The sales of my local AI book are looking very healthy (now 74), and the ranking in the Amazon store continues to rise 🤩
If you want to learn more about how AI models work, how you can squeeze models onto your local machine (for free), and save on frontier cloud costs, then this book is for you.
Contrary to the book's "local first AI developer" messaging, I've been told it's invaluable for anyone wanting to learn more about AI, especially if you want local/agentic workflows.
My goal: 100 sales by the end of next week 📚 Then I'll move the goalposts! If I'm lucky enough to get 250 sales, then I'll release my next AI book.
Not sure? Drop a comment, or follow for teasers. x
🇬🇧 amazon.co.uk/dp/B0GYDV3FXD
🇺🇸 amazon.com/dp/B0GYDV3FXD#ArtificialIntelligence#LLM#LocalAI#OpenSource
ALT A stack of copies of Rob's first book "The Local-First AI Developer" sitting on his coffee table at home, AI robots surround it doing menial manual labour
ALT Sales chart from Amazon showing 74 sales to date
Messing around with scc last night to add in git metrics.
One I like a lot is --hotspots which looks for files with high amounts of code churn matched against complexity to identify which files are most likely to be problematic.
This and a few other new features for the next release.
Someone is using searchcode.com to do OSINT against RunwayML.
They looked at every of the 63 repos in the runwayml GitHub. Searched for terms like "reviewer packets", "evidence link", "drift triage", "naming standard", "Runway v1".
Looks like someone hunting for leaked internal docs in their public repos? Compliance terminology, not code.
This is the second OSINT session I've seen on searchcode.com.
Not what I built searchcode.com for, but interesting use case.
bingbot found searchcode's dossier pages and decided it need more... to the tune of 40,000 requests in the last 24 hours. Which would be a problem except the caching worked perfectly.
I wonder how long till Google finds them.
searchcode.com/repo/github.c…
Gave searchcode the ability to give you a dossier of any public repository, similar to what it gives any LLM you point at it.
For example the one for scc searchcode.com/repo/github.c…
Gave searchcode the ability to give you a dossier of any public repository, similar to what it gives any LLM you point at it.
For example the one for scc searchcode.com/repo/github.c…
One way know AI is not concious is to realize you can make it say anything, argue any viewpoint, reverse any decision. You can reverse it's opinion as many times as you want in the same conversation.
Wow my blog being listed next to all of these names clickhouse.com/blog/tech-blo… Lemire, Luu, Gregg, Cox, Salvatore, Karpathy, Chen has gotta be the biggest boost to my ego ever.
Its interesting... you could get say 90% the same result as Bing/Google by indexing wikipedia, using the Youtube API, indexing reddit, and having the top 1 million domain homepages indexed.
Thats all they ever show.
Been messing around with pixel art when on the sofa at the end of the day. Never tried 2 bit pixel art before... it was harder than I thought it would be.
The fact people are appending reddit to their Google searches proves people are not trusting their ranking oracles judgement anymore and are trying to force it to be a boolean matcher again.
I wonder if there still is a market for boolean search anymore.
Realised I never turned off the github.com/boyter/cs http website I setup for people to test... Since its public anyway, feel free to try it now since I updated it with the git sync under the hoodd searching over itself codespelunker.boyter.org/
Someone is using searchcode.com to scan the open source LLM ecosystem for leaked API keys.
Started with a handful of AI providers, now scanning for what appears to be a good amount of them.
OpenAI, Anthropic, Grok/xAI, Gemini, Groq, Mistral, Kimi, Perplexity, Cohere, Fireworks, Together, ElevenLabs on list.
They started doing cloud infra keys for AWS, GCP, Vultr, Linode, DigitalOcean as well.
API usage up 17x from launch now.
Working on a complex codebase with LLMs is the ultimate in finding a local maximum, whilst totally ignoring the mountain just nearby.
This is why experience is still needed to get the most out of them.