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- Lore Issue #52: Canva Moves Into AI With Runway Partnership
Lore Issue #52: Canva Moves Into AI With Runway Partnership
Good morning.
Another wild week in AI with announcements from Canva, Microsoft, and more.
The most notable thing to me in AI this week was the Sam Altman interview with Joe Rogan, where he made it clear that there are straightforward significant improvements to AI coming for the next few years without any breakthroughs required.
Going to be a crazy few years.
Data-watching startup Observe raised $50M and debuted generative AI toolkit (Link)
Mesh-AI raised $30M to refocus the enterprise around data (Link)
Machina Labs raised $32M to bring flexibility to manufacturing (Link)
NEURA Robotics raised €15.1M for a new era of human-machine collaboration (Link)
SuperOps AI raised $12.4M for its AI-powered PSA-RMM platform (Link)
FluidAI Medical raised $15M for AI-driven postoperative monitor (Link)
Unitary raised $15M for AI-driven content moderation (Link)
Opsera raised $12M to introduce generative AI DevOps features (Link)
Move AI raised $10M for its 3D motion capture app (Link)
Minds AI raised $5.3M for deep learning solutions for the semiconductor industry (Link)
Induced AI raised $2.3M to add new levels of automation to a variety of workflows (Link)
Konect AI raised $5.5M to to advance communications between auto dealerships and auto tech companies and customers (Link)
Humata AI raised $3.5M to simplify complex research publications and help accelerate scientific discovery (Link)
Saidot raised €1.75M to help organizations safely unlock the potential of generative AI (Link)
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Canva has released a powerful AI design suite in partnership with Runway.
Described as “the world’s most comprehensive AI-design platform” for organizations and individual users, Magic Studio provides tools for automating labor-intensive tasks like converting designs into other media formats or instantly editing images through generative AI.
Microsoft plans to reveal its first AI chip at its upcoming developer conference, marking the culmination of years of effort. This move aims to reduce Microsoft's reliance on Nvidia-designed AI chips, which have been in high demand and short supply.
Similar to Nvidia's GPUs, Microsoft's chip is intended for data center servers that train and operate large language models, such as OpenAI's ChatGPT. Currently, Microsoft's data center servers rely on Nvidia GPUs to power advanced language models for cloud customers, including OpenAI and Intuit, as well as for AI features in Microsoft's productivity applications.
Advanced Micro Devices (AMD) has announced its acquisition of Nod.ai in a bid to enhance its software capabilities and compete with Nvidia in the AI chip market. The deal's terms are undisclosed, but Nod has previously raised approximately $36.5 million.
Earlier this year, AMD established an AI group to oversee the acquisition and plans to expand its software engineering team by hiring 300 additional professionals in 2023 and beyond, emphasizing its commitment to competing effectively in the AI chip sector.
Other news
OpenAI CEO on Artificial Intelligence Changing Society
LLaVA v1.5, an open-source competitor to GPT-4 Vision
GPT-4-Vision has a new open-source competitor, LLaVA v1.5.
And it's REALLY good.
More examples: twitter.com/i/web/status/1…
— Matt Shumer (@mattshumer_)
7:23 PM • Oct 6, 2023
GAIA-1 by Wayve AI that generates realistic driving scenes
If you think this is a normal driving video, you'd be wrong.
This entire video is generated by @wayve_ai's generative AI model, GAIA-1.
The model was built to generate realistic driving scenes into the future to improve safety of self-driving cars in the real world. twitter.com/i/web/status/1…
— Rowan Cheung (@rowancheung)
3:00 PM • Oct 5, 2023
This 3D scan processed with the new Luma AI update
Welcome to the jungle 🌴 🏞️
Love how this 3D scan turned out — immaculate trees, vegetation, and that little waterfall is just 😍
⚙️ Processed with the new Luma AI update that allows you to create radiance fields with Gaussian Splatting
— Bilawal Sidhu (@bilawalsidhu)
2:04 AM • Oct 8, 2023
Talknotes: A voice-note taking app to turn messy thoughts into actionable notes (Link)
Wondercraft: Turn existing content into captivating podcasts (Link)
Genei: Automatically summarize background reading and produce blogs, articles, and reports faster (Link)
Brainwave: Automate customer interactions; simplify lead collection and meeting schedules (Link)
Find more tools at FutureTools.io.
Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion (Link)
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning (Link)
How FaR Are Large Language Models From Agents with Theory-of-Mind? (Link)
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency (Link)
The fact that most individual neurons are uninterpretable presents a serious roadblock to a mechanistic understanding of language models. We demonstrate a method for decomposing groups of neurons into interpretable features with the potential to move past that roadblock.
— Anthropic (@AnthropicAI)
5:40 PM • Oct 5, 2023
That's it!
See you next week!
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