You just have to Manhattan Project it. Fable will happily work on almost any piece in isolation. The hardest boundaries are domain specific terms you just can’t avoid. It can be tricky. I have found a way around it mostly.
Or just use DeepSeek. I have had Flash 4.1 with Ghidra MCP going since 4.1 released a few days ago and it is the most trouble free “cyber” model by far. It is also very strong. I collected a handful of reversing tasks and froze my Ghidra and MCP for evals and DS 4.1 Flash is easily winning on most tasks and can finish tasks it previously failed on. Anyone can reverse software and find vulnerabilities now. Even with the price increase I’ve spent like two dollars in three days and it’s just been cranking.
The price for Flash has stayed the same since April when v4 was released. I just checked it yesterday because I also thought DeepSeek increased their prices too much. The only time Flash was increased was briefly in August. But there's new peek pricing (double the price) during Chinese hours so yeah, it's a bit increased after all, but not much.
1.) Didn't, and it's more anthropic doom porn to try to scare people into investing.
2.) They did things like "hey claude, write a PID loop for this ESP8266 with this pin in for input and this pin out for output.
I'm sorry, that's not a "missile guidance system" until you strap it on a rocket, then it is. This just strikes me as more "doom porn" from the people who want to be the ultimate gate keepers (read monopolists)
The Manhattan project was divided into smaller problems that were solved by experts without them fully understanding the nature of the project. Then, the solution was reassembled by a handful of experts.
You can divide a missile guidance system into smaller subsections and then either stitch the solution together by hand, or using a local AI w/o the restrictions of Claude.
The isolation was so good, many of the workers had no idea what they were doing. Interviews after the war with the rank and file contained quite varied speculation on what the plants were trying to accomplish. I remember one nurse who thought it was all just a cover to get blood samples.
split the project into disparate but logical pieces, such that each group (ie. agent) doesn't know what the other is working on, or why. Then put it all together and tada, you have a nuke!
You can run opus 4.8 level models on $10k in hardware or less. Just seems like there is little argument to explain why there are 10s of trillions in future profits for these labs.
What's an example of him crying wolf? Most of the things have either been longer term worries or short term things that have come true (eg, the worries over gpt2 were about spam and possible impersonation, which came true. His prediction that LLMs would write most code and humans would still guide them has also come true in most orgs)
The internet created lots of monopolies with network effects and economies of scale.a low margin commoditized business that still attracted a trillion dollars of investment to get off the ground was not how I envisioned it happening either.
Exactly developers can switch to another coding cli and the learning curve is close to zero. Mindshare without switching costs is just a popsicle in the sun.
If your business leaks to your customers… if you can ask your product for its inner secret sauce and it readily gives away the goose. That is not a moat.
reply