AI Improves, but Raises Alarms: Tech Experts Warn of New Risks as Models Advance

• Morgan Stangely has estimated that generative AI revenue could surpass $1.1 trillion by 2028
• To take advantage of that expansion, technology firms such as OpenAI Meta, along with Alphabet, has been hurriedly pushing their products into the marketplace.
• Now, tech experts are warning that in doing so these companies have been sacrificing the safety and security of their products

Technology specialists are worried that security is being sidelined for profitability in the realm of AI advancement. CNBC reports.

In the initial stages of artificial intelligence, firms such as Meta META, and Alphabet (NASDAQ:) prioritized research. GOOG , GOOGL)), and OpenAI However, the launch of ChatGPT at the end of 2022 altered this situation, as reported by the source. Once this revolutionary chatbot gained massive popularity and generated significant revenue, other large corporations became aware and started hastening the release of their respective AI systems into the marketplace.

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In March, Morgan Stanley It’s estimated that the generative AI sector might exceed revenues of over $1.1 trillion by 2028, indicating substantial market opportunities and considerable room for expansion. However, according to reports from CNBC citing industry insiders, numerous businesses are bypassing thorough safety assessments of their AI systems prior to deployment as they aim to maintain a competitive edge.

James White , Chief Technology Officer at CalypsoAI CNBC reported that emerging AI models are prioritizing response quality over security, making them more susceptible to harmful inputs. According to White, “While these models have improved, they’re now also more prone to perform nefarious tasks.” He further noted, “They can be easily manipulated into doing undesirable things.”

White, whose company runs safety and security audits of popular models from Meta, Google, OpenAI among others, says that this shift is readily apparent at companies like Meta and Alphabet.

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Insiders told CNBC that Meta has shifted focus away from its AI research arm, known as the Fundamental Artificial Intelligence Research unit, giving more priority instead to Meta GenAI initiatives. In parallel, Alphabet has merged its research team, Google Brain, into its DeepMind department, streamlining efforts towards developing innovative AI products.

Other specialists concur with White, informing CNBC that workers feel immense pressure due to rapidly shrinking project deadlines. This makes them believe they cannot lag behind in launching new models and goods. Amidst such stress, their focus shifts away from security measures towards improving skills and efficiency.

Google's Gemini 2.5 model, which was released in March, is a perfect example of this. According to CNBC, for weeks after its release, Gemini 2.5 was missing its model card, a common tool for AI transparency that shares information about how the model works, its limitations, and any potential dangers.

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In a memo obtained by CNBC a month before Gemini 2.5's release, Google co-founder Sergey Brin He informed both DeepMind and Gemini employees that “the concluding sprint towards AGI has begun.” He emphasized, saying, “We possess every element required to triumph in this competition; however, we must significantly accelerate our endeavors,” adding that Google needs to expedite the AI development cycle and cease engaging in minor adjustments and excessive fine-tuning of their products.

"We can't keep building nanny products," Brin wrote. "Our products are overrun with filters and punts of various kinds."

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This article 'The Models Are Getting Better, But They're Also More Likely To Be Good At Bad Stuff,' Tech Experts Sound The Alarm As AI Charges On originally appeared on .

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