@openai GPT 5.6 is so reliable. Especially the speed is so good when compared to Fable 5 considering the intelligence. Finally a model with usage limits generous enough for serious developers. No more "rate limits getting exhausted in 5mins" . 5.6 Sol - High is the sweet spot
# on shortification of "learning"
There are a lot of videos on YouTube/TikTok etc. that give the appearance of education, but if you look closely they are really just entertainment. This is very convenient for everyone involved : the people watching enjoy thinking they are learning (but actually they are just having fun). The people creating this content also enjoy it because fun has a much larger audience, fame and revenue. But as far as learning goes, this is a trap. This content is an epsilon away from watching the Bachelorette. It's like snacking on those "Garden Veggie Straws", which feel like you're eating healthy vegetables until you look at the ingredients.
Learning is not supposed to be fun. It doesn't have to be actively not fun either, but the primary feeling should be that of effort. It should look a lot less like that "10 minute full body" workout from your local digital media creator and a lot more like a serious session at the gym. You want the mental equivalent of sweating. It's not that the quickie doesn't do anything, it's just that it is wildly suboptimal if you actually care to learn.
I find it helpful to explicitly declare your intent up front as a sharp, binary variable in your mind. If you are consuming content: are you trying to be entertained or are you trying to learn? And if you are creating content: are you trying to entertain or are you trying to teach? You'll go down a different path in each case. Attempts to seek the stuff in between actually clamp to zero.
So for those who actually want to learn. Unless you are trying to learn something narrow and specific, close those tabs with quick blog posts. Close those tabs of "Learn XYZ in 10 minutes". Consider the opportunity cost of snacking and seek the meal - the textbooks, docs, papers, manuals, longform. Allocate a 4 hour window. Don't just read, take notes, re-read, re-phrase, process, manipulate, learn.
And for those actually trying to educate, please consider writing/recording longform, designed for someone to get "sweaty", especially in today's era of quantity over quality. Give someone a real workout. This is what I aspire to in my own educational work too. My audience will decrease. The ones that remain might not even like it. But at least we'll learn something.
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
I'm 22 years old and Claude Code is deteriorating my brain.
Every single day for the last 6 months I've had 6 to 8 Claude Code terminals open, waiting for a response just so I can hit 'enter' 75% of the time. And it's doing something to me.
In convos with a couple of friends, it's been a point that's been brought up pretty frequently.
None of us feel as sharp as we used to.
I don't know if it's just us, or others in their 20s are feeling the same thing, but it's something I've been thinking about a lot.
P.S. I know this is a problem with my reliability/usage of it, not Claude Code itself, but the effects are real nonetheless
Claude Code will grill you with 40+ questions before writing a single line of code
> it's called /grill-me - 3 sentences long. most impactful skill I use
instead of jumping straight to code - it walks every branch of your design tree until there's zero ambiguity
> every question reveals something you hadn't thought of
other skills I use daily:
> /write-a-prd - idea โ proper product doc
> /prd-to-issues - doc โ GitHub issues automatically
> /tdd - tests first, forces edge case thinking before code
> /improve-codebase-architecture -> full structural review of your codebase
all links and full breakdown in my article
full video from Matt Pocock ๐
Learning how to code is changing. The old ways won't work anymore if you want to get hired.
You won't be hired anymore because you can write code in one language better than the other person.
Here is what truly matters to set yourself apart.
Introducing GPT-5.5
A new class of intelligence for real work and powering agents, built to understand complex goals, use tools, check its work, and carry more tasks through to completion. It marks a new way of getting computer work done.
Now available in ChatGPT and Codex.
i spent way too long learning system design the wrong way.
reading articles. watching videos. still freezing on whiteboard questions.
so i built Antimetal
โ drag & drop canvas to actually build architectures
โ failure simulations before you ever ship
โ 67 lessons, soup to nuts
and many more ....
we're live. go build something.
Link in the comment
I love to explore solutions with it so I often ask it to brainstorm with me, then choose an option and rewind to implement it.
When I'm ready, I ask it to interview me to figure out whatโs in my head and then write a spec.
When implementing, auto mode lets it run.
Opus 4.7 feels more intelligent, agentic, and precise than 4.6. It took a few days for me to learn how to work with it effectively, to fully take advantage of its new capabilities.
Will post a few more tips throughout the day, starting with this blog post: https://t.co/XQrH8P28yo