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Google AI solves decade-long virus mystery in 48 hours

Plus: OpenAI's defamation crisis.

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Welcome Humans🤖,

Here is what we have Today:

  • 🔬 AI solves decade-long antibiotic puzzle in a weekend.

  • 🧠 Nvidia unleashes AI that "thinks" like humans.

  • 😱 ChatGPT falsely labeled someone a murderer.

  • 💰 Nvidia, xAI, Microsoft & BlackRock unite on massive infrastructure push.

  • 💼 New Job Opportunities

NVIDIA

Nvidia just dropped its Llama Nemotron family—open-source reasoning models designed to push AI decision-making and problem-solving to the next level. These models are built for enterprise adoption, enabling AI agents to tackle complex tasks with human-like logic.

Image Source: NVIDIA

The details:
🔹 Comes in three sizes: Nano (8B), Super (49B), and Ultra (249B)—each tuned for different workloads.
🔹 Super version outperformed Llama 3.3 and DeepSeek V1 in STEM and tool-based reasoning tests.
🔹 A toggle feature lets AI switch between deep reasoning and direct answers based on the task.
🔹 Post-training improved accuracy by 20% over base Llama models and 5x faster than rival reasoners.
🔹 Nvidia’s AI-Q Blueprint launches in April to help businesses seamlessly integrate AI with existing systems.

Why does it matter?

Nvidia’s latest AI breakthrough may get lost in the flood of recent releases, but don’t be fooled. With its dominance in hardware, cutting-edge models, and now enterprise-ready reasoning AI, the company is quietly assembling an unstoppable AI stack for the agentic future.

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Google

Scientists spent a decade unraveling how viruses spread antibiotic resistance. Google’s AI did it in two days.

For years, researchers at Imperial College London studied how certain viruses transfer antibiotic resistance genes across bacteria. Their findings remained unpublished—yet Google’s AI reached the same conclusion independently in just 48 hours.

Image Source: Ideogram

🔬 What’s the big deal?
AI-assisted research could revolutionize science, accelerating discoveries by quickly identifying key hypotheses that might take humans years to uncover.

⚠️ But there’s a catch…
Despite its speed, AI-generated research sparks controversy. Risks of inaccuracies and ethical concerns loom large, forcing scientists to rethink how AI fits into the research process.

💡 The Future of Science?
AI’s ability to uncover breakthroughs at record speed challenges traditional methods. But the real question is—can we balance innovation with integrity to ensure AI truly benefits humanity?

Trending Today
  • Actuators are the artificial muscles that are like real muscles being made for robots. They can change there stiffness, expand and rotate within one component due to an external stimulus. These artificial muscles allows the Robots to move natural and complaint way making them better and safer to work with.

  • Nvidia and xAI announced they’re joining Microsoft, BlackRock, and investment firm MGX’s initiative to put as much as $100B into new AI infrastructure projects in the US. Microsoft could use the new data centers to power its rumored in-house model, MAI-1, which would likely put even more strain on its already-fraying relationship with OpenAI.

  • OpenAI is facing another privacy complaint from the European privacy advocacy group—Nyob—after ChatGPT produced incorrect, “defamatory,” and potentially damaging information about a Norweigan user, Arve Hjalmar Holmen, who was horrified to discover that ChatGPT returned false information, incorrectly claiming that he’d been convicted of murder and sentenced to years in prison.

  • OpenAI has launched o1-pro which uses more computing than o1 “to think harder” and provide “consistently better” responses to complex problems. OpenAI is so convinced that o1-pro’s improved performance means developers will willingly pay $150 for every 750,000 words they input into the model, which is 2x the price of GPT-4.5 and 10x the price of o1.

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AI News

Source: Ideogram

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