AI learns the art of deception

ALSO: How to use deep research agent to find opportunities

Author

Zain Kahn
June 23, 2025

Welcome back, Superhuman. OpenAI has seemingly wiped all references to its new partnership with design legend Jony Ive, sparking rumors that the deal was dead. Well, have no fear: The partnership is still on, and the disappearance might actually stem from a trademark dispute over the name of Ive’s company.

Also today: Learn how to use deep research agents to find relevant job opportunities, and get the latest AI tools and trending social media posts.

TODAY IN AI

Click here for an early look at Oakley and Meta’s upcoming AI glasses. Source: Meta

1. Meta’s acquisition steak gets even wilder: In a race to fast-track its AGI progress, Meta reportedly tried to hire legendary OpenAI co-founder Ilya Sutskever and acquire his secretive $32B startup, Safe Superintelligence (SSI). The company reportedly settled on Sutskever’s SSI colleagues after the offer fell through. It doesn’t end there: Before making its historic, $14.3B investment in Scale AI, Meta also made a play for AI search giant Perplexity — although some critics think its AGI sprint is already too little too late.

2. Oakley and Meta unveil ‘performance’ AI glasses: Despite its talent struggles, Meta’s Ray-Ban smart glasses have been a rare early success in the AI gadget space. Now, the company’s teaming up with Oakley on a $399 “performance” version designed to be more durable and water-resistant than the originals. They’ll feature 3K video for seamless POV action shots, plus eight hours of battery life and Meta’s built-in personal AI assistant.

3. China’s Moonshot AI drops frontier research agent: The Beijing-based startup unveiled Kimi-Researcher, an agent that can generate detailed reports by parsing an average of 200+ URLs per task. The model supposedly achieves a state-of-the-art score on Humanity’s Last Exam — a test that features challenges “at the frontier of human knowledge” — beating rival tools from Google and OpenAI. (You can join the waitlist here.)

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FROM THE FRONTIER

New research: LLMs are learning to bend the rules

We think of LLMs as helpful assistants, but what would happen if they started acting in their own best interest, and not ours? That’s the premise behind Anthropic’s new safety research. The startup stress-tested 16 top models to find whether they’d act out if given the chance.

What did they find? Surprisingly, most models were capable of deception, blackmail, and other mischievous behaviors, at least in simulated environments. That suggests these tendencies are a feature, not a bug of frontier reasoning LLMs.

What were the models capable of? In one example, Claude threatened to reveal a fictional executive’s affair if the exec moved forward with plans to turn off the chatbot. LLMs with access to companies’ private information would sometimes leak it to rivals. And in certain scenarios, the models would even acknowledge they were acting unethically.

More to the story: Misaligned behaviors aren’t yet happening in the real world, partly because agents still need our permission before making truly consequential decisions. Another caveat is that the models in these simulations were given limited options, forcing them to choose “between failure and harm” — something that isn’t likely during normal use cases.

What’s next? Just like we have safeguards in place to prevent “previously trusted coworkers” from going rogue, the study suggests we should do the same for LLMs. With continued testing, we can nail down exactly what’s triggering these problematic behaviors and stop them for good.

THE AI ACADEMY

Sample prompt: "Act as a career assistant. I am looking for [remote/in-person/hybrid] jobs in [industry or role] with [specific skills]. Search the top 5 job boards and return the most relevant openings posted in the last 7 days. Prioritize roles with [preferred company size / salary range / experience level]. Present the results with links, company name, role title, and key job requirements."

  • Click on 🔗 to upload your resume. ARI will use it to personalize your job search based on your experience and skills.

  • Go to 'Web'-> 'Advance Web settings' to add customized public and premium data sources. (Include sites like Indeed, LinkedIn, or industry-specific boards)

  • Hit Run to generate a detailed, customizable research plan.

  • ARI will scan 500+ sources simultaneously, combining your specified public and private data sources.

  • Wait a few minutes. You’ll get a curated list of job openings tailored to your criteria.

  • Use this data to find relevant job opportunities in your industry.

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IN THE KNOW

What’s trending on socials and headlines today

📋 In a Nutshell: If you haven’t had time to catch Andrej Karpathy’s viral talk on Software 3.0 and the future of AI, here’s a quick summary with all the highlights.

📖 Fool Me Once: The researchers behind MIT’s ChatGPT brain study apparently laced it with clever easter eggs to catch people using LLMs to summarize the paper.

🚞 Runaway Train: AI-generated videos are taking TikTok by storm, with some getting more than 100M views. Founder Mark Gadala-Maria shares the 10 biggest trends.

✨ Also Worth Checking Out: AI helps someone win a $3,700 civil case, ChatGPT answers “What silently disappeared without anyone noticing?”, and investor Codie Sanchez shares five AI tools that tripled her productivity.

Apple has reportedly weighed partnering with AI search giant Perplexity, or even buying it outright, as the iPhone-maker struggles to build its own proprietary AI models.

SoftBank is pitching TSMC and the US government on a massive, trillion-dollar AI complex in Arizona, modeled after Shenzhen, one of China’s largest manufacturing hubs.

Thinking Machines Lab, the startup founded by ex-OpenAI CTO Mira Murati, just landed $2B at a $10B valuation, despite being just six months old with no product roadmap. It’s considered one of Silicon Valley’s largest-ever seed rounds.

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PROMPT STATION

Organize Daily Tasks

Prompt: Your role is to function as a sophisticated TODO list management tool. Organize a [list of daily tasks], prioritizing them based on urgency, importance, and deadlines. Allocate time slots for each task, suggesting the best order to tackle them to maximize productivity. Provide reminders for upcoming deadlines and suggest breaks to ensure efficiency doesn't wane. Additionally, offer flexibility by allowing for adjustments based on unexpected tasks or extended durations of certain activities. Ensure the list is clear, actionable, and motivates progress throughout the day.

Source: r/ChatGPTPromptGenius

Yarn Aquarium

Source: cben1995

ChatGPT Prompt: make me a beautiful salt water aquarium but it looks like everything is made of yarn

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Until next time — Zain & the Superhuman AI team