Paco Nathan's Blog

Latent Space

Approximately 75 million voters in the US support having a civil war, where the far-right can settle the matter of having heteronormative male caucasian conservative christian nationalists rule over all. Put ten people in a room, and four of them want a war. What if they got their wish? How might we build AI weapons systems, regional volunteer forces, plus robust logistics networks to subdue the far-right secessionists?

https://derwen.ai/dl/latent
(free download provided by Derwen)

“It feels like someone asked Neal Stephenson, Robert Shea (The Illuminati Trilogy), Daniel Suàrez, and Martha Wells (Murderbot), Andy Kessler (Grumby) and Cory Doctorow to think about how a US civil war might happen, and what to do about it.” — Alistair Croll

A fuck-around-and-find-out whodunit tale of neo-noir gore and messy flip-the-script cli-fi about artificial intelligence, animism, national security liberals, insurrection, climate guilt, weaponized media, advanced mathematics, conspiracism, global cyberwar, overlapping polycrisis, and the strangest of bedfellows.

Our 2021 NLP Industry Survey report is informed by several important contrasts: organizations with years of history deploying NLP applications in production compared to those which are exploring NLP, responses from Technical Leaders versus general practitioners, and company size. We draw insights and indicate trends based on those contrasts - now available as a free download

In a Post-Moore's Law world, how do data science and data engineering need to change? This talk presents design patterns for idiomatic programming in Python so that hardware can optimize machine learning workflows. We look at ways of handling data that are either "sparse" or "dense" depending on the stage of ML workflow ��� plus, how to leverage profiling tools in Python to understand how to take advantage of hardware. We also consider four key abstractions which are outside of most programming ...

Many organizations have begun their journey toward adopting AI: they've built data science teams, launched projects, and so forth. Of course, not all of these initiatives have delivered. There's a noticeable gap between the 'haves' and 'have nots' as AI becomes a matter of competitive advantage. In this report, we promised that you���d learn how to operationalize AI���in other words, learn the important steps to develop a comprehensive understanding across your organization of how to build AI so...

Review: Metadata Day 2020

The Case for Knowledge Graphs: focus on knowledge graphs in government, plus updates about the KGC community

Respondents from over 50 countries, 25% in technical leadership, about NLP industry practices - now available as a free download