Hello, AI Enthusiasts!

On this edition of AI Secret, we highlight a podcast by Latent Space featuring an interview with Thomas Scialom, an AI scientist at Meta. Scialom discusses the event of Llama 3.1 and offers insights into the upcoming Llama 4 model.

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TODAY’S AI SECRET:

• Meta AI scientist unveiled the event strategies behind Llama.

• Every day trending & featured AIs boost your profession and business.

• A North Korean hacker fooled a US security company.

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TODAY’S AI WORLD

• HP Unveils Latest AI PCs – HP declares the launch of recent PCs able to running language models locally in Bengaluru.

• Breakthrough CRAM Technology Revolutionizes AI Efficiency – Researchers from the University of Minnesota unveil a brand new chip that might make AI applications 1,000 times more energy efficient by rethinking traditional computing architecture.

• HHS Overhaul to Combat Cyberthreats and AI Growth – The Biden administration is restructuring health IT to handle rising cyberattacks and the combination of AI in healthcare.

• Paris Olympics Broadcasts Embrace AI Divergence – NBCUniversal plans to enhance its US coverage with generative AI, while Warner Bros. Discovery stays cautious in Europe.

LLMS

Meta AI scientist unveiled the event strategies behind Llama.

The recent podcast episode by Latent Space featured Thomas Scialom, an AI scientist at Meta, who unveiled the event strategies behind Llama 3.1 and provided exciting insights into the upcoming Llama 4 model. This discussion highlighted the numerous advancements and differences between these two iterations of Meta’s language models.

Llama 4 Development Plans: 

• Development Plans: Meta has already began training the Llama 4 model as of June.

• Agent Technology: A primary focus for Llama 4 is the combination of agent technology. This may enable the model to perform complex tasks, reminiscent of function calling, multi-step reasoning, and pre-planning, significantly enhancing its practical applications.

• Expanded Capabilities: Constructing on the foundations of Llama 3.1, Llama 4 goals to extend its training data and parameter scale further. This expansion will improve the model’s accuracy and efficiency, making it more powerful and versatile.

• Enhanced Evaluation Methods: Llama 4 will employ more sophisticated post-training evaluation techniques, including the usage of reward models and diversified benchmark testing. These methods will be sure that the model’s capabilities are thoroughly tested and validated before deployment.

Comparing Llama 3.1 and Llama 4:

• Scale and Data: While Llama 3.1 already boasts a big scale with 405 billion parameters and 15 trillion tokens, Llama 4 goals to surpass this with even larger datasets and improved training processes.

• Agent Technology: Llama 3.1 laid the groundwork with its advanced model architecture, but Llama 4 will take a big leap by integrating agent technology, allowing for more complex and autonomous AI behaviors.

• Evaluation and Efficiency: Llama 3.1 introduced revolutionary evaluation methods and efficiency improvements, but Llama 4 will enhance these features with more comprehensive testing and optimization, ensuring superior performance and reliability.

Why It Matters:

The event of Llama 4 signifies a serious leap in AI capabilities, particularly within the realm of agent technology. By enhancing the model’s ability to perform complex tasks and follow intricate instructions, Meta is paving the best way for AI that may significantly augment human productivity and problem-solving.

The advancements in evaluation methods be sure that Llama 4 won’t only be powerful but in addition reliable and adaptable to real-world applications.

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A North Korean hacker fooled a US security company.

In a recent incident that underscores the evolving threat landscape, KnowBe4, a distinguished US-based security vendor, revealed it had inadvertently hired a North Korean hacker. This hacker, posing as a legitimate candidate, attempted to compromise the corporate’s network as soon as he was onboarded.

The Details:

• North Korean Hacker Deceives US Security Vendor: A North Korean hacker tricked KnowBe4 into hiring him by utilizing a stolen US identity and an AI-enhanced photo.

• Immediate Try and Install Malware: Upon receiving the company-issued workstation, the hacker immediately began loading malware, prompting an investigation by KnowBe4’s Security Operations Center (SOC).

• Sophisticated Cover Story and Identity: The hacker passed multiple video interviews and background checks using the stolen identity, demonstrating the lengths to which nation-state actors will go to infiltrate organizations.

Why It Matters:

This incident is a stark reminder of the persistent and evolving threats posed by nation-state actors. As cyber threats develop into increasingly sophisticated, organizations must constantly adapt their defenses to guard sensitive information and maintain operational integrity.

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