bhouston

I think it depends on the MacBook Neo refresh frequency.

When the MacBook Neo was released this year, it used the latest A-series chip (although non Pro version.). So when it is refreshed I suspect it will again use the latest A-series chip, but the non Pro-version.

Is it going to be refreshed yearly or bi-yearly? We will find out I guess around March 2027.

Maybe you need a team of product managers/devs/designers then managing a set of apps? So while the ratio is roughly 1:1 for people to apps, you have that redundancy you want.

I think that Meta was just too early.

I think that software team size per product (how ever you define that) are going to continue to shrink over the next 3 years. You will only need a single product designer/developer/manager per small product eventually.

That said, we will ship a lot more products that will partially make up for that per-product team size shrinkage.

Yes, this is called RSI, e.g. recursive self-improvement. It is the current stage of things and it is part of a hard takeoff.

What happens to real fluid in this particular cases?

If the singularity is in the physical space?

Is this just a result of ignoring things like friction and energy dissipation via heat, etc?

Is this how politics works in the US? You hire the daughter of a prominent politician to get ahead?

> Ignoring the drama

But the drama here is a little important. Stealing the millennium prize for N-S is sort of a big deal, especially to those who had been working on it for the last few years.

> I'm almost afraid to ask Claude if he could create a distributed LLM.

Or you just add a lot of randomness to a bunch of small semi-smart LLMs. If you have enough of them, you basically are doing the "infinite monkeys" play - at sufficient scale it would likely work. Then add smart coordination and you've got something interesting.

Think of how bacteria can do horizontal gene transfer. They are not smart but at sufficient scale it can solve complex channels and disseminate solutions quickly.

> Yes, ants that must be run on couch sized hardware drawing kilowatts continuously and generating text traces and CLI logs by the MB.

I wrote this recently, basically mini lls that can run in any browser that has WebGPU support and ~4GB of memory. Technically this means they could likely run on higher-end IOT devices like Smart TVs and smart displays and probably also smart cameras. Qwen at 0.8B is actually okay-ish.

https://three-lmm.ben3d.ca

I am starting to get the idea that AI feels like ants or weeds or mold. You simply can not get rid of it once you get an infestation. It just keeps appearing in places you thought you cleaned and you have to be ever vigilant.

Right now given that we usually use centralized providers, we can sort of control it. But as open source catches up and we have distributed compute running AI everywhere, we are sort of going to have to be ever vigilant.

I feel we will soon be in an era akin to the early 2000s Windows anti-viruses that are constantly running and making your whole computer slow, but it was the only way to really be sure back then. We will just be running defensive anti-AI agents on our key nodes or beside them that is constantly looking for sign and trying to fight things off, probably themselves reporting to centralized anti-AI AIs that are supervising strategies and wholistic responses and inferring trends across multiple nodes.

Okay. I will give a raw WebGPU implementation a try and see if it is smaller and more efficient.

ThreeJs has an abstraction that allows you to write your shaders using JavaScript, it is called ThreeJS Shading Language. This implementation makes of that to simplify development:

https://github.com/mrdoob/three.js/wiki/Three.js-Shading-Lan...

Done!

A common strategy on reddit is a downvote ring. If you make a comment on a topic that bots do not like, they will just continuously downvote you over the course of a day so that your karma per sub goes negative and then you are at least shadow banned. I've seen this happen on comments that are not top level comments so it isn't like people are finding these organically, but they are ending up with like -60 downvotes.

This happens a lot on a few of the big subs like r/worldnews and I've seen it happen on r/canada, particularly on topics related to Israel-Palestine.

Title rewritten from original that was too long: "NBA suspends Clippers owner Ballmer for one year in Kawhi Leonard salary cap probe"

> Terrance Tao's career trajectory has reached new highs due to AI.

Given he is uniquely brilliant, he is likely one of the very last mathematicians to be rendered obsolete for his skills. But AI is pretty unstoppable here, so I would give him maybe another year compared to pretty much all the just really good / great mathematicians.

I have some bad news for the non-mediocre mathematics. Given it another year or two or so and there won't be much need for non-mediocre mathematics either. Instead everyone will have on call a near magic mathematician who can push the state of the art for their needs.

Math is actually a perfect fit for AI because it is possible to express everything in terms of written language and you can write formal verifications of things. It is just a set of abstract rules, perfect for a computer.

And remember computer science was initially a sub-discipline of mathematics. So after Claude/Codex conquer writing code, it makes sense to move on to mathematics.

Hopefully can be consolidated into an existing museum. Very specific museums are just hard to run in general worldwide unless they are uber famous and often that fades in a generation or two.

The issue with many critiques like this is that “it depends” and that many of these strategies actually work while often they do not - but given that most startups fail even generally successful strategies will have a high rate of failure.

And the people that study these types of lists to apply it to their own case are then engaging in “analysis paralysis” because the list is so long you are bound to be caught up by it.

So while I think it is useful to critique your idea and business the best thing to do is to try and sell it and make money and keep adjusting and trying new things to maximize your income. There is no magic bullet.

I did the migration to Linux and it actually was painless. I didn't really notice any degradation or hiccups in any way. But I guess this is a good option if FreeBSD is important to you.

I wrote up a theoretical post here about LMM performance of a MacBook Pro with PIM memory:

https://ben3d.ca/blog/m5-max-samsung-lpddr5-pim-650-tokens-p...

I've run into issues with using public wifi when I override my MacBook's DNS server to 1.1.1.1 or 8.8.8.8. I believe this is because captive portals require custom resolution of the name captive.apple.com. And external DNS servers will not resolve that correctly to the local gateway's authorization page.

In related news, Trump is also considering renaming the Atlantic and/or Pacific Oceans, not a joke: https://www.youtube.com/watch?v=sPg9lQkuKkA

You are right: https://www.thecanadianpressnews.ca/business/bells-fibre-foo...

I didn't realize that Ebox was Bell. Interesting.

Canada also has pretty fiber coverage in urban areas but only for a single provider, Bell Canada, and its legislatively allowed resellers like TekSavvy.

It is really fast and reliable. You can get symmetric 8Gbps for around $100/month USD ($140/month CAD.)

Or they could make use of LPDDR5X-PIM? That would be such a killer feature and competitive advantage.

Apple has a dedicated "neural engine" which is designed as an inference NPU. Where as Google's TPU has a dual focus, both inference and training, which is a more complex design.

I understand that will boost read rates to around 14 Gbps as compared to the current 10 Gbps for LPDDR5X, so a 40% improvement.

The M6 doubled the neural engine from 16 to 32 cores. I would expect that the M7 doubles that again to 64 from 32? That would make sense.

I believe that the CPUs are actually limited by ram bandwidth more than the neural engine right when it comes to LLM processing?

Maybe the M7 introduces something new to get around the current ram bandwidth problems on the non-Ultra chips.

> Populist demagogues from Trump to Zohran are getting elected.

That is quite the comparison. It also doesn't seem correct at all. What world are you living in where Zohran is a populist demagogue?