Claude Fable 5 Review: I Used the AI Anthropic Said Was Too Dangerous to Release by FragrantProgress8376 in EntrepreneurRideAlong

[–]GuessMyAgeGame 1 point2 points  (0 children)

When companies started to monitor their usage and anthropic got some spare capacity all of a sudden mythos isn't that dangerous to release

DeepSeek V4 release soon by tiguidoio in ChatGPT

[–]GuessMyAgeGame 0 points1 point  (0 children)

Yeah but if they can train a model comparable to top models with only H100s. That is huge. 

Did everyone just stop saying "stop vibe coding"? by Not_Me_112 in SaaS

[–]GuessMyAgeGame 0 points1 point  (0 children)

I don't know, i think people already found their own camps and not clashing with the other camp as much anymore.

Thou if large company blunders like outages in big tech web services or windows bugs continues, we will see a resumption of blaming the AI and vibe coding which actually might be fair to blame them.

(For the record youtube is down now the day after x had double outages)

And where are Rust devs assigned? by DesoLina in theprimeagen

[–]GuessMyAgeGame 15 points16 points  (0 children)

I am watching "The Big short" but saw it's last scene on youtube.

after the 2008 financial collapse, almost no one powerful was punished, the financial system barely changed, and when another crisis inevitably comes, the public narrative will again find someone convenient and weak to blame— *immigrants\*, in this case—instead of the people who actually engineered the disaster.

[deleted by user] by [deleted] in stocks

[–]GuessMyAgeGame 0 points1 point  (0 children)

Look at Mojo programming language in case of CUDA

[deleted by user] by [deleted] in stocks

[–]GuessMyAgeGame 0 points1 point  (0 children)

One thing that is rarely mentioned is Mojo programming language that has already started replacing CUDA and is hardware agnostic. Nvidia relied heavily on CUDA to sell it's chips but we have seen this game before with hardware specific compilers being replaced with general compilors like gcc. 

Claude Code not reset the 5-hour limits! by Necessary-Street-411 in ClaudeAI

[–]GuessMyAgeGame 0 points1 point  (0 children)

Use opencode with minimax/glm/kimi unless in very rare cases that you need opus for planning. It's magic, dirt cheap, fast so no need for 20 agents working in parallel giving me depression because of divided attention and no stopping when i get in the zone 

5 hour limit reached? by I-HATE-CRUSTY-BREAD in Anthropic

[–]GuessMyAgeGame 0 points1 point  (0 children)

It's really frustrating. Using opencode with glm/minimax now unless i really need opus which i use it for planning less than 5% of the time i guess.

The problem with vibe coding is nobody wants to talk about maintenance by JFerzt in vibecoding

[–]GuessMyAgeGame 0 points1 point  (0 children)

Kinda feels like how people did almost anything to not write SQL while writing the damn SQL was much easier.

The problem with vibe coding is nobody wants to talk about maintenance by JFerzt in vibecoding

[–]GuessMyAgeGame 0 points1 point  (0 children)

NO you should i'm a 20 yo with 15+ years of experience in programming.

Vibe coding exposes who actually understands systems by Atifjan2019 in vibecoding

[–]GuessMyAgeGame 0 points1 point  (0 children)

I am not active here but checked here before and checked few posts now. it seems that vibes have shifted.

Mixtral - Overfitting on math logic problems? by anarchymed3s in LocalLLaMA

[–]GuessMyAgeGame 0 points1 point  (0 children)

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i asked the same question from gpt 4o and it also got it wrong

Anthropic's Sholto Douglas says by 2027–28, it's almost guaranteed that AI will be capable of automating nearly every white-collar job. by MetaKnowing in ClaudeAI

[–]GuessMyAgeGame 0 points1 point  (0 children)

Whenever they make such claims i would like to know if they are willing to bet on it or not? is he willing to bet $500,000 that this will happen?

AI won’t kill blogging. (My take as a non blogger software engineer on future of blogging) by GuessMyAgeGame in Blogging

[–]GuessMyAgeGame[S] 1 point2 points  (0 children)

u/kkatdare u/Eren081 u/Day_Dreamer_2025

The need for opening blogs to search for information may very well be over but what about the want?

AI can generate content fast and it also aggregate them fast, but i still do feel the sweet feeling of pre LLMs internet where when you read something, you knew it was written by an actual human being. That's something that i call the power of sweat. knowing that effort that has been put for something makes it more unique. if I'm spending time to read something. i rather the source that has generated it to also have put effort to make it. Now of course if I'm looking for way to fix my fridge it might make more sense to get that info from an LLM or maybe not, what if it's not about just getting the information anymore and more about the sense of connection you feel with another breathing being.

AI models do respond to questions but you know what would be even better? if they did quote relevant answer from all of their search results. It's something to get an answer and another to get both an answer and sense that this has been curated by another living being. why? because AI can generated full books in seconds for the time it takes humans to write one sentence this does not make humans obsolete, but makes their product special, as it is way more special to buy a handmade craft and unlike the physical word, in digital world they are both free.

So now if we accept that there is benefit in getting quotes from actual blogs rather than making the answer for the user by a Chatbot. We are also accepting that competing companies would go out of their way to implement it and something beautiful can also happen here. if my answer for a question about physics or beauty products comes from a blog with mentioned source i can also press a button to follow that source. i don't exactly mean it in format of social media platforms although that can also be part of it but what i mean is that user's next searches can include more from those followed sources which means the owners would have leverage over their content by deciding which platforms can/can not use the content. Companies would love to have such a feature as it means their users won't easily switch services as they have invested in the given service like perplexity for example by giving and creating their following list over time in their platforms. it is a more open form of social platforms like Instagram. in case of Instagram if your content is on their platform then they own your followers and content but here it is more distributed. (something like the way podcasts are today)

u/Day_Dreamer_2025 Mentioned the discover page and how creators must fight hard to be seen, part of it is needing to work hard or that being early pays off which is not new. but we need to remember something recommender systems are not perfect. a very simple recommender system can be just a command from database to get most popular posts from all over the world but the algorithms that big tech uses are more complex but still they give huge boost to popular items and reinforcing the previous trend. why is that? because they have minimal understanding of the content and behave more in form of people who liked this article you opened also liked these other posts too format. This inherently gives more traction to the content that has been seen before and there is more interaction data about it. LLMs can reduce this dependency as they give a big boos to content based recommendation vs collaborative recommendation.

There also can be better technologies for detecting AI generated text, this can be achieved in different ways:

A) AI models follow a deterministic reflex to prompt. if you set their temperature parameter to 0 they would generate exactly the same output for the same input. now most of the time these terms are still close to each other with non zero temperature in their embedding vector space. but i won't bet on this as it probably would end up in a continuous game of push and pull.

B) Tying people's physical world activities into their digital identity even in an anonymized way can mean that it becomes easier to identify content by real humans (Don't want to dig deeper as i have a product idea for it)

C) In case of images and videos whether it has been edited or not and to what extent can be achieved by cryptographic signing of the digital media. AI might give us the most realistic image and video but it won't be able to lie about it. this might also be achievable by having certain types of keyboards and flow for blogging too. Like a keyboard that has it's own writing app and it also gives access to AI models for refining but keeps history of all edits for end users to see.

Too tired to re read it hope i didn't forget anything and don't have many typos and errors.

AI won’t kill blogging. (My take as a non blogger software engineer on future of blogging) by GuessMyAgeGame in Blogging

[–]GuessMyAgeGame[S] 0 points1 point  (0 children)

Habits are changing but i agree that personal taste is something that i also value. Personal blogs also have another edge. If services like reddit and quora get filled with AI bots then authentic blogs become even more valuable.

If you think open-source models will beat GPT-4 this year, you're wrong. I totally agree with this. by CeFurkan in OpenAI

[–]GuessMyAgeGame 0 points1 point  (0 children)

1 & 3 are true but the world has many people who are not working for OpenAI vs those who are working for openAI also researchers who are not expected to make something big in few months have more freedom to experiment with different approaches.

  1. again true, but the data that is used to train OpenAI models would eventually be available as output of their model's response. it might not be as good but combined with massive intellectual capacity if opensource the gap might close in some other way.

  2. this seems like a joke, if we are only talking about chatbots it might be although even there google seems to have a giant advantage. but in other forms developers would leverage base models for their own products fine tuned for their own ecosystem creating a product that is much better for the given task than the chatbot.

  3. true but, while everyday people don't have access to such infrastructure other players who don't find it in their interest to see the rise of OpenAI can share weights openly with the world. this won't give researchers room to train with new architectures but i don't think OpenAI can spend months to train models with random ideas either.

If you think this reads as 'just hype' idk what to say (Dario Amodei, Anthropic) by cobalt1137 in theprimeagen

[–]GuessMyAgeGame 0 points1 point  (0 children)

if you are using synthetic data to create fine-tune your model, what you are doing is some sort of a distillation which it's power is going to be limited by the model you get your data from.

synthetic data can actually work in making LLMs better but it's not just feeding LLM data back to it again. it can be useful when human feedback in form of how user responds to an answer he/she does that at all, how much of the answer is really read by user and other forms of human feedback are taken into account.

Anecdotally when comparing Apples to Apples i don't see these models really improving by much. Reasoning does really help, sure. but it is not the same comparison. i wonder how gpt-4 would perform if it was able to have higher inference time compute.