Here's the third installment of my 'Programmatic Advertising for the Uninitiated' series. Anyone can give a dry definition of an SSP or a DSP, but what about exploring the incentives (and disincentives!) that shape the behavior of the programmatic ecosystem?
#adtech #Programmatic #HeaderBidding #intro
https://t.co/O0j1Folsw6
@thedawgyg Wow, how long does it take for you to write a good job read report after that? For reference I do AI assisted bugs bounty often I spend 3-4 hours to write a single report.
Karpathy didn't make a course.
He made THE course.
3 hours. Free.
Tokenization. Attention. Hallucinations. Tool use. RLHF. DeepSeek. AlphaGo.
Every behavior you've ever wondered about in an LLM - where it comes from, why it exists, how it was engineered.
The gap between engineers who understand this and engineers who don't isn't technical depth.
It's the ability to conceive of entirely different things.
@pumfleet@calcom It's up to the maintainer to keep it open or closed source - thumbs up. I still believe that things will get better when using LLMs on the defensive side.
Anyone from my network who is using https://t.co/AlMhDtG82X or a similar service while operating a small digital business in Germany? I would like to have a chat :)
@brynary I personally would add to my projects as much as possible quality gates. The only thing where I have doubts is if this will really matter. I can only assume that a good architecture has a positive for agentic coding.
I've worked on Fabro for 30 days straight. I asked Claude to estimate the effort and cost.
> Compared to the $400k-$750k it would cost without AI, the actual cost of $62k-$108k represents an 80-85% reduction.
Sounds about right! (I'd ~2x tokens.)
https://t.co/foLvr5LUj5
Today I'm thrilled to open source what I've been working on...
Meet Fabro (https://t.co/2RfC11epWW), the dark software factory for small teams of expert engineers.
Fabro gets you out of the REPL (read-eval-prompt-loop) by layering deterministic workflow graphs over agent sessions. It's batteries included with cloud sandboxes, quality sign offs, multi-model ensembles, and Git checkpoints.
It's MIT licensed so you can fork and own your AI coding toolchain. Single Rust binary with zero deps.
I'd love to hear what you think!
I know Silicon Valley startups don't want to hear this.....
But the combination of someone in the trades with deep domain expertise and Claude Code will run circles around your generic software.
I talked to Cory LaChance this morning, a mechanical engineer in industrial piping construction in Houston. He normally works with chemical plants and refineries, but now he also works with the terminal
He reached out in a DM a few days ago and I was so fired up by his story, I asked him if we could record the conversation and share it.
He built a full application that industrial contractors are using every day. It reads piping isometric drawings and automatically extracts every weld count, every material spec, every commodity code.
Work that took 10 minutes per drawing now takes 60 seconds. It can do 100 drawings in five minutes, saving days of time.
His co-workers are all mind blown, and when he talks to them, it's like they are speaking different languages.
His fabrication shop uses it daily, and he built the entire thing in 8 weeks. During those 8 weeks he also had to learn everything about Claude Code, the terminal, VS Code, everything.
My favorite quote from him was when he said, "I literally did this with zero outside help other than the AI. My favorite tools are screenshots, step by step instructions and asking Claude to explain things like I'm five."
Every trades worker with deep expertise and a willingness to sit down with Claude Code for a few weekends is now a potential software founder.
I can't wait to meet more people like Cory.
"Unfortunately we were unable to reproduce your submission, as not enough information was provided to replicate your findings."
Wondering how often folks get such a response that lacks details by bug bounty platforms and what is the constructive way this to get better?
Been hacking on an Elixir port of @karpathy's autoresearch — an LLM agent that designs and trains GPT models autonomously, overnight. Turns out the BEAM is (unsurprisingly) a natural fit: hot code reloading for experiments, multi-GPU fault tolerance, LiveView to watch it think.
@hitman9264@Bugcrowd@Hacker0x01@rez0__@thebinarybot@ITSecurityguard In VScode we can choose between different models in GitHub Copilot. I think that the Copilot is part of the installation of the latest VScode releases. You still will need to pay for Copilot subscription...