Staff Software Engineer - Just a ghost in the machine 👻 . 🧑‍🚀 High Agency Individual.

Alpharetta, GA
Joined April 2011
Here's a new AI app stack you can dive into this week. File systems coupled with LLMs become a powerful backend for apps. @Box ran a hackathon with @awscloud and challenged hackers to explore this new concept. I came out of this hackathon inspired and fired up for whats possible with this new stack. Read about it here 👇
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The countdown to BoxWorks is on, and we can’t wait to bring this community together again. Join the brightest minds in Content + AI November 5–6 in San Francisco for keynotes, hands-on demos, and partner solutions in the AI innovation showcase. Connect with fellow builders and explore how business content can power your next AI workflow. Bring your questions, and leave with ideas to put to work. Register: boxworks.box.com/series/boxw…
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Josh
@joshmandersOct 15
Linus is unfathomably based. Forever bullish on Linux.
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They did it. They made a Muse open weights model, which is a huge step forward for OSS in the US. This is going to further accelerate AI diffusion because enterprises will be able to mix and match frontier performance for orchestration and high end tasks, while being able to have low cost and tailored post trained models for repeatable workflows. Overall this dramatically increases token consumption and workloads across the stack. Great to see Meta doing this.
1/ muse spark open is the most capable US open-weight model to date. 816B total params, 42B active. 1M-token context. natively multimodal. built for coding and agentic work like long-horizon tasks, hard software engineering, multi-step reasoning. america! 🇺🇲
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Replying to @hassanrahim
they're trying to cut open the bird to find the song
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Fortnite is coming to Linux!! We are already working with the folks at @EpicGames to ensure that @Omarchy is ready on day one with all the security requirements. Amazing what's possible when you nag @TimSweeneyEpic for years 😂 store.epicgames.com/news/epi…
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it's crazy how easy it is to spot 10x engineers these days for a certain set of people LLMs totally unlocked their potential to the point where imagining their life before this seems totally depressing
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Cyber is going to be one of the biggest spaces for AI agents in the future. Obviously the risks of software exploits and the attack surface area increases 100 fold due to the ability for agents to work through any crack to find what they’re looking for. But this goes the other way as well. The ability to have agent swarms review every line of code, test any number of permutations of exploits, and research any incident faster than humans as they happen, will be a huge boost in how we secure systems in the future. Cyber has always been a category where it’s hard to keep up with (and triage) all the incoming risks, alerts, and changes in the enterprise and across all system. You can never hire enough people or work through the backlog of all known risks. Agents actually give you a chance finally to have far better coverage of this. This is going to be a huge opportunity as well because we’ll see plays at the labs, data providers, the layer of the network and firewall, identity, devices and endpoints, SDLC, and even how we protect our data in the enterprise. Lots of interesting dimensions to cyber at the moment.
6 days and $40,000 of compute with GPT-5.6 Sol to find a critical vulnerability in Chrome, claiming Google’s first full-chain reward in 2026 for a vulnerability that would affect an estimated 1 billion users. Highlights the opportunity for defenders to utilize these tools to secure their software to unprecedented levels:
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Introducing TrellisWM: The Fractal Window Manager for MacOS Its how the desktop should have always been. Download at TrellisWM.app
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What a crazy time in AI with Meta now jumping fully into the frontier. Now that there are multiple players pushing the state of the art, this is going to lead to a further acceleration of advances, as well as the lowering cost of tokens for even the highest levels of capability.
Introducing Muse Wonder, our new family of frontier models with state of the art performance for personal and professional agentic work.
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NEW: I sat down w/ Perplexity Founder & CEO Aravind Srinivas (@AravSrinivas) on why AI-native SMBs could drive the next American millionaire economic boom. @perplexity_ai, valued at ~$20B with ~$2B in reported funding, $750M in annualized revenue as of August, seeing 5x YoY revenue growth as it expands from search into autonomous agents. One example Aravind shared is a single-person company generating $3M in annual revenue while spending over $1M a year on Perplexity Computer. His thesis is that AI could fundamentally change the economics of building a business. Smaller teams, less capital, higher productivity, & entirely new business models. At the infrastructure layer, Aravind sees a shift toward local & hybrid inference, with AI agents operating across personal devices and the cloud. As context windows expand and workloads become more personalized, local compute becomes increasingly cost-competitive, while offering greater privacy, control & data sovereignty. We cover: › Why SMBs could become a major driver of US GDP growth › The shift from AI models to agents & recursive economics › Why Perplexity is betting on your Mac instead of building data centers › NVIDIA, Apple Silicon, local inference & sovereign AI › Why writing code is no longer the bottleneck, but problem-solving is 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Aravind Srinivas, Co-founder & CEO of Perplexity (01:30) Why Perplexity's brand is built on curiosity (04:47) Every great invention starts with one question (08:18) How to build a $1T company in America alone (12:36) The next big companies will be tiny (13:45) Is the American dream still alive? (16:28) Stop blaming users for bad prompts (22:55) How Perplexity quietly grew 5x (26:51) The solopreneur spending $1M a year on Perplexity (28:28) "We don't have competitors, we have contributors" (29:20) The data center is coming to your laptop (34:32) Orchestrating up with NVIDIA, down with Apple (36:11) What happens when your AI agent knows everything (39:17) Why Perplexity is skipping the data center race (41:25) Stop asking AI to write code, ask it to think (45:47) Perplexity’s answer to AI security (48:27) The Hugging Face incident & multi-agent threats (50:45) Turning everyone into a scientist (53:31) Why Perplexity isn’t chasing a billion users
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I love when I make something people enjoy.
Replying to @pkuhar
I got mine this week and I think @Apple should acquire you. It's one of the best products, at the best time, ever. I can't believe more people don't know about it. Congratulations on your work, bro.
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🗞️ if your team is too busy doing their 'normal job' to experiment with AI, you're preparing them to be replaced ghuntley.com/replaced/ In this post, I guess this's the last time I'll say it. AI use is no longer optional if you wish to be employed. What follows is advice for current employees and hiring managers on how to hire in 2026 to source AI-first candidates.
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consider that your bottleneck in getting to the next level... may actually be allowing yourself to put out messy work... to play and discover more variance
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Good post to start thinking through the long term safety approaches to managing intelligence in an enterprise. As agents begin to do vastly more task execution in the organization than humans, our need to secure, govern, control, and audit that work will become paramount. You’ll have agents operating against most of your most valuable data; they’ll be making decisions that will be harder and harder to reverse engineer; we’ll need to understand the liability and accountability regimes when models make decisions for us; and we need ways of containing the blast radius of accidentally or intentionally malicious agents. “Treating frontier closed and open weight models like insider risks is a way to build such a system. Not because they are necessarily malicious, but because any sufficiently capable actor with access to important systems can make mistakes or be compromised, and the architecture of containment and control must account for that” In a sense, AI will need to have its “zero trust” era that security saw. And all of this leads to needing various layers of protection and auditability of what agents are doing, what data they can work with, and controls for when things go wrong. And a huge opportunity right now for those building such systems across the enterprise.
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Why are AI/infra companies buying JS runtimes? Agents need somewhere fast, safe and boring to execute code: 🕐 cold starts in ms 🔐 sandboxing by default 🔋 one binary, batteries included If your pitch to devs is "run your agents on us", you better own the runtime experience.
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I got a lot of pushback for saying that one product manager and one engineer can now be the entire team. Now @danshipper has a name for it: the pirate and the architect. I ain’t crazy after all. :-)
Tired: Two-pizza teams Wired: Two-slice teams @danshipper on the best team structure in the AI-era
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JUST IN: Former SpaceX engineers raised $100M to build self-driving electric freight trains. Parallel Systems puts batteries and motors directly under shipping containers, letting them move without a traditional locomotive. -Travels up to 500 miles on a charge -Recharges in as little as one hour -Vehicles automatically form and split apart into groups -Works with standard shipping containers -Designed to make shorter rail routes competitive with trucks Parallel is already testing the system across 160 miles of railroad in Georgia.
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Earlier this week, I shared a rare John Collison (@collision) interview (w/o a Guinness) He revealed his biggest lesson from building Stripe into a $159B company, processing $1.9T in 2025, over the last 17 years:
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ai has massively accelerated how obvious this is all these different roles are compressing into just one be useful, that's it
specialization is for insects
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