Hiring and firing a DBA

Self-authoring LLM knowledge base

Prior to 6 months ago, I wouldn't trust an LLM to automatically manage my personal records. They were too dumb and too much of a liability. But recently…

crawshaw - 2026-02-08

I wrote up my experiences programming with LLMs a bit over a year ago, and updated it for the world of agents eight months ago. A lot has changed since then, so here is an update.

The death of the junior developer

LLMs are putting pressure on junior tech jobs. Learn how to stay ahead.

Brandon Stewart on Twitter / X

1/ New @Nature! We study how powerful institutions shape the information environment for LLMs. Commercial LLM training is opaque, so we trace a path from state-coordinated media -> training data -> model responses. pic.twitter.com/5LdFvzbFaf— Brandon Stewart (@b_m_stewart) May 13, 2026

If you don't run your own LLM proxy, how the fuck do you even know whats going on?

I think the title captures the idea fully but I'll dig into it because this ain't Twitter. You're working an idea, a piece of code, or a multibillion a year SaaS app which is probably saving the world. Maybe you're automating the cloning process of grabbing

Your LLM Doesn't Write Correct Code. It Writes Plausible Code.

One of the simplest tests you can run on a database:

Don't Read The Comments

I sent this email to the current YC batch this morning: I've talked to some of you who are really bummed about negative press coverage or online comments about your company.  Often this takes...

The LLM post - Bailey's Retrospective

Personal thoughts when the job changes

Exposed Moltbook Database Let Anyone Take Control of Any AI Agent on the Site

'It exploded before anyone thought to check whether the database was properly secured.'

Meet the Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases

Meet the Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases

Dan Shipper 📧 on Twitter / X

this is true and is a big reason why you don’t need to be a highly technical researcher to use LLMs in surprising and novel ways https://t.co/TuxNzXzToU— Dan Shipper 📧 (@danshipper) July 27, 2025

Fact-checking an engagement drop on MAGA pages because of the Yandex data center strike | Joohn Choe

Zelenskyy tweet: https://x.com/ZelenskyyUa/status/2109602415397749044?s=20 Res Futura Data House tweet: https://x.com/Polityka_wSieci/status

Mitigating LLM-based p-Hacking by Preregistering for the Next LLM

Large language models (LLMs) are increasingly used to generate, classify, and annotate data whose outputs feed downstream hypothesis tests. However, LLM-based research is easy to p-hack: a researcher can tune the prompts, decoding parameters, or output format until a desired result is reached. We propose a protocol to mitigate p-hacking in LLM-based research: preregistering the experiment and eligible models, and then running it on the first eligible LLM that is released after the preregistration. The researcher finalizes the procedure on current models, preregisters the analysis plan together with a set of eligible future models, and runs the confirmatory analysis on the first eligible model released afterward. Because this model does not exist at commitment time, it cannot be hacked against; furthermore, configurations that hack one model frequently do not transfer to the next. We evaluate the protocol on two tasks whose true values are known. Across 20 models from four providers and 11 LLM-analysis configurations, the protocol would have blocked successful transfer of the p-hack in 73.9% and 72.7% of cases in the two tasks. Additional analyses reveal that mitigation remains substantial under several stress tests. Finally, putting money where our mouth is, we followed our own protocol and preregistered our experiment. The preregistered experiment confirmed the protocol's effectiveness: out of the 7 configurations that hacked the prior model, the hacking failed to carry over in 6 configurations on the first eligible model released afterward.

It’s Never Too Early to Fire | Andreessen Horowitz

I have never fired anyone too early. How many founders have been in the position of hiring a senior executive — having gone through all the interviews, reference checks, board approvals, and negotiations — only to have doubts creep in all too soon after they start? Your hire doesn’t seem to be delivering on the...

LLMs break the internet. Signing everything fixes it.

The dead internet theory wasn't wrong, just early. Here's what to do next.