Who actually am i behind this name? Back in 9th grade, I was considered the biggest troublemaker in my family. Every day, there was some new issue or complaint about me. Then came the COVID lockdown. I managed to convince my family to buy me my first smartphone. That’s when I discovered a live-streaming platform called Bigo. I started doing livestreams there and began earning around $100–150 per month which was a big deal for me at the time. Through Bigo, I met someone who would become my first love her name was Pity We started talking, and eventually, our bond grew into a long-distance relationship. I would even travel to her state every month just to meet her. A year passed, and exam season arrived. Her family started putting pressure on her to focus on studies as typical brown parents do and she told me she wouldn’t be able to talk much during this time. I had my own exams too, so I got busy as well. Exams ended. Results came out. But she never came back. I tried to reach out. One day, she replied and said she wanted to meet that it was important. That very night, I packed up and left. I reached her place the next morning. As soon as she saw me, she broke down crying and told me that her family would never accept our relationship. She said she wanted to move on. I tried to convince her, really tried. But I failed. It was clear that she had already made up her mind. I came back home. For the first 2–3 days, I was fine. But soon, it felt like I had lost something incredibly valuable in life. I locked myself in my room for 6 months, and during that time, I even attempted self-harm a few times. Then slowly, things started to get a bit normal again. One morning, while scrolling through Facebook, I came across a job post. The position was “Discord Chatter.” I applied for it. The job was simple: Whitelist grinding. I had to type 1,000 messages a day in Discord servers, and for every 1,000 messages, I was paid $10. I kept doing this for 5 months straight. Later, I applied for a moderator position in a project called Warriors of Ankh. That’s how I joined AnkhLabs. I worked in multiple roles within the agency and started saving money. Last year in August, I moved to India with a scholarship to continue my studies. Today, both of my parents are retired and I’m taking care of things. I’m always grateful to God. ❤️ The reason I’m sharing this now is… a few days ago, I came back home during my semester break, and while walking down a street, I randomly saw Pity again but this time, she was holding hands with someone else. And in that moment, I finally smiled to myself and thought: God really does have better plans for us!

groq runs llama 3.3 70b at 500 tokens/ sec and charges you nothing for it! faster than anything openai or anthropic will sell you, and there's no card to enter. the stack, free: > every open model: llama 3.3 70b, qwen3, deepseek-r1, gpt-oss 120b. > 500 tok/sec on their LPU chips, 3-10x faster than gpu providers. > 30 req/min, 1000 req/day. > openai sdk compatible, just swap the base url. why it's actually free: groq sells LPU hardware to enterprises. the api is the demo reel. they have a real reason to keep it generous, and it's been free since launch with no expiry clock. setup: - console (.) groq (.) com, sign up with email or github. - make a key. - point any openai client at the groq base url. - model: llama-3.3-70b-versatile the catch: > limits are per org, not per key. extra keys won't multiply your quota. > open models only, no gpt or claude. > the daily cap is what you'll hit on batch jobs. their batch api is 50% off for volume. what would you build first if inference was free and instant?

all about yesterday

good morning ct

gQuack saar $12 is a lot in my country saar

good morning ct classic monday it is

good morning all about last night

good morning gonna be stucked today all day at uni.

the most expensive model anthropic makes fails in the exact same place the cheap one does. spent all day using fable in puku-cli for our cowork project. the work is hard. it runs differently on windows and mac, plus a lot of networking to connect everything. i gave it a tough problem. a vm trying to reach the host's main files through the cli, and how to stop that. i wrote out the full plan, a skill, and the ebpf c code to block it. fable talked a lot more than opus. it thought more and used way more tokens. it felt smarter the whole time. but then it got stuck at the same spot opus does. same place, same way. more thinking, more money, same weak point. so it's not really an upgrade.

good morning ct

i just did my thing

good morning to whom it may concern

AI can do this, AI can do that meanwhile i just sold my last 2 pairs of jockey boxers to buy claude subscription

good morning ct last night meal was good

Kinda washed but okay

good morning ct. mango>>>>

> my reply game is good. > i got followed by most baddiest baddie in the CT. > i dont hold megaeth anymore. > i bought some btc. tell me im not outperforming 60% of ct

good morning ct may i take your order?

good morning ct woke up with this

yo so solstice just made a move into AI infrastructure yield and honestly it's kinda smart. most protocols pick one thing and just sit there! solstice keeps stacking new ways to earn on top of what's already working. that's the difference! Im Currently looking onto this.

Been thinking about this a lot lately. Why do yield products keep failing users at the worst times? Simple. One strategy, one source, one point of failure. The second market conditions shift, it's over. No backup. No options. @solsticefi is approaching this differently with aiUSX. The yield layer model means the sources are spread across AI infrastructure financing instead of betting on a single play staying alive. Makes way more sense to me honestly! curious what you guys think tho.