Learnings & Musings on AI, ML, Data Science & Python

Listen Up ๐Ÿ”Š: Programming It Is a-Changinโ€™

Interesting vision of the future of programming, and one that feels very in line with AI. This episode feels like a companion piece to the podcast episode I shared in the last Listen Up post. Programming will move away from if-then (which ML engineering does) and start to be more about interacting with and interpreting data. Though provoking discussion of … Read More

Listen Up ๐Ÿ”Š: When AI Meets Experts ๐Ÿ‘ฉโ€๐Ÿ”ฌ๐Ÿ‘จโ€๐Ÿ”ฌ

Great episode of the TWIML+AI podcast on the use of AI in niches with significant domain expertise. The go-to example was creating new types of glass, like Gorilla Glass. Fields where AI can find novel solutions or expedite the R&D process while the human experts weigh in on what’s possible or has already been done. Especially love this quote from … Read More

How General is this Intelligence? ๐Ÿค”

This post is a great crash course in where we are with AI, how we got here, and what the future of Artificial General Intelligence looks like. ๐Ÿ”ฎ I generally think we’re a ways off. There are some really impressive examples of AI (like the standard AlphaGo and AlphaZero examples), but they also implode if the parameters of the task … Read More

Deepfakes: An Overview ๐Ÿ“ฝ

Real talk, Deepfakes terrify me. ๐Ÿ™€ The implications of fake video that looks real to the human eye has “dystopian sci-fi” written all over it. If you thought the last election was a circus, wait until the first Deepfakes election. ๐ŸŽช A few outcomes that come to mind: Political mudslinging reaches its zenith and societal upheaval follows in its wake … Read More

Explaining AI to Mom ๐Ÿ‘ต

Fear mongering and buzzword-y overuse/loosey-goosey usage have been hurting AI’s appeal with the broader population. Are there terrifying possibilities? Yes (I’m terrified of the implications of Deep Fakes). But guaranteeing dystopia is a disservice. It plays to the reptilian brain while we’re trying to recreate the higher level brain in silicon. ๐ŸฆŽ I agree with Bryan: Our thriving depends upon … Read More

Nvidia Takes it to the Cloud

Cloud and software providers are moving in on the chip game, so why shouldn’t a chip maker move in on the cloud game? Nvidia has announced that they’re combining 16 of their super AI friendly GPUs into high-performance computing clusters for cloud use. The new tech race is well underway and it is to become THE cloud platform for AI. … Read More

The Whole Will Be Greater Than the Sum of the Parts

I’m incredibly optimistic about the potential of human-machine teams, or centaurs. And not just because the name for them is cool and mythical. I think they make AI more immediately useful as the human can handle the intangible “soft skills” we’ve yet to figure out how to recreate in code and the machine can handle the crazy computation and pattern … Read More

Common Sense is Uncommon in AI

It seems like there is a two-party system developing in the AI-sphere: one argues for purposefully imbuing the systems with common sense, the other suggests that the cognitive abilities of human infants will eventually appear spontaneously in these models. Not quite sure how that last part works yet. I think the big difference between the two camps is the time … Read More

Facebook Chips in on Live Video

I’m starting to get obsessed with watching who is making a chip for what AI purpose these days. Facebook has announced they’re designing a chip to help with analysis and filtering of live-streaming video. Why? Two reasons: To minimize reliance on outside suppliers (here’s looking at you Intel) To avoid the embarrassing mistake of letting someone livestream their suicide or … Read More

Book Notes ๐Ÿ“š: Weapons of Math Destruction

Light Hearted Moment ๐Ÿ˜‚ The above is to offset a little of the doom-and-gloom that might follow. Also, it fits pretty well.I recently read Weapons of Math Destruction by Cathy O’Neil. It covers some of the concerns I’ve mentioned previously. What is a weapon of math destruction? ๐Ÿ’ฃ It’s basically an algorithm that utilizes Big Data at scale to cause … Read More