czhu12

5 hari yang laludiscuss

Its remarkable how Anthropic is able to maintain their edge against all competition. Anyone have any idea what the secret sauce is that has Anthropic at the top of all leaderboards for the past few years?

czhu12

28 hari yang laludiscuss

I built canine.sh for exactly that reason, gives you a sensible deployment platform on top of k8s with one install, and you can customize it once you outgrow it.

czhu12

29 hari yang laludiscuss

Been working on an open source, free, Heroku alternative at https://canine.sh for about two years.

I feel like even after all these years we’re still missing the devex that Heroku provided.

Canine basically wraps a Kubernetes cluster -- gives you a heroku like interface to deploy applications to. At some point, if you get big enough that canine is no longer powerful enough, you can just "eject" canine from kubernetes, and continue using kubernetes directly, without having to do any migrations.

Just passed about 2000 developers, at this point most of my work is resolving bug fixes, adding helper text everywhere to make things cleaner, and supporting setups I've never encountered like homelabs with changing IP's

czhu12

bulan laludiscuss

Code generation isn't big enough of a market?

czhu12

bulan laludiscuss

Built this little tool for editing audio with text https://edit-with-text.oncanine.run/

(Transcribes the audio, marks the timestamps, so you can delete a word in the transcript, and it’ll crop out that segment in the audio)

czhu12

bulan laludiscuss

It seems the general consensus on HN is that they are overvalued and for sure will collapse in value down the road, I could imagine some frustration down the road if these companies actually become, say, 4T by the time they get added to indices.

czhu12

bulan laludiscuss

This does seem sensible and I’m glad most of my holdings are in s&p funds.

Just to play devils advocate though, what are the downsides of not having 3 of the biggest 10 in the world not in your fund, if you hold to track broad market performance? Wouldn’t that have a massive blind spot on AI related growth?

Whether or not I personally think ai is over hyped or not, the whole point of these ETFs is to make sure I don’t get a say in the matter, since I’m a terrible stock picker

czhu12

bulan laludiscuss

I feel like what I really want is a phone that can do this. I've been trying to figure out a reasonable workflow with a tiny mouse, an expandable keyboard, and a phone with termius (SSH Client) + a remote devserver. It's so close, the only issue is the screen is a tad bit too small to get anything real done other than ad hoc vibe coding.

czhu12

bulan laludiscuss

This article describes a vicious cycle:

Layoff of workers -> Workers stop spending -> businesses suffer

This is not a foregone conclusion. Laid off workers could find other jobs, with higher incomes, due to productivity increases from AI.

This narrative falls into the trap of zero sum thinking, taken at the limit, you can advocate for jobs programs and helicopter money where people get paid to do nothing to keep the economy humming.

czhu12

2 bulan yang laludiscuss

it’s very confusing why uber makes so little profit given hire big their cut of every ride seemingly is.

czhu12

2 bulan yang laludiscuss

We've been building canine.sh free and open source for an enterprise ready deployment platform.

Think about it like coolify is to a VPS as Canine is to Kubernetes.

czhu12

2 bulan yang laludiscuss

The Japanese economy is also famous for a macro economic stagnation for almost 40 years, a mild deflationary spiral, and companies hoarding cash on balance sheets rather than return it or invest it.

There are definitely world class companies in Japan, but also broad systemic problems with incentives

czhu12

2 bulan yang laludiscuss

Anthropic said they’ll be profitable by q2 of this year.

https://www.ft.com/content/a67248e7-f819-4dba-b0f7-3847df0a7...

czhu12

2 bulan yang laludiscuss

I really respected Ed Zitron, but I feel like he's very much lost the plot on AI.

Scroll back not too far and he was publishing criticisms that no one wants to spend actual money AI. Anthropic has shattered all notions of that since then.

Then there was the idea that even if people want it, we have way too much GPU capacity to ever be saturated. Now almost all providers are hitting limits.

Now, its the next iteration that even if people want to spend money and GPU's are at capacity, its just never going to be profitable. This may or may not be true, especially with more capable open source models that can be served at cost. But at this point, he mostly just brings up anything possible to downplay AI

czhu12

2 bulan yang laludiscuss

the problem is that its so challenging to figure out what the person actually has access to. Have they ever done a export with sensitive information, that is now sitting on their local machine? Any important clients they still are in contact with over email that they may try to sabotage? Any other creative endeavors you haven't thought through?

The most fool proof way is just to nuke the computer in its entirety.

czhu12

2 bulan yang laludiscuss

I found the exact same when I started vibe coding new features in https://github.com/CanineHQ/canine

Claude is super good as making it seem like it’s an expert in kubernetes, but then undercovering certain decisions, it’s basically optimizing to try to make things look like they work.

An example is, i wanted to develop a feature to easily fork a managed Postgres database with a k8s cluster. The thing it did was to copy the entirety of the source db to localhost, then copy it back out to the cluster, rather than just running the job within the cluster.

Now I’m pretty stressed after a 1 hour vibe coding session, having to now review and digest and think through the code that it wrote. Implementations like that scare me — if I accidentally missed it and merged it — since there are real people who rely on canine.

I wouldn’t go as far as to say I’m writing everything by hand, but I now always map out how I would do something before asking ai to approach it

czhu12

2 bulan yang laludiscuss

Isn't the long term trend just that we don't need as many engineers, not that there will no more software engineers?

Theres another, different loop I keep seeing which is:

  - Company A lays off engineers citing AI efficiencies
  - People say its because of over hiring during 2020
  - Company B lays off engineers citing AI efficiencies
  - People say its because it was never a good business
  - Company C lays off engineers citing AI efficiencies
  - People say its because theres a recession

I guess to cite a counter example, unemployment is still super low, software jobs are still holding up, but the bear case is that eventually 5% of people will be able to do what people do today, and the demand for software won't grow at the same pace.

czhu12

2 bulan yang laludiscuss

Been working on an open source, free, Heroku alternative at https://canine.sh for about two years.

I feel like even after all these years we’re still missing the devex that Heroku provided.

It’s been super fun to experiment & integrate MCP into it.

We just passed 2000 developers last month actively deploying with canine.

czhu12

3 bulan yang laludiscuss

I don’t necessarily disagree but to provide some counter points:

1. Model providers are currently profitable when just counting the cost to serve tokens for inference[1]. They lose money training the next generation of models.

2. Open models don’t work nearly as well. Given that tokens are still relatively cheap, and hallucinations are expensive, I’ve not seen a huge up tick in open model usage for coding agents yet.

3. On the AI economy front, I really have no idea, but AI companies (meta, msft) have already come down in value. It seems investors are at least a little wary of AI over valuation. Of course, the stock market is not the economy, but it’s not clear where warning signs would be. Earnings are healthy.

1: https://martinalderson.com/posts/no-it-doesnt-cost-anthropic...

2: https://www.economist.com/finance-and-economics/2026/04/20/a...

czhu12

3 bulan yang laludiscuss

This movement reminds me of the "protecting democracy" message that was run on the national stage that pailed against the backdrop of rising inflation.

Privacy is important just as democracy is important, but crime and lawlessness feel more immediate and will always take center stage.

Any message to try to address the spread of flock and flock-like business models have to address what replaces it. If the only choice people are given is either having flock, or car break-ins, then I think we can probably guess what people would choose.

SFPD at least, has credited flock and flock-like tech for why property crime has dropped so much in recent years.

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