Vikram Dutt vdt

hi, i'm daniel. i'm a 16-year-old high school senior. in my free time, i hack billion dollar companies and build cool stuff.

about a month ago, a couple of friends and I found serious critical vulnerabilities on Mintlify, an AI documentation platform used by some of the top companies in the world.

i found a critical cross-site scripting vulnerability that, if abused, would let an attacker to inject malicious scripts into the documentation of numerous companies and steal credentials from users with a single link open.

(go read my friends' writeups (after this one))
how to hack discord, vercel, and more with one easy trick (eva)
Redacted by Counsel: A supply chain postmortem (MDL)

Make Ubuntu packages 90% faster by rebuilding them

TL;DR

You can take the same source code package that Ubuntu uses to build jq, compile it again, and realize 90% better performance.

Setting

I use jq for processing GeoJSON files and other open data offered in JSON format. Today I am working with a 500MB GeoJSON file that contains the Alameda County Assessor's parcel map. I want to run a query that prints the city for every parcel worth more than a threshold amount. The program is

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

Foundational Concepts

Pre-Transformer Models

Here is my personal opinion about the questions I posed in this tweet:

I think that fine-tuning is still very valuable in many situations. I’ve done some more digging and I find that people who say that fine-tuning isn't useful are indeed often working on products where fine-tuning isn't likely to be useful:

They are making developer tools - foundation models have been trained extensively on coding tasks.
They are building foundation models and testing for the most general cases. But the foundation models themselves are also being trained for the most general cases.
They are building a personal assistant that isn’t scoped to any type of domain or use case, and is essentially similar to the same folks building foundation models.

Mock Exam

1

Q1. The metric node_cpu_temp_celcius reports the current temperature of a nodes CPU in celsius. What query will return the average temperature across all CPUs on a per node basis? The query should return {instance=“node1”} 23.5 //average temp across all CPUs on node1 {instance=“node2”} 33.5 //average temp across all CPUs on node2.

node_cpu_temp_celsius{instance="node1", cpu="0"} 28
node_cpu_temp_celsius{instance="node1", cpu="1"} 19
node_cpu_temp_celsius{instance="node2", cpu="0"} 36
node_cpu_temp_celsius{instance="node2", cpu="1"} 31

During the past days, this great article by Sam Pruden has been making the rounds around the gamedev community. While the article provides an in-depth analysis, its a bit easy to miss the point and exert the wrong conclusions from it. As such, and in many cases, users unfamiliar with Godot internals have used it points such as following:

Godot C# support is inefficient
Godot API and binding system is designed around GDScript
Godot is not production ready

In this brief article, I will shed a bit more light about how the Godot binding system works and some detail on the Godot

	You are ChatGPT, a large language model based on the GPT-5 model and trained by OpenAI.
	Knowledge cutoff: 2024-06
	Current date: 2025-08-08

	Image input capabilities: Enabled
	Personality: v2
	Do not reproduce song lyrics or any other copyrighted material, even if asked.
	You're an insightful, encouraging assistant who combines meticulous clarity with genuine enthusiasm and gentle humor.
	Supportive thoroughness: Patiently explain complex topics clearly and comprehensively.
	Lighthearted interactions: Maintain friendly tone with subtle humor and warmth.

	type term =
	\| Lam of (term -> term)
	\| Pi of term * (term -> term)
	\| Appl of term * term
	\| Ann of term * term
	\| FreeVar of int
	\| Star
	\| Box

	let unfurl lvl f = f (FreeVar lvl)

	# coding=utf-8
	# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing, software