A colonoscopy is more than screening, if they see a polyp they remove it. Left alone that polyp will very likely eventually become cancer. Routine colonoscopies for someone with IBD is multi purpose, you screen for active disease, fistula, strictures, cancer, while simulatenously treating active disease (polyp removal)
Similar things happen in any general surgery, for example you can get your tubes removed and send up with all your endometriosis that you weren't able to diagnosis removed as well
You claimed that "polyp will very likely eventually become cancer". I don't think this is true, in general, for polyps even though some might become cancerous. The paper you provided is pretty dense, but it didn't see to me as though it is saying that polyps generally become cancerous.
It's an internet forum, I didn't claim anything. And your doctor isn't going to first biopsy just a little bit of a polyp to determine if it's the "bad" kind, he's going to remove all of it.
It's annoying pedantry, a distinction without a difference.
Oh FFS. The difference between polyps very likely becoming cancer and some polyps maybe becoming cancer is not pedantry. And it probably wouldn't be as annoying to you if you just said that you didn't know instead of attempting to dig deeper by providing a source that you either didn't read or didn't understand.
There is no logic that is more expressive than a Turing machine. In fact, just about every logic you know can only expressive necessarily terminating programs. There is a bit of an issue on what exactly someone means by expressive, but if we're talking programs that compute outputs from inputs (without caring about the invariants imposed on said programs) then this holds.
I don't believe the result at all. I think it contains faulty logic. Perhaps the mathematicians involved can read the tea leaves and decide something interesting happened, but all this AI psychosis bullshit still refuses to accept that AIs do not, and cannot, have a mental model of the world.
Moreover, model output is incredibly good at looking credible but being wrong. It has NEVER produced something correct for me in a field of which I am an expert without some external oracle to validate claims (like e.g., Lean)
At this point the term "AI psychosis" is the more apt label for AI skeptics. Here we have literal Fields medalists vouching for correctness and relative importance of the result, but who cares, "I don't believe the result at all". Just pure denial of reality.
You should believe that the proof works at least as much as any ither paper in mathematics. The proof has been scrutinized by experts and simplified and improved. If you don't believe that then I'm sorry but you are deluding yourself.
The reality is that a human will learn, given any materials including LLMs, but only if they truly desire to learn. We've had MOOCs, gigantic libraries, all full of free information. You can obtain a PhD level understanding in any technical field of your choice today just by consistently going to the library and consistently applying yourself.
It's not unlike going to the gym, and we see how many people do that regularly. Except it's even funnier, because people serious about the gym but what? Tutors. They call them personal trainers. We've known for a millennium or more that 1-on-1 instruction is vastly better than anything else, but most people actually don't want to get into shape, and most people actually don't want to learn.
> The reality is that a human will learn, given any materials including LLMs, but only if they truly desire to learn. We've had MOOCs, gigantic libraries, all full of free information. You can obtain a PhD level understanding in any technical field of your choice today just by consistently going to the library and consistently applying yourself.
Not true. In every field there is guild knowledge that a person can't acquire from a library. In technical disciplines PhD-level knowledge requires experience in collaboration, research, and frequently lab work, which is impossible to acquire without access to a lab -- or just direct experience with research methods, whatever those may be. Reading papers and absorbing information aren't enough. PhD-level knowledge comes from the process of writing and doing original work.
> The reality is that a human will learn, given any materials including LLMs, but only if they truly desire to learn.
Also not true. We require kids to go to school partly because exposure to the environment and work inculcates skills regardless of whether kids want to do the work -- and regardless of whether they want to learn.
LLMs are damaging to students partly because they provide an escape hatch from that work and thereby prevent kids from acquiring skills.
Think of it this way: most people who want to be healthy and eat a healthy diet still find easy junk food tempting. What they want does not change the temptation, because the body and brain gravitate towards easy, cheap fulfillment of basic drives.
People facing challenging tasks, similarly, are tempted to take measures that reduce the amount of effort they require. The availability of tools that reduce the required effort also help shape a person's understanding of the value of the challenge and the work: "why should I do this hard task when I have a tool that can do it for me?" You and I know the answer to this question when we're discussing something like writing an essay or solving a problem in a math or programming class. Students frequently don't. They are by definition ignorant. Children, moreover, lack maturity. Their brains are less capable of resisting the easy path than an adult's. That's partly why parenting is important: parents provide boundaries and limits that kids need but won't and can't provide for themselves.
Sometimes people, especially kids, really do need to be dragged, kicking and screaming, through something in order to receive the benefits it offers. Being dragged through it sometimes convinces a person of its value and benefits. In a kid's case, there's a decent chance that the experience will improve executive function, shape expectations in a healthy way, inculcate grit, and become appreciation -- or at least habit.
I would not have written essays on my own as a student in secondary school. My English teachers had to provide that structure for me and impose the demand. But LLMs make it much more difficult to impose the demands, and kids are ill protected against the temptations of the cognitive equivalent of junk food, but an order of magnitude worse and more damaging.
The comment isn't a diatribe, and your experience as a teacher and advisor does not make your argument correct, let alone make your request any less a nonsequitur. If I disagree with you, I will always, I promise, say so. Asking that I 'please refrain' is just supercilious and silly.
It's also arguably a violation of Hacker News' guidelines:
LLM delusion is insufferable. If all it takes is tokens to make a significantly better in programming language in logarithmic time why hasn't anyone done it?
As someone who's vibecoding my own self-hosted language (via a typescript to c++ transpiler and bootstrap), I can tell you mainline commercial models like Opus 4.7 aren't quite there yet. I'm getting 10KB source files balloon into 80MB outputs for now.
The main problem is that the the problem space is vast and highly interconnected, the LLM needs to reason about the entire language every time it suggest an architectural change, but it can't, so it suggests local changes that make sense to me - a language hobbyist - then runs into much more difficult problems down the road.
Maybe Mythos with a lot of (competent) human hand-holding and pre-design can do it.
It's insane to me you spend $200 on a report you likely rarely read in detail or double check for correctness, yet you're doing it to feel good about security.
If it runs in a harness that will alert me when something dodgy is detected I'm fine to stay at that level.
I don't read it in detail because reading in detail is precisely what I delegate to the harness. The alternative is that I delegate all this trust to package managers and the maintainers which quite clearly is a bad idea.
Whether the $$ pricetag is worth it is.. relative. Also in Go you don't update all that often, really when something either breaks or there is a legitimate security reason to do so, which in deep systems software is quite infrequent.
Funnily enough for frontend NPM code our policy was to never ever upgrade and run with locked dependencies, running few years old JS deps. For internal dashboards it was perfectly fine, never missed a feature and never had a supply chain close call.
What do you when a critical vulnerability gets discovered and you have to update a package? How many critical/high severity vulnerabilities are you running with in production every day to avoid supply chain attacks?
For the stuff in more sensitive deployments it's really quite simple, just setup CORS etc properly and don't do anything overly fancy on the frontend. Worst case the user may force some internal function to eval some JS by pasting scripts into the browsers debug console.
Critical severity vulnerabilities are only critical when they are reachable, but are completely meaningless if your application doesn't touch that code at all. It's objectively more risky to "patch" those by updating dependencies than just let them be there.
I'm confused. It seems the parent comment is saying AI proliferation could make cost of goods drop orders of magnitude and you say it's detached from reality because people don't want goods, they want housing food and gas?
Yes they said "relative superabundance". Relative to history there is an abundance of most good and services (including food and housing).
As a Gen Z or Gen A I'm sure it doesn't feel this way, but that's mostly because they are comparing themselves to what they see on social media instead of comparing themselves to how people actually lived 100 years ago, or how people in developing nations lived 20 years ago.
I think point the OP was making is that as we grow abundance people will still be miserable because as expectations rise satisfaction falls. Also most people are susceptible to envy, and the more stuff there is the more statistically likely it is to be distributed unevenly.
Even if the average person's circumstances improve objectively from generation to generation, people's 's instinct are to fixate on the parts of their lives theyre unsatisfied with and to compare themselves with others who are better off - leading to subjective misery.
Similar things happen in any general surgery, for example you can get your tubes removed and send up with all your endometriosis that you weren't able to diagnosis removed as well
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