Startups

A hallucinating AI has become a reality sooner than expected

A technical report released by Open AI last month found that company’s AI models – o3 and o4 mini generate more errors than older models. The report revealed that o3 hallucinated 33% of the time while o4 mini hallucinated 48%. For all the hype about the efficacy of AI, the more complex AI models are turning in higher rates of blunders. Worse, Open AI admitted that it didn’t know the reason for the hallucination.

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A tectonic shift from search engine to LLM search

“Alexa, how many goals has Cristiano Ronaldo scored for Manchester United?” asked the user.

The voice replied, “Cristiano Ronaldo played 346 games for Manchester United between 2003 and 2009 scoring a total of 145 goals.”

Compare this instant reply to a traditional search engine, and we know where the future of search business is headed.

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Banking on generative code: How AI is supplanting spreadsheets in investment banks

In a recent keynote speech at the Cisco AI summit in California, Goldman Sachs CEO David Solomon pointed out that AI can draft an IPO prospectus. The Financial Times reported Solomon saying AI can accurately compile 95 per cent of such document. Comparing with the conventional method of preparing an initial registration prospectus or S-1, he noted that AI could do within minutes what a six-person team took two weeks to prepare.

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AI-Powered pi-scout is set to redefine modern investigations

In the age of digital crime and evolving security threats, intelligence agencies and law enforcement officials face an uphill battle. Criminals operate across multiple channels—phone networks, internet platforms, CCTV networks, and social media—leaving behind complex digital footprints. However, traditional investigative methods struggle to keep up with the overwhelming influx of data from diverse sources. This is where pi-scout emerges as a game-changer, providing AI-driven intelligence that unifies data, amplifies insights, and accelerates investigations.

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