ab117

Because there's so much merit in killing mentally unstable unarmed homeless Black men tossed aside by white capitalism.

Shark Tank Billionaire Kevin O'leary says 2 people fighting data centers in Utah are Chinese agents. Turns out its just 2 local girls in Utah, they make a hilarious video calling him the fuck out

@_thinking_reed @lutfi_gr @kepano The Terminal plugin is your friend. All OMZ shell configs right there inside Obsidian as if i opened a terminal app on desktop.

@lutfi_gr @kepano x.com/_thinking_reed…

random feature request it’ll be really nice if obsidian had a CLI built in I’m constantly having to jump between terminals to manage my obs. knowledge base. just saying… @kepano

What did they think was going to happen? 🤷🏿‍♂️

Imagine every pixel on your screen, streamed live directly from a model. No HTML, no layout engine, no code. Just exactly what you want to see. @eddiejiao_obj, @drewocarr and I built a prototype to see how this could actually work, and set out to make it real. We're calling it Flipbook. (1/5)

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.

@whitellm @omarsar0 That's an amazing workflow! You can probably automate this with opencode and a couple of agents. Maybe add in openclaw as a control surface so you can control the process from your phone.

Awesome, right scientists and doctors curate the documents on here. People with historic track record on the subject (and uncompromised) have been a great filter for inititial paper screening. I currently bookmark them and then once a week click the links and work them off manually by using droid to understand them, turn them into eli9 for easier consumption (this is key - to explain difficult concepts for non scientists to lower barrier to access). It would be amazing to drop these papers into a frontend and then have the system review them isolated and then come up with cross-paper opportunities. Covid and vaxx is such a complex negative flywheel of different mechanisms working together to create the bad outcome, that cross-paper agents would have a huge benefit. Currently it takes human creativity to build bridges of concepts / treatments etc. and a machine to do this in automode would bring real value.

arXiv Papers → LLM Artifacts This is how I keep up with AI research now. It's like having access to the most personalized arXiv feed. Automations run everyday to curate papers based a set of rules and insights. Curated papers are indexed and power the artifacts. Agent convert papers to LLM wikis (based on @karpathy idea), which means insights are indexed and easily searchable and reusable. I feel like LLM Artifacts is the natural evolution to LLM Wikis. It's about making that knowledge actionable. Artifacts are customizable via agents. Artifacts can interact with agents and are dynamic in nature. Anything can be injected into the artifact as needed (insights, components, suggested experiments, action items, etc). I can take action on Artifact items with my agent orchestrator (Electron app). So I can ask questions about any paper and automate experiments in the background right from within the artifact. This is more than a visual. It's not a single prompt. It's several proactive agents coordinating to surface interesting facts, knowledge, and insights that I can act on a researcher. Agents are not just for generating useful artifacts, they are useful to keep learning and staying on the cutting edge of knowledge. Stay tuned for more.

Bad. Ass.

@omarsar0 Damn this is killer AF. 😭😭😭

@trq212 Bro I already got 10 chat windows open and now you want me to have a dedicated html artifact page to accompany each chat? Will it hot reload as the chat is updated? 😭😭😭 What a world, what a world, what a world.

HTML is the new markdown. I've stopped writing markdown files for almost everything and switched to using Claude Code to generate HTML for me. This is why.

@GoodfireAI Sick.🤯

Neural networks might speak English, but they think in shapes. Understanding their rich *neural geometry* is key to understanding how they work – and to debugging and controlling them with precision. Starting today, we’re releasing a series of posts on this research agenda. 🧵

@Ike_Saul Is it the people or the training conducted by the company? People have historically been dumb but these companies and their researchers practically live by this idea of "intellectual merit" but yet build these products with flawed and harmful frameworks. OpenAI is at fault too.

We are in deep, deep trouble. A reader wrote in to me this week saying that they wouldn't read my Trump corruption story because ChatGPT "fact-checked the piece" and informed them most of it was false. Among other things, ChatGPT told them that there is no Iran war, Jared Kushner is not a negotiator in the war, Qatar never offered Trump a $400 million plane, George Santos wasn't pardoned, the NYTimes did not report on Syrian billionaires lobbying Trump for sanctions relief, Trump never launched a meme coin, and World Liberty Financial (the Trump family crypto firm) doesn't exist. Of course, all of these things ARE real, do exist, and are happening right now. Apparently, the reader copy and pasted the text of my story into ChatGPT, and without the links ChatGPT couldn't confirm any of it. Once the reader sent ChatGPT the link to the story, it ended up concluding all the facts were correct. How many people simply don't know how to use AI and are offloading all their thinking? It's a terrifying thought. And a totally new frontier of reality to navigate.

@TeddyTheCorg @micah_erfan Gotta take that national.

@micah_erfan lol

This is what the Texas Congressional map looks like, *right now*.

*billions

@NWSJacksonMS Excellent work

After further assessment, it has been determined that the previous 2 EF3 tornado tracks were one continuous long track tornado. Additionally, our survey teams confirmed an EF2 tornado just outside of Purvis.

This isn't in the trial phase. The entire China International Consumer Products Expo in Hainan, recently, used only these materials for signage, food containers, and more. This is getting scaled for mass use.

Dont be skurred.

was waiting for this to come out this is the only angle left to attack open source, it's going to be china fear mongering it's going to be extremely effective as well

@tatereeves What's good for the goose is good for gander buddyro.

I don’t typically make news on a Friday afternoon, but today I am going to make an exception: I’m calling a special session. During the recently completed regular session, the Legislature discussed drawing new maps to comply with a decision from a federal judge from the Northern District of Mississippi - a decision that has been appealed to the 5th Circuit and the appeal has been heretofore stayed pending future U.S. Supreme Court decisions. The entire world knows the Callais decision has not yet been handed down by the U.S. Supreme Court. It is a decision that could (and in my view should) forever change the way we draw electoral maps. It is my belief and federal law requires that the Mississippi Legislature be given the first opportunity to draw these maps. And the fact is, they haven’t had a fair opportunity to do that because of the pending Callais decision. For those reasons, I am using my constitutional authority to allow the Mississippi Legislature to use their constitutionally recognized right to draw these maps once the new rules of the game are known following Callais. It is my sincere hope that, in deciding Callais, the U.S. Supreme Court will reaffirm the animating principle that all Americans are created equal and that when the government classifies its citizens on the basis of race, even as a perceived remedy to right a wrong, it engages in the offensive and demeaning assumption that Americans of a particular race, because of their race, think alike and share the same interests and preferences – a concept that is odious to a free people whose institutions are founded upon the doctrine of equality. The special session will take place on the calendar day that falls 21 days after the U.S. Supreme Court issues the Callais decision.

so let me get this straight all of ai twitter was telling people to buy a mac mini to run openclaw, which is literally just a framework, an orchestration layer that sends api requests to actual ai models. something you can run on a $5/month vps. which is exactly what i do btw but when google drops gemma 4, an actual large language model that you can run and fine-tune locally on that same mac mini, with no api costs, no subscriptions, no third party dependencies, completely yours under apache 2.0 the ai community is silent you were buying $800 hardware to run a wrapper but ignoring the actual ai model that would justify that hardware this tells you everything you need to know about the average iq of ai twitter