user43928
Joined 5 months ago
Joined 5 months ago
I speculate that the AI didn't find this and that human effort and intuition for where to look were needed to find this vulnerability.
Comparing crypto to actual currency typically connected to large, real economies is not relevant here.
$3.5B stolen was "stable coins", which you could equate to a piece of paper with a dollar amount written on it.
Those are largely freezable by the issuer of the paper.
Then we have $2.4B in Bitcoin and ETH stolen. Those are not directly freezable.
However, if that does create a liquidity challenge for these exchanges, what if the price just so happens to drop by 60% after trading is restricted? That liability might shrink in actual value.
Supposedly Apple holds the encryption keys on their own infra, but I still found it interesting how they are just reselling Google Cloud storage here.
I wouldn't say it's obviously unsuccessful.
Clearly there are few limits to what you can implement with AI agents today.
Depending on the complexity, you will spend a lot of time QA testing, giving feedback, and iterating.
One can take shortcuts such as porting existing software, as you mentioned. Many are just content publishing crappy novel software that they barely tested.
You don't need to do that. No one is forcing you not to QA test and iterate until you have a good product.
There were a few common sources of large runtime dependencies in the past. Like the browserify Node polyfills, babel-polyfill and runtime with core-js, React -> fbjs, Material UI -> JSS and plugins, styled-components.
It's also not trivial to tell whether a dependency you listed under devDependencies is actually imported and consequently bundled into your production build.
Since today we no longer need polyfills and the modern stack with Vite etc. doesn't have a sprawling dependency tree, I think things are now looking much better.
I don't know what I'd need a channel for, creating bots/personas seems more natural.
Adding credentials is essential, contrary to what the author of the article said. I gave it my library login and it can fetch newspapers for me instead of me clicking through the app every day.
When I had to provide a GitLab token, it nicely spawned a box for me to save the credential.
- What did not work well -
Voice calls. The quick responses are often dumb while the proper model does the thinking, and in the middle of talking to me it would stop to do work or searches. It did not feel realtime.Permission settings. There is a form where you can automatically allow actions you describe in natural language. I tried to allow it to run Claude on my computer or Send certain emails automatically, but the settings achieved nothing.
Coding. I wasn't able to make it use Claude, and its own work is worse than me using Opus 5.5 in Claude Code.
- What worked well -
Planning flights, accessing newspapers from my online library, checking stock in online stores, sending regular summaries of events and weather to plan activities.Until spec files can be worked with so efficiently that we can just regenerate the binaries from them for every change, what you said makes little sense.
You're going to need an intermediate portable form of storing the program. It so happens that all the tools and AI are optimized to work with source code.
The Jest test runner alone has 250 dependencies in its latest version, and v25 had over 500.
We'd first need to establish that this side channel leaks usable information during regular use.
Anyway, that and your question are hardly relevant to the fact that Binance and their cabal own the crypto exchanges and consequently could manipulate the price to reduce the size of their obligation denominated in crypto rather than currency or stable coins.