One open model now sits months behind the American frontier on cyber and biology, and refused nothing it was asked to do. The closed model refused so often the test could not be finished. Months of capability separate them. The gap in restraint is total. Part four of four.
The White House finished its frontier AI framework on 1 August and has published nothing. The threshold is classified. The benchmarks are classified. Whether open weight models are covered at all remains unanswered. Part three of four on governing what cannot be recalled.
Washington is pushing its AI security perimeter deep inside the data centre, targeting Chinese-made components that move data between GPUs. The policy may reduce cyber and espionage risks, but it could also raise costs, slow construction and expose a new weakness in America’s AI race as AI scales.
AI cheating tool Cluely has raised $5.3 million to offer real time, undetectable support during interviews, exams, meetings, and more. Creator Chungin “Roy” Lee says the tool redefines cheating, arguing it helps people work smarter—not break the rules.
Two bold AI startups are making waves. One defies tradition while the other rewrites the rules. Cluely, created by a suspended Columbia student, challenges hiring norms. Spur, founded by Yale graduates, simplifies website testing. Both raised millions, proving that disruption still attracts serious backing.
Chungin “Roy” Lee, a 21-year-old former Columbia University student, has secured $5.3 million in funding to build Cluely, an AI tool that offers real time assistance in high pressure situations. The funding round was led by Abstract and Susa Ventures, with support from several angel investors.
Cluely is designed to provide undetectable support during interviews, assignments, exams, meetings, and sales calls. It watches the user’s screen, listens to audio, and delivers instant suggestions and answers without being noticed.
Lee promoted Cluely’s launch on X, stating the tool is about changing the meaning of “cheating” and redefining how people access help in real time.
The world is not ready, but humans will adapt. https://t.co/AYKHiPBkdc
— Cluely (@trycluely) April 20, 2025
“Now I raised $5.3 million to build Cluely, a cheating tool for literally everything,” Lee said. “Every single time technology has made people smarter, the world panics. Then it adapts. Then it forgets.”
The idea builds on Lee’s earlier product, Interview Coder, which gained attention for helping candidates pass technical interviews unnoticed. That tool quietly ran in the background during video calls, writing code, fixing bugs, and explaining solutions. Lee used it to land offers from Amazon, Meta, and TikTok, all of which were revoked after he revealed he had used his tool.
Lee shared a demo of Interview Coder in action, revealing how the AI tool operates invisibly during live tasks without detection—watch the full video below.
“If tech companies call themselves AI first, they should also accept the use of AI during interviews,” Lee said.
Interview Coder charged users $60 per month and reached $1 million in annual recurring revenue within 36 days. It is now on track to double that, with monthly revenue growing by 20%.
With Cluely, Lee wants to go beyond interviews. He sees the product as a tool that changes how people learn and perform under pressure.
“Cluely is the bridge to a world where humans do not compete with machines, we grow with them.”
Washington is pushing its AI security perimeter deep inside the data centre, targeting Chinese-made components that move data between GPUs. The policy may reduce cyber and espionage risks, but it could also raise costs, slow construction and expose a new weakness in America’s AI race as AI scales.
Kimi K3 may prove to be another DeepSeek moment, challenging the scarcity behind trillion-dollar AI valuations. As open intelligence spreads, frontier models may become utilities, while the greater prize shifts to the nations, industries and people bold enough to build with them and share freely.
We are racing to shape our AI future through a new Office of AI and national standards. Yet billions flow into foreign-led data centres while we offer little support for local models or sovereign compute. Without stronger action we risk becoming high-quality hosts rather than true leaders.
SK Hynix has priced the biggest foreign listing in American history at $149 a share. The memory war we have tracked for a fortnight now has a market price. It reads as a verdict on who controls the inference economy.
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