Richard Hackathorn

PhD in business analytics. Ensuring that Deep Learning (AI) systems are manageable and responsible at scale, while "wandering in latent space".

[Richard Hackathorn @hackathorn]

The capstone project for Google 5-Day Agent Intense was a kick because I teamed with my son Eric Hackathorn on a "AI-for-Good" Zyra project to streamline workflow utilization of NOAA's massive scientific data sets.
https://t.co/4cGadCMcG4

[Richard Hackathorn @hackathorn]

I got my Kaggle certificate for the Google 5-Day Agent Intensive course and capstone project. I was impressed by Google's thoughtfulness in their Agent Developer Kit (ADK) towards enterprise-level agentic implementations.
https://t.co/odjmvZgysx

[Richard Hackathorn @hackathorn]

Interesting analyst briefing with Salesforce/Tableau on their evolving analytic semantic models. Nontrivial work to connect classic data semantics with 'GenAI ready' semantics so that humans and AI agents can properly collaborate. OpenAI, Google AI, & the like should take note.

[Richard Hackathorn @hackathorn]

Check out my latest article: Decision Support to Organizational Semantics... summarizes a journal paper on research issues for AI-assisted decision support in organizations.
https://t.co/oXkU6xKWBL via @LinkedIn

[Richard Hackathorn @hackathorn]

If the O-S community can not establish a standard quickly, then it is 'each to his/her own' legal wishes. Meanwhile, AI innovator (and consumer) beware! 😮

[Richard Hackathorn @hackathorn]

MIT Technology Review just posted insightful article on "Tech Industry Can't Agree on What Open-Source AI Means".
https://t.co/4SiyiqNulI

This has been bugging me for months: What does it mean? Does it matter? What are implications for “ethical, trustworthy, or responsible” AI?

[Richard Hackathorn @hackathorn]

I recommend study of excellent in-depth paper by Sarah West of AI Now Institute. https://t.co/qr4VbRjIBx
The article confirms the chaos reigning within the entire industry and concludes with slim hopes placed on OSI, RAIL, ImpACT Licenses, and Tidelift.

[Richard Hackathorn @hackathorn]

How do we prepare managers to properly use these AI capabilities? What will be the evolving role of the biz analyst? Will corporate IT become dependent on some proprietary LxM?

[Richard Hackathorn @hackathorn]

Listening to analyst briefing soon on Tableau Pulse. My question is how how will this new AI tech impact evolution of Biz Analytics over the coming years. A year ago, the OpenAI's humble dev demo (known as ChatGPT) shocked tech world and put this AI craziness on global display.

[Richard Hackathorn @hackathorn]

BUT... Can we apply AI tech reliably and safely to managing our complex organizations of today? What will be the infrastructure required? Same as current, or a total rewrite?

[Richard Hackathorn @hackathorn]

Had fun with ChatGPT4 analyzing MNIST images.
It FAILED to recognize images as 5-5-8, guessing 5-3-2. Did great on explaining overall analysis. "Image 3 is "2" b/c has a loop at base, which is not common in typical "2"s, and has straight slanting line descending from top loop."

[Richard Hackathorn @hackathorn]

Seriously, large corporations and governments still run core mission-critical COBOL applications. The need to adapt to constant changes implies this is a huge liability. Will this way be proper modernization of enterprise systems? Can resulting Java be popped into the cloud?

[Richard Hackathorn @hackathorn]

Blast from the past explodes into the future... IBM announces WatsonX Code Assistance for Z, which translates COBOL into Java using their code LLM.
Having spent years as a programmer on IBM360 MFT/MVT, I had a burst of emotions from humor to horror.
https://t.co/36FPLDKiOs

[Richard Hackathorn @hackathorn]

Best column for highly-current substantive technical coverage of LLMs. Excellent insights into LLaMA2. If you understand this column's implications, you are riding the #AI wave crest...
Ahead of AI #11: New Foundation Models, by @rasbt https://t.co/xgg5pYZ7u1

[Richard Hackathorn @hackathorn]

Fascinating #AI startups... Check out #TxtAI, an "all-in-one embeddings database" wrapping vector-indexing with useful services. Nice repo/docs with new Medium channel. Now, how to make hype-free money? https://t.co/Z2i2k6iDTX
https://t.co/lHUoWwArhq

[Richard Hackathorn @hackathorn]

IMPRESSIVE!!! If you really want to know the currently accepted facts (and its many mysteries) for the beginning and end of our Cosmos... I just backed ENCYCLOPAEDIA COSMOLOGICA (RELAUNCHED) on @Kickstarter https://t.co/6MIkxQ5OIZ

[Richard Hackathorn @hackathorn]

@BobbyAllyn By NYT suing OpenAI, it implies that the vineyard is content with selling its grape juice, even highly protective of that juice. However, it seems that most people would prefer the wine.

[Richard Hackathorn @hackathorn]

@BobbyAllyn Plus, the winery makes a special blend (fine-tunes LLM) for use by vineyard staff & clients (crafted value-add prompts). The possibilities here are huge.

[Richard Hackathorn @hackathorn]

VERY INFORMATIVE vis of social/political/economic impact of the Internet over 3 decades. Top 10 website. Note scale! Starts Jan-1993 with 20M views for world pop of 5.5B. Ends 29 years later with 80B views - 4000x usage with 49% pop growth. Wikipedia! ...start in Dec 2005.

[George Mack @george__mack]

2. The History Of The Internet

It's crazy how fast things have moved over the last 30 years.

Google's explosion is incredible when viewed in a historians frame.