标签：#Rime

OpenAI disrupted a social engineering group from Cambodia that used ChatGPT. Its scope is impressive: The network simultaneously conducted multiple types of scams, often blending elements from different schemes. For instance, operators used dating personas to build trust before introducing fraudulent investment opportunities involving cryptocurrencies and spot gold trading. Other users engaged in lengthy romantic conversations with targets using fictitious identities, posed as representatives of online gambling platforms offering fake bonuses and winnings, or impersonated law enforcement agencies to tell targets they needed to pay fines for committing serious criminal offenses...

Interesting paper : Abstract: With entrepreneurial fraud cases on the rise, we investigate how entrepreneurs carry out criminal deception , employing deceptive means to defraud audiences. Analyzing court data from Silicon Valley ventures and their founders prosecuted for fraud between 2000 and 2023, our findings reveal that entrepreneurs carry out criminal deception through a process of façading : Entrepreneurs construct, perform, and protect illusory appearances (façades) that externally project high-growth performance to audiences while masking ventures’ actual underperformance. We identify three forms of façading—­surface, reinforced, and deep façading­—that are contingent on the severity of the gap that entrepreneurs face between audiences’ performance expectations and ventures’ performance reality. Our theoretical framework captures how entrepreneurs facing minor, wide, and extreme expectation-reality gaps engage in evermore sophisticated efforts to detach the venture’s externally projected appearance from its actual operational reality. Practically, we propose several approaches to deter and detect criminal deception, including the extension of U.S. Securities and Exchange Commission surveillance and whistleblower program, investor due diligence reform, and dedicated entrepreneurship education interventions that clearly demarcate when entrepreneurs transgress into criminal deception. We make contributions to literatures on cultural entrepreneurship, organizational wrongdoing, and the social effects of entrepreneurship. ...

Lindsay Clancy’s defense argues she killed her three kids because of postpartum psychosis. But armchair detectives, including many fed-up mothers, are laying blame with her ex-husband.

A hacker pretending to work for a leading cryptocurrency news website targeted several cybersecurity professionals using Google Docs as a way to deliver malware.

I'd been waiting for more than 30 minutes. The terminal just sat there, blinking, without returning a single word. I'd launched Gemma2 in its 9-billion-parameter version on my laptop (a regular Mac, the kind any professor or student would use) and the model simply wasn't responding. It wasn't a bug. It was the most honest answer the experiment could have given me. That frustrating wait ended up being, without exaggeration, the most interesting finding of the whole process. Because the question that brought me there wasn't "how big can a model get?" — it was a much more practical one: what actually happens when an agent you built in a tutorial has to survive in production? I've been working with Gemma as a case study to understand that jump — from an educational prototype to something that can hold up under long conversations, limited hardware, and real users. This post is the honest summary of that process: what worked convincingly, what didn't work the way I expected, and why that "didn't work" turned out to be more useful than a clean result would have been. The real problem: why tutorials are a little dishonest Almost every conversational agent tutorial does the same thing, without saying so out loud: on every turn, it sends the model the entire previous history, all over again. Imagine that every time you added a sentence to a conversation, you had to repeat everything said before it — every message, every reply — before you could say the new one. At first you don't notice. But if the conversation runs 30 or 50 turns, you're repeating an entire novel just to add one sentence. This pattern is called linear context stacking , and it causes three concrete problems: Memory saturation — every call to the model processes an increasingly large context. Risk of hitting the token limit — every model has a maximum context window; sooner or later, you hit it. Quality degradation — there's a documented phenomenon in NLP literature called "lost in the middle" : when context

In a new alert, the FBI said cybercriminals are targeting adults and minors in an attempt to steal their personal and intimate pictures in extortion campaigns.

Google recently changed how it refers and assigns names to hacking groups. TechCrunch spoke with one of the world’s foremost experts on tracking hackers to understand why companies give hackers codenames.

Groups of hackers are breaking into large U.S. financial firms to steal sensitive data and extort victims, Google’s security researchers report.

Connor Moucka pled guilty to hacking and stealing data from more than 165 Snowflake customers, which net him and his accomplices more than $2.5 million in ransom payments.

A security vulnerability in the cryptocurrency hardware wallet Coldcard is allowing hackers to drain the crypto from victims’ wallets. The total losses amount to more than $130 million, according to blockchain-monitoring firms.

For months on end, eBay employees and contractors made life hell for a couple that had criticized the company. Six years later, the company is finally paying up.

Also: Forging the One Ring in Rings of Power S3 teaser; new Lanterns trailer; Spaceballs: The New One panel.

Analysis of satellite images of Myanmar shows dozens of alleged scam compounds have appeared in recent months, despite a purported crackdown on the criminal organizations.

Amazon is hoping the addition of games can turn Prime Video into a one-stop entertainment destination, borrowing a strategy from Netflix, which has increasingly embraced party games over the past several years.

Prosecutors accused 21-year-old student Zyaire Wilkins of publishing on Steam several fake video games that contained malware, infecting thousands of victims, and stealing crypto from some of them.

Owen Flowers and Thalha Jubair, two members of the prolific Scattered Spider hacking group, pleaded guilty and were sentenced to five years and six months in jail for hacking London’s metropolitan transit system.

Rime is handling over 100 million calls each month across multiple companies

Founded in 2024, Prime Intellect’s goal is to give organizations capabilities to train their own agentic systems without relying on frontier AI labs.

Not sure this will have any effect, but I support the effort: According to Google’s legal filing, Outsider Enterprise operates through Telegram. The group offers phishing-as-a-service to individuals who may not be technically savvy enough to set up fraudulent websites and text campaigns on their own. In its Telegram channels, Outsider Enterprise reportedly provided instructions on how to use Google’s Gemini AI to create websites that imitate those of Google, YouTube, and government agencies such as New York’s E-ZPass. The group offered nearly 300 scam templates...

The lab will beam back data to train AI models to predict how proteins behind age-related diseases like Alzheimer’s and certain cancers behave.