FedNow may have sparked some real time urgency but institutions may still be stuck in the "receive only" phase. Cloud could help.
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How sales and marketing teams can tap into AI to predict pricing pushback. A priority of Future Nexus, like many...
AI GPT, is known for its "generative" attributes, but the transformer model underlying its evolution could make the biggest impact.
Instead, we are going to tap again into a new development in Art and Neural Networks as a metaphor of where AI progress sits today, and what is feasible in the years to come. For our 2019 “initiation” on this topic with foundational concepts, see here. Today, let’s talk about OpenAI’s CLIP model, connecting natural language inputs with image search navigation, and the generative neural art models like VQ-GAN.
Compared to GPT-3, which is really good at generating language, CLIP is really good at associating language with images through adjacent categories, rather than by training on an entire image data set.
I presented earlier this week at the Ally Invest virtual conference, and the prompt asked for a description of what happens to finance from Fintech to Crypto / Blockchain to Augmented Reality / Virtual Worlds and finally to Artificial Intelligence.
However, mastery is not immune to automation. As a profession, portraiture melted away with the invention of the Camera, which in turn became commoditized and eventually digitized. The value-add from painting had to shift to things the camera did *not* do. As a result, many artists shifted from chasing realism to capturing emotion (e.g., Impressionism), or to the fantastical (e.g., Surrealism), or to non-representative abstraction (e.g., Expressionism) of the 20th century. The use of the replacement technology, the camera, also became artistic -- take for example the emotional range of Fashion or Celebrity photography (e.g., Madonna as the Mona Lisa). The skill of manipulating the camera into making art, rather than mere illustration, became a rare craft as well -- see the great work of Annie Leibovitz.
This week Isabelle sat down with Hummingbird's Joe Robinson to talk about. the development of GenerativeAI and ChatGPT.
In the long take this week, I try out a contrarian point of view on personal finance chatbots. Trim, a savings chatbot, just withdrew support from Facebook Messenger. While lots of other chatbots are still invested in conversational banking, what could we take away from the counterfactual of chatbots failing to get B2C traction? What is the impact on the rest of the platform wars waged by Amazon, Google, and Tesla for connected homes, cars, and the Internet of Things?
In this episode, we connect with serial founder Ohad Samet, CEO of TrueAccord. Ohad has been working in fintech machine learning for a decade and a half, applying multi-dimensional mathematics to consumer finance. The result? A more empathetic approach to the traditionally gnarly problem of debt collection.
This week, we look at:
Deep Fakes behind South Park creators' new parody, Sassy Justice
The AI-created author of the fake Hunter Biden intelligence report
GPT-3 winning the love and attention of people on Hacker News
How should we react to these robots and their desire to mess with our minds
Unlike equities, the crypto markets were born from machines, and are constructed from code. Hold dear the tokens in which you believe, and stay away from the stories of easy money. Nothing is easy. To win Russian roulette is not good fortune. It is, instead, a grave mistake to play a lethal game. Have you nothing to lose?
And then Brexit. And then Taiwan and China. And then Covid, again. And then, who knows.
From now on and forever, your counterparty is the data center running an AI cluster on top of the Internet. The data center that has already profiled you and knows everything about you. Bring the tinfoil hat.