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Nikola Mrkšić, co-founder and CEO of PolyAI, recently appeared in a clip from the 'Disruptive' podcast by Barclays Eagle Labs, hosted by Luke Christoforidis. In this segment, Mrkšić discusses why the prevailing view in Silicon Valley that 'voice is dead' is detached from the reality of how people actually reach out to businesses.

PolyAI builds enterprise voice AI agents that answer customer calls. This resource is suitable for professionals seeking to understand the current application status and market positioning of voice AI in business scenarios. While the full argumentation details are not provided, the direct perspective from the founder of a leading voice AI company offers a reference point for evaluating the continued importance of voice technology in enterprise communications.

Nikola Mrkšić, co-founder of PolyAI (poly.ai), discusses the profound impact of artificial intelligence on the labor market in a recent clip from the tech interview show 'The Unlock with Oliver Bruce'. Mrkšić, originally from Belgrade, references his mother's experience working at the National Bank of Serbia as a personalized example to explain the magnitude of the AI wave.

According to the video title and publisher description, Mrkšić notes that his mother's department originally had 40 people, but only 2 remained. He uses this case to argue that AI represents "the same wave at far greater scale." This viewpoint provides a specific, tangible entry point for understanding how AI technology reshapes workforce structures in traditional industries.

For readers focused on AI industry investment and social implications, the value of this clip lies in its first-hand observation from the founder of a company specializing in enterprise voice AI agents. Although a full transcript or detailed argumentation is not provided, the resource clearly identifies the guest, their affiliation, and the direction of their core thesis, making it suitable as quick reference material for understanding AI-driven job displacement.

PolyAI co-founder Nikola Mrkšić recently appeared in a clip from the tech interview show 'The Unlock with Oliver Bruce,' sharing his experience of leaving Apple to found PolyAI. Mrkšić previously worked on Siri within Apple, noting in the description that persistent feedback about Siri's poor performance ('People kept telling me Siri's sh*t') motivated him to leave and build voice AI focused on doing one job really well.

This narrative provides a micro-view of AI talent mobility and competitive dynamics within major tech companies. Mrkšić's startup, PolyAI, currently builds voice AI agents that answer customer calls for enterprises. Although the clip does not elaborate on technical arguments or market analysis, it clearly identifies the motivation of former Apple employees turning to vertical voice interaction development due to dissatisfaction with general-purpose assistant experiences. For professionals interested in AI industry investment, particularly in voice technology commercialization, this background story reveals a potential driver behind the shift from general large models to specialized tools for specific scenarios.

According to The Decoder, OpenAI plans to begin using session data from its Daybreak Blue cybersecurity product for model training starting November 29. The change was confirmed via an email to members of the Trusted Access program. Previously, this data was excluded from training even when users had turned off the "improve the model for everyone" setting.

The backlash was swift. OpenAI followed up with a second email promising a separate opt-out mechanism. However, the report notes that interactions flagged during safety reviews can still be used for safety purposes.

The move has researchers worried about a repeat of the Buckmaster-Alpöge case. In that incident, mathematicians Tristan Buckmaster and Levent Alpöge uploaded Navier-Stokes equation drafts to OpenAI's Codex. OpenAI soon presented its own proof but denied using their inputs for training. Yet the suspicion alone was enough to show researchers what could go wrong.

The U.S. Department of Justice (DOJ) announced on October 31, 2026, that the first results of Operation Ghostbusters have led to the indictment of five defendants and the seizure of more than $750,000 in cryptocurrency tied to a network associated with Kenyan nationals. This marks the first international seizure of its kind in Kenya.

According to the agency, bad actors used stolen identities to sign up for student loans and used AI to complete the application, making it appear that the fake student was attending online classes. While schools received the majority of the proceeds, the remaining amount was funneled into bank accounts of the fraudsters, who then used mules to move money to overseas conspirators. Unwitting victims who skipped college are saddled with debt they never signed up for.

Multiple community colleges and universities across the United States started suspecting fraud in the Federal Student Aid (FAFSA) program in 2021. Estimates suggest the U.S. government lost over $200 million due to this activity. Currently, more than 40 open fraud cases involve 26 FBI field offices and 20 U.S. Attorney’s offices.

According to a report by The Decoder citing the Wall Street Journal, OpenAI has raised less than half of its targeted $30 billion in its latest private funding round, securing approximately $11 billion so far. The company's valuation landed at $1.25 trillion, falling short of the $1.4 trillion it had aimed for.

The shortfall is reportedly driven by fading interest from major institutional investors amid a broader tech sell-off triggered by weak quarterly results from Google, Amazon, and Intel. In response, OpenAI plans to raise up to $20 billion from family offices and high-net-worth individuals. The company is also reportedly planning an initial public offering early next year.

This development contrasts with rival Anthropic, which is pushing to go public as early as November. A strong IPO could leave Anthropic with well over $100 billion in capital, while OpenAI continues to push price cuts and more efficient models to hold its market share.