It already exists, but the sands of time Metroidvania “Lost Crowns” was surprisingly good.

Thats fair, it’s a bit nerve racking (especially right now with everything going on). If you’ve got a good interest rate on the account then you’re at least not loosing too much value, but the main reason to invest is that money looses value over time (due to things like inflation).

Not a fiduciary or anything like that, but double check your at least getting at least 3% on your savings accounts, otherwise you’re basically throwing money away.

So what do you invest in then? It feels really hard to find any opportunities outside of the stock market.

I think the core takeaway is your shouldn’t outsource core capabilities. If the code is that critical to your bottomline, pay for quality (which usually means no contractors - local or not).

If you outsource to other developers or AI it means most likely they will care less and/or someone else can just as easily come along and do it too.

Maybe below what investors or OpenAI thinks, but I think I’d take it. Unless they’ve got more secrets up their sleeve I don’t seem them ever being worth that much.

You’re absolutely right a out data formatting being an issue and something that really does cause vendor lockin.

I would just think content creators would still want archive/backup of the final products (the video itself). For example could you imagine if a movie just disappeared because Adobe or someone shutdown.

I’m not sure what the OC is talking about, a number of these are classics (or at least known for one reason or another - Pluto Nash).

Longer!=Detailed

Generally what they’re calling out is that DeepSeek currently rambles more. With LLMs the challenge is how to get the right answer most sussinctly because each extra word is a lot of time/money.

That being said, I suspect that really it’s all roughly the same. We’ve been seeing this back and forth with LLMs for a while and DeepSeek, while using a different approach, doesn’t really break the mold.

I think most of the tools have a way to download content, the issue is no one does or has a system for their backups. Which is the risk with the cloud, you’re putting all your eggs in someone elses basket.

This was actually something I found interesting with the brief TikTok shutdown in the US. A lot of creators only had their content in the editing software owned by TikTok or the app itself, meaning they lost access to all of their content.

The biggest risk of cloud only setups is you don’t own it.

I commented further up, but will add here. I also have a Go 1 and Ubuntu worked okay. Webcam was definitely a no go, but it ran well enough for some productivity and light gaming.

Only thing I really hate is hibernate doesn’t really work on Linux. For a tablet, maybe you always keep yours on, but I liked hibernate to help keep the battery going longer.

Commenting to add here, this is not going to be about distro choice as much as seeing what configuration on the Linux-surface guide provides greatest support.

There are many things that may not work on your surface due to support, so definitely follow those guides.

Spent hours trying to get the Webcam to work on Surface Go 1.

The asynchronous games were a lot of fun. https://www.mariowiki.com/Nintendo_Land had a couple of them, like one where everyone is in first person mode chasing the tablet player who has a top down view.

I mean using proprietary data has been an issue with models as long as I’ve worked in the space. It’s always been a mixture of open weights, open data, open architecture.

I admit that it became more obvious when images/videos/audio became more accessible, but from things like facial recognition to pose estimation have all used proprietary datasets to build the models.

So this isn’t a new issue, and from my perspective not an issue at all. We just need to acknowledge that not all elements of a model may be open.

I mean, you can have open source weights, training data, and code/model architecture. If you’ve done all three it’s an open model, otherwise you state open “component”. Seems pretty straightforward to me.

True but if I own the .exe or physical disk, it’s going to be a lot harder to stop me playing the game than if I’m accessing it through a platform.

Yeah, that’s the point I and the person above were stating.

UK went through industrialization leading to its empire, and the US was the industrial power during its ascent. Same thing with Japan before WWII.

Many imoeralistic powers seem to go through big industrial growth before expansion.

I’m not sure how good a source it is, but Wikipedia says it was multimodal and came out about two years ago - https://en.m.wikipedia.org/wiki/GPT-4. That being said.

The comparisons though are comparing the LLM benchmarks against gpt4o, so maybe a valid arguement for the LLM capabilites.

However, I think a lot of the more recent models are pursing architectures with the ability to act on their own like Claude’s computer use - https://docs.anthropic.com/en/docs/build-with-claude/computer-use, which DeepSeek R1 is not attempting.

Edit: and I think the real money will be in the more complex models focused on workflows automation.

My main point is that gpt4o and other models it’s being compared to are multimodal, R1 is only a LLM from what I can find.

Something trained on audio/pictures/videos/text is probably going to cost more than just text.

But maybe I’m missing something.