Chris Treadaway

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Chris Treadaway

Chris Treadaway

@ctreada

COO St Theresa Catholic Church/School, Grayline Group, Ex-MSFT, 4 startups. Loves: my family, innovation, hoops, Tigers, golf, adventure, & disruption

Austin, TX Katılım Mayıs 2007
2.9K Takip Edilen2.6K Takipçiler
Chris Treadaway
Chris Treadaway@ctreada·
Stitch with Google is a good start... but if you riff on an idea for too long, it will regress. My advice: be punchy and efficient. As the model accepts more context with time, I'm sure it will get better.
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Chris Treadaway
Chris Treadaway@ctreada·
Stitch with Google may very well need to be part of my tech stack going forward. Impressed so far!!
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Chris Treadaway
Chris Treadaway@ctreada·
TruTV is a massive execution fail. Can't upgrade on disney+, can't get an activation code in the TruTV app. If you're gonna hold people hostage, at least do it where they can upgrade...
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Elon Musk
Elon Musk@elonmusk·
@testerlabor There is special place I my heart for the C64 and especially VIC-20, my first ever computer. I stayed up for 3 days programming nonstop when I got it for the sheer love of coding.
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Testlabor
Testlabor@testerlabor·
Amazing Grok fact: Grok Supercomputer "Colossus 2 is equivalent in raw peak tensor performance to 14 quintillion Commodore C64 computers"
Testlabor tweet media
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Chris Treadaway
Chris Treadaway@ctreada·
@natellewellyn Would actually argue further that edtech is as bad as it is because it's been so out of favor among VCs. But that's changing rapidly I think.
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Chris Treadaway
Chris Treadaway@ctreada·
Wrapped up an AI-enhanced classroom for our 7th and 8th graders Friday - what an experience. humancode.st-theresa.org I'm a both/and kind of guy. The classroom can be made more productive with AI and shouldn't be entirely thrown out. Would love feedback from educators and innovators alike!
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Chris Treadaway
Chris Treadaway@ctreada·
@LoewyLawFirm Does anyone remember the last I dunno 5 elections where the D polls optimistically early, only to lose? Rs don't respond to your antiquated polling, for one.
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Chris Treadaway
Chris Treadaway@ctreada·
reframing from "artificial intelligence" to "the next phase of computing" makes a lot of sense
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Nate
Nate@natellewellyn·
I’m now using Claude enough between work and side-projects that I am running into daily usage limits on the $100/month plan. This presents a new goal for me: generate at least $200/month in side-project income to offset the full cost of Claude.
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Nate
Nate@natellewellyn·
I decided to mute a certain “education leader”. I think my timeline is going to be a lot better now without that noise. If you’re an education innovator, say hi!
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Chris Treadaway
Chris Treadaway@ctreada·
@data_atx they went way too far with pay increases if you look closely at the compensation table the last few years. and I'm not "anti-teacher" but they overcorrected without having the $ to pay for it.
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ATX data
ATX data@data_atx·
The AISD deficit is coming in 30 million higher than expected . They aren’t getting enough from property sales and school closures didn’t go far enough Superintendent says district is in a permanent and cascading contraction. Yikes
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Chris Treadaway
Chris Treadaway@ctreada·
great analogy actually.
Milk Road AI@MilkRoadAI

The CEO of a $95 billion company just said something that should TERRIFY every software executive on the planet. Patrick Collison, the man who built Stripe, went on TBPN last week and compared the entire software industry to frozen food. His words: "Software has been created years beforehand, freeze-dried, and then prepared at the moment of consumption." That era is ending. His new model for software? Pizza. Fresh pizza, made to order, right then and there. Exactly what you need, the moment you need it. That is the future Collison sees for all software. What does that actually mean? It means AI agents will build you custom software in real time. No subscriptions, bloated dashboards and one size fits all. Software cooked for you, that moment, then gone. This is already happening. Anthropic launched Claude Cowork in January. Within weeks, $2 trillion in software stocks evaporated. IBM had its worst trading day in 26 years, legalZoom dropped 20% and the entire SaaS sector is in freefall. They're calling it the SaaSpocalypse. The old software model was simple, spend millions building a product, sell it to everyone and collect subscriptions forever. Fixed cost, infinite monetization and winner takes all. That game created trillion dollar companies: Salesforce. Adobe, Oracle, Microsoft. Collison says that game is now breaking. Why? Because AI introduces real cost at every use. Inference costs, custom creation costs, every single interaction has a price tag. No more build once, sell forever and he called it the non-Walrasian software regime. Translation: The winner take all economics that built Big Software are collapsing. When every user gets custom software built on demand, there is no single winner. There are thousands of winners or none. Think about what this does to pricing. No more $50/seat/month or enterprise contracts worth millions. Instead, you pay per task, outcome and for what the AI actually built you. The entire revenue model of SaaS is being rewritten. Klarna already ripped out Salesforce and replaced it with AI. Cursor ditched its paid CMS and built a replacement from scratch. Companies are doing this now. The dominoes are falling. The entire industry is being rewritten in real time.

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Mark Manson
Mark Manson@Markmanson·
The last two months, every waking hour I'm either: 1) fucking around with AI, or 2) feeling like I'm wasting my time because I'm not fucking around with AI. Am I the only one?
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Chris Treadaway retweetledi
Stack Hodler
Stack Hodler@stackhodler·
Claude can't slice a 300 yard drive straight into the woods. I will never be fully replaced.
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Chris Treadaway
Chris Treadaway@ctreada·
Agree. I'm currently finding value in building code to my specific needs. Although, I do think the trend is that founders will find value in rewriting highly verticalized apps peddled by (pardon me here) crapware middlemen who profited from unsophisticated users tolerating them.
Balaji@balajis

PERSONAL PRIVATE PROGRAMMABLE I’ve been thinking more about the intersection of Claude Code and Obsidian. There is an upcoming tech stack here that I’m calling personal private programmable. Here’s a sketch of the idea. First, if you squint ahead a few months, we will likely have open weight AI models that work as well as Claude Code does today, and that can handle the context that Google Gemini does. We also already have many different kinds of file types that can be exported out of apps, from markdown files (like Obsidian) to git repos to mbox files (from email) to all the miscellaneous file types you store online or on disk. The open weight AI models can do a lot if they can see all these different data types at once. Finally, we have hundreds of millions of local crypto wallets, and scaled crypto name systems like ENS (Ethereum Name System) and SNS (Solana Name System). These give us tools for working with encrypted data, keys, and identity. So if you put all that together, the personal data becomes far more programmable (with local AI) and yet also more private (because it’s being computed on locally). And if you have a local crypto wallet, you can also encrypt some or all of your personal data and transmit it to another ENS/SNS name, such that you can collaborate with them in an end-to-end encrypted way. There are many networking details to be worked out regarding secure synchronization of packets between different ENS/SNS names across different machines, and you might need some kind of private cloud like Gitlab to really make it work depending on the application (because pure p2p is hard). Nevertheless, the Claude/Obsidian trend points at a powerful emerging concept where it’s now *better* to redecentralize and keep all your data local. Because local data is easier to encrypt with crypto and compute on with local AI. Thus: the personal becomes private and programmable.

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Chris Treadaway
Chris Treadaway@ctreada·
@jliemandt Does alpha publish its offerings and/or progress / stats for special needs like autism?
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Andrej Karpathy
Andrej Karpathy@karpathy·
It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December and basically work since - the models have significantly higher quality, long-term coherence and tenacity and they can power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow. Just to give an example, over the weekend I was building a local video analysis dashboard for the cameras of my home so I wrote: “Here is the local IP and username/password of my DGX Spark. Log in, set up ssh keys, set up vLLM, download and bench Qwen3-VL, set up a server endpoint to inference videos, a basic web ui dashboard, test everything, set it up with systemd, record memory notes for yourself and write up a markdown report for me”. The agent went off for ~30 minutes, ran into multiple issues, researched solutions online, resolved them one by one, wrote the code, tested it, debugged it, set up the services, and came back with the report and it was just done. I didn’t touch anything. All of this could easily have been a weekend project just 3 months ago but today it’s something you kick off and forget about for 30 minutes. As a result, programming is becoming unrecognizable. You’re not typing computer code into an editor like the way things were since computers were invented, that era is over. You're spinning up AI agents, giving them tasks *in English* and managing and reviewing their work in parallel. The biggest prize is in figuring out how you can keep ascending the layers of abstraction to set up long-running orchestrator Claws with all of the right tools, memory and instructions that productively manage multiple parallel Code instances for you. The leverage achievable via top tier "agentic engineering" feels very high right now. It’s not perfect, it needs high-level direction, judgement, taste, oversight, iteration and hints and ideas. It works a lot better in some scenarios than others (e.g. especially for tasks that are well-specified and where you can verify/test functionality). The key is to build intuition to decompose the task just right to hand off the parts that work and help out around the edges. But imo, this is nowhere near "business as usual" time in software.
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