Essays are my long-form writing about AI research and product building. They sometimes appear in my Newsletter.

If you are interested in my tinkering, see the Experiments section.

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Publishing Tips for Free Radicals and Other Creatives

Many folks interested in AI research may not have the luxuries of working at a top research lab or a tier-1 academic lab. Perhaps you are in a grad school with an advisor who is not meeting with you often (famous professor problem), or you are a researcher in a small school or startup without much “community” for meaningful feedback, or you are a lone warrior with no pedigree to show other than good hacking skills, and a couple of GPUs in your rig. If you identify with this class, have a strong interest in participating in science discourse, and wonder how to write a paper for fun, I am writing this essay for you.

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The Data Center is the New VC

The Data Center is the New VC

The recent Inflection AI fundraising news confirmed a hypothesis I had a while: for modern AI startups, the “data center is the new VC firm”. Why just rent out your silicon when you can have a nice slice of the equity?

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What if Transformer is all we need?

What if Transformer is all we need?

Imagine a future where Transformers become all that we need. What would that future look like? If you are a builder, a product person, or an investor, you might want to pay attention to this.

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Older Essays

What is AI Automation, and what it isn’t?

What is AI Automation, and what it isn’t?

AI automation is not a dualistic experience. One of the dangers of the hype over-attributing capabilities of a system is, we lose sight of the fact that automation is a continuum as opposed to a discrete state. In addition to stoking irrational fears about automation, this kind of thinking also throws out of the window any exciting partial-automation possibilities (and products) that lie on the spectrum.

Reputation Risk and Personal Growth

Reputation Risk and Personal Growth

I have been exploring DeFi, and what’s now broadly called Web3, for a while now. It’s difficult to describe my impressions fully, but as an AI researcher, I can see a 2010 deep learning-like tech wave happening all over again, but in entirely unrelated technologies.

Discipline is Overrated

Discipline is Overrated

I advise a few founders and one general product heuristic seems to surface over and over:   Any aspect of your work or life requiring "discipline" is usually a sign of a tooling gap or an automation gap. Many of these gaps are product/startup opportunities...

Teach Don’t Document

Teach Don’t Document

With Machine Learning increasingly looking like a software engineering discipline, and a new library coming out every other week, developers have little patience to spend months mastering terse documentation before doing something useful. How then do you capture the mind share of the talent who will go on to evangelize your precious framework or library in their workplaces?

GPT-3’s Turk Gambit, AI Hype & Safety

GPT-3’s Turk Gambit, AI Hype & Safety

Customers mislead into believing these hyped up capabilities could potentially endanger themselves and others due to misplaced trust. As AI models become easier to use (as GPT-3’s few-shot examples promise), folks building with AI models will increasingly not be AI experts who designed those models.

The Twelve Truths of Machine Learning for the Real World

Last month I gave an informal talk to an intimate gathering of friends with this title that I am putting down in words. This post is mainly for people who are using machine learning to build something as opposed to people who are working on machine learning for its...

The Doers and The Clarion Callers

The Doers and The Clarion Callers

There is an unnecessary drama unfolding on Twitter on “the war” between connectionists and symbolists. This drama is absurd and perpetuated by people whose relevance exists only in the discussion of the “difference” and the “war.”