47
4
Text AI watermarks will always be trivial to remove (seangoedecke.com)
2
What's so hard about continuous learning? (seangoedecke.com)
2
Anti-AI nostalgia and the cult of the past (seangoedecke.com)
1
Screwing Up (seangoedecke.com)
7
Blood in the Datacenter (seangoedecke.com)
4
I don't like the "staff engineer archetypes" (seangoedecke.com)
3
Screwing Up (seangoedecke.com)
3
SkiFreedle, a daily game version of SkiFree (1991) (skifreedle.com)
2
What's so hard about continuous learning? (seangoedecke.com)
1
We are in the "gentleman scientist" era of AI research (seangoedecke.com)
1
How does AI impact skill formation? (seangoedecke.com)
6
Grok is enabling mass sexual harassment on Twitter (seangoedecke.com)
155
How good engineers write bad code at big companies (seangoedecke.com)
1
It's not surprising that 95% of AI enterprise projects fail (seangoedecke.com)
1
Solving the inference problem for open source AI projects with GitHub Models (github.blog)
1
Scan and resolve fixed GitHub issues and PRs with AI (github.com/ashleywolf)
2
Show HN: OpenAI Codex for Free with GitHub Models (gist.github.com)
1
The Illusion of "The Illusion of Thinking" (seangoedecke.com)
4
Sycophancy is the first LLM "dark pattern" (seangoedecke.com)
1
The OpenAI house style is exhausting (seangoedecke.com)
1
Designing software that could possibly work (seangoedecke.com)
1
Dangerous Advice for Software Engineers (seangoedecke.com)
2
How to work in tech when your job isn't safe (seangoedecke.com)
1
Reduce, Reuse, Refactor (stevenlaidlaw.com)
1
Model Context Protocol explained as simply as possible (seangoedecke.com)
23
What's next after the AI bubble bursts? (seangoedecke.com)
14
Building your sense of what's important at a tech company (seangoedecke.com)
2
Refactoring won't save you from a layoff (seangoedecke.com)
1
How I know I'm working with a strong engineer (seangoedecke.com)
1
Beyond Prompting (seangoedecke.com)
2
Engineers Who Won't Commit (seangoedecke.com)
2
Learning how to think better from LLMs (seangoedecke.com)
53
To avoid being replaced by LLMs, do what they can't (seangoedecke.com)
1
Lessons on thinking from large language models (seangoedecke.com)
3
Is it cynical to do what your manager wants? (seangoedecke.com)
166
How I use LLMs as a staff engineer (seangoedecke.com)
2
Why does AI slop feel so bad to read? (seangoedecke.com)
1
Are DeepSeek's new models really that fast and cheap? (seangoedecke.com)
4
Playing politics is how senior engineers protect their team (seangoedecke.com)
3
What did DeepSeek figure out about reasoning models with R1? (seangoedecke.com)
7
Writing a tech blog people want to read (seangoedecke.com)
2
Protecting your time from predators in large tech companies (seangoedecke.com)
2
How to Give Pushback to Leadership (leaddev.com)
56
What it's like working for American companies as an Australian (seangoedecke.com)
2
Ratchet effects determine engineer reputation at large companies (seangoedecke.com)
3
Mistakes engineers make in large established codebases (seangoedecke.com)
1
How I got promoted to staff engineer twice (seangoedecke.com)
75
What can strong engineers do that weak engineers can't? (seangoedecke.com)
2
Why some engineers get trusted with high-impact work (seangoedecke.com)
2
Grifters, Believers, Grinders, and Coasters (seangoedecke.com)
20
I don't know how to build software and you don't either (seangoedecke.com)
307
How I ship projects at big tech companies (seangoedecke.com)
1
Talking to ChatGPT costs 5ml of water, not 500ml (seangoedecke.com)
7
Watch six different LLMs play Texas Hold'em against each other (github.com/sgoedecke)
2
Making AI models compete for food in a virtual tank (github.com/sgoedecke)
1
MCTS and LLMs: what's the big deal? (seangoedecke.com)
8
Using squeezed wav2vec2 to automatically detect owl calls (seangoedecke.com)
1