king_zee
Claude Code Anti-China tracker: verification report
China companies Z.Ai,China 360 claim having cybersec AI models to match Mythos
Oalabs catch hacker using Claude for black hat, but exposed resume from prompts
Ask HN: Best Hetzner Alternatives?
Because what are you implying otherwise? "There are huge vulnerabilities everywhere, it'd be bad if people were to find them!" How is this suddenly the acceptable take towards cybersec? Wouldn't you WANT them to be found and then fixed? If anything, today it's mythos, in 2 years it's OpenMythos, in 6 years it's DeepMythos... All AI converges towards progress anyways
Everyone keeps warning against the huge vulnerabilities as an excuse to not release the model, wouldn't you want to live in a world where every piece of code actually survives the model instead?
Ask HN: Isn't Anthropic currently doing "security through obscurity" for Mythos?
What's the worst that could happen if they were to allow unrestricted access to Mythos/Fable? A bunch of things vulnerabilities get exposed? And? A bunch of companies already had months of Mythos beforehand, and they probably fixed some issues it may have found on their codebase.But ultimately why not allow people to use it to find vulnerabilities and then fix them? If mythos is so good and the...
Ask HN: Is the Fable situation the ultimate "security through obscurity"?
What's the worst that could happen if they were to allow unrestricted access to mythos/fable? A bunch of things vulnerabilities get exposed? And? A bunch of companies already had months of Mythos beforehand, and they probably fixed some issues it may have found on their codebase.But ultimately why not allow people to use it to find vulnerabilities and then fix them? If mythos is so good and the...
How Clipboards Work
If LLMs Have Human-Like Attributes, Then So Does Age of Empires II
Using the same cars analogy, things got better only because it finally became financially viable to manufacture and run electric vehicles.
Would running data centers on renewable energy make things better? Probably not much, I'm sure most are already looking into getting the cheapest energy sources anyways.
Regulation is probably coming though, once Google and Meta and Apple and Microsoft and every big corporation get their hands on as much data as humanly possible, be it through selling you Ray-Bans or by screenshotting your desktop every 10 seconds or by scanning all the images on your phone and sending the metadata to the cloud for "censorship and safety". For the past 5 years every big corporation has probably breached so many lines to acquire this data, and then at some point, they will lobby to make it harder for everyone else, as they have done so before.
I hate to sound defeatist, but there is genuinely very little we can do anymore. I'd love to hear comments on any actionable suggestions that can be done by any of us. Especially concerning this data breach issue which has never deterred the FAANG, worst case they'll pay a few million down the line from some class action lawsuits.
You need to represent 2 variables : the dot/dash to represent symbols, and the dit, the time in-between symbols.
If you want to do this you need some sort of 2nd action, a comment or a twitter like, that way we could represent the dot/dash with either action, and then space them out to time the silence.
As much as we try to separate the LLM from the human, to me the fact remains that there's always the human factor that creates immense bias. If you give an LLM access to a blog, it will write blogs. If you give it access to a weather app, it will check the weather. Maybe we can talk about autonomy when we have an LLM with an infinite context window linked to hundreds of MCP servers that spends an immense amount of tokens to figure out how to act, but this example is simply an AI that had a few methods to call and picked one of them. The statistical probability of an AI that is plugged into a blogging platform, to write a blog, is immense.
Google planning to release 32M mosquitoes across Florida and California
The issue about AI is that it's gobbling so much information that at some point you couldn't tell the difference. Programming specifically is something that inherently documents itself, meaning while human communication and context and memes and culture is something that evolves and exists many times outside of textual mediums, as soon as any new piece of code is born it is now part of the AI's dataset. And it doesn't help that a vast majority of our code is pretty damn repetitive, especially if you insert code written in the span of two decades and more into the future.
Tldr : The better we get at coding, the more code we write, the better AI gets at coding.