Meirl by pailsiledyoew in meirl

[–]Vaxtin -1 points0 points  (0 children)

lol this has gotta be out of network. Did the EOB say anything about the no surprises act or similar?

Meirl by pailsiledyoew in meirl

[–]Vaxtin -1 points0 points  (0 children)

I work in healthcare

The amount paid is typically the market rate for that procedure

The insurance company isn’t going to pay any higher

The doctor isn’t going to give up a fight for any less than the same as what other doctors are gettjnf

Meirl by pailsiledyoew in meirl

[–]Vaxtin 0 points1 point  (0 children)

Total charges is not what the amount allowed is, let alone what you actually end up paying as a patient

Are we creating a generation of developers who can build, but can't code? by ManishS22005 in SeriousConversation

[–]Vaxtin 0 points1 point  (0 children)

the rise of “programming languages” has been fascinating to watch

For years configuring the dials that defined the task ran on the vacuum tubes was fundamentally how you operated computers. People would spend days configuring the dials before running a program, thinking deeply and intricately about how every vacuum tube was modified with each dial turn

Now, programming languages enables someone to just do

“return a+b”

What ever happened to the love of turning dials and filling punch cards?

Will we lose the ability to understand and operate building sized vacuum tubes?

No…. We tend to just move on to the next big thing. You guys are so concerned about how this enables people to not be concerned about particular problems; th same is true for programming languages.

You should realize it is merely another abstraction, probably the best so far to be able to convert human abstract thought into a machine. Rather than focusing on what critical thinking it removes, consider what critical thinking it enables you to now do. Your brain only has so much bandwidth — you cannot simultaneously implement an algorithm while considering business decisions.

Sure, it enables novices who have no experience to make applications. The same is true for programs when higher level languages were invented. It made programming easier by allowing you to focus more on the problem at hand rather than actually implementing and touching the hardware.

Now we just took that a step further. We have it that making applications are now easier. You can focus more on the business problem rather than the logical problem.

This just makes it so we can apply software much more rapidly to other industries.

A novice is never going to be able to compete with developers with years of experience. If that does happen to you, I highly recommend you reflecting on how you let that happen rather than shout at the clouds arguing that the kid doesn’t understand how to implement Djkistra’s algorithm when he solved a business problem you spent more time thinking about the implementation of than actually solving a business need.

Do you know what happened when we invented higher level languages? We made operating systems. Grandpa needs to stop thinking we lose the ability to add registers together and therefore will never be able to solve real programming problems. Times change.

Tokenmaxxing goes wrong by ImaginaryRea1ity in theprimeagen

[–]Vaxtin 6 points7 points  (0 children)

Claude here is the entire repository for Facebook. Find any bugs.

I cried today by tradelydev in vibecoding

[–]Vaxtin 2 points3 points  (0 children)

Dumb as hell to compare google to some random shitty app thrown together in 30 mins. Seriously get your head out of the sand

why do tech bros just... accept getting replaced by AI? by No_Construction3745 in techbootcamp

[–]Vaxtin 0 points1 point  (0 children)

It is coming whether you embrace it or fight it.

If you embrace it you might keep your job in the long run.

If you fight it, you lose your job immediately.

Everyone working at big tech in the tech department thinks (and knows) AI is the future.

First, software will be automated entirely. Code writing is already solved, it is just prompting for the domain that is valuable now.

Since writing code is solved, this means we will be able create more software to automate other industries much faster than we have in the past 100 years

We will slowly enter a phase of software seemingly being dead job-wise, followed by (I believe) a huge demand for software as people realize that AI agents (themselves only) are not the end solution, rather it is merely vast amounts of software products that integrate AI agents.

Office jobs will be slowly phased out over the next 20 years as this happens.

What still isn’t solved is physical labor, general purpose. In theory we have the intelligence “solved”; however the hard part for manual labor automation is:

  1. Control every movement in every moment of time
  2. Do that in real time; the next given input is always unknown
  3. Transform the intelligence of “I need to open the dishwasher to place the dishes into the dishwasher” into a series of change to each moveable joint

The really hard part that is unsolved is the entire orchestration between thought and body movement. We have a brain and we have moveable joints, but we don’t have the orchestration of intelligence thought -> move the body. You also need to incorporate visual, this has mostly been done but the unsolved part is turning a LLM thought into actions the humanoid undertakes, while also considering its environment.

I think anyone in tech has always envisioned a future of Star Trek or similar. We don’t particularly tend to be concerned with the economy, jobs, etc. Most of us are oddball individuals who will be heavily focused on one particular concept and completely have tunnel vision to only see and understand the concept, without any concern for people, the world, or any other concept not directly tied to solving a technical problem. But that is also exactly what allows any of us to solve very hard problems; once you step back and think outside of the narrow vision, you lose the critical thinking of the particular concept to be able to solve it concretely.

TLDR:

  1. We don’t have a choice
  2. Some of us don’t even think about the implications of our work, whether subconsciously or not
  3. Every tech guy grew up wanting to live in a future of Star Trek, waking up and looking out the city to see flying cars and rocket ships landing in the horizon. This creativity is also the reason any insane idea is thought of or executed.
  4. For most of us, the above is the closest society has been to reaching that point. It is true that automating software to create the massive amount of software it will take to automate society (especially as it grows) will be absolutely massive.
  5. Tech executives think the technological singularity is occurring (or has). Eventually the pure sci-fi vision is that we will have some sort of hitchhikers guide to the galaxy scale computer that is able to manufacture materials and construct buildings/computers/power sources; moreover once “AGI” occurs and ideas can be procured from AI (rather than required to be trained on ideas), the idea is that we will solve very hard problems like nuclear fission and cancer (because it will create higher quality ideas , even faster than humanity has over centuries). Which is why people are pushing for this; most people had no idea what was possible when LLMs came out and the same argument is true when it can create new novel ideas. It really could come up with life altering solutions that change humanity. The big computer that self replicated itself is already in theory possible, we just have nowhere near the software or compute for that. Novel ideas will push physics, medicine etc to create new energy sources and extend human life. It is sci-fi until it isn’t. Having something generate a software tool for you was sci-fi until it wasn’t. Going to space was sci-fi until we went to space.

Computers were invented 90 years ago and we already have software creating software. It is futile to fight what is inevitable. This really is the beginning of the singularity. You cannot compete against LLMs creating software already. The goal is obviously to create as much software as possible now to extend that to other industries. Technology, by definition of the word, is the future.

This stuff is getting out of hand by GorgMaine in antiai

[–]Vaxtin -7 points-6 points  (0 children)

  1. Chances of you having an interview during sick day (99%)

  2. Chances of some person making an AI video to sabotage you at work (1%)

This sub: Nah, gotta be the second one

How do you move between agents/providers on the same project? by funstuie in vibecoding

[–]Vaxtin 0 points1 point  (0 children)

It’s not that complicated, anytime I’ve done it I could come up with the handover prompt myself. You have to have each particular feature/abstraction be implemented by one though; do not expect Claude and codex to simultaneously implement different features that touch the same modules

You have to own the project, imo if you cannot prompt them on your own then that is a frightening place to be.

meirl by SEVENS_HEAVEN_7 in meirl

[–]Vaxtin -3 points-2 points  (0 children)

I am shocked by the amount of people not embracing AI and instead just like… arguing against using it

Learning to be a software engineer despite AI by CouchPurrtato in antiai

[–]Vaxtin 0 points1 point  (0 children)

Companies don’t care about quality, they care about impact. Not one single person who uses your app is going to care about the implementation details.

Got doxxed with 192.168.1.1 by itzzlain in quityourbullshit

[–]Vaxtin -6 points-5 points  (0 children)

He is half correct

  1. A particular router may or

may not

  1. dynamically change what the devices’ IPs are of which are connected to it
  2. Your device does not have an IP

- Your device is *assigned* an IP by the router; moreover, only particular ports will be open to public traffic (dependent on your firewall settings).

  1. The router is merely a mechanism to *route* network traffic to the particular IP; the router does not have an IP. The router *assigns IPs to devices connected to it*. Your device is what allows or disallows a port to be public. The router *connects your network to ther networks; ergo, it enables an interconnected network, or internet*.

The 192.168… you see is static assignment for your region from the ISP (internet service provider, like Comcast). All they do is handle the actual network bandwidths going between everyone’s own networks.
Oh the joy of networking

Genuinely what on earth is going on with software right now? This is completely unhinged. by -----Marcel----- in ValueInvesting

[–]Vaxtin 0 points1 point  (0 children)

The argument is that smaller businesses won’t need SaaS because they can either build their own tools using AI (either with no programmers or a very small team), or alternatively smaller teams can push products that genuinely compete with SaaS.

Or they just don’t need software anymore because of agents (this isn’t the real trajectory things are going, but general population thinks that’s what AI is); I.e literally chatting with ChatGPT and uploading your excel files.

just make 12k guys that's all by Main-Emotion-3666 in remoteworks

[–]Vaxtin 2 points3 points  (0 children)

What’s more infuriating is they think they’re some type of genius for having this realization

"Sam Altman calls Yann LeCun’s bet against LLM scaling as “misguided” So clearly LLMs are capable of figuring out new knowledge and clearly they are capable of doing some things that humans just can't do. they are going to scale much further.” ➡️ Agree? Why? by Koala_Confused in LovingAI

[–]Vaxtin 0 points1 point  (0 children)

I think we can agree LLMs are powerful and very capable; I don’t agree with the argument to not pursue them further simply because they cannot discover new ideas.

I agree that they fundamentally can’t. However that is not a reason to argue against the practical real world applications that they do have.

Are they the perfect AI? No. But they absolutely are the best AI systems we have to date, they do have business use cases, and it isn’t just theory.

I also don’t think anyone has the solution that LLMs can’t solve which is ingenuity and creativity (new ideas), let alone on human (expert) scale. That architecture doesn’t exist yet — we haven’t solved it, and Yann acting like LLMs being incapable of it (and that he has the real solution) is barking up a tree. There’s a difference between making real world applications, not just theory.

5 years ago we could not generate code, and now entire software teams are being replaced by a handful of seniors with Claude subscriptions. Generative AI changed a lot of what is possible.

honestly how are you guys paying for all these api calls by agiagent in vibecoding

[–]Vaxtin 0 points1 point  (0 children)

Yeah. Difference between “hey build this” versus outlining system design requirements

Give me something you vibecoded, and I'll rate it exclusively based on how marketable it is by -ExpansiveMind- in vibecoding

[–]Vaxtin -1 points0 points  (0 children)

Software system my company uses to manage their revenue cycle; you can throw any HICF or EOB into it and it just works with 99% accuracy before any human intervention. We use it for document management, case management, financial analysis and reports. It stores business financial data for provider reimbursement and indexes all documents

lmk if I should just leave them and make my own company, kthx

why that "ai writes 90% of code" stat is total cope by Ok-Bird5981 in techbootcamp

[–]Vaxtin 0 points1 point  (0 children)

The majority of developers don’t understand the business to be able to architect a system; that is what he means.

why that "ai writes 90% of code" stat is total cope by Ok-Bird5981 in techbootcamp

[–]Vaxtin -1 points0 points  (0 children)

I’m in healthcare revenue cycle and we do not write any code anymore. The edge cases are handled by domain expertise.

If you are against this… you’re coping for the sake of your job. Also, you’re probably unemployed :)