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tabs_or_spaces

587 karma · joined April 19, 2018

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tabs_or_spaces··on Everyone should slow down AI development except for me
This is about consolidation of power.

Open weight models are catching up to the frontier. It also seems like frontier models reached some limit, whether this is capex related, business model related or something else. Nobody knows but it's happening to all frontier labs it seems.

It's been fear mongered many times that ai will kill us all. But this time, a person with around 2-3 months of tenure at anthropic managed to go viral with no previous social media account activity, gets picked up by all news outlets and kicks off yet another round of fear mongering.

So the real questions to ask

* is all of this to increase the valuations before IPO?

* what is the real barrier to entry for open weight models to be used by the public?

* what is the Financials of these companies showing that's causing this outcry on safety?

People need to think really critically about the things happening around them. Don't only just look at the face value of what's being presented here.

tabs_or_spaces··on Gemini 3.8 Flash and 3.8 Flash Cyber
It's really disappointing to see social media dismissing gemini so easily.

I think the worst thing we can do is have loyalty towards models. I used to be loyal towards Claude, and my viewpoint changed dramatically when I used codex.

I highly recommend that if you are someone who only used one model so far, that you really give another model a shot and see how it goes. It's very eye opening and gives you a more holistic perspective.

Vendor locking is a big problem when it comes to models, and I hope the software world doesn't do this blindly.

tabs_or_spaces··on Uber shuts operations in Nigeria and Uganda with immediate effect
It feels like people are comparing Uber the brand in their own country and applying that to other countries

* People assume that Uber is a big brand in Nigeria and Uganda, this might not be true

* People assume that Uber is popular in these countries, this might also not be true

tabs_or_spaces··on Anthropic's best AI model struggles to attract users as cheaper tools thrive
I started using llm's on a $20 claude license, then it became a $100 license.

Then all the mythos warnings happened, then the fable access issues started.

At that point, I just wanted to try something else because I didn't want to feel vendor locked by anthropic.

Then I tried codex on the $100 plan. I've never been happier. It does everything claude can do, without any token limit issues or anything for me.

I don't see myself going back to claude anytime soon. I also highly recommend folks to not vendor lock yourself to a model. You need to try multiple models for yourself and see what's possible. There should be zero loyalty to any frontier lab because of how fast things change and how volatile model access, uptime and customer experience can be with these things.

tabs_or_spaces··on Reviews have become expensive, rewrites have become cheap
> LLMs aren’t lazy. They don’t cut corners because a simpler solution feels good enough. If they know how to solve something thoroughly, they will.

This is a severe misunderstanding in how LLMs work..

I don't know how this got on my front page....

tabs_or_spaces··on Statement on US government directive to suspend access to Fable 5 and Mythos 5
I'm more interested in the business impact of this

So you spend billions of dollars training the model, only for it to be used in the US.

Then interesting to see where most of anthropic revenue comes from. If it's the US then they're fine but if it's global then they'll see a drop in revenue?

Then add to this decision, companies are going to significantly reduce their token spend.

So what does all of this mean for their IPO?

tabs_or_spaces··on Claude Fable is relentlessly proactive
Super appreciate you replying to my comment.

I think I understand where you're coming from now. What confused me is that the post is written in a way that it seemed like what Fable was doing was actually better. Maybe I should've looked at post as an exploratory post on Fable instead.

tabs_or_spaces··on Claude Fable is relentlessly proactive
> How can a LLM be assigned an emotion as being "proactive"

I can't edit my post, this is wrong. "Proactive" is defined as a behaviour instead of an emotion.

Thanks to everyone pointing it out!

tabs_or_spaces··on Claude Fable is relentlessly proactive
How can a LLM be assigned an emotion as being "proactive". This is highly misleading to anyone that scans just the headlines.

What actually happened is that the user started a prompt, and Claude took $12 worth of tokens to resolve the issue. How it did so was basically looping until it got to the answer

How is this proactive? It's literally being token greedy and maximising revenue for the LLM owner. People really need to be putting on business hats at this stage, because we are being lead to believe that "more tokens = better". It is not, there are efficient ways to solve a problem and there are inefficient ways to do so too.

Each problem solved incurs a cost, and is expected to yield an ROI at some point. This is how we should be viewing things now.

tabs_or_spaces··on Is This the Dawn of the Tokenpocalypse?
For me it depends on who you listen to

If you're following a bunch of people who are from LLM labs, you're going to be more incentivised to tokenmaxx because it's in the Lab's best interest tonget you to behave that way.

Practically, many companies aren't labs with endless runway. Companies hopefully follow a PnL model. And when you look at things with that lens, many of the times the LLM use case falls apart.

You're seeing a bunch of companies starting to realise that tokenmaxing yields very little ROI.

Even the LLM labs, the guy that spent $1+mil tokens has nothing to show for it in terms of revenue to the company. And you have to keep sinking that much into AI for ... "features".

There are some good use cases for AI. I ended up with a positive ROI on a greenfield project myself, albeit on a small scale.

The way that AI has been making people have totally irrational decisions on executive, pure business and technical standpoints is simply mindblowing. I don't understand how people can't take a step back and see what's actually happening from a macro perspective.

tabs_or_spaces··on Robinhood now lets your AI agents trade stocks
it's a net positive for robinhood, not the trader necessarily
tabs_or_spaces··on I think Anthropic and OpenAI have found product-market fit
Product market fit and profitability are two different things.

Arguably product market fit was fond last November already. I don't think agents were the turning point that caused this.

Profitability, not yet. For me, it depends on whether companies are seeing a positive ROI from their ai investments. This website is skewed more towards big tech companies, but everyone that's not big tech needs to see positive ROI with using ai tools. Short term might see a profit, but medium to long term we still need to wait a bit.

tabs_or_spaces··on Prepare for an AI Jobs Apocalypse
So the article doesn't mention how the individual should prepare, but rather that government should prepare. Are individuals just that powerless against these perceived outcomes with AI?

My opinion is that AI can be a force for good, but why is everything so aggressively framed as a class war? Why must such a path be taken?

I wonder if this is how things were during the industrial revolution as well

tabs_or_spaces··on Rewrite Bun in Rust has been merged
Why would you replace an existing codebase like this instead of forking the repo instead and then making the changes?
tabs_or_spaces··on Zuckerberg 'Personally Authorized and Encouraged' Meta's Copyright Infringement
Why is there only a fine and not also the seizure/forfeiture of the stolen property and the derivative works/products built on it?

Like the fine means nothing to meta, and they'll still be the beneficiaries of their infringement.

In this current state, you really just need to have enough money to bypass this lawsuit and be on your way.

tabs_or_spaces··on Claude Code refuses requests or charges extra if your commits mention "OpenClaw"
There's probably a few things to consider

* How much CPU/token usage does openclaw users use in general? Similarly, how much does high volume openclaw users use vs "normal" claude high volume users?

* Are there political elements we can't see that's affecting this? OpenClaw and anthropic doesn't have a good history in general and this is just a continuation of that?

Something I don't understand, there's a lot of complaints yet people are reluctant to stop using the service? Are folks already vendor locked or is it a case of "well, this doesn't seem to affect me?" The consumer behaviour of these complaints is very interesting.

tabs_or_spaces··on Ghostty is leaving GitHub
> When I went through tough breakups? I lost myself in open source... on GitHub. During college at 4 AM when everyone is passed out? Let me get one commit in. During my honeymoon while my wife is still asleep? Yeah, GitHub. It's where I've historically been happiest and wanted to be.

I've never had such an obsession to a platform or an activity as this. Some might say this is unhealthy, but I admire folks who can reach this level of obsession in their craft. It's just a joy to read about for me

tabs_or_spaces··on An AI agent deleted our production database. The agent's confession is below
It looks like it's this person's fault?

* you can't blame ai if your production token is on the same machine as the staging/ development environment?

* you can't blame ai if you didn't know that the production api token gave access to all apis.

Like if this is the level of operational thinking going into this app, then I'm sorry no ai agent or platform can prevent this from happening.

Everything else in this "post mortem" is performative at best.

The only real question one could ask railway is why do they have api endpoints that can affect production available? Maybe these should only be performed on the platform itself instead?

tabs_or_spaces··on Code is run more than read (2023)
Once I wrote the perfect piece of software. It was so perfect that there was literally no bugs for months.

How could this have happened? Well, the code was shipped but no customer was running it in production.

tabs_or_spaces··on Ask HN: Learning resources for building AI agents?
I find HN to be a bad resource to ask for learning resources. I previously asked for help in learning how claude works but no responses.

Maybe one pointer for others is that people are genuinely curious about learning new things, but as experts we choose not to engage these types of posts, why is that?

OP, in your case you need to move from theory into actually building your own agent and make it do things. Start by solving small problems and then make them more complex over time.

tabs_or_spaces··on We rewrote JSONata with AI in a day, saved $500k/year
The headline seems to be flashy indeed, but ai didn't really solve this imo.

They just seemed to fix their technology choices and got the benefits.

There's existing golang versions of jsonata, so this could have been achieved with those libraries too in theory. There's nothing written about why the existing libraries aren't good enough and why a new one needed to be written. Usually you need to do some due diligence in this area, but no mentions of it in this post

In order to measure the real efficiency, gnata should've been benchmarked against the existing golang libraries. For all we know, the ai implementation is much slower.

The benchmarks in the blog are also weird. The measurement is done within the app, but you're meant to measure the calls within the library itself (e.g calling the js version in its isolated benchmark vs go version in its isolated benchmark). So you don't actually know what the actual performance of the ai written version is?

The only benefit, again, is that they fixed their existing bad technology choice, and based on what is observed, with a lesser bad technology choice. Then it's layered with clickbait marketing titles for others to read.

I'll probably need to expect more of these types of posts in the future.

tabs_or_spaces··on Goodbye to Sora
I think Sora was technically impressive as a concept. The way it was managed as a product wasn't good.

There didn't seem to be any marketing for it. Like I can't even remember an ad for it or any content creator type of person pushing Sora actively.

To get access to Sora I believe you needed to be on a paid plan?

It's really difficult to get user generated content going when it's behind a paywall.

It's also hard to tell if this means that openai is in trouble, or if this is just a badly managed product that deserved to be killed. With the negative sentiment on openai, folks might think the former.

tabs_or_spaces··on So where are all the AI apps?
I would add that getting customers, especially paid customers for your app is not easily solved with ai too.

Only a few get lucky with funding, only a few have a profitable business.

tabs_or_spaces··on StackOverflow's questions per day have fallen 99%
It's very interesting to see the opinions in the answers vs the off site opinions.

On the site itself, the opinion seems to be that stackoverflow is not dead and it's okay if there's reduced traffic and questions to the site.

Yet off site, the opinion is that stackoverflow is dead and added to that, the community isn't very friendly anymore.

It's just really interesting to see the perspectives between the two.

tabs_or_spaces··on Garry Tan's Claude Code Setup
> In the last 60 days I have written over 600,000 lines of production code — 35% tests — and I am doing 10,000 to 20,000 usable lines of code per day as a part-time part of my day while doing all my duties as CEO of YC.

LOC will never be a good metric of software engineering. Why do we keep accepting this?

I can generate 1 million LOC if I really wanted to.

As long as LOC is the main metric for these setups, they will never be successful.

tabs_or_spaces··on Nobody gets promoted for simplicity
I think the advice is good but maybe the title could be improved.

> But for Engineer A’s work, there’s almost nothing to say. “Implemented feature X.” Three words.

To me, this is the main problem. Engineer A is unable to describe the impact of their work, how the work affected the business. Your manager isn't responsible for promoting your own work, you are.

> Engineer B’s work practically writes itself into a promotion packet: “Designed and implemented a scalable event-driven architecture, introduced a reusable abstraction layer adopted by multiple teams, and built a configuration framework enabling future extensibility.” That practically screams Staff+.

Maybe it's just the narrow of the article, but if promotion only looks at complexity and not quality of delivery and impact on the business then this isn't a good engineering team to be in.

There are many cases where simplicity is celebrated and recognized. It's up to the engineer to know what the impact of their work is, if they can't do that then that's on them.

tabs_or_spaces··on Don't become an engineering manager
>If you are a senior engineer, the bottom line is that I wouldn’t recommend the jump to management right now. I would wait a couple of years to see how things will look like.

> BUT, and it’s a big but - if your gut tells you to do it (and not your brain), if it’s truly a path you want to pursue - then go for it!

It feels more like the purpose of this article was to get the sponsored segment out than to actually give useful advice. Like how is this the conclusion?

> For my friend specifically, staying on the IC track, becoming a Staff engineer and switching companies would have given him ~20-30% more than the EM promotion he was offered.

Company promotions do not give a higher salary bump than moving companies. The friend could be at a company that pays less for all roles. Additionally, that visualisation does a low-high representation and doesn't take outliers into account. Staff engineer roles tend to have outliers when it comes to salaries. EM roles do not

If anyone wants some advice from an engineering director

* If you only want to become an EM for the money, you probably won't like it. It's the same as an engineer that's only coding for the money. The more you like something, the more you would want to learn it

* The EM title means different things at different companies. Some companies are only/mostly about line management duties. In other companies, you're expected to do project + stakeholder management. In other companies, you're also expected to do operations, budgeting and technical + business strategy. As you can see, it's different to an IC who is building software and there's more of a focus on the things around building software.

* Being hands on is one thing. But what distinguishes one EM from another is engineer empathy. If you're an EM on the team and haven't did a PR (with or without ai), then you have zero empathy for your engineers because you have no idea what it takes to build a feature for your team. Using LLMs improves engineer empathy, but you need to learn it despite it.

* AI/LLMs will change two main things: the ability for an EM to be more hands on and the way EMs design team processes. Just like it changes engineer's ability to code, the EM needs to think holistically on how the development process will change and adapt accordingly. Do you have a path for the team to use AI agents? Do you have ways to reduce meetings and achieve the same level of alignment with LLMs? This is the type of thing EMs will/should be thinking about.

* The career path of an EM is largely dependent on the growth of a company. You will only get "stuck" if your company is not growing. If a company grows, there will be a need to hire engineers, then hire someone that manages those engineers and eventually someone that manages those managers.

* The other thing about EM careers. Advancement also depends on how well you are fitting into the business. For small companies, being more hands on as an EM is better. For larger companies, fitting in well with the company values, culture and leadership principles of the company is better.

I really don't appreciate the author's lack of understanding on how engineering leadership works and the general gatekeeping in this article. Sure AI is changing things, but there's really no need to steer people away and gatekeep roles like this role implies.

tabs_or_spaces··on Don't trust AI agents
> OpenClaw has nearly half a million lines of code, 53 config files, and over 70 dependencies. This breaks the basic premise of open source security. Chromium has 35+ million lines, but you trust Google’s review processes. Most open source projects work the other way: they stay small enough that many eyes can actually review them. Nobody has reviewed OpenClaw’s 400,000 lines. It was written in weeks with no proper review process.

Yeah, but the world rewarded this by making it the fastest growing github project. The author gets on the podcasts, gets the high profile jobs from big tech. I'm more encouraged to do things this way than being security minded about all this.

And there's no accountability to this at all. If an agent leaks private data, the user is to blame and not the author. If Google bans your services for using api keys incorrectly, we cast the bad eye towards Google and not the maintainer than enabled and approved it.

There's just so much incentive for for "not reading code" and not developing secure code that is just going to get worse over time. This is the hype and the type of engineering that we all allow either by agreeing or by staying silent.

I agree with the author, but the world works off a different set of principles than what we're used to. I just see the world blindly trusting agents more.

tabs_or_spaces··on OpenAI fires an employee for prediction market insider trading
Openai employees already get crazy salaries. What motivates someone to do this?

I would understand a low salaried person doing this, but not someone from a really high paying org

tabs_or_spaces··on I'm helping my dog vibe code games
This is pretty fun!

I'm interested in what will happen if you replay the prompts with different LLMs and the same LLM. I wonder how different the games will become?

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