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There used to be a polite way to call this out, the "Steve Jobs's reality distortion field".
Now that every CEO has their own reality distortion field I wonder if it's even worth calling out any more.
Musk is probably closest, but he’s become so involved in partisan politics it makes his field far less effective at distorting reality.
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I read it the same way. I should've gotten way more RAM back when I got my M1 and RAM was still cheap although this was of course before the LLM boom so there was no way to really know.
I maxed my M1 out when I bought it because I was frustrated with the 16GB max in the previous machines. I use my machine for all sorts of things and some days you just don't feel like exiting apps to make space for new ones. I still don't have a strong urge to upgrade. I could probably get by on 32GB (like my work-issued machine is) but 64GB is the right amount of headroom for me.
I chased down what the "4x faster at AI tasks" was measuring: > Testing conducted by Apple in January 2026 using preproduction 13-inch and 15-inch MacBook Air systems with Apple M5, 10-core CPU, 10-core GPU, 32GB of unified memory, and 4TB SSD, and production 13-inch and 15-inch MacBook Air systems with Apple M4, 10-core CPU, 10-core GPU, 32GB of unified memory, and 2TB SSD. Time to first token measured with an 8K-to…
So it's not measuring output tokens/s, just how long it takes to start generating tokens. Seems we'll have to wait for independent benchmarks to get useful numbers.
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Yeah no it didn’t. If you have a fully speced out M3/4 MacBook with enough memory you’re running pretty decent models locally already. But no one is using local models anyway.
I run a local model on the daily. I have it making tickets when certain emails come in and made a small that I can click to approve ticket creation. It follows my instructions and has a nice chain of thought process trained. Local LLMs are starting to become very useful. Not OpenClaw crap.
I love the following section of their copy: > Even More Value for Upgraders > The new 14- and 16-inch MacBook Pro with M5 Pro and M5 Max mark a major leap for pro users. There’s never been a better time for customers to upgrade from a previous generation of MacBook Pro with Apple silicon or an Intel-based Mac. I read as "Whoops we made the M1 Macbook Pro too good, please upgrade!" I think I will get another 2-5 years…
Would it be worth upgrading from my M4 Pro 48GB to M5 Pro 64GB
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With OpenClaw and powerful local models like Kimi 2.5, these specs make a lot of sense.
K2.5 isn't remotely a local model
With some custom tooling, we built our own local enterprise setup:
Support ticketing system Custom chat support powered by our trained software-support model Resolved repository with detailed step-by-step instructions User-created reports and queries Natural language-driven report generation (my favorite — no more dragging filters into the builder; our (Secret) local model handles it for clients) In-application tools (C#/SQL/ASP.NET) to support users directly, since our software runs on-site and offline due to PPI A cool repair tool: import/export “support file packet patcher” that lets us push fixes live to all clients or target niche cases Qwen3 with LoRA fine-tuning is also incredible — we’re already seeing great results training our own models.
There’s a growing group pushing K2.5s to run on consumer PCs (with 32GB RAM + at least 9GB VRAM) — and it’s looking very promising. If this works, we’ll be retooling everything: our apps and in-house programs. Exciting times ahead!
I chased down what the "4x faster at AI tasks" was measuring: > Testing conducted by Apple in January 2026 using preproduction 13-inch and 15-inch MacBook Air systems with Apple M5, 10-core CPU, 10-core GPU, 32GB of unified memory, and 4TB SSD, and production 13-inch and 15-inch MacBook Air systems with Apple M4, 10-core CPU, 10-core GPU, 32GB of unified memory, and 2TB SSD. Time to first token measured with an 8K-to…
>Time to first token measured with an 8K-token prompt using a 14-billion parameter model with 4-bit quantization Oh dear 14B and 4-bit quant? There are going to be a lot of embarrassed programmers who need to explain to their engineering managers why their Macbook can't reasonably run LLMs like they said it could. (This already happened at my fortune 20 company lol)
I love the following section of their copy: > Even More Value for Upgraders > The new 14- and 16-inch MacBook Pro with M5 Pro and M5 Max mark a major leap for pro users. There’s never been a better time for customers to upgrade from a previous generation of MacBook Pro with Apple silicon or an Intel-based Mac. I read as "Whoops we made the M1 Macbook Pro too good, please upgrade!" I think I will get another 2-5 years…
I have an M1 Max with 64 GB and an M4 Max with 128 GB and the latter feels noticeably snappier than the former. The latest MacOS release fucked up the M1’s performance. Wish I could downgrade easily. I want off that ride.
not too annoying to setup if the first thing you install is claude-cli