Chapter 1: What was revealed in the Claude Code leak?
Aloha, everyone, and welcome to another exciting episode today. Thank you for joining us. Today's stories will go through the litany of AI news, as there is always new, new AI.
Chapter 2: How did the LiteLLM supply-chain breach impact AI security?
And in AI and Science, we will discuss how AI-powered robot scientists are rewriting the rules of discovery. Today, I have Andy joining me, and I believe we have a couple other people planned. And I am Junmi. And today is...
Chapter 3: What are the risks of quantum computing to encryption?
The Daily AI Show. It's episode 693 and it's Wednesday, April 1st, 2026. So Andy, why don't you lead us off with your most important or exciting AI news story.
Chapter 4: How are quantum batteries changing fast-charging technology?
Okay, I think the big news is the leak of Claude Code code. And I read just a real high-level overview of what was revealed in that. And there's deep analysis going on in the many thousands of copies of Claude Code code that got distributed in order to make them unretrievable by Anthropic. But I would say this.
I would say what I got was people were very impressed with what some of the techniques were that were revealed that make cloud code as good as it is. One of them that just leapt to mind is that they have a dynamic multi-layered memory process that makes it possible for the main thread not to get interrupted while keeping track of a lot of other things in this sort of three-layered memory system.
And that's what makes it possible for Cloud Code to maintain context and stay on track for longer periods of time. And that's just one of the methods. And I'm sure there are comparable methods in the other frontier models, but now the actual details of how anthropic does that have been revealed.
Chapter 5: What is the significance of the proposed privacy lawsuit against Perplexity?
Yeah, I'm hoping I can get a chance to look at it myself. I'd love to know what the particular insights are, just so that my own use of cloud code and cloud in general might be enhanced or streamlined. Oh, that's how it does it. Oh, okay. Well, I need to reframe how I approach, you know, asking questions or something along those lines.
Okay, a story from my side is a story that might not be getting a lot of coverage. And I hope there isn't a ton of doom and gloom today.
Chapter 6: How is OpenAI's recent funding round shaping the AI landscape?
But apparently... There's a supply chain issue or security issue. It's a supply chain of light LLM. So Mercor, a $10 billion AI recruiting startup that contracts domain experts to train AI models for companies that include OpenAI and Anthropic, confirmed on Tuesday that it had breached through a supply chain attack on light LLM. an open source library used by AI developers worldwide.
The extortion group Lapsus claimed it obtained four terabytes of Mercor data, including source code, Slack communications, and videos of conversations between Mercor's AI systems and contractors on its platform. So, you know, albeit what day it is today, being April 1st, but this isn't necessarily new, right? We've been seeing different security questions come up with AI use.
What this highlights, though, is attacks specifically on the back end of the entire LLM ecosystem, getting access or attacking the data side of things, which I think is less what we normally hear.
Chapter 7: What insights does the Stanford study on AI sycophancy provide?
It's always some sort of security issue when building systems. Using an LLM or using AI to vibe code or use a code assistant to build a new program. And that has inherent security issues. Or, well, I guess with the Anthropic story, that's a single point of failure because that came through Axios, right, Andy?
Yeah. It was an internal mistake. I think Axios had some kind of tangential opportunity to lay claim to it, but there was just a publishing error by an employee inside Anthropic is what I understand. Gotcha.
So another significant point about the story is that the attack vector is interesting here, right? So it's well beyond just one company, right? So LightLLM is an open source API gateway that lets developers connect their applications over a hundred different large language model providers. So including OpenAI, Anthropic, Google, and others. Through a single interface,
Chapter 8: How are self-driving labs and AI-powered robots transforming scientific discovery?
It's downloaded 97 times per month on PYPI, the main Python package repository. And the hacking group called Team PCP compromised the Trivi vulnerability scanner through a misconfigured GitHub repository.
actions workflow so what this means is they're also they're finding exploits within github and if you're not familiar github is like the number one platform for repositories of software projects of every type so identifying that there are um There are exploits there as well is another concerning issue about the larger supply chain of software, LLMs, and AI development.
So a bit of a concerning story there. weaved off of the anthropic leak itself. So it's not the best for AI security or cybersecurity in general over the last few days.
Yeah, on the subject of security, I have news from a publication yesterday by Google Quantum, the Google Quantum team, that they've now, through their research, determined that the number of physical quantum qubits that are necessary to break Bitcoin and Ethereum encryption
it has been reduced in their mathematically proven methods algorithmically from 9 million qubits, which is a kind of a, you know, way out there future possibility that there might be 10 order of magnitude, 10 million qubit, uh, quantum systems down to 500,000, which is a 20 X improvement roughly. Right. So, uh,
They're saying that a future machine and they've accelerated the timeline for arrival at that future machine to 2029. It was previously out beyond 2030. It could break. Quantum, not quantum resistant encryption, but it could break the current methods of encryption that are protecting crypto and lots of other banking transactions. And, you know, there's some...
gobbledygook that I don't understand about what that encryption methodology is. But they could break it in nine minutes, which is relevant because a crypto transaction takes about 10 minutes to propagate through the blockchain. And so it doesn't get settled completely for 10 minutes.
So what could happen is even before completion of a transaction that's transferring funds from one to another, even before that's completed, a quantum system of this design could break that and figure out how to intercept it and basically steal that money. No such machine exists today.
The largest quantum chips at the moment have about 1,000 qubits, and you'd have to get to 500,000 based on this analysis. But we're going to get there, right? That's going to happen eventually. Um, so, uh, that's their, uh, their great news for us is that you better start thinking about this.
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