather work for some company with at least some practical sense and pretense at an attempt of some form of sustainability.The mood comes, please forgive the following, indulgent, poem:
Worse before better
Yet comes the AI winter
Ousting the feverAha yeah, im in a pretty pessimistic place atm.
The outsourcing trend wasn’t good for junior devs in the West, mainly in english-speaking countries (except India, it was great there for them).
However, AI will likely be able to do many of those same tasks faster and much cheaper than those junior devs.
I work in support too, and predict a long and profitable career cleaning up the messes the AI will create.
Nah bro, when GPT-5 comes out all code it’ll write will exactly match the specification, and it’ll also sim the entire universe to guess your mental state and correct any mistakes you made in your specs.
The singularity happens. We invent the basilisk. But, oops, the alignment we ended up with is the frustrations of hundreds of thousands of derailed projects, and poor ‘ole basi just gets to write corpware forever
Conway’s law strikes again!
deleted by creator
sensasioalist hype title
Sure.
do tell
PANIC! BE AFRAID! NRW TECH THAT WE DONT UNDERSTAND EILL DESTROY YOUR LIFE UNLESS YOU DO AS I SAY!
Sure…
oh sorry we don’t post TechTakes here, this is a WWE SmackDown! vs Raw sub
oh yeah brother
This is the best summary I could come up with:
In an era of chronic labour shortages in health care, the technology is offering huge relief to staff who Mamdani says can now better focus on patients while also saving lives.
Mamdani said St. Michael’s could reduce staffing by 20 to 30 per cent through efficiencies using things like natural language processing to go through data and collect information.
Macpherson is a director and co-founder at Xagency.AI, an agency in the Greater Toronto Area that helps companies incorporate AI into their workforces in ways ranging from customer service centres to blogs and sales.
The best thing students can do, he said, is “embrace the technology” and make sure to develop some broad, flexible skills — in areas such as entrepreneurship or cognitive thinking — so you can pivot if needed.
Blit said in the past it has been hard to get the federal government to take much action because it felt too far in the future, but there is a renewed and urgent interest as AI “exploded” overnight.
In order to prevent the human impact, we need to prepare with things like maintaining a generous social service net and thinking about retraining programs."
The original article contains 1,643 words, the summary contains 192 words. Saved 88%. I’m a bot and I’m open source!
deleted by creator
what
