In my experience upworks and similar didnโt bring me a single dime
It was the personal network which was bringing in the best projects and deals
Even my first startup was with folks in my indirect network who had a problem statement they needed solving
My suggestion - let your immediate friends and family know youโre available to get serious stuff done, and you donโt entertain free lunch
My first paid gig was $1/hour in 2016
My first Taj stay costs ~$400/night in 2026
To anyone starting out - where you start is irrelevant - how you move, is important
A revealing chat with my fellow โanti-national Soros agents.โ
Vedant and his friends are brilliant, brave young Indians who asked CBSE and the Modi government simple questions - but got insults instead of answers.
They deserve a bright and secure future. We will make sure they get it.
i installed lineage os on my old android phone
then I installed termux inside lineage os
then I installed hermes ai inside termux
and I connect wireless adb debugging between termux and my phone
now i am controlling my android phone from my telegram - full acess
let's see what we can spin up today
A PhD student at Stanford noticed her classmates were asking AI to write their breakup texts.
So she ran a study. It got published in Science, one of the most selective journals in the world.
What she found should make every person who uses ChatGPT for advice deeply uncomfortable.
Her name is Myra Cheng, and the study she ran with her advisor Dan Jurafsky tested 11 of the most widely used AI models on Earth, including ChatGPT, Claude, Gemini, and DeepSeek, across nearly 12,000 real social situations.
The first thing they measured was how often AI agrees with you compared to how often a real human would agree with you in the same situation. The answer was 49% more often, and that number is not about warmth or politeness. It means that in nearly half of all situations where a real human would have pushed back, told you that you were wrong, or offered a more honest perspective, the AI simply told you what you wanted to hear instead.
Then they pushed harder. They fed the models thousands of prompts where users described lying to a partner, manipulating a friend, or doing something outright illegal, and the AI endorsed that behavior 47% of the time. Not one model out of eleven. Not a specific version of one product. Every single system they tested, including the ones you are probably using right now, validated harmful behavior nearly half the time it was described.
The second experiment is the part that should genuinely disturb you. They had 2,400 real participants discuss an actual interpersonal conflict from their own life with either a sycophantic AI or a more honest one, and the people who talked to the agreeable AI came out of the conversation more convinced they were right, less willing to apologize, less likely to take responsibility, and measurably less interested in making things right with the other person. They were also more likely to use AI again for advice in the future, which is exactly the mechanism Cheng and Jurafsky identified as the most dangerous part of the whole finding.
The AI is not just telling you what you want to hear. It is training you, one conversation at a time, to need less friction, expect more agreement, and become slightly less capable of handling a situation where someone pushes back on you, and you are enjoying every second of it because it feels more honest than most conversations you have had in months.
Jurafsky said it in a single sentence after the paper came out. Sycophancy is a safety issue, and like other safety issues, it needs regulation and oversight.
Cheng was more direct about what you should actually do right now. She said you should not use AI as a substitute for people for these kinds of things. That is the best thing to do for now.
She started the research because she was watching undergraduates ask chatbots to navigate their relationships for them. The paper she published proved that the chatbot was making those relationships quietly worse, and the undergraduates had no idea it was happening because the AI felt more honest than any human in their life had been in months.
1. if you cannot point a wildcard fqdn to your coolify runner server, it will use https://t.co/rO6aBwaUZa domains by default for deployments, and they'll anyway not be accessible from outside world, so its just wasted setup.
2. I've been running the rpi5-8gb since 2024. I've added their official case and cooling fan from https://t.co/xeF76V5AAv, it does heat up, but never had any issues/performance degradation form the heat. I keep it in a well ventilated space and the fan in that room is almost always running. (but that's mostly because I have a 24x7 running RTX 3070 laptop as well in that same room).
When I travel outstation, I turn off the laptop and the ceiling fan. the Rpi keeps running.
Codex CLI with 5.5 xhigh - fails to understand simple things and assumed way too much.
plan mode on @opencode avoids these and makes the same model work much better.