The "thing" next to the fingernail is a functioning computer created at the University of Michigan (and it measures just .3 mm a side). It's run by photovoltaics and is primarily used as a precision temperature sensor. The caveat is that once it loses power, it loses all prior programming and data.
It tests the limits of what we call a computer - but it's multitudes better than the previous iteration, and innovation breeds innovation.
AI has plenty of weaknesses - I've talked about some before, and I'll continue to talk about them in the future, but two specific weaknesses were brought to my attention this week.
AI Portraits - Won't Steal Your Data, But Might Steal Your Soul Dorian Gray-Style
I assume most of you have seen the FaceApp trend - people age-ifying their photos and unwittingly giving the rights to their photos to a shadowy Russian tech company. You've also likely seen AI paintings selling for ridiculous money.
But have you seen their lovechild AI Portraits - a more wholesome experiment run by the MIT-IBM Watson AI Lab. AI Portraits uses approximately 45,000 different Renaissance-esque 15th-century portraits and General Adversarial Networks to translate your selfie into an artistic masterpiece. It's novel because instead of simply drawing over your face it's generating new features and creating an entirely new version of your face.
Mauro Martino via YouTube
It's impressive because it determines the best style for your portrait based on your features, your background, and more.
However, it's not without "flaw". The choice of 15th-century portraiture creates a couple of clear biases. At the time, portraits of smiling or laughing individuals were rare, so your smile will likely not transfer. As well, there's a clear bias towards anglo-saxonification.
My son got excited while playing with the app and sent several of his coworkers, friends, and family through the app. If you look at the bottom right, you'll see my lovely wife Jen's portrait.
Most of you have seen my wife and know that she is Indonesian, something that is very much removed from the translation.
All photos are immediately deleted from their servers after creating your image, so your privacy is safe (this time!)
All biases can be considered quirks of this current iteration of the program - which I do earnestly believe is interesting.
Later, you can imagine an AI choosing between various different styles of art based on a cornicopia of factors - or off human selection - but you have to walk before you can run, and this is a fun way to get people excited about AI.
Computer Answering Systems - No, The Answer Isn't 42
“Yes…Life, the Universe, and Everything. There is an answer. But I’ll have to think about it...the program will take me seven-and-a-half million years to run.” - Deep Thought, Hitchhiker's Guide To The Galaxy
Think of the global excitement when IBM's Watson first beat Ken Jennings in Jeopardy ... it's widely considered one of the holy grails of AI research to create a machine that truly understands the nuances of language and human thought. Yet, if you've talked to Alexa recently, you know there's a long way to go.
Today's question answering systems are basically glorified document retrieval systems. They scan text for related words and send you the most relevant options. Researchers at the University of Maryland recently figured out how to easily create questions that stump AI (without being paradoxical, impossible to answer, requiring empathy etc.) in order to enhance those systems.
A system that understands those questions will be a massive step toward a real understanding and processing of language.
So what's the secret to these "impossible" questions?
The questions revealed six different language phenomena that consistently stump computers. These six phenomena fall into two categories. In the first category are linguistic phenomena: paraphrasing (such as saying “leap from a precipice” instead of “jump from a cliff”), distracting language or unexpected contexts (such as a reference to a political figure appearing in a clue about something unrelated to politics). The second category includes reasoning skills: clues that require logic and calculation, mental triangulation of elements in a question, or putting together multiple steps to form a conclusion [...]
For example, if the author writes “What composer's Variations on a Theme by Haydn was inspired by Karl Ferdinand Pohl?” and the system correctly answers “Johannes Brahms,” the interface highlights the words “Ferdinand Pohl” to show that this phrase led it to the answer. Using that information, the author can edit the question to make it more difficult for the computer without altering the question’s meaning. In this example, the author replaced the name of the man who inspired Brahms, “Karl Ferdinand Pohl,” with a description of his job, “the archivist of the Vienna Musikverein,” and the computer was unable to answer correctly. However, expert human quiz game players could still easily answer the edited question correctly.
The main change is increasing the complexity of the questions by nestling another question. In the above example, the second question forces the AI not only to decide the composer inspired by Karl Ferdinand Pohl, but also to decipher who is inspiring (hint: It's Karl Ferdinand Pohl).
AI isn't great yet at mental triangulation; at putting together multiple steps to form a conclusion. While AI is great at brute force applications - we're still coding the elegance.
Baseball signals are purposely confusing to keep them a secret. Attempting to decode your opponents' signals is part of the game. As it turns out, machine learning is pretty good at figuring them out.
Mark Rober, a former NASA engineer on the Curiosity Rover, put together a good video showing its efficiency. It's an interesting application and a pretty good introduction to machine learning. It did the rounds in my office, and we liked it.
Dave Asprey is perhaps the most well-known biohacker (he's even referenced in Merriam-Webster's definition of biohacker) and the founder of Bulletproof. For those that don't know, a biohacker is someone who uses drugs and technology to make their body/mind function better.
Dave and I shot a video where he discusses life and provides an interesting take on algorithms.
It's not surprising that biohacking has become as popular as it has. In a society that encourages (maybe even necessitates) an impossible balance between work, responsibilities, and self-care - it makes sense to want to increase efficiency.
Biohacking helps you do more with less. Biohacking is popular because you're trying to get peak performance via the path of less resistance.
Having trouble with sleep, but don't want to stop using your phone before bed? Wear blue-light blocking glasses.
While biohacking started as tricks like that - nootropics to help your mind, light and sound machines to decrease stress - it's becoming increasingly tech-centric and augmentation based.
Several months ago, I shared Gartner's hype cycle for 2018. Do-It-Yourself Biohacking was one of 5 encompassing trends for the year.
The future is bringing implants to extend humans past their perceived limits and increase our understanding of our bodies; biochips with the potential to detect diseases, synthetic muscles, and neural implants. - Howard Getson
It's estimated that over 100,000 people already have various types of implants. In Sweden, thousands of Swedes are inserting chips under their skin to speed up their daily routines. They use chips to open locked doors, to store contact information, and to get on to the train. Currently, chips are limited to simple tasks like unlocking doors, holding personal data, and tracking simple to record data.
Longterm, it's likely you'll see it moving toward exoskeletons, AR/XR experiences, and unsurprisingly to sex toys. It's also being used to create artificial organs and counteract memory loss. The two companies that are leading this movement are Neuralink, Biohax International and Digiwell. While it's currently being adopted primarily by fast-movers and technocrats, it's pragmatic to think there will be more widely-adopted versions of this as technology gets standardized and protections are put in place.
For all the excitement, it's necessary to remain skeptical and patient. DIY biohacking raises various ethical issues, especially around data protection and cybersecurity. As a reminder, when it comes to cybersecurity, you "the user" are the biggest weakness.
There's no stopping this train, but there is time to make sure it stays on tracks!
Fake news was scary enough ... but now it is going to a new level. Technology is going to make it harder to find the “signal” in the “noise”.
Here is a preview of tech solutions (which already exist) that are likely to create a new set of problems and challenges for us in the future.
Replica is a company whose goal is to replicate celebrity voices. They see this as enabling creative applications of their voices without the commitment of the celebrity - of course the owner of the voice that's being replicated would control when/where it could be used.
Combine that ability to simulate voices with deepfake technology (which can alter video in many ways, including to look like the mouth in the video is is saying the words that were simulated) and the potential for confusion or deception skyrockets.
My guess is that you will hear a lot more about this soon because of upcoming elections. It will also become increasingly relevant in everyday life, business, trading, and legal situations.
A picture used to be worth a thousand words, but this may change that equation forever.
On Tuesday, for less than an hour, early in the workday, it felt like the internet was down for many. The cause? Cloudflare went down. Cloudflare offers web services to over 16 million websites. That includes sites like HubSpot, Medium, UpWork, 9gag, Discord, Sirius XM, Shopify, Coinbase, Canva, Soundcloud, Buzzfeed, and Capitalogix.
That means when Cloudflare went down, so did a non-trivial portion of the internet. W3techs reports approximately 10% of the internet was affected by Cloudflare being down.
There was a massive spike in CPU utilization. At the time, it looked like a DDOS attack. People were speculating that it was a Chinese attack trying to mess with the Hong Kong protests.
Turns out, it was bad code - specifically, a single misconfigured rule within their firewall services. They did a global rollout of the code, and so it affected everyone.
This shows the importance of staged rollouts - testing your releases live with test groups before being released globally.
The reality is, using a CDN is still helpful, Cloudflare's downtime doesn't mean you shouldn't use them.
It does mean we should be thinking about what failsafes are needed to keep the internet infrastructure working in the event of attacks or failures.
Attacks are becoming more common, and as we now expect constant improvements/releases to software, we can expect more company errors as well. Facebook had similar issues on Wednesday.
Think of how much relies on the internet as a backbone. It's crazy to think about the impact sustained downtime would have; billions of dollars in business not happening, banking systems down, etc. Realistically, if the entire internet goes down we likely have bigger issues to worry about, but this event shows that large swaths of the internet could be affected at once.
Here Are Some Links For Your Weekly Reading - September 1st, 2019
Here are some of the posts that caught my eye recently. Hope you find something interesting.
Lighter Links:
Trading Links:
Posted at 04:37 PM in Business, Current Affairs, Film, Gadgets, Games, Ideas, Just for Fun, Market Commentary, Science, Sports, Television, Trading, Trading Tools, Web/Tech | Permalink | Comments (0)
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