Joseph Catanzarite

SETI Data Scientist, NASA Kepler Science Office |

Project Staff Scientist, NASA Exoplanet Exploration Program |

Physics&Astronomy Instructor, Cypress College

[Joseph Catanzarite @jcatanz]

@SaltyGoat17 Ridiculous bullsh!t. This country was built by immigrants. Were the folks on the Mayflower “legal”? Let me answer that for ya: They were immigrants, just like the people you hate and want to hurt and punish. Only difference between you and them is they were *real* Christians.

[Jacob Coxon @hilbertspaess]

I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.

[adaption @adaption_ai]

New research from @sudip_r0y and @dhruvrnaik.

Harness optimization moved criterion pass rate from 67.10% to 85.92% on @harvey Legal Agent Benchmark. Post-training pushed it to 88.03%.

Owning your intelligence means improving the model and the harness around it.

[Anatoli Kopadze @AnatoliKopadze]

instead of watching 2 hours of Netflix tonight, watch this Stanford lecture given by Anthropic engineers

it's the clearest explanation I've seen of how AI agents actually work

useful whether you've never touched AI in your life or have been building with it every day

i took the key ideas and turned them into a practical guide, with ready-to-copy prompts

watch it, then read the guide below on the easiest way to build your own AI agent team that improves itself over time

[James Tate @JamesTate121]

Step 1: Remove filters in Reflecting Pool because Obama put them in.
Step 2: Give your criminal neighbor who runs "Greenwater Services" a $20 million no-bid contract to paint the pool.
Step 3: Fill the pool with water from the Potomac River, the phosphates from which cause algae blooms.
Step 4: Freshly sealed pool and extreme heat result in a super scum event
Step 5: Direct National Park Service to dump hydrogen peroxide into the pool which causes the paint to peel.
Step 5: Deploy US National Guard to stop people from taking photos of the swamp as a perfect metaphor for the administration.
Step 6: Blame someone else.

[Suzie rizzio @Suzierizzo1]

These are all programs that Trump has cut funding for and I’m curious where all this money went! Why aren’t we asking questions. Why isn’t Congress asking questions! 🤬

[ClaudeDevs @ClaudeDevs]

How do you keep Claude working until the job is done? Claude Code helps with this in a few ways, including one we shipped recently: /goal.

[Brian Krassenstein @krassenstein]

INCREDIBLE!

Washington Post journalist Hannah Natanson who had Trump’s FBI raid her home and take her phones and laptops, just won the Pulitzer Prize with the Washington Post.

Congrats!!

[Joseph Catanzarite @jcatanz]

MTG speaks out

[James Tate @JamesTate121]

BREAKING NEWS 🆘The daughter of U.S. Republican Senator Jay Block: 🆘

"Israel pays money to my father, and he spreads propaganda.

I am deeply ashamed of this situation. I believe my father has sold his soul to the devil.

I hope his career ends!"

[Andrej Karpathy @karpathy]

Fireside chat at Sequoia Ascent 2026 from a ~week ago. Some highlights:

The first theme I tried to push on is that LLMs are about a lot more than just speeding up what existed before (e.g. coding). Three examples of new horizons:

1. menugen: an app that can be fully engulfed by LLMs, with no classical code needed: input an image, output an image and an LLM can natively do the thing.
2. install .md skills instead of install .sh scripts. Why create a complex Software 1.0 bash script for e.g. installing a piece of software if you can write the installation out in words and say "just show this to your LLM". The LLM is an advanced interpreter of English and can intelligently target installation to your setup, debug everything inline, etc.
3. LLM knowledge bases as an example of something that was *impossible* with classical code because it's computation over unstructured data (knowledge) from arbitrary sources and in arbitrary formats, including simply text articles etc.

I pushed on these because in every new paradigm change, the obvious things are always in the realm of speeding up or somehow improving what existed, but here we have examples of functionality that either suddenly perhaps shouldn't even exist (1,2), or was fundamentally not possible before (3).

The second (ongoing) theme is trying to explain the pattern of jaggedness in LLMs. How it can be true that a single artifact will simultaneously 1) coherently refactor a 100,000-line code base *and* 2) tell you to walk to the car wash to wash your car. I previously wrote about the source of this as having to do with verifiability of a domain, here I expand on this as having to also do with economics because revenue/TAM dictates what the frontier labs choose to package into training data distributions during RL. You're either in the data distribution (on the rails of the RL circuits) and flying or you're off-roading in the jungle with a machete, in relative terms. Still not 100% satisfied with this, but it's an ongoing struggle to build an accurate model of LLM capabilities if you wish to practically take advantage of their power while avoiding their pitfalls, which brings me to...

Last theme is the agent-native economy. The decomposition of products and services into sensors, actuators and logic (split up across all of 1.0/2.0/3.0 computing paradigms), how we can make information maximally legible to LLMs, some words on the quickly emerging agentic engineering and its skill set, related hiring practices, etc., possibly even hints/dreams of fully neural computing handling the vast majority of computation with some help from (classical) CPU coprocessors.

[Joseph Catanzarite @jcatanz]

An observant Musl!m is a thousand times better than a fake “chr!stian” who literally follows and worships the Ant!-Chr!st.

[Polymarket @Polymarket]

BREAKING: Democrats projected to seize control of both chambers of Congress this November.

[Clownitics™️ ❤️💙🤡💙❤️ @Clownitics]

@RepYassAnsari Yes! ✅⏰

[Congresswoman Yassamin Ansari @RepYassAnsari]

Trump is escalating a devastating, illegal war, threatening massive war crimes and targeting civilian infrastructure in Iran. In the last 48 hours alone, the rhetoric has crossed every line. Pete Hegseth is complicit.

I’ve called for the 25th Amendment and am introducing Articles of Impeachment against Hegseth.