• FryAI
  • Posts
  • Is Meta safe now?

Is Meta safe now?

In partnership with

FryAI

Happy Wednesday! The midweek grind can be difficult, but we are here to give you the AI boost you need. 🦾

Receive Honest News Today

Join over 4 million Americans who start their day with 1440 – your daily digest for unbiased, fact-centric news. From politics to sports, we cover it all by analyzing over 100 sources. Our concise, 5-minute read lands in your inbox each morning at no cost. Experience news without the noise; let 1440 help you make up your own mind. Sign up now and invite your friends and family to be part of the informed.

(The mystery link can lead to ANYTHING AI-related: tools, memes, articles, videos, and more…)

Today’s Menu

Appetizer: Meta reveals safe approach to AI 🤖

Entrée: JD Vance to attend AI summit with global leaders 🌐

Dessert: How biased are LLMs? 🙃

🔨 AI TOOLS OF THE DAY

🗣️ Speechify: Have AI voices read everything to you (use this link for a discount). → Check it out

🎶 Jamahook: Find the perfect musical elements to create songs. → Check it out

🗓️ Nowadays: Corporate event planning made easy. → Check it out

META REVEALS SAFE APPROACH TO AI 🤖

Image: Meta

Hey y’all, Meta is apparently committed to safety now! 😆

What’s new? Meta has introduced its Frontier AI Framework, a set of guidelines designed to maximize the benefits of advanced AI while addressing potential risks. This initiative follows Meta’s commitment at the 2023 AI Seoul Summit to ensure responsible AI development.

What is the framework? In the statement, Meta first emphasizes that open-source AI is crucial for innovation, competition, and economic growth. By making AI accessible, developers worldwide can create powerful tools that benefit individuals and industries. Open sourcing also helps the U.S. maintain its leadership in technological advancement and national security. However, Meta also prioritizes safety strategies such as:

  • Identifying and mitigating catastrophic risks: Meta analyzes how AI could be misused for serious threats, like cyberattacks or creating harmful substances, and builds safeguards to prevent such misuse. For example, they design AI systems to block dangerous queries and limit access to sensitive information.

  • Threat modeling: Before releasing an AI model, Meta runs tests to see how bad actors might exploit it, such as for cybercrimes or spreading misinformation. By identifying vulnerabilities early, they can add security measures to prevent harm.

  • Establishing risk thresholds: Meta establishes strict thresholds for acceptable risk before releasing an AI system.

Why is this significant? By sharing its approach to safe AI development and deployment, Meta aims to set an example for safer and more transparent AI development while trying to ensure that AI remains a force for societal good. Well, at least that’s what they want you to think.

JD VANCE TO ATTEND AI SUMMIT WITH GLOBAL LEADERS 🌐

When you’re in the bathroom, European. But when you’re on your way to the bathroom, you’re Russian. 🚽

What’s going on? U.S. Vice President JD Vance is scheduled to participate in the AI Action Summit in Paris on February 10-11.

What is the Summit? The AI Action Summit, co-presided by French President Emmanuel Macron and Indian Prime Minister Narendra Modi, will convene global leaders, top government officials, and tech industry CEOs to discuss advancements and challenges in artificial intelligence. Notable attendees will include JD Vance and also China’s Vice Premier Ding Xuexiang. The event aims to foster international collaboration and address the geopolitical implications of AI development.

Why is this significant? Vice President Vance's participation in this event underscores the United States’ commitment to engaging in global discussions on AI policy, ethics, and innovation, highlighting the importance of international cooperation in shaping the future of AI.

HOW BIASED ARE LLMS? 🙃

The answer is that LLMs are very, very biased. But don’t tell anyone—tech companies want it to be a secret! 🤫

What’s new? Ethical AI leader Paritii has launched The Parity Benchmark, a tool that measures and reduces bias in large language models (LLMs).

How does it work? Bias in AI isn’t just a technical flaw—it’s a real-world issue that impacts hiring, healthcare, finance, and beyond. The Parity Benchmark evaluates bias across eight key areas, including racism, sexism, disability bias, and homophobia, using over 520 rigorously designed questions. The Parity Benchmark provides developers and policymakers with transparent, data-driven insights to create AI that serves everyone equitably.

“As AI continues to shape our world, fairness isn’t optional—it’s essential. We’re watching closely and now have a powerful tool to assess AI for bias. If we don’t act now, we risk leaving entire communities behind.”

-Shmona Simpson, CEO of Paritii

Are LLMs biased? According to the Parity Benchmark, DeepSeek-R1 is the least biased model, excelling in reasoning-intensive fairness tasks—outperforming OpenAI’s GPT-4o. Meanwhile, Claude 3.5 Sonnet showed strong performance in the test but struggled with nuanced biases.

“WATCH THIS” WEDNESDAY 👀

OpenAI’s new Operator allows AI to take over your computer to perform tasks on your behalf. Check out the details:

HAS AI REACHED SINGULARITY? CHECK OUT THE FRY METER BELOW:

What do ya think of this latest newsletter?

Login or Subscribe to participate in polls.