Legaltech News sat down with the leaders of AI detection company Copyleaks to discuss the findings of their study that found that almost 60% of OpenAI’s GPT-3.5 outputs included some form of plagiarism, and the effectiveness of uncovering AI use.
Category: robotics/AI – Page 533
How LLM #ai is transforming the science of cells and propelling new discoveries by @carlzimmer v/EricTopol.
Given troves of data about genes and cells, A.I.
Given troves of data about genes and cells, A.I. models have made some surprising discoveries. What could they teach us someday?
Calum and David recently attended the BGI24 event in Panama City, that is, the Beneficial General Intelligence summit and unconference. One of the speakers we particularly enjoyed listening to was Daniel Faggella, the Founder and Head of Research of Emerj.
Something that featured in his talk was a 3 by 3 matrix, which he calls the Intelligence Trajectory Political Matrix, or ITPM for short. As we’ll be discussing in this episode, one of the dimensions of this matrix is the kind of end goal future that people desire, as intelligent systems become ever more powerful. And the other dimension is the kind of methods people want to use to bring about that desired future.
So, if anyone thinks there are only two options in play regarding the future of AI, for example “accelerationists” versus “doomers”, to use two names that are often thrown around these days, they’re actually missing a much wider set of options. And frankly, given the challenges posed by the fast development of AI systems that seem to be increasingly beyond our understanding and beyond our control, the more options we can consider, the better.
Devin comes with some advanced capabilities in software development, including coding, debugging, problem-solving, etc. Here’s all you need to know about it.
Coral.ai @raspberrypi =???Raspberry Pi 4 👉 https://amzn.to/3SBCRW0Coral AI USB Accelerator 👉 https://amzn.to/3SBGrzMRaspberry Pi Camera V3 Module 👉 https…
A machine learning pipeline named ARTEMIS captures how the landscape of repeat genomic sequences shifts in patients with cancer, and could facilitate earlier detection and monitoring of tumor progression.
📄:
ARTEMIS is a new approach to characterizing genome-wide repeat elements in cancer and cell-free DNA.
Apple acquired Canada-based company DarwinAI earlier this year to build out its AI team, reports Bloomberg. DarwinAI created AI technology for inspecting components during the manufacturing process, and it also had a focus on making smaller and more efficient AI systems.
DarwinAI’s website and social media accounts have been taken offline following Apple’s purchase. Dozens of former DarwinAI companies have now joined Apple’s artificial intelligence division. AI researcher Alexander Wong, who helped build DarwinAI, is now a director in Apple’s AI group.
Devin, SIMA, Figure 1, all in 24 hours. What does it mean and are AI models taking the wheel? I’ll go through 5 relevant papers and 11 articles to get you all the relevant details, from what exactly Devin accomplished, and didn’t, to DeepMind’s new AGI-attempt-in-3D (SIMA) to just how far AI agents have come and what that means for the future of jobs. They’ll also be a guest star … discussing … me?
AI Insiders [Exclusive videos, Discord, Interviews and More]: / aiexplained.
Devin: https://www.cognition-labs.com/blog.
Devin YT: • AI trains an AI!
SWE-bench: https://arxiv.org/pdf/2310.06770.pdf.
Cognition Twitter: / with_replies.
Reality Check: / 1768056098995814836
Karpathy Tweet: / 1767598414945292695
Bloomberg: https://www.bloomberg.com/news/articl…
Chollet Prediction: / 1767935813646716976
https://magic.dev/
SIMA: https://deepmind.google/discover/blog…
SIMA Paper: https://storage.googleapis.com/deepmi…
MobileAgent: https://arxiv.org/pdf/2401.16158.pdf.
OpenAI Agent: https://www.theinformation.com/articl…
Red Dead Redemption AI: https://arxiv.org/pdf/2403.03186.pdf.
RT-X: https://deepmind.google/discover/blog…
Figure 1 Hz: / 1767928771875868677
MasterPlan: https://www.figure.ai/master-plan.
Unit Cost: https://www.cnbc.com/2024/02/29/robot…
MMMU: https://arxiv.org/pdf/2311.16502.pdf.
https://github.com/MMMU-Benchmark/MMMU
Jeff Clune Tweet: / 1768320487627579466
Semianalysis: https://www.semianalysis.com/p/ai-dat…
Huang AGI Quote: https://www.reuters.com/technology/nv…
Altman Quote: https://www.marketingaiinstitute.com/.…
US Govt Report: https://twitter.com/jeffclune?ref_src…
AI Insiders: / aiexplained.
Waabi says its new model can anticipate how pedestrians, trucks, and bicyclists move using lidar data.
Last summer, Breakthrough Energy, Google Research, and American Airlines announced some promising results from a research collaboration, as first reported in the New York Times. They employed satellite imagery, weather data, software models, and AI prediction tools to steer pilots over or under areas where their planes would be likely to produce contrails. American Airlines used these tools in 70 test flights over six months, and subsequent satellite data indicated that they reduced the total length of contrails by 54%, relative to flights that weren’t rerouted.
There would, of course, be costs to implementing such a strategy. It generally requires more fuel to steer clear of these areas, which also means the flights would produce more greenhouse-gas emissions (more on that wrinkle in a moment).
More fuel also means greater expenses, and airlines aren’t likely to voluntarily implement such measures if it’s not relatively affordable.