/AI

State of AI Report 2021

- Nathan Benaich Ian Hogarth tl;dr: "A compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future."

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Red Hot: The 2021 Machine Learning, AI and Data (MAD) Landscape

- Matt Turck tl;dr: Matt covers the macro view: making sense of the ecosystem’s complexity, financings, IPOs and M&A, a landscape of the ecosystem, key trends and more.

featured in #258


FSF-funded Call For White Papers On Philosophical And Legal Questions Around Copilot

- Donald Robertson tl;dr: The Free Software Foundation (FSF) views Copilot as "unacceptable and unjust" as it requires and is trained on software that is not free. In addition, there are other open questions notably around copyright infringement. The FSF is calling for white papers into a host of areas on this topic, listed here.

featured in #243


GitHub Copilot: First Impressions

- Vlad Iliescu tl;dr: The good - you don't have to write boilerplate code. The bad - it's inconsistent, so you need to be aware of it at all times. Vlad believes there is a big opportunity for non-programmers and will impact how we perform code reviews.

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Risk Assessment Of GitHub Copilot

tl;dr: The author is given access to the test phase of Copilot and asks the question - "how risky is it to allow an AI to write some or all of your code?"

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Your AI Pair Programmer

tl;dr: "Get suggestions for whole lines or entire functions right inside your editor."

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Language Models Like GPT-3 Could Herald A New Type Of Search Engine

- Will Douglas Heaven tl;dr: Google researchers have published a proposal that could change search. Instead of leveraging Pagerank - Google's search algorithm - the new interface would allow users to ask questions and have a language model trained on all pages and answer questions directly.

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Measuring Trends in Artificial Intelligence

tl;dr: AI investment in drug design and discovery increased significantly, more people are working in industrial roles, systems can compose text, audio, and images to a high standard that humans have a hard time telling the difference between "synthetic and non-synthetic outputs," and more.

featured in #228


Timnit Gebru’s Exit From Google Exposes a Crisis in AI

- Alex Hanna Meredith Whittaker tl;dr: Google's firing of Timnit Gebru shows that "corporate-funded research can never be divorced from the realities of power." AI will reinforce discrimination unless action is taken: (1) Tech workers need to unionize as a "key lever for change." (2) We need protection and funding for research. (3) Regulation.

featured in #220


DALL·E: Creating Images from Text

tl;dr: "We’ve trained a neural network called DALL·E that creates images from text captions for a wide range of concepts expressible in natural language."

featured in #220