Ever wonder what’s happening inside an AI’s brain?
This is a neural network in action,turning raw data into "thoughts" through thousands of layered transformations.
You hate avocado.
You eat a sandwich without knowing it has avocado and you love it.
Then you find out avocado was in it, and now you’re upset lol
Generative Ai discourse summed up
What leads us to ignore experts isn't their knowledge. It's their arrogance.
Evidence: Scientists are more credible when they admit what they don't know, acknowledge what they got wrong, and update their views.
Trust is earned by expressing humility, not by asserting authority.
Burnout happens when there is no progress. Burnout also happens when you have no visibility into how dots will connect in the future. Burnout is about not being able to close the loop after putting a ton of effort and not seeing enough results.
My Entry for the GMTK 2024 Game Jam with the theme "Built to Scale": Scale Wizard
Scale your spells to defeat Kaiju emerging from the ocean!
Play the game in your browser here:
https://t.co/uRRnXidNLg
#gmtkjam#GMTK2024#madewithunity#screenshotsaturday
Since time immemorial, when a CEO asks a PM at Product Review, “what do you need to 10X users/revenue?”, “what will make you go faster?”, etc
The PM steadfastly responds “We need [N] more engineers”. The Eng Mgr nods approvingly
A story thread, with some hard truths to swallow:
💩Discover #PoopScan in the Whistle App! Transform your dog's daily duty into a health check with a click.
Our deep net TurdNet, built with #pytorch turns a simple photo into valuable health insights. Powered by 12K+ expert-assessed images. https://t.co/PkVqqK0OCf
RL community should be in awe and shock from Eureka paper🫨. The idea here is that you feed the source code of environment to GPT-4 and ask it to write code for the reward function itself! Then you evaluate this reward function in simulation and provide your evaluation results back to GPT-4 so it can make improvements to the reward function!! You do this over and over and RL eventually ends up achieving super human results in lots of different challenges, all without human intervention!!!
I don’t know if folks still remember but companies with AGI ambitions were used to be all about RL just few years ago. But then something happened on the way and RL was relegated to just being a little cherry on the cake. It seems LLMs were the missing puzzle piece all along. If you had been listening carefully, you can almost hear that thundering sound of come back :).
The overall approach of generator synthesizing r_i, critic providing feedback f_i and then generator synthesizing r_i+1 is very reminiscent of actor-critic feedback loop at meta level. This already has so much foundational theory in place but rather underutilized in current setting. LLM instances themselves can be the world model, the agent and the critic while RL a mechanism that jointly improves all of them iteratively. The proverbial positive feedback loop of self-improvement might be just around the corner that allows us to go beyond human training data and capabilities.
Worrying if my job was jeopardized by AI this week or if we’re still good, I read a new paper evaluating #GPT4V - a #GPT4 version handling image and text inputs. It produces *impressive* radiology reports. But let’s delve deeper into some of the results... #radiology#AI
Here is a 1 minute "making of" my #GMTKJam (hosted by @gamemakerstk ) game "Resistor"!
Play as robot who turns the tables on their captors in this 3rd person shooter.
click to play/rate: https://t.co/7gSKidrJyo
#madewithunity#gmtk2023#screenshotsaturday
Here's the link to play/rate my #GMTKJam submission "Resistor": https://t.co/7gSKidrJyo
I had a lot of fun making this! I would have loved to flesh it out a bit more with more time, but today is also my son's birthday!
#screenshotsaturday#madewithunity
Submitted my entry for the #GMTKJam "Resistor"
Reverse Roles as you single handedly execute your would-be executioners while still being strapped to the chair!
#GMTKJam23#madewithunity