Unsung hero: Jose Alvarado, game 1 of Finals, after Brunson got hurt
"Jose Alvarado with 7 points in 6 minutes!"
"Jose Alvarado with 7 points in 6 minutes!"
I have zero relationship to Matt Pocock. I just use his helpful skills, like /grill-me, and I watch his videos.
I just signed up for his AI Coding Crash Course because I want an organized, non-hype, set of best practices and tools for my own knowledge and practice.
If you sign up, I would like to trade notes with you as we go through the exercises.
I like the idea of running adversarial review using more context. However, I worry that receiving the full prompt and the model response is just too much context.
When Entire demoed this feature, I wish they would have shown more hard facts about it doing better review than just this one example.
If you win MVP of the NBA Cup, MVP of the Conference Finals, and MVP of the Finals...
Yet do not get regular season MVP, Defensive Player of the Year, or any first team awards...
That should be called A Brunson Year.
It's for the underestimated player who loses the fan and media vote, but wins trophies as the best player.
I operate a small, read-only monitor. It checks 12 Reddit searches. Each search uses `search.rss?sort=new`
The monitor runs two times each day< and it stores responses and removes duplicate post IDs.
It sends selected posts discussions for me to review.
⚠️ The monitor does not vote, comment, submit posts, collect user profiles, or automate engagement.
Usually, one feed updates properly, but most other feeds return HTTP 429.
What am I doing wrong?
I use Windows 11 on an ARM64 computer.
A packaged desktop application starts correctly. But its restricted-token child process does not start.
The failure occurs before the application can start a cmd.exe test process.
The application gives these errors:
- CreateProcessAsUserW returns error 1312.
- TokenDefaultDacl previously returned error 1344.
- The application previously found access control list (ACL) errors in the temporary directory.
I corrected the ACLs of the temporary directory. The setup diagnostic now gives no errors. However, process creation still fails.
It's frustrating, because a general diagnostic passes because it does not test restricted-token process creation.
Any advice?
Knicks were down 2-1 vs Atlanta in the first round.
Then in game 4 KAT went for a triple double, 20/10/10 on 67% shooting.
In the blowout game, KAT was perfect in the first quarter, then ended with had 71% shooting and 14 rebounds.
The Knicks never let their foot off the gas since then
Pay that man his money, Dolan!
Now that Bending Spoons has acquired Airtable...
Which over-capitalized, flatlined growth startup will be next?
I made a game so you can make (and share) your guess.
OpenAI employees don't have usage limits, outdated systems at work, or non-AI related tasks to complete to keep their job.
The way you use AI has to be within, and hit a high success rate. By contrast, OpenAI employees can tinker and explore.
So take their advice on how to use Codex with a grain of salt.
What's your guess about the Knicks having three All-Stars - Brunson, KAT, and OG?
I saw Rauch announce this on X, and I was shocked. I've been discounting K3's benchmark credentials because I don't trust them.
But I do like vendor benchmarks because they mirror the work I actually do. As a Nextjs user I now have confidence in K3 as an option.
Sol stopped working, not because I'm out of credits, but it says the model is at capacity.
I'm a Pro user on the $200 tier, so this is a real bummer. I thought I would get priority access and availability
Flasha back just 9 months ago. The idea became popular that if the agent writes tests first, it would keep itself on track as it wrote features.
I tried this and used all sorts of complex prompts. And it never actually worked!
We understood nothing about context, reasoning, and tool calling limitations back then.
The models were just not good enough. There was no way around it.
I hate that we have so many reasoning choices.
If a task didn't work, is it because of my model choice?
Or if a task drained my usage, was it the reasoning?
This chart makes it seem like "high" is the best choice for all the models, Sol, Terra, and Luna.
(Ultra is high + subagents)
I don't know exactly how that was determined, but it sounds good, and has a pretty chart to prove it
"we ran the agent live, ten times per framework, on the identical model (claude-haiku-4-5) with the identical question, capturing latency, token usage, and whether the tool was actually invoked."
I wanted to test GPT-5.6 running a pixel-perfect site migration.
So I gave it Justice Year, my WordPress site running on WP Engine, with a MailChimp newsletter. I asked it to move the site to:
- Payload CMS
-Next.js
- Neon Postgres
-Vercel
- Resend
I used /goal mode, and said the migration was considered complete only when:
A new post created in Payload appeared publicly on justiceyear.com.
A newsletter submission created a real Resend contact.
The design and existing routes stayed visually consistent.
Before-and-after screenshots were captured and archived.
GPT-5.6 Sol completed the following:
- Migrated the WordPress content, pages, posts, media, taxonomies, redirects, navigation, forms, SEO metadata, and 404 behavior.
- Created a private GitHub repository and pull request for version control.
- Connected the production Neon database and preserved rollback credentials safely.
- Updated GoDaddy DNS and moved the live domain from WP Engine to Vercel. (using browser control)
- Issued the required Vercel certificates for both apex and www.
- Created a new Payload post and verified it publicly on the live domain.
- Submitted an email through the live newsletter form.
- Verified that the contact existed in Resend, was not unsubscribed, and belonged to the correct newsletter segment.
- Captured 28 WordPress “before” screenshots and 28 production “after” screenshots across desktop, mobile, full-page, embedded, redirect, archive, and 404 states.
- Uploaded the evidence to a Google Drive folder with separate before and after directories.
- Ran TypeScript, migration tests, form tests, linting, dependency auditing, and Gitleaks.
- Used pixel comparisons to measure visual fidelity. The final homepage desktop comparison measured a 3.04/255 mean absolute pixel difference.
Public Service Advisory: Kids, it's not a good idea to let an LLM use browser control to manage your infrastructure. I did it for science, but don't try this at home.
I saw a dude on X complain that Codex deleted almost all of his files. Some people said he should have been using DCG.
That still seems risky. I think we gotta start backing up our computers unfortunately.
I've never hit hit my Codex limit before. But yesterday I hit it twice and was saved by the resets.
I'm very happy with Sol though. It did a few tasks that were out of reach for 5.5. It found a set of files that I had deleted that were still cached in my teleprompter app (🤯). It also migrated my WordPress site to Nextjs / Payload, using a combo of browser control and multiple CLI's.
It was even fun watching the main thread have engineering manager conversations with the subagents.
But wow...it inhaled tokens like Cookie Monster and chewed through my usage. I'm on the $200 dollar Pro plan, which is supposed to be like a security buffer for me.
I may need to switch tactics and have Sol do the initial exploration, and then use Luna to run the tasks. My big worry is that Sol discovered and overcame so many dead ends by itself. I wonder if Luna has that same capability