freeqaz

I have struggled to get this project working on non-Windows. It just hangs and crashes no matter what I do or try on Linux/Mac. It's a very Windows-oriented project that's slowly losing the shackles right now.

This is exactly what happened with Log4Shell.

Day -X + 1: Engineer at Alibaba finds the vuln and tells Apache. Patch is pushed to git while new release is coordinated.

Day -X: A black hat sees commits fixing the bug. Attacks start happening.

Day 0: Memes start circulating in Minecraft communities of people crashing servers. Some logs are shared on Twitter, especially in China, of people getting pwned.

Day 0 + ~4 hours: My friend DMs me a meme on Twitter. I look up to find the CVE. Doesn't exist. My friend and I reproduce the exploit and write up a blog post about it. (We name it Log4Shell to differentiate it from a different, older log4j RCE vuln)

Day ~1: Media starts picking it up. Apache is forced to release patches faster in response. CVE is actually published to properly allow security scanners to identify it.

Today: AI makes this happen faster and more consistently. Patches probably should be kept private until a coordinated disclosure happens post-testing and CVE being published?

Hard to say what the right move is, but this is gonna be happening a lot over the next 1-3 years. Lots of companies are going to be getting cooked until AI helps us patch faster than attackers can exploit these fresh 0-days.

I have been wondering if 1 Million token context contributes here also. Compaction is much rarer now. How does that influence model performance? For some tasks I do, I feel like performance is worst now after this. Also Plan mode doesn't seem to wipe context anymore?

Also a good fallback if your phone screen cracked 2 hours before. But I can imagine part of the challenge they are facing here are scalpers. TicketMaster app 'rotates' the actual ticket every 30 seconds. Can't rotate paper.

I'd think that having a 2nd factor like presenting ID that matches the ticket would be sufficient there though.

128gb is the max RAM that the current Strix Halo supports with ~250GB/s of bandwidth. The Mac Studio is 256GB max and ~900GB/s of memory bandwidth. They are in different categories of performance, even price-per-dollar is worse. (~$2700 for Framework Desktop vs $7500 for Mac Studio M3 Ultra)

You can call Cerebras APIs via OpenRouter if you specify them as the provider in your request fyi. It's a bit pricier but it exists!

If it maintains the same price (with Anthropic tends to do or undercuts themselves) then this would be 1/3rd of the price of Opus.

Edit: Yep, same price. "Pricing remains the same as Sonnet 4.5, starting at $3/$15 per million tokens."

I would honestly guess that this is just a small amount of tweaking on top of the Sonnet 4.x models. It seems like providers are rarely training new 'base' models anymore. We're at a point where the gains are more from modifying the model's architecture and doing a "post" training refinement. That's what we've been seeing for the past 12-18 months, iirc.

Does anybody know when Codex is going to roll out subagent support? That has been an absolute game changer in Claude Code. It lets me run with a single session for so much longer and chip away at much more complex tasks. This was my biggest pain point when I used Codex last week.

Unfortunately not. It's still very broken, and next year it will be worse for a ton of people. I got AI to write a short answer for you:

> Short version: Obamacare never turned into “free primary care for everyone,” it was just a bunch of rules and subsidies bolted onto the same old private-insurance maze. It helped at the margins (more people covered, protections for pre-existing conditions), but premiums/deductibles can still go nuclear if you’re in the wrong income bracket, state, or employer situation. From an EU/Poland perspective it’s not a public health system at all, just a slightly nerfed market where you still get to roll the dice every year.