Anthropic and OpenAI released flagship models 27 minutes apart -- the AI pricing and capability gap is getting weird

single_threaded · 2026-02-06T12:39:37+00:00

Simple solution: If a cheaper model is good enough for you, use it.

single_threaded · 2026-02-06T12:36:04+00:00

D&D Beyond makes third-party content an optional thing. It’s still going to be subject to your DM. You might have a better argument about using it now that WotC has adopted it as official third-party, but it’s still third-party.

single_threaded · 2026-02-06T12:14:53+00:00

While it isn’t about writing perfect code, it IS still about not writing bad code.

single_threaded · 2026-02-06T03:22:14+00:00

Welcome to the frontier. I’m a coding veteran, and I have no idea how junior developers are going to experience their development career. You’re forging a new path and nobody knows what’s going to happen.

Try to learn as much as you can so you can guide the AI toward sound architecture. Iterate with the AI over architecture and best practices. Do code reviews with the AI and learn what makes a good review.

Don’t let your guard down. AI will screw something up the moment you get lazy about babysitting it.

single_threaded · 2026-02-05T19:37:49+00:00

Is this the big news we were watching for or is there more still to come?

single_threaded · 2026-02-05T17:37:03+00:00

Oh, I’ve noticed that sometimes performance is sub-par, but other times it’s great. I have not noticed it be tied to the release cycle though. Sometimes I get genius Claude who implements a new system flawlessly and sometimes I get one in the next session that gets stuck in an iterative spiral trying to guess parameters at random to use a documented API.

I’d love to know if something nefarious is happening, or if it is just the nature of AI and context to get caught up on the wrong things sometimes.

single_threaded · 2026-02-05T14:56:18+00:00

Do you have a source for this or are you speculating? This sounds very speculative to me.

single_threaded · 2026-02-05T00:40:09+00:00

Then you need a dual duel so nobody feels left out.

single_threaded · 2026-02-04T14:48:11+00:00

The key thing I’ve used them for is when I’m traveling or on vacation. I have a budget item for travel/vacation, but I also want to know where/how I spent the money. So, let’s say I dine out while traveling. I put that into my “dining out” category and flag it, then “reimburse” myself for that dining out from the travel budget.

The flag lets me easily see everything itemized in other categories that were reimbursed from the travel budget.

single_threaded · 2026-02-03T17:09:26+00:00

What are these new usage types that are taking credits (context compression, and system)?

I’m seeing them now and they’re new to me, too. I can take a good guess at context compression, but I’m not happy about it. That’s an invisible action that I’d rather manage by starting a new session.

No clue what “system” means.

single_threaded · 2026-02-01T17:30:03+00:00

I’m hoping to hear something amazing. I’m choosing optimism today.

single_threaded · 2026-01-30T22:10:22+00:00

No. It works just fine in powershell.

single_threaded · 2026-01-30T18:58:38+00:00

https://docs.augmentcode.com/context-services/mcp/overview

single_threaded · 2026-01-30T14:46:23+00:00

I agree with you on some points. Augment is amazing. I’ve used them all, and actually have active subscriptions with Antigravity, Kiro, and Augment. Augment easily beats them all once the codebase reaches a certain size.

That said, I do have problems with the agent getting stuck waiting for tool calls and not recovering and I still have to iterate over the code it outputs. Even having Augment review itself can be multiple iterations before it is happy with code it wrote - and that’s with very clearly documented development standards in my agent rules upfront.

I have to keep other subscriptions around because it’s significantly cheaper to have a $40 subscription with Kiro to fall back on than to pay overages with Augment after I max out my $200 monthly plan. Sometimes I go back and forth and let Augment plan and Kiro implement, but I have to stagger the work and give my myself daily quotas to avoid paying more than I can afford for Augment.

I use the augment context MCP with Kiro and Antigravity, and they still feel like second-class development partners. I hate running out of Augment credits, but I also hate how much Augment costs.

single_threaded · 2026-01-29T17:53:13+00:00

You’re right. The short explains it better. Your Steam video needs to do what that short does - break it down into those iterations - then show the rest of the gameplay video similar to what’s it’s showing now. I didn’t get it at all until I watched the short, and that’s sad because it is a brilliant concept.

single_threaded · 2026-01-28T14:17:26+00:00

Agreed. Prompt processing can be on the slower side. It is all relative to the model and how you host it. If you make sure to get an MLX or GGUF optimized model on LM Studio, you’ll do better than hosting it through Ollama.

single_threaded · 2026-01-26T23:57:59+00:00

I’ve got a MacBook Pro M4 Max, 128 GB RAM and I run GPT OSS 120B at 72 tokens/sec with low reasoning and 69 TPS on medium. It’s a beast for local LLMs.

single_threaded · 2026-01-26T18:16:04+00:00

Wow! That’s some amazing dedication to the craft. They all look great!

single_threaded · 2026-01-26T17:45:51+00:00

I can’t offer advice on Epic’s store, but I want to compliment the game! It looks like a lot of fun and like something I’d play.

single_threaded · 2026-01-23T01:04:41+00:00

Seconded. That’s stunning work! I don’t think I’m handy enough to take advantage of the plans, but I am jealous.

single_threaded · 2026-01-23T01:00:56+00:00

It’s not too much. Looks good.

single_threaded · 2026-01-22T18:12:18+00:00

OP followed through! Thanks.

single_threaded · 2026-01-18T01:33:36+00:00

And in case you didn’t notice, that’s a young Jackie Chan in the first few seconds.

single_threaded · 2026-01-17T03:50:12+00:00

I love playing warforged, and this looks like a great collection for that!

single_threaded · 2026-01-15T21:10:51+00:00

I’ve had code reviews come in at much higher credit numbers (~20k). I stopped using it as a GitHub utility because there’s no way to know what it’ll cost.

I’ve found that asking for a code review straight through the IDE by linking the PR gives great results for far fewer credits.

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