Ryan Gury

"Drones are reshaping the geometry of the battlefield in real time and we must adjust." -Army Brig. Gen. Travis McIntosh PDW's C100 recently supported an exercise validating the 101st Airborne Division's ability to operate UAS in a kinetic, multi-domain setting and remain at the forefront of Army transformation efforts. Read the full @DeptofWar article in the comments.

A crosscut of the MFMD from the patent filing which can still be found on the Internet Archive. web.archive.org/web/2025062901…

Seems like Taiwan is seriously ramping its Chinese-input-free domestic drone production, from producing 10,000 in 2024 to exporting 123,000 in 2025. This feels like a small subplot today that could become a huge deal down the road.

Transformation happens in contact. PDW systems are shaped by real-world feedback and built to adapt as the mission shifts. See them at AUSA Global Force, Booth #1426.

NEW!! The US Army has sent 10,000 interceptor drones developed in Ukraine to the Middle East as it looks to repel Iranian attacks without using up high-cost missile defenses, according to Army Sec Dan Driscoll 👇 bloomberg.com/news/articles/…

So impressive.

Australian tech entrepreneur Paul Conyngham explains how he used ChatGPT/AlphaFold (spent $3,000 with no biology background) to create a custom MRNA vaccine to treat his dog’s cancer tumors. Unreal.

Was only a matter of time

this is actually insane > be tech guy in australia > adopt cancer riddled rescue dog, months to live > not_going_to_give_you_up.mp4 > pay $3,000 to sequence her tumor DNA > feed it to ChatGPT and AlphaFold > zero background in biology > identify mutated proteins, match them to drug targets > design a custom mRNA cancer vaccine from scratch > genomics professor is “gobsmacked” that some puppy lover did this on his own > need ethics approval to administer it > red tape takes longer than designing the vaccine > 3 months, finally approved > drive 10 hours to get rosie her first injection > tumor halves > coat gets glossy again > dog is alive and happy > professor: “if we can do this for a dog, why aren’t we rolling this out to humans?” one man with a chatbot, and $3,000 just outperformed the entire pharmaceutical discovery pipeline. we are going to cure so many diseases. I dont think people realize how good things are going to get

someone built an OPENSOURCE MILITARY RADAR that tracks multiple targets up to 20km away its called AERIS-10, full github repo schematics, PCB layouts, FPGA code, python GUI, everything under MIT license commercial phased array radar starts at $250,000. military surplus is $10,000-50,000 but its decades old analog junk with no electronic beam steering this does electronic beam steering at 10.5GHz, pulse compression, doppler processing, multi-target tracking on a real time map two versions: 3km range with patch antenna array, 20km range with 32x16 slotted waveguide array and GaN AMPLIFIERS custom frequency synthesizer, 16 front-end chips, FPGA doing all signal processing, GPS and IMU for ACCURATE target coordinates when the platform moves all gerber files included so you can order the PCBs and build it yourself one person built what defense contractors charge a quarter MILLION for and open sourced it

Mission-ready crisis response, airborne in under two minutes. Real-time situational awareness, communications support, and modular mission flexibility built for the front lines of public safety. Learn more at the link in the comments.

"This is Maven Smart System—Palantir’s software as a service product that we are deploying across the entire department."

i can't believe nobody caught this. Anthropic's entire growth marketing team was just ONE PERSON (for 10 months, confirmed) a single non-technical person ran paid search, paid social, app stores, email marketing, and SEO for the $380B company behind claude here's exactly how one human is doing the job of a full marketing team: it starts with a CSV. 1. he exports all his existing ads from his ad platforms along with their performance metrics (click-through rates, conversions, spend, etc) 2. feeds the whole file into claude code 3. and tells it to find what's underperforming. claude analyzes the data, flags the weak ads, and generates new copy variations on the spot this is where he gets clever: he then splits the work into 2 specialized sub-agents: 1. one that only writes headlines (capped at 30 characters) 2. and one that only writes descriptions (capped at 90 characters). each agent is tuned to its specific constraint so the quality is way higher than cramming both into a single prompt so now he's got hundreds of fresh headlines and descriptions. but that's just the text. he still needs the actual visual ad creative, the images and banners that go on facebook, google, etc. so he built a figma plugin that: 1. takes all those new headlines and descriptions 2. finds the ad templates in his figma files 3. and automatically swaps the copy into each one. up to 100 ready-to-publish ad variations generated at half a second per batch. what used to take hours of duplicating frames and copy-pasting text by hand so now the ads are live. the next question is which ones are actually working. for that he built an MCP server (basically a custom integration that lets claude talk directly to external tools) connected to the meta ads API. so he can ask claude things like: • "which ads had the best conversion rate this week" • or "where am i wasting spend" and get real answers from live campaign data without ever opening the meta ads dashboard and the part that ties it all together and closes the loop: he set up a memory system that logs every hypothesis and experiment result across ad iterations. so when he goes back to step one and generates the next batch of variations... claude automatically pulls in what worked and what didn't from all previous rounds. the system literally gets smarter every cycle. that kind of systematic experimentation across hundreds of ads would normally need a dedicated analytics person just to track the numbers from the doc: ad creation went from 2 hours to 15 minutes. 10x more creative output. and he's now testing more variations across more channels than most full marketing teams a $380 billion company. and their entire growth marketing operation (not GTM) = just one person and claude code lol truly unbelievable

@dim0kq 'gas' and 'pitch' increased so the operator was trying to move away the reason why it only cuts out when it's almost overhead is because it's shining a light on top a fiber optic cable, not through it light refraction is a thing, once it passed the normal line it was cooked

Modern weapons are increasingly built with consumer electronics • $80 computers • commercial cameras • 3D printed parts • open-source software The barrier to building weapons is collapsing The next superpower might not be the richest country It might be the best engineers

There’s a lot happening at #DF01 right now. New platforms, new vehicles, new opportunities.  If you like being part of something that’s moving forward with purpose, join us. Learn more and apply at the link in the comments.

Reminder

wow Anthropic just published a crazy report on AI replacing your job and er... you might want to look at this: - #1 most at-risk jobs are computer programmers, financial analysts (rip excel bros) and customer service - most at-risk workers are female, white, older and higher paid. - BUT high-risk jobs *aren't* firing employees... they've STOPPED HIRING. biggest victims: college graduates (4X more likely to be fucked) - entry-level hiring has dropped 14% since chatgpt launched (for highest risk jobs) - SAFEST jobs are... bartenders, dishwashers and lifeguards - any manual labour that AI can't automate (yet) this accounts for 30% of the job market. - this was the scariest part: AI models are capable of automating most work TODAY but are prevented because of law and slow company adoption. so its not even a fucking skill issue its an ADOPTION issue. - now its important to understand that the study is based on real world data but also 'theoretical' intelligence. so take it with a pinch of salt. some jobs (manual labor) didn't even meet min. data reqs i applaud anthropic on being so damn transparent - they're literally the company behind claude who will be responsible for these impacts studies like this will help us figure it the hell out. LOT of change coming this year.

I've heard rumors that Ingenuity was a modalAI stack, was that true?

these are the type of ads I get now