The Flow Report | Edition 014
Hello Flow Report enthusiasts! It's a pleasure to have you with us for Edition 014, this June 15, 2023. We're your beacon in the ever-evolving landscape of AI Technology, bringing you the cutting-edge developments of the day. Let's navigate the waves of progress together!
June 15, 2023
In today’s Flow Report | Edition 014:
?Highlights?????
FlowGPT ?? MONEY CATEGORY WINNERS ?? Prompt Hackathon S2
Announcing the winners of the Money category, where our participants explored the fascinating intersection of finance and AI. Here are the winners who stood out with their innovative prompts:
2. No.2 -Best Side Hustle Generator by Mukyvugy
3. No.3 -PriceGPT - Cheapest products online by Douwe
Humans universally dislike the task of cleaning up a messy room. If machines were to help us with this task, they must understand human criteria for regular arrangements, such as several types of symmetry, co-linearity or co-circularity, spacing uniformity in linear or circular patterns, and further inter-object relationships that relate to style and functionality. Previous approaches for this task relied on human input to explicitly specify goal state, or synthesized scenes from scratch – but such methods do not address the rearrangement of existing messy scenes without providing a goal state. In this paper, we present LEGO-Net, a data-driven transformer-based iterative method for LEarning reGular rearrangement of Objects in messy rooms. LEGO-Net is partly inspired by diffusion models--it starts with an initial messy state and iteratively “denoises” the position and orientation of objects to a regular state while reducing distance traveled. Given randomly perturbed object positions and orientations in an existing dataset of professionally-arranged scenes, our method is trained to recover a regular re-arrangement. Results demonstrate that our method is able to reliably rearrange room scenes and outperform other methods. We additionally propose a metric for evaluating regularity in room arrangements using number-theoretic machinery.
Augment AI - Imagine ChatGPT, but it knows you and works across all your apps [Link]
领英推荐
?AI at Work: What People Are Saying [Link]
How do nearly 13,000 people in the workforce—from executive suite leaders to frontline employees—in 18 countries feel about AI?
?Tutorial: Creative QR Codes with ControlNet [Link]
Tools & Links??????
?Editor's Pick
CopyCat?- Make your favorite celebrity say anything [Link]
Use Demucs to split your favorite song into tracks, then send one to MusicGen to get a completely new music piece! [Try here]
Tutor GPT?- Dynamic few-shot metaprompting for theory-of-mind-powered tutoring. [Link]
Duply?- Automate your Visual Creation [Link]
Editor's Pick
Receiptor AI?- Extract receipts and invoices from emails with AI [Link]
Adobe Announces ‘Generative Recolor’ AI Feature For Adobe Illustrator [Link]
ReviewWriter -?Respond to reviews with AI [Link]
Octopulse AI?- A Platform for Growth teams to optimize Activation, Conversion and Retention. [Link]
??Editor's Pick
Composer -?Build trading algorithms with AI, backtest them, then execute—all in one platform. No coding skills required. [Link]
??GPT-4-generated pitches are?3x more likely?to secure funding than human ones [Link]
Paper: Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence [Link]
We've reached the end of today's Flow Report, Edition 014. We hope you've found your AI journey today insightful and inspiring. The world of AI spins forward, and so do we! Join us tomorrow for another dive into the currents of tech innovation in Edition 015. Keep on flowing!