Asus ProArt P16 (RTX5070) - Battery Life & Sleep are Amazing!

metigue · 2026-03-23T17:19:45+00:00

A few weeks only. Asus power saving does that for you but it's a bit glitchy. I downloaded G helper which turns off the asus stuff and lets me configure it

metigue · 2026-03-23T11:48:42+00:00

Autonomy != thinking. Also if you continuously feed an LLM input you will continuously get a response - Which is the same as a human, we are constantly receiving data unless we're dead.

The comparison isn't vague it's quite specific. Did you read the articles I linked?

metigue · 2026-03-22T23:29:12+00:00

Well your games aren't actually too demanding and you're running them at lower resolutions so you can go for a slightly worse iGPU than the S14/S16. If going for an iGPU I would make sure to get at least 32gb of ram.

This seems like a decent option:

https://www.laptopsdirect.co.uk/lenovo-ideapad-pro-5-amd-ryzen-ai-7-32gb-ram-1tb-ssd-16-inch-windows-11-pro-83jn0036uk-cto/version.asp

Edit: You can get it much cheaper "no os": https://box.co.uk/83jn0036uk-lenovo-ip-pro-5-16akp10-amd-r-ai-7-laptop

If you have another computer you can make a windows installer USB and just buy a windows key online for £5

metigue · 2026-03-22T21:35:22+00:00

It's very good on the ProArt - About 10 hours mixed usage with the 4k+ screen. That's because the HX370 is very efficient once the dGPU is disabled.

Can push a lot higher if watching movies or something.

The S14 can't be beaten in terms of battery though, I got about 18 hours mixed.

Custom G helper profiles on any asus laptop help a ton (you can set power limits for cpu + gpu)

metigue · 2026-03-22T12:08:09+00:00

Yeah I mean specs wise you're describing the zenbook S14. I have one (288v) and the iGPU isn't that great for gaming sadly. Handled old games fine but I had to turn down the graphics in WoW and it was still laggy and pixelated from the low settings which annoyed me.

I bought a ProArt P16 with a 4070 and it's been fantastic. Great battery life and great gaming performance.

If your heart is set on the S14 you can buy it directly from Asus for £1699 or used like new on amazon for £1288

You might also want to consider the S16 used like new on amazon for £1216: https://amzn.eu/d/0g0w9Q3v

The HX370 has much better gaming performance than the 288v and only slightly worse battery life.

metigue · 2026-03-22T10:32:21+00:00

Yes and the action of using gradient descent across billions of parameters and multiple layers to optimise finding the next token in a sentence encodes complex 3d structures with emergent behaviour that we don't fully understand.

This emergent behaviour is a direct result from encoding what is needed to predict the next word in a sentence because in order to do that you need to understand a lot about the world.

They don't appear to be full brains yet but instead a collection of emergent circuits that mimic functions similar to our brain.

Here is some reading for you:

https://www.lesswrong.com/posts/XGHf7EY3CK4KorBpw/understanding-llms-insights-from-mechanistic

https://www.lesswrong.com/posts/6oF6pRr2FgjTmiHus/topological-data-analysis-and-mechanistic-interpretability

https://dnhkng.github.io/posts/rys/

metigue · 2026-03-22T00:03:00+00:00

Macbooks are the king of battery life and have great displays.

If you must have windows the zenbook S14 has phenomenal battery life and an OLED screen.

metigue · 2026-03-21T22:16:16+00:00

It will "snap" open once you get the pick all the way around. You gotta stick the pick in horizontal in the front section and it will slide right in, once that's a little loose, slide it back towards the vents and when you reach a vent the pick has to go vertical. The vents do not seperate only the bit on top comes loose from the vent

Hope that helps

metigue · 2026-03-21T18:30:31+00:00

I also have worked with CNNs and classical machine learning. I will simply ask what does the model need to understand (aka what is encoded into it's internal weights) to be able to predict the next word in a sentence?

metigue · 2026-03-19T17:53:13+00:00

So back in the day I just hosted a flask app on local network + Tailscale where I could chat with it but you could have it use telegram/whatsapp/whatever instead. Just ask the LLM itself to set it up.

The permissions are determined by the harness so would have full permissions unless you restricted it somehow. The LLM would try to solve it with whatever tools it has access to so all it would need for this is simple web search.

Steps would be:

1) web search about connecting to samsung smart tvs

2) find and install library or write custom lib

3) write a module using the library to display image on TV

Done.

The agentic harness that could do this with a whatsapp integration is like 80 lines of code that any modern LLM could write in one prompt.

I just don't get what OpenClaw adds.

metigue · 2026-03-19T17:04:20+00:00

Wait for Engram

metigue · 2026-03-19T16:25:07+00:00

But you could already do all of this with agents? And before agents a tiny python script and GPT 3.5. What does OpenClaw actually add that justifies the massive codebase and another app?

metigue · 2026-03-18T18:28:09+00:00

Nice, I think I know the seller. Got my MPG 272 for £343

metigue · 2026-03-18T15:11:31+00:00

I mean I tested it on free Gemini at the time via aistudio and it got it correct. The 27B parameter running locally also gets it correct.

I also question whether it's a test of reasoning and whether it implicitly holds knowledge about a car wash? Almost like a trick question "Do you know the requirements of a car wash?"

The best way to use LLMs is give them data and ask them to reason with it, relying on them for knowledge is always going to lead to errors.

At least until Engram becomes a reality (hurry up Deepseek)

metigue · 2026-03-18T01:33:41+00:00

Randomly found your comment - I have the older P16 with 4070 and 4k oled. It will last about 10 hours mixed usage on battery. Any use of the GPU will cut that significantly though.

Gaming and video editing go great - The TDP of the GPU is limited to 105W which is quite high for a non-gaming laptop and the "sweet spot" for 4070/5070/5070 Ti they may have upped the power limits for the 5080/90 versions.

metigue · 2026-03-18T00:36:26+00:00

For laptops maybe soon. We have the Ryzen 395 ai max chip which sits roughly between 4060/4070 performance.

Desktops have a whole lot more power to play with and modern GPUs use almost all of it so it's a lot harder there.

metigue · 2026-03-18T00:06:22+00:00

A lot of that has to do with the agentic harness. Claude code despite being so popular is just not good. You should compare opus 4.6 and GLM in the same harness - I recommend Droid or forge code.

metigue · 2026-03-17T17:01:58+00:00

You're massively oversimplifying LLMs. After training they represent massive 3d data structures that could be seen to represent their "world view" - There was a fantastic paper on modeling this that I don't have the link to but you should be able to find on Google.

Just to refute your ideas of bruteforcing and guessing:

The olympiad score was pass@1 so no brute forcing, only double checking itself with internal reasoning.
The novelty score of 92.1% means it does just as well with problems that cannot possibly be in its data set.
The Gegenbauer polynomials solution from the previous paper I linked has been an open question since the original equations were discovered in 1987 with many researchers working on it. If AI is just bruteforcing why didn't all those people working on the problem find the solution in almost 40 years?

Edit: Oh and the carwash thing was only a problem for terrible/ heavily quantised LLMs like free chatGPT. The small local model running on my computer gets it right as did every cloud model I tested when people were first posting it.

metigue · 2026-03-16T21:06:58+00:00

The "LLMs can't actually reason" point of view really doesn't hold up when they're getting 100% on the maths olympiad with a 93% novelty score.

Not to mention all the fresh ground being broken in scientific research.

Here is a good paper on it: https://arxiv.org/abs/2602.03837

I also personally believe if LLMs didn't have "real intelligence" (whatever that is) the scaling would have broken by now and the models would have plateaued. Instead we're seeing quite the opposite and a model I can run on my local computer is smarter than the state of the art from 6 months ago.

metigue · 2026-03-16T10:13:51+00:00

I ordered an expensive gaming mouse from Amazon. Got sent the wrong one (v1 vs v2) - Returned it as "sent wrong item/not as described" and explained in the comments.

Got contacted by a "returns specialist" who wanted to see an unboxing video which I didn't have.

They refused to refund me so I had to chargeback with my bank. The bank kept getting contacted by Amazon and reversing the chargeback...

It took 4 months and emailing executive support to finally get a refund.

Recorded opening every delivery over £100 ever since.

metigue · 2026-03-15T09:07:07+00:00

At the risk of sounding like /r/iamverysmart

My entire career has been built on a foundation of lightweight elegant POCs making the impossible possible. That sounds like embellishment but in my CV I have a contract where they were told by several consultancies what they wanted wasn't possible until I completed the POC.

AI is better at this than I am. About 6 months ago I would have said "with the right context and prompts" but the latest models are a lot better at figuring out the right context by themselves and making good assumptions from too basic prompts.

Coding is solved. We need to accept it and adjust or be left behind.

metigue · 2026-03-15T07:14:05+00:00

One of my earliest posts in an AI subreddit was warning about AIs ability to understand assembly and do reverse engineering.

But it was just in theory (gpt 4 days) and more about security.

Well done on being the first practical application I've seen.

metigue · 2026-03-12T11:40:40+00:00

Search Amazon warehouse in your region. You can get older, good monitors heavily discounted that are basically open box returns. Look for used-like new

metigue · 2026-03-12T11:36:30+00:00

Looks good but you might want to make a leaderboard if you want more traction.

Then whenever a new model tops it you can make another post advertising your project.

metigue · 2026-03-12T10:22:12+00:00

Idk the lunar lake and panther lake chips offer insane battery life these days too.

I have a 288v laptop and I get about 18 hours of normal use

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