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OpenAI Uncovers a Hidden Network of Fake Journalists
Plus: TCS Shares Surge 5% as Its AI Strategy Gains Momentum
AI is making headlines, but not always for the right reasons. TCS reported a 20% jump in annualized AI revenue, attracting investors. Meanwhile, OpenAI's ambitious mathematical proofs are facing scrutiny over accuracy and human understanding. In another development, OpenAI exposed Russian and Iranian influence operations using AI to spread misleading narratives. Together, these stories reveal three sides of AI's evolution: business growth, scientific breakthroughs, and growing risks to trust.
In today’s post:
OpenAI exposed two AI-powered influence operations.
OpenAI solved 719 math problems. But there's a catch.
TCS's AI revenue jumps 20%. Investors take notice.
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What’s Trending Today
POLICY
Fake journalists, hidden operators, and a new threat to trusted information.
OpenAI has disrupted two covert influence operations linked to Russia and Iran. Both used ChatGPT to support misleading political campaigns. But their most effective tactic wasn't flooding social media. It was making false identities look like credible information sources. And some of those efforts reached established media outlets.
OpenAI banned accounts linked to two operations. One originated in Russia, the other in Iran. Both used AI alongside traditional deception techniques.
Russia's operation targeted Latin America. Named "Dark Clark," it spread misleading narratives about Ukraine and regional politics. Some fabricated stories prompted official denials and fact-checks.
A fake research organization added credibility. Russian operators apparently controlled a Latin American think tank through a fabricated identity. Its local researchers appeared unaware of the operation.
Iran's operation created seven journalist identities. These personas pitched geopolitical articles to legitimate online publications. Nearly 100 articles appeared across roughly a dozen outlets.
Traditional media proved more effective than social comments. The Iranian campaign's social replies attracted little engagement. Its published articles reached outlets with substantial audiences.
OpenAI identified an unusually significant Russian operation. Dark Clark reached Category 5 on its six-point influence scale. It was OpenAI's first disrupted operation at that level.
AI made existing deception easier to execute. Operators used it for writing, translation, editing, and internal reports. The underlying manipulation tactics existed long before AI.
The most concerning part isn't that AI can generate misinformation. We've known that for years. It's how easily misleading content can acquire apparent credibility. A fake journalist can publish in a real outlet. An unsuspecting researcher can support a hidden political operation. And readers may never know who's behind the information. AI makes these operations easier to scale. But trust still depends on human judgment and verification. The question is no longer whether content looks authentic. It's whether we know who created it and why. That distinction matters more as AI becomes part of everyday publishing.
RESEARCH
AI can solve difficult math. Understanding it is another challenge.

Image Credits: Open AI
OpenAI released 719 mathematical manuscripts this week. Some address problems that have challenged mathematicians for years. But researchers are raising an uncomfortable question. What happens when AI produces proofs humans cannot fully understand? And can we trust solutions without proper verification?
OpenAI released 719 mathematical manuscripts. The company used proprietary AI models to tackle open research problems. But independent validation remains a major concern.
Transparency is still limited. Only 10 manuscripts included model reasoning traces. That makes understanding how the AI reached conclusions harder.
Mathematicians want stronger standards. A Princeton-hosted advisory group published guidelines for AI-generated proofs. It emphasized transparency, independent scrutiny, and human understanding.
A major mathematical proof faces questions. Cambridge and King's College researchers identified two translation discrepancies. These involved OpenAI's work on a Navier-Stokes-related problem.
Computer verification doesn't guarantee everything. AI translates mathematical explanations into a formal language called Lean. But translation errors can create gaps between explanations and verified code.
Terence Tao raised a deeper concern. AI-generated results may lack researchers who understand their broader significance. Traditional mathematical progress depends on discussion, explanation, and collaboration.
Human mathematicians remain essential. Researchers must examine proofs and explain their implications. Without that work, technically valid results may offer limited practical value.
AI is changing how mathematical discoveries happen. But producing an answer isn't the same as creating knowledge. A proof becomes valuable when others can understand and build upon it. That's where human expertise still matters. The real breakthrough won't be AI solving harder problems alone. It will be AI helping humans understand things previously beyond reach. If AI discovers something nobody understands, is that progress or just an answer? That distinction could shape the future of scientific discovery.
GROWTH
TCS's AI bet is starting to show real results.

Image Credits: The Hindu
Tata Consultancy Services is seeing its AI investments pay off. Its AI revenue is growing rapidly. International business is improving. And investors are responding. On Friday, TCS shares jumped 5.2% to ₹2,183.90. But the bigger story goes beyond one day's stock movement.
AI revenue is accelerating. TCS's annualized AI revenue reached $3.1 billion. That's nearly 20% growth from the previous quarter.
Global demand is creating opportunities. Enterprises are spending more on AI-led transformation. India's $315 billion IT services industry could benefit significantly.
TCS is positioning itself for larger deals. Morningstar sees opportunities in modernizing managed services through AI.
The company is investing beyond traditional IT services. Its priorities include data centers, sovereign cloud, AI partnerships, and talent.
Profit margins could face pressure. These investments require significant spending. Emkay expects near-term profitability to feel the impact.
Analysts remain cautiously optimistic. Emkay maintained its ₹2,600 target price. Morningstar lowered its fair value estimate to ₹2,360.
The broader IT sector is gaining momentum. The Nifty IT Index climbed as much as 3.1%. Investors appear encouraged by improving growth prospects.
TCS's biggest opportunity isn't simply selling more AI services. It's becoming essential to how global businesses adopt AI. But there's an important distinction between growth and profitability. AI revenue can rise while margins remain under pressure. The next few quarters will reveal whether these investments scale profitably. The question is simple: Can AI become TCS's next growth engine without weakening its existing business? That's the number worth watching.
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