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dickersnoodle commented on Another GitHub outage in the same day   githubstatus.com/incident... · Posted by u/Nezteb
cebert · a month ago
Can you guys stop adding new features for a while please and just make what’s there more reliable?
dickersnoodle · a month ago
Every developer has had this fight with management and most lose.
dickersnoodle commented on OpenClaw is changing my life   reorx.com/blog/openclaw-i... · Posted by u/novoreorx
alpineman · a month ago
You’re right, but on the other hand once you have a basic understanding security, architecture, etc you can prompt around these issues. You need a couple of years of experience but that’s far less then the 10-15 years of experience you needed in the past.

If you spend a couple of years with an LLM really watching and understanding what it’s doing and learning from mistakes, then you can get up the ladder very quickly.

dickersnoodle · a month ago
This is the funniest thing I've read all week.
dickersnoodle commented on The AI boom is causing shortages everywhere else   washingtonpost.com/techno... · Posted by u/1vuio0pswjnm7
mike_hearn · a month ago
AI, obviously! A bubble doesn't mean demand vanishes overnight. There is - at current price points - much more demand than supply. That means the market can tolerate price hikes whilst keeping the accelerators busy. It seems likely that we're still just at the start of AI demand as most companies are still finding their feet with it, lots of devs still aren't using it at all, lots of business workflows that could be automated with it aren't and so on. So there is scope for raising prices a lot as the high value use cases float to the top, maybe even auctioning tokens.

Let's say tomorrow OpenAI and Anthropic have a huge down round, or whatever event people think would mark the end of the bubble. That doesn't mean suddenly nobody is using AI. It means they have to rapidly reduce burn e.g. not doing new model versions, laying off staff and reducing the comp of those that remain, hiking prices a lot, getting more serious about ads and other monetized features. They will still be selling plenty of inferencing.

In practice the action is mostly taking place out of public markets. We won't necessarily know what's happening at the most exposed companies until it's in the rear view mirror. Bubbles are a public markets phenomenon. See how "ride sharing"/taxi apps played out. Market dumping for long periods to buy market share, followed by a relatively easy transition to annual profitability without ever going public. Some investors probably got wiped along the way but we don't know who exactly or by how much.

Most likely outcome: AI bubble will deflate steadily rather than suddenly burst. Resources are diverted from training to inferencing, new features slow down, new models are weaker and more expensive than new models and the old models are turned off anyway. That sort of thing. People will call it enshittification but it'll really just be the end of aggressive dumping.

dickersnoodle · a month ago
"much more demand than supply"? Demand from who?
dickersnoodle commented on The AI boom is causing shortages everywhere else   washingtonpost.com/techno... · Posted by u/1vuio0pswjnm7
onion2k · a month ago
Nvidia invests $100bn in OpenAI, who buy $100bn of Nvidia chips, who invest the $100bn revenue in OpenAI, who buy $100bn in Nvidia chips, and round it goes. That's an easy $600bn increase in tech industry revenue right there.
dickersnoodle · a month ago
Someone in management read and misunderstood "The Velocity of Money" (https://en.wikipedia.org/wiki/Velocity_of_money)?
dickersnoodle commented on How to effectively write quality code with AI   heidenstedt.org/posts/202... · Posted by u/i5heu
agumonkey · a month ago
I second this. This* is the matter against which we form understanding. This here is the work at hand, our own notes, discussions we have with people, the silent walk where our brain kinda process errors and ideas .. it's always been like this since i was a kid, playing with construction toys. I never ever wanted somebody to play while I wait to evaluate if it fits my desires. Desires that often come from playing.

Outsourcing this to an LLM is similar to an airplane stall .. I just dip mentally. The stress goes away too, since I assume the LLM will get rid of the "problem" but I have no more incentives to think, create, solve anything.

Still blows my mind how different people approach some fields. I see people at work who are drooling about being able to have code made for them .. but I'm not in that group.

dickersnoodle · a month ago
>I see people at work who are drooling about being able to have code made for them .. but I'm not in that group.

+100 for this.

dickersnoodle commented on Swift on Android: Full Native App Development Now Possible   docs.swifdroid.com/app/... · Posted by u/mihael
akmarinov · 2 months ago
He might be referring to Apple abandoning SwiftUI as there’s a rumor going around about it.
dickersnoodle · 2 months ago
Rumors are worth exactly what you pay for them.
dickersnoodle commented on CEO of health care software company sentenced for $1B fraud conspiracy   justice.gov/opa/pr/ceo-he... · Posted by u/healsdata
dickersnoodle · 2 months ago
Good. Now do (Florida Senator) Rick Scott.
dickersnoodle commented on Apple's slow AI pace becomes a strength as market grows weary of spending   finance.yahoo.com/news/ap... · Posted by u/bgwalter
bigyabai · 3 months ago
That will look just great alongside the other monopoly abuse evidence.
dickersnoodle · 3 months ago
"Monopoly abuse"? Apple Pay was a huge leap forward in preventing credit card info theft, to the point that I only buy gas at stations that use Apple Pay to avoid having my bank account emptied by someone running a pump skimmer.
dickersnoodle commented on Apple's slow AI pace becomes a strength as market grows weary of spending   finance.yahoo.com/news/ap... · Posted by u/bgwalter
bredren · 3 months ago
FWIW, AI is not entirely locked down in the Apple ecosystem. Sure, they control it but they've already built the foundation of a major opportunity for developers.

There's an on device LLM that is packaged in iOS, iPadOS and macOS 26 (Tahoe) [1]. They even have a HIG on use of generative AI [2]

Something like half of all macs are running macOS 26 [3] already, so this could be the most widely distributed on-device LLM on the planet.

I think people are sleeping on this, partly because the model is seen as under powered. But I think we can presume it won't always be so.

I've just posted a Show HN of app for macOS 26 I created that uses Apple's local LLM to summarize conversations you've had with Claude Code and Codex. [3]

I've been somewhat surprised at the quality and reliability of Apple's built-in LLM and have only been limited by the logic I've built around it.

I think Apple's packaging of an LLM in its core operating systems is actually a fast move with AI and even has potential to act as an existential threat to Windows.

[1] https://developer.apple.com/videos/play/wwdc2025/286/

[2] https://developer.apple.com/design/human-interface-guideline...

[3] https://news.ycombinator.com/item?id=46209081

dickersnoodle · 3 months ago
"existential threat to Windows" - from your lips to whoever's ear.
dickersnoodle commented on Apple's slow AI pace becomes a strength as market grows weary of spending   finance.yahoo.com/news/ap... · Posted by u/bgwalter
crazygringo · 3 months ago
Gemini can know everything in my Google account, which is basically synonymous with everything that's on my phone, except for text messages. And I use an iPhone. And then Gemini will work just as well on the web when I use my laptop.

So I don't see what unique advantage this gives Apple. These days people's data lives mostly in the cloud. What's on their phone is just a local cache.

dickersnoodle · 3 months ago
>Gemini can know everything in my Google account

Sorry, this just made shivers run up my back.

u/dickersnoodle

KarmaCake day244June 20, 2022View Original