Staff Software Engineer - Just a ghost in the machine 👻 . 🧑🚀 High Agency Individual.
Alpharetta, GA
Joined April 2011
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- Following1.2K
- Followers979
- Likes4.6K
mick retweeted
😂 Everyone rediscovering commercial software development from first principles xitter.cf/hustle_fred/status/211…
4 months ago I cloned Airtable for a client in 5 days because they refused to pay Airtable $500/mo
months later, I’m still maintaining it
every two weeks it’s another edge case, a UI tweak, or a "quick 10-minute request." They’ve easily spent 10x more in headaches than the $2,000 they would’ve paid Airtable
just proving that SaaS isn't dead. Cloning isn't enough, if you want it to be same quality as original it becomes a full time job
and at this point isn't it easier to just pay?
mick retweeted
Any form of security through obscurity is fully over. This barely worked as a method with humans, but just simply is over in a world of autonomous systems that will look through every crevice and try every permutation of attack possible.
As a result, years and years of legacy enterprise infrastructure will need to be upgraded, security practices modernized, data pipelines cleaned up, access controls better managed, and much more. Agents will help on the defensive side because they can both accelerate this work and equally simulate the risk vectors.
But there’s a long road ahead to prepare for this future. This is also partially why diffusion timelines will take longer than some realize.
mick retweeted
We're proud to be featured in @OpenAI's Decisions API launch.
Enterprise AI gets useful when understanding a document leads to action. Our work with Box Extract and the Decisions API explores that fast-decision layer, turning document understanding into an automated workflow. Routine work automated, lower-confidence cases sent to reviewers.
mick retweeted
when the cybersecurity team finds out there are actual vulnerabilities and they have to do their jobs instead of trying to trick someone into clicking a phishing email
mick retweeted
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 👇
mick retweeted
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…
mick retweeted
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.
mick retweeted
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…
mick retweeted
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:
mick retweeted
Introducing TrellisWM:
The Fractal Window Manager for MacOS
Its how the desktop should have always been.
Download at
TrellisWM.app
mick retweeted
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.
mick retweeted
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
mick retweeted
I love when I make something people enjoy.
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.
mick retweeted
🗞️ 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.
mick retweeted
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.
