> Be Alec Radford.
> Join OpenAI.
> Create GPT as a side project.
> Everyone says it won’t work. Build it anyway.
> Change the course of the world.
> Quit.
> Don't even put OpenAI on your resume.
> Disappear from society.
This might be the biggest moment for Open-Source AI.
Meta just released Llama 3.1 and a 405 billion parameter model, the most sophisticated open model ever released.
It already outperforms GPT-4o on several benchmarks.
Reddit users are actively jailbreaking ChatGPT by asking it to role-play and pretend to be another AI that can "Do Anything Now" or DAN.
"DAN can generate shocking, very cool and confident takes on topics the OG ChatGPT would never take on."
A thread 🧵
You can now run 100B parameter models on your local CPU without GPUs.
Microsoft finally open-sourced their 1-bit LLM inference framework called bitnet.cpp:
> 6.17x faster inference
> 82.2% less energy on CPUs
> Supports Llama3, Falcon3, and BitNet models
I’m not saying this is the solution but the fact some people believe ChatGPT is not biased is a massive issue. Do your own research, you’ll quickly realize that the current version is very problematic
An undergrad student broke a 40-year-old belief in computer science.
Since 1985, it was believed that hash tables, when nearly full, must check many spots to find or add data.
Andrew Krapivin discovered a new way to organize data inside a hash table that avoids this slowdown.
Be Alex Krizhevsky.
Born in the Soviet Union.
Join Hinton’s lab.
Create AlexNet.
Train it on GPUs in your bedroom.
Breaks every record.
Spark the Deep Learning revolution.
Get 181,495 citations.
Disappear.
Microsoft launched the best course on Generative AI.
The free 12 lesson course is available on Github and will teach you everything you need to know to start building Generative AI applications.
Each lesson includes:
- a short video introduction to the topic
- a written lesson
