AnonHP

Tangential question: seeing a wider negative sentiment against Gemini and Google’s AI capabilities here makes me wonder — would Apple have been better off (purely on capability and being among the best of the best) going with Anthropic or OpenAI instead of Google for its Apple Intelligence platform?

These models have been changing so rapidly that I often find myself using two or more on the same topic but seeing one do better than another in different topics. There doesn’t seem to be a clear all-round winner, IMO, that I can stick with permanently.

I find that I rarely do one search. It’s usually a search, followed by looking at the first few links and probably opening them in tabs, then refining the search terms to get better results. It’s an iterative process. So the 10 per day on average would be exceeded quite quickly.

I too feel the yearly price of $108 for one person, $155 for two people and $216 for a family is expensive. Ok, maybe the family plan is cheaper if you can find five others to share it with.

Is Julia any good for general purpose (non-scientific) use? I guess it probably may not have as many libraries as Python. So what do the library and third party package coverage look like in comparison to languages like Python, Go, etc.?

A bit weird writing style, and I don’t know if this is Substack or the lack of proofreading.

It quotes a problematic statement and then after one or two paragraphs, it says this:

> But here is an important thing that many people forget:

> There is no better productivity hack than a great culture. No AI tools will provide bigger productivity gains.

> I’ve unfortunately seen and heard this sentence quite a few times, either directly or from an engineer or engineering leader who has reported that to me.

So the problematic sentence is the one that talks about a great culture being the biggest productivity hack? I had to scroll up again and see what it was referring to.

I like the graphical interface and the movement of the blocks. Brings back memories of defragmenting hard drives once a month and seeing noticeable performance improvements sometimes.

> Fragmentation and extent allocation were adding measurable variance, even on NVMe,

Why exactly would there be a measurable variance on NVMe? I understand there could be some impact on magnetic hard drives. This sounds like some sort of coincidence due to other factors and that this defragmentation won’t achieve much (except for wearing out your SSD even faster in certain cases).

My guess is that OpenAI now has a full blown Cursor equivalent in development (an expansion of Codex?) and will announce it in September. Otherwise it stands to lose those who are used to working with Cursor.

> two-finger-tap to feel the time discreetly

What is this “two-finger-tap to feel the time discreetly” and how does it work?

My experience is different. I like the chronological feeds and the lists I can create to group accounts.

I have a lurking account and follow some other accounts, but I’m not interested in “liking” or “reposting” any posts. I want to keep my usage and engagement as low as possible. The “For You” feed doesn’t work for this need because it relies on signals like liking content.

I agree that the Discover feed sucks (why does it show posts from people I’m following when there’s a dedicated tab for that?). But I’d rather have a better Discover feed than me having to do more work on the “For You” feed.

> Any call the agent makes to an external connector is reviewed by an LLM judge to prevent dangerous operations.

A few basic questions: how reliable is this judge since it’s based on an LLM? What additional measures can an admin or someone with more technical knowledge take to tighten this further if needed? Are the rules in or used by this judge visible to the users or an admin?

Someone please create something similar about AI slop and comments about AI slop in an article. That will be more 2026 HN. /s (partially)

GP here. You make some valid points, but I was talking about the pricing of the hosted service by Ente because Ente allows self hosting too. Of course, the investment to support self hosting and to provide the apps (for free to anyone, including the self hosting crowd) matter in pricing decisions. But it still seems quite high to me.

GP here. The initial comment did not say that it was the gross margin. Only a follow up reply to my comment asking about the price reduction did. So I assumed it was net margin.

If your margins are about 70%, do you have any plans to reduce your prices? Compared to other photo storage platforms, your pricing seems a lot higher. End to end encryption seems to be the only USP when a person looks at your hosted offering.

I’ve always felt that SQL is somewhat easy to grasp for basic queries, but gets complex and difficult for even moderate to higher complexity use cases. My eyes glaze over when I read long stored procedures that someone else has written. Any recommended resources to go from beginner/beginner-intermediate to advanced?