It’s just unreasonably useful to have a free photorealistic visualizer who patiently cranks out infinite revisions at 45 seconds per.
GENERATIVE AI
-

Using AI Strawmans to Iterate on Design Problems
By
–
Ruriko: How am I supposed to design a pantry?
Me: Ask an AI for a strawman and react to it.
Ruriko: How?
Me: *photo, prompt*
Ruriko: Oh no that is not what I want it needs to…
Me: *transcribes*
Ruriko: … Now what do we do with this?
Me: We give it to the Make It Happen people. -
o3 Response Speed vs Google: When AI Feels Too Slow
By
–
It's funny cus deep down I feel the same way. But then o3 takes 2 mins to respond for a simple query I probably could've googled and I instantly switch
-
Gemini’s reasoning flaws revealed during public demo event
By
–
Demo would've been perfect if Gemini didn't recommend Lighthouse Park which is ~4 hours walk from the Convention Centre I'm assuming reasoning will get sorted before public launch though. Can't wait to try!
-
Domino Achieves AWS Generative AI Competency with Trainium
By
–
We just achieved the @awscloud Generative AI Competency! Now it’s even easier for customers to build, train, and scale GenAI with Domino + AWS #Trainium. Details here: https://
domino.buzz/44wtz46
#GenerativeAI #AWS #AIatScale -

ChatGPT Now Allows Direct Image Sharing Feature
By
–
You can also now share images you create directly from ChatGPT.
-
Advanced Face Swap and AI Avatars Now Available on Replicate
By
–
Advanced face swap and no-LoRA AI avatars from @easel_ai are now live on Replicate. Their models let you unlock new experiences in social, creative, and dating apps. Learn more and try them out here:
-
Chatbot Arena transforms from research project into commercial company
By
–
this was a fun one: Chatbot Arena (aka @lmarena_ai
) is turning into a real company — the people behind it want to grow the popular chatbot ranking website from a research project to a business. -
GenAI Evals: Why Teams Delay Automated Testing Too Long
By
–
I’ve noticed that many GenAI application projects put in automated evaluations (evals) of the system’s output probably later — and rely on humans to judge outputs longer — than they should. This is because building evals is viewed as a massive investment (say, creating 100 or
-
Building AI Models for Better Enterprise Customer Experience
By
–
What are the advantages of building models and products? A better, more customizable experience for customers across the stack.
— Cohere (@cohere) 17 avril 2025
CEO @aidangomez joins @jacobeffron on @Redpoint's Unsupervised Learning Podcast for a wide-ranging conversation on model architectures, enterprise… pic.twitter.com/HEumCBfqvzWhat are the advantages of building models and products? A better, more customizable experience for customers across the stack. CEO @aidangomez joins @jacobeffron on @Redpoint
's Unsupervised Learning Podcast for a wide-ranging conversation on model architectures, enterprise