Seems like a great idea for an Immich plugin. I'm really not convinced I or anyone I know would _pay_ for AI to guess the date a photo was taken though.
But very expensive compared to Deepseek v4 Pro, which performs similarly.
Grok is stuck in a difficult place - not the best model at anything, and not the cheapest either. It's hard to make a case for using it on any dimension, even before you factor in the history (I'm not sure suggesting the company uses the model that refers to itself as "MechaHitler" is the way to a promotion).
Yep, I'm in full agreement. When extending functionality of some already existing code it also generally makes sense to write tests first.
I think the value is much lower (maybe even negative) when you're still trying to work out what shape the code will take, in an initial implementation.
Of course, as others have pointed out, nuanced opinion doesn't get clicks or YouTube views.
Sure. If his take was "100% unit test coverage is a waste of time" I think that's not unreasonable. You could make a case that the "you must write tests before you write code, every single time!" stuff is needlessly dogmatic. I also think that sometimes people focus too much on unit tests to the detriment of end to end tests that better model actual system interactions.
None of these were Theo's take. He was pushing the idea that unit tests in general were a waste of time because you could be shipping new features instead.
https://www.youtube.com/watch?v=pvBHyip4peo for an example of this. The nicest possible interpretation on this is that he's deliberately saying something he knows is wrong to attract attention.
I feel like listening to Theo about anything technical is like consulting a Labrador retriever for advice on quantum physics.
Every time I've ever seen one of his videos it's pretty clear he has very little understanding of development or engineering. I first became aware of him from his early "unit tests are a waste of time" stuff, and it seems his skillset is building a personal brand. Fair play, he's clearly talented at that, but that doesn't make his opinion on anything else worthwhile.
Agreed. I often take a look at the skills and maybe take something from there to create a more minimal version that does just enough for my needs and nothing more. YAGNI is definitely the principle to be followed here.
I'm sure all these people on Reddit that talk about having 5 Claude Max 20x plans and hitting the weekly limits on them all have a ton of these loaded.
I don't see how you can make a case for a $700bn+ IPO when the government might not even let you sell your product. America is ceding the lead in the AI race. The winners here will be the Chinese AI companies.
If the Chinese models remain predominantly open source then it would probably be for the best. Unfortunately I'm not convinced they will, with examples like Qwen Max showing what could happen.
Practically, what this boils down to is having clear success criteria.
The harness (Claude Codex, Codex, Pi etc) keeps throwing things into the context and executing tools (as directed by the model) until the success criteria is satisfied.
The "rules" of using AI successfully are basically just the rules of any successful development team. Break things down into clearly defined chunks, make the success criteria clear and provide a way to get the right feedback on how the system is running (logs, metrics, traces etc).
They're behind, but they're catching up pretty quickly. I wouldn't bet against Chinese companies dominating this market in the medium to long term.
Nvidia could easily end up being the Tesla vs Huawei as BYD.
I think the next step is for China to start selling Huawei (and other) GPUs around the world, because everyone appreciates the risk of giving either of the two superpowers their data. The US is no longer in a position to pressure other countries to bad imports from Chinese companies.
This is the beginning end of the hyperscaler era, not a shift from US hyperscalers to Chinese hyperscalers. Taking Nvidia's extremely lucrative market is the goal.
A text based interface is perfect for interacting with a large language model, and it seems unsurprising to me that it's the most popular way to work with them.
Frankly, the idea of having to decipher what a picture is supposed to represent to use a skill fills me with horror.
Yours is not an isolated case. There are multiple posts on Reddit from the last few weeks where bedrock quotas were set to 0, even for accounts that were actively using bedrock.
I've only seen it in accounts that weren't actively using bedrock, which is annoying but not business ending.
AWS needs to get on top of this sort of thing before people lose confidence in their platform, but I fear they may have lost too many staff to be able to get it the attention it needs.