It’s almost time to pass the baton.
25,000 miles per hour is fast.
But that speed is necessary to defy the gravitational pull of the earth.
Defying gravity is hard, but not impossible.
Similarly, driving innovation and change in a large organization – let alone the largest organization on the planet, the Department of Defense – is hard, but not impossible.
I’ve spent the last 3 years working to defy gravity and get desperately needed technology into our operators’ hands.
Some of that technology was previously unimaginable. Read More
Monthly Archives: April 2022
Optimum Transformers: how to save over $20k a year on NLP
In this tutorial we are going to check if it is possible to speed up NLP models more than 10x times and get 1ms latency as in Hugging Face Infinity and save over $20k a year.
Spoiler: yes, it is possible, and with the help of this article it is easy to reproduce and adapt it to your REAL projects.
And for those who are too lazy to read all this and want to get everything out of the box: https://github.com/AlekseyKorshuk/optimum-transformers. Read More
Deep Symbolic Regression for Recurrent Sequences
Symbolic regression, i.e. predicting a function from the observation of its values, is well-known to be a challenging task. In this paper, we train Transformers to infer the function or recurrence relation underlying sequences of integers or oats, a typical task in human IQ tests which has hardly been tackled in the machine learning literature. We evaluate our integer model on a subset of OEIS sequences, and show that it outperforms built-in Mathematica functions for recurrence prediction. We also demonstrate that our oat model is able to yield informative approximations of out-of-vocabulary functions and constants, e.g. bessel0(x) ≈ sin(x)+cos(x) √ πx and 1.644934 ≈ π 2/6. An interactive demonstration of our models is provided at https://bit.ly/3niE5FS. Read More
#nlpThat smiling LinkedIn profile face might be a computer-generated fake
At first glance, Renée DiResta thought the LinkedIn message seemed normal enough.
The sender, Keenan Ramsey, mentioned that they both belonged to a LinkedIn group for entrepreneurs. She punctuated her greeting with a grinning emoji before pivoting to a pitch for software.
“Quick question — have you ever considered or looked into a unified approach to message, video, and phone on any device, anywhere?”
DiResta wasn’t interested and would have ignored the message entirely, but then she looked closer at Ramsey’s profile picture. Little things seemed off in what should have been a typical corporate headshot. Ramsey was wearing only one earring. Bits of her hair disappeared and then reappeared. Her eyes were aligned right in the middle of the image. Read More
Yesterday Marked the Death of Art as an Industry
Starting yesterday, AI is now definitively better than human artists in almost every sense of the word. Here’s why human art & design is about to crumble.
OnMarch 6th, 2022, OpenAI released DALL-E 2: their “new AI system that can create realistic images and art from a description in natural language”.
I don’t say this lightly: this new AI system is not just on-par with human artists. It is definitively better than humans in almost every sense of the word. Read More
A Fistful of Bitcoins: Characterizing Payments Among Men with No Names
Bitcoin is a purely online virtual currency, unbacked by either physical commodities or sovereign obligation; instead, it relies on a combination of cryptographic protection and a peer-to-peer protocol for witnessing settlements. Consequently, Bitcoin has the unintuitive property that while the ownership of money is implicitly anonymous, its flow is globally visible. In this paper we explore this unique characteristic further, using heuristic clustering to group Bitcoin wallets based on evidence of shared authority, and then using re-identification attacks (i.e., empirical purchasing of goods and services) to classify the operators of those clusters. From this analysis, we characterize longitudinal changes in the Bitcoin market, the stresses these changes are placing on the system, and the challenges for those seeking to use Bitcoin for criminal or fraudulent purposes at scale. Read More
#blockchainArtificial Intelligence: An Accountability Framework for Federal Agencies and Other Entities
As a nation, we have yet to grasp the full benefits or unwanted effects of artificial intelligence. AI is widely used, but how do we know it’s working appropriately?
This report identifies key accountability practices—centered around the principles of governance, data, performance, and monitoring—to help federal agencies and others use AI responsibly. For example, the governance principle calls for users to set clear goals and engage with diverse stakeholders.
To develop these practices, we held a forum on AI oversight with experts from government, industry, and nonprofits. We also interviewed federal inspector general officials and AI experts. Read More
Andrea Thomaz, Diligent Robotics | The Robot Brains Podcast
Autonomous Cruise car encounter with police raises policy questions
No technology is perfect. Even self-driving cars trained to obey traffic laws are bound to run into issues that cause them to commit a citable offense. Such was the case with a Cruise-operated hatchback in San Francisco last weekend, which was pulled over by local law enforcement for failing to switch on its headlights. While the car came to a stop, as video of the incident shows, there’s policy to be established when it comes to interactions between autonomous vehicles and police.
Originally published on Instagram, the video shows the car — one of Cruise’s Chevy Cruises — in the city’s Richmond District pulling over to the side of the road when signaled to do so by an officer, ahead of an intersection. The policeperson walks toward the car and attempts unsuccessfully to open the driver-side door, at which point the Cruise vehicle begins to drive down the road — only to pull over again and activate its hazards. Police approach the car a second time in a presumed effort to figure out how to turn on the headlights. Read More
Tesla is aiming to start production of its Optimus humanoid robot in 2023
Elon Musk gave a timeline to production for the first time for the Tesla Optimus project, a humanoid robot capable of doing general tasks.
The CEO believes the company can bring the ambitious project to production as soon as next year. It’s an ultra-ambitious timeline even for him.
When Tesla announced the “Tesla Bot” project at its A Day last year, Elon Musk presented it as something the company could do by leveraging existing work and parts from the development of self-driving technology, and if they don’t do it, someone else will. Read More
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