What happens to everyone who spent millions and built their talking head models from scratch? No moats https://
genefaceplusplus.github.io
STARTUPS
-
Talking Head Models Built from Scratch Have No Competitive Moats
By
–
-

Inflection Introduces Pi: Personal AI for Enhancing Daily Life
By
–
With @heypi_ai, we're creating a new kind of AI that can enhance our personal lives. “Your AI will ask questions, clarify, and sharpen your understanding,” says Inflection CEO @mustafasuleymn. Our Co-Founders @reidhoffman and Mustafa discuss Pi and the future of AI on
-
Hugging Face Partnership Supports Next Generation AI Development
By
–
“We think it will take a village to raise the next generation of AI, and we see Hugging Face as a fantastic supporter of these same ideals.” Senior Dir. of Product Management Craig Wiley shared with @VentureBeat details on our new @huggingface feature
-

Craft Ventures hackAIthon Sponsorship on Replit Platform
By
–
We're excited to sponsor the Craft Ventures hackAIthon next week! If you're looking for an excuse to build something great on Replit, apply below.
-

AI Business Ideas List: Opportunities Beyond ChatGPT Era
By
–
List of #ArtificialIntelligence Business Ideas: https://
appinventiv.com/blog/how-to-ma
ke-money-in-ai/
… by @Appinventiv (and this list was pre-#ChatGPT, so imagine how much richer this idea-scape would be today!)
–
#BigData #DataScience #AI #MachineLearning #ML #DeepLearning #NLProc #ComputerVision #Innovation -
Startup Funding Shifts: Post-LLM Hype Era Begins Now
By
–
The question now is: who else? So many startups raised at unicorn levels. While LLMs haven't permeated everything yet—and that'll take a VERY long time—that hype train has stalled and eyes have shifted to more LLM-focused startups.
-
W&B and LLM Stack Leaders Navigate Post-GPT Era
By
–
W&B stuck the landing in the post-GPT era, along with several other hot startups like MosaicML and Anyscale that proved to be an important part of the LLM-powered stack (in particular for training and inference, respectively, based on people I've talked to).
-
W&B Raises Capital Driven by Machine Learning and LLM Growth
By
–
W&B didn't need to raise the round, obviously. It's grown substantially on the back of the machine learning—including LLMs. OpenAI is a customer of W&B. So it was a situation where it might as well ask for a big number, and if it didn't stick, that's fine.
-
Weights & Biases $2B valuation amid AI startup funding trends
By
–
The best example of this I've heard is Weights & Biases, which held some discussions earlier this year for a round that would value it at $2 billion. The conversations that picked up was that the price was high—even though startups like Pinecone were fetching 200x+ ARR multiples.
-
ML Startups Pre-GPT Era: VC Shift to LLM-Powered Ventures
By
–
Today's issue of Supervised is about startups that jumped on the machine learning hype train… before the GPT era of machine learning. 2020-22 investments with eye-popping valuations in ML startups. Now VCs have shifted eyes to LLM-powered startups.