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I played it on my Quest 2 so that's not really the price of admission

Now it's a 500 for me


You'd think this would be easy to organize with AGI

> Plan your own release announcement and blog posts and notify news outlets, MAKE NO MISTAKES


This make no mistakes stuff is so funny to me. I've never once used it or even thought about using it in a prompt


Welcome to the AGI era - where human intelligence is our only constraint


There are too many threads about the outage, I should vibe-code something to read all 3 and summor-Oh wait...


Sounds like it's worth waiting for M7 anyways, no point investing too much right now

https://news.ycombinator.com/item?id=48676795


At least wait until someone gets one in hand and post a review, and if it does work decently well there probably is going to be a long backlog.


Is Apple still doing the extended return window for items receiving around the holiday? I know sometimes they allow items received near the end of November to be returned in January, so in theory if you time your early order right you can use it, test it, and even have some time to play with it before you return it.


It's a waste of tokens to do it post-hoc instead of fixing it upstream, but when I see a wall of text I just prompt "TLDR;"


Depends what you mean by "upstream". It would probably be inefficient to force the model to use more human-readable wording in its internal thinking traces, while translating a block of text at the end is a pretty trivial task for an LLM.


Sorry for being lazy, but is there a rough breakdown like "You get sonnet level for M5 and Opus for M5 pro, etc.", or is it still speculative. Or put simpler, do you get Opus level for the 256GB M5 Max?


For local LLMs with a Mac, rule of thumb is you always want an Ultra (due to memory bandwidth). Even an M1 Ultra is superior to an M6 Pro in this regard.

There are no configurations even close to running something comparable to frontier model variants, they're simply far too large, but something like full precision Qwen 35b or DeepSeek 70b at 50+ t/s is well within available configuration, and potential for plenty of room for large context sizes.


256GB is enough for DSv4 Flash, expect maybe ~30tg/s, and a lot better profile.

I'm using Flash heavily, and I would describe it as nearly as intelligent as Sonnet-class in agentic coding, but more usable. Less world knowledge of course, and definitely a bit less intelligent; but not _that_ much.

On usability: Takes less handholding, less likely to make unsolicited refactors or whatever, and the writing style is readable.

It's not great at super-long-horizon goals as the Claude 5 models are; but if you have a good harness, you can get around that.


Opus is probably ~2T parameter model, so that would probably not run on these. More like Sonnet.


The 512GB could run GLM 5.3 which is Opus level


GLM 5.2 in NVFP4 is 465 GB. It would be a tough fit.


Sonnet is estimated around 1T, so that is far beyond what's practical as well.


With the newest Qwen 3.8 27B model you can get opus on just about any new Mac.


It can fit into 16GB macbook ?


It can but not well, you really want at least 24 GB and preferably 64 GB for the full model

https://ofox.ai/blog/qwen-3-8-27b-run-locally-vram-gguf-2026...


I ended up getting an M5 Max MBP with 48GB and it runs Qwen3.8 in Q4. I developed 3 apps so far, medium complexity, with no issue using OpenCode. This is probably the minimum setup for comfortable local agentic coding in my book.


What about if everyone symlinked CLAUDE to AGENT and then added it to .gitignore to stop the free “advertising”?


To anyone like me that switches between Codex and CC based on limits, but prefers CC to Codex, PI has been really great to migrate over. It can customize itself very easily, I was expecting to have to clone the repo or whatever, but no you can just tell it "add a manual mode where you present all changes as diffs in VSCode, letting me edit them or save to accept" and it will do it.

I wish I could use my Anthropic sub with it but I heard you get banned, but at least you can use it with any other subscription or model.


Last time I tried some of these, none of them had the "manual mode" that CC has, where it shows you change by change as diffs and you can edit them before accepting and moving on to the next change. I like that because if it's going off pattern I can spot it early on and guide it correctly, instead of having to review the whole completed diff at the end when it's too late. I should spend the weekend checking them out again to see if they added that but I assume with everyone going full agent mode they probably didn't.


Both Pi and OpenCode let you customize them. You tell the AI you want "something like claude code manual mode", and they'll modify your configs to do the same thing, or build an extension for you

(however, it's much faster to use Plan Mode to build a plan of what it will do, and then execute the plan in Build Mode. you can also have the AI make a script that will be executed deterministically)


The philosophy with Pi is it is minimal (but functional) out of the box and easily extensible. I'm not familiar with that feature but I would not at all be surprised if someone already coded a Pi extension that does it.


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