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Daily Digest #359
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Hello folks, here’s what we have today;
ICYMI I wrote about how folks at CB Insights use AI34. They have brought AI into their research and data-intensive products.
Stack Overflow and Google Cloud are budding up.231 The developer question-answer forum will integrate its massive data store with Google’s AI tools. There’s no mention of training on this data (and that might not matter much).🍿Here's why9 (also below)
Figure AI, a robotics startup, is making serious moves in the humanoid robot space. Figure just scored $675 million373 in funding and teamed up with OpenAI and Microsoft to build next-level AI for their humanoid robots.🍿Our Summary14 (also below)
Elon Musk sues OpenAI and Sam Altman505† for betraying the agreement from Open AI's founding to remain a non-profit company. Elon says they're now closed-source, working with Microsoft to make money instead.🍿Our Summary15
Palazzo768 by Venus Williams - Bring your unique interior designs to life.
Blobr498† - The AI assistant connected to your business tools.
FinetuneDB483† - No code LLM operations platform.
Realistics AI495† - Your everyday buddies and expert coaches.
Click AI559 - The fastest way to automate QA.
Guestlab543 - Every podcaster's tool to get research done in minutes.
R2R by SciPhi274 - Develop and deploy framework for production-ready RAG systems.
View more →247
Don't sleep on email689 as an LLM interface.
Talking GPUs, Inference and CUDA with AMD’s CTO Mark Papermaster.176
Columbia and Georgia Tech are organizing a combined AI hackathon - Ivyhacks.195
Meta is planning to launch Llama 3 in July.219 The goal is to get it to answer more “unsafe” questions.
OpenAI partners with Dublin City Council for GPT-4 powered tourism.249
Microsoft Copilot for Finance543 is publicly available now. Finance folks! Embrace the future.🍿Our Summary17
View more →106
Figure AI, a robotics startup, is making serious moves in the humanoid robot space. Figure just scored $675 million in funding373 and teamed up with OpenAI and Microsoft to build next-level AI for their humanoid robots.
What is going on here?
Robots are about to get a lot smarter and closer to being used in everyday life.

What does this mean?
Figure’s fundraiser is a massive series B of $675B at a $2.6B valuation. Microsoft, NVIDIA, and Bezos are part of the investment. But I’m excited about the part 2 of this announcement. Figure and OpenAI are teaming up to create next-generation AI models for humanoid robots.
Microsoft Azure will provide the backbone for Figure's AI development. Think unlimited computing power to train their robot brains. All hail Satya—the compute God.
Why should I care?
Little reminder in the early days OpenAI did some robotics research but then discontinued it because the tendons in robots would keep breaking (kidding, but it’s somewhat true). Instead, it pursued "knowledge” centric AI. And in the meanwhile, Figure has mastered robots. So, expect the new robots to understand nuanced instructions and interact with our complex world.
They're not messing around – they've got big funding, star-studded partnerships, and a clear plan to get robots out of the lab and into the real world.
StackOverflow, the developer question-answer forum, is partnering with Google Cloud to integrate its massive data store with Google’s AI tools. Both of the “once-giants” are trying to get back developer attention with this move.
What is going on here?
Stack Overflow and Google Cloud are partnering up to share AI resources.

What does this mean?
StackOverflow is moving to Google Cloud for hosting and will use Google’s Vertex AI to build new AI features on its platform. My dev friends have been ditching the platform since ChatGPT came along.
On the flip side, Stack Overflow's massive knowledge base is being plugged into Google's AI magic. There’s no mention of training on this data. Gemini for Google Cloud will highlight answers (code snippets and instructive bits) from StackOverflow’s API. Developers could also use StackOverflow in Google Cloud’s native console—much like a traditional cross-app integration.
These features will be available in mid-2024 and there will be some sneak peek in April during Google Cloud Next.
Why should I care?
Developers are still the early adopters and front-facing audience for LLMs. Google might not need to train on the code data to be a helpful tool for developers. The way we are seeing Gemini Pro 1.5 demos on Twitter, just pulling massive amounts of related answers from StackOverflow’s data and putting them into the model’s context might be enough to create better code.
This partnership might not be about Google’s plan to create a better coding/reasoning model. Instead, they might be going for a GitHub Copilot like product. The move plays into both platforms’s strengths: Google’s search and StackOverflow’s human-driven knowledge.
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