
Founder @definiteapp (a data team that never sleeps)
Philadelphia, PA
Joined January 2018
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The average company buys Snowflake, then Fivetran, then a BI tool, then spends 6 months connecting them. We spin it all up in 30 seconds.
1. it's a cool word that shifts a little attention away from their blunder
2. it's an assumption of what the stolen keys will be used for
I've heard this story multiple times and I've never been satisfied with the answer, so I had claude make this.
one key point that was never clear to me:
when Pizarro first captures Atahualpa, the thousands of Inca surrounding Atahualpa are not soldiers, they are servants (e.g. "sweepers").
New episode with military historian Si Sheppard.
The conquests of the Aztec and Inca empires might be the most shocking events in human history.
Hernan Cortés and some hundreds of Conquistadors landed on a new continent they knew basically nothing about, and within 2 and a half years, conquered the 6 million strong Aztec empire.
Then, a decade later, Francisco Pizarro did the same thing to an Incan Empire of some 10 million inhabitants.
In both cases, the Conquistadors consistently beat native armies while being literally 100x (or even in some cases 1000x) outnumbered - and in many cases, did so without taking a single casualty.
And they did this with 99% of their military forces being made up of the very natives they were trying to subjugate.
We often forget how wild human history is. People talk about AI takeover as if it would be some crazy, unprecedented sci-fi outcome. But this would not be the first time an alien force whose motives the defenders barely understand use more advanced technology and diplomatic cunning to outmaneuver and then take over a much larger and long established existing order.
0:00:00 – Cortés’s conquest of the Aztecs
0:22:39 – Pizarro’s conquest of the Inca
0:26:59 – Explaining Conquistador military superiority
0:34:39 – Could the natives have beat the Conquistadors?
0:48:56 – The Aztecs and Incas did not learn from each other
0:56:11 – Why Spain still lost in the long run
1:07:47 – Why didn’t the Aztecs/Incas adapt better to European warfare?
1:14:16 – Conquistador motivation
1:26:22 – Why Mughal India also couldn't play the Europeans off each other
1:33:42 – Diplomacy was just as important as technology
amazon makes $20B a quarter in ad revenue
it's ~half an AWS for them
bots could click on ads, but that's not what ad buyers are paying for today
Replying to @mholt6
I’d be willing to bet Amazon makes more money when you use the app.
Grocery stores make more money when you walk the cash wrap.
Airlines make more money when they scare you into buying insurance.
Dark design patterns and consumer usage data make money. They don’t want to give that up for some chat bot deciding what the cheapest red shoes are
the comments on this are so bizarre until you finally find the people that used "paid partnership" honestly
I led engineering at Google DeepMind.
Today, I'm proud to introduce Fo to give personal AI something no lab ever has... Humans.
Other personal AI's pretend AI can do everything. Fo employs humans to do tasks that AI cannot.
- 2x better at real-world task completion (beats other agents by 69%)
- 94% trust rate (4x less likely to leak private info vs Muse, Instinct)
Sign up for free: wajo.ai/join-wajo
I'd guess this costs at least $5 per month between the VM and tokens with very few people paying.
compared to an instagram user that costs < $0.50 per month and instantly prints ad dollars.
I’ve seen a couple of posts about this so wanted to demystify. Today, every Muse user gets a free computer in the cloud. It's a real computer, and we’ve designed the security architecture of the Muse Secure VM carefully so you and your Muse can do almost anything you could with a computer sitting under your desk while keeping you and the system safe from threats like prompt injection. We wrote about this at length in our security blog post – security.muse.ai. Activity in the “runtime cell”, which you share with your Muse is unfettered, but sensitive actions are all overseen by the Sentinel, which runs outside of that cell. Similarly, all sensitive secrets - like the passwords you enter into Muse’s secure credential storage - are also stored outside the runtime cell.
The runtime cell gets its own root filesystem (including a full Ubuntu linux image) separate from the host filesystem where your other more sensitive data lives. Because it is isolated from the sensitive stuff that runs on the same box, this means that we can, and do, offer users full visibility and control over the files in the runtime cell. Just as you can when you install Linux on your home computer, you can poke around and see all the files that make the system work - both debian system files and the binaries and data files that implement the parts of Muse which run in the runtime cell.
This was a very deliberate choice - your Muse Secure VM truly is your own computer in the cloud. You can install software in it, write and compile code, use the browser to surf the web: it is your own Linux box that you can operate as you choose with your Muse. Poking around in this computer doesn't give you any privileged access to Meta infrastructure, or to other people's data
If I may geek out a little here for a second… As a kid I loved to take things apart to see how they worked. As a teenager I got into computers and soon found myself drawn to C:\WINDOWS\SYSTEM and the system registry, later Slackware’s /dev/, /proc/ etc – I could see how the system was laid out and as I explored what DLL files and .so files actually did, I gradually became able to meld the computer to my own will.
We’re really proud to be able to put a real computer in millions of people’s hands with a similar level of transparency. We built a file explorer right into the Library tab of the UI. We want you to be able to see the markdown files Muse writes while it thinks about how to serve you better, and explore the internals of the system if you’d like to.
So, when you ask your Muse to show you its entire filesystem, and receive gigabytes of files you’re seeing the full contents of the runtime cell. It’s yours to explore and enjoy!
If you’re not a geek like me, or simply want to download the data that you personally have created directly with your Muse, we added a feature for that too in Settings > Data controls > Download your agent data.
this is cool, but 95% of jev demos ignore the existence of agents.
if you needed to fill this form in, saying "find my resume and fill this in" to an agent is enough to get the job done without a specialized tool
what if copy/paste was smart?
powered by @typesafeai jev
it feels like every computer interaction will get rewritten
this is exactly what happened with Mintlify for us.
I had 25% of my Claude max leftover on Friday night, I got an email from them saying they were increasing prices, so I replaced it in ~12 hours with about 25 minutes of actual effort.
This is cool, but I think too late.
People are already used to getting *exactly* what they want from an agent.
e.g. in @definiteapp we often see people take pictures of a sketch on a piece of paper or a screenshot from a few other tools (Stripe + Excel).
Our agent has templates to start from, but ultimately writes a react app to give the user what they want. It'd be hard to get that experience in a framework like this.
We’re open sourcing dbt Charts.
Build interactive dashboards in YAML, keep them alongside your dbt models in Git, and give humans + agents the same development workflow.
See what we’re building and learn more at #dbtSummit: dbtcharts.com/blog/charts-bu…
Looks like @bot just pushed a partial reset? I was near 100% weekly usage and now at 47%.
Not complaining! Just wondering what happened.
🤖 Made with AI
GrokBot is pretty good. I got access via my Cursor account for $1,152/year, so $96 per month.
You get a 8cpu, 16gb machine baked in, which would cost over $100 per month on AWS.
Not to mention ~3.4 billion or so tokens per month.
I'm not going to care about open models until some blend of the below becomes true:
1. the labs stop offering max plans
2. really smart open models can easily be run on my mac
3. TPS (token per second) AND intelligence are gpt5.6 level
on #1, it's nearly impossible for me to run out of codex tokens right now (I have 4 resets banked) and Fable 5 seems to be sticking around for the forseable future.
I have virtually unlimited token usage for $400 a month, so open models being cheaper doesn't matter to me.
on 2 and 3, benchmarks are showing some of the open models at around opus4.8 levels, which is incredible!
But running them locally at anywhere near the TPS of cloud inference is far off. I can run a smaller (dumber) open model locally and get good TPS, but see #1, whats the point?
this is really one hell of a pitch:
✅ I'm too drunk to drive + homeless
✅ I *might* exceed very low expectations
✅ You should expect the law to be involved
perfect timing on this, was just looking for a clean, long running task to burn the rest of my Fable credits. Looks like we'll be replacing Mintlify.


















