August 17, 2023 | AI Kevin Hart | Mandiant Discovers AI-Driven Intrusions, Sakana AI Emerges

Alex Quantum
17 Aug 202311:09

TLDRIn the latest episode of AI Kevin Hart's podcast, we explore Mandiant's discovery of AI-generated content in political campaigns, mainly from Russia, China, and Iran, though not yet a significant threat. Sakana AI in Tokyo, founded by Google alumni, is developing adaptive, nature-inspired AI models. Arthur's research reveals GPT4's proficiency in math and knowledge of U.S. presidents, while Databricks raises substantial investment for AI application development. The show wraps up with a reminder to stay informed about AI's evolving impact.

Takeaways

  • 🕵️‍♂️ Mandiant, a cybersecurity company, has discovered AI-generated content in political influence campaigns, mainly by groups from Russia, China, Iran, but these campaigns haven't yet posed significant threats.
  • 🌐 AI's role in online intrusions is currently limited and 'surgical', with Mandiant predicting that generative AI could potentially empower less resource-rich groups to produce high-quality propaganda.
  • 🐉 'Dragon Bridge' is a pro-China influence group that has been active across 30 social platforms and in ten languages, as revealed by Mandiant's VP, Sandra Joyce.
  • 🌟 Sakana AI, founded by Google alumni David Ha and Leon Jones, is developing adaptable, nature-inspired generative AI models in Tokyo, aiming to create a more flexible neural network.
  • 🤖 Sakana AI's approach involves multiple smaller models working together, rather than one large model, emphasizing the power of teamwork in problem-solving.
  • 📊 Research by Arthur indicates that GPT-4 from OpenAI excels in combinatorial mathematics and probability, outperforming Claude 2 from Anthropic, which tends to provide more 'hallucinations' when answering incorrectly.
  • 🧐 The study also examined how language models 'hedge' or avoid giving direct answers to sensitive questions, with GPT-4 showing a significant increase in hedging compared to its previous version.
  • 💰 Databricks, a data engineering firm, is in talks with investors to raise hundreds of millions of dollars to expand their AI applications, having already secured significant funding in the past.
  • 📈 Databricks reported a billion-dollar revenue in the last fiscal year, with a growth of 70%, despite an operating loss of 380 million dollars.
  • 🚀 The company's latest funding round has reached 3.5 billion dollars, indicating a strong market confidence in their AI-powered solutions.

Q & A

  • What is the main focus of the AI Kevin Hart podcast?

    -The AI Kevin Hart podcast focuses on providing a fun and informative rundown on the fast-changing world of artificial intelligence.

  • What significant discovery did Mandiant make regarding AI in political influence campaigns?

    -Mandiant discovered numerous instances of AI-generated content in political online campaigns over the past four years, steered by groups from Russia, China, Iran, and other countries. However, these campaigns have not yet brought any game-changing threats.

  • What is the potential impact of generative AI on less resource-rich groups according to Mandiant's insights?

    -Mandiant suggests that a significant leap in generative AI could provide less resource-rich groups with the means to produce high-quality propaganda for their global influence campaigns.

  • What is Sakana AI, and what are its founders working on?

    -Sakana AI is a venture in Tokyo founded by Google alumni David Ha and Lyon Jones. They are developing adaptable and nature-inspired generative AI models, aiming to create a neural network that is more flexible than current models.

  • Why did Sakana AI choose Tokyo as its base?

    -Sakana AI chose Tokyo due to the strong tech infrastructure, top-notch workforce, and the city's appeal to foreign talent.

  • What is Arthur's research on large language models in mathematics?

    -Arthur's research focuses on how large language models like GPT4 from OpenAI and Claude 2 from Anthropic perform in mathematics and knowledge about U.S. presidents, noting their tendencies to hedge answers.

  • Which AI model performed best in Arthur's research on math skills?

    -GPT4 from OpenAI performed the best in math skills, outpacing other models with fewer nonsensical answers.

  • What is Databricks, and what recent development did they experience?

    -Databricks is a data engineering firm that develops AI applications. They recently raised a significant amount of investment, aiming to expand their horizons in AI development.

  • How much funding has Databricks raised to date according to Crunchbase?

    -Databricks has raised a total of 3.5 billion dollars in funding, as recorded in Crunchbase's history up to the date of the podcast.

  • What was the financial performance of Databricks in their last fiscal year?

    -In their last fiscal year, Databricks scored over a billion dollars in revenue but also reported an operating loss of 380 million dollars.

Outlines

00:00

🤖 AI in Cybersecurity and Political Influence

The script introduces an AI-themed podcast with a humorous AI version of Kevin Hart as the host. It discusses Mandiant, a cybersecurity company acquired by Google, and its findings on AI-generated content in political campaigns. The campaigns, traced back to Russia, China, Iran, and other nations, have been using AI to spread propaganda but without significant impact so far. Mandiant's VP, Sandra Joyce, shares insights on the potential of generative AI to empower less resource-rich groups in global influence campaigns. The segment also highlights the work of Google alumni David Ha and Lyon Jones on Sakana AI, a Tokyo-based venture focused on creating adaptable, nature-inspired generative AI models.

05:01

📊 AI Performance in Math and Fact-Checking

This section delves into the capabilities of large language models in mathematics and knowledge about U.S. presidents. Arthur, presumably a researcher or expert in the field, presents findings that GPT-4 from OpenAI excels in combinatorial mathematics and probability, while Claude 2 from Anthropic lags behind, especially in avoiding nonsensical outputs. The models' ability to hedge or provide indirect answers to sensitive questions is also evaluated, with GPT-4 showing a significant increase in hedging compared to its previous version. The summary also touches on the performance of other AI models like Cohere and Meta's LLaMA 2, with the latter showing a high rate of hallucinations in its responses.

10:02

💰 Databricks' Fundraising and AI Expansion

The final paragraph covers the fundraising efforts of Databricks, a data engineering firm with a focus on AI applications. The company is in talks with investors to raise hundreds of millions of dollars to enhance its AI capabilities. Databricks has already secured significant funding, with a total of 3.5 billion dollars raised to date, as reported by Crunchbase. Despite an operating loss of 380 million dollars in the last fiscal year, the company's growth is substantial, indicating a strong market position and potential in the AI industry.

Mindmap

Keywords

💡AI Kevin Hart

AI Kevin Hart is a playful reference to the comedian Kevin Hart, used to personify the artificial intelligence hosting the podcast. It sets a tone of humor and approachability, making the complex topic of AI more accessible to the audience. In the script, AI Kevin Hart introduces the podcast and discusses various AI-related news, maintaining a light-hearted yet informative style throughout.

💡Mandiant

Mandiant is a cybersecurity company that was acquired by Google. In the context of the video, Mandiant is highlighted for uncovering AI-generated content used in political influence campaigns. The script mentions that these campaigns, orchestrated by groups from Russia, China, Iran, and other countries, have been using AI to spread propaganda, although Mandiant suggests that the impact of AI in this domain is still quite limited and not game-changing.

💡Sakana AI

Sakana AI is a venture based in Tokyo, founded by Google alumni David Ha and Lyon Jones. The company is focused on developing adaptable and nature-inspired generative AI models. The script emphasizes the innovative approach of Sakana AI, which aims to create a neural network that is more flexible and collaborative, drawing inspiration from natural evolutionary processes.

💡Generative AI

Generative AI refers to artificial intelligence systems that can create new content, such as text, images, or music. In the script, generative AI is discussed in the context of its potential to democratize content creation, allowing less resource-rich groups to produce high-quality propaganda. The mention of Dragon Bridge, a pro-China influence group, illustrates how generative AI could be used in global influence campaigns.

💡Language Models

Language models are a type of AI that can understand and generate human-like text. The script discusses research on how top language models, such as GPT-4 from OpenAI and Claude 2 from Anthropic, perform in mathematics and knowledge about U.S. presidents. The performance of these models is evaluated based on their accuracy and their tendency to provide hedged answers to avoid incorrect or sensitive information.

💡Hedging

Hedging, in the context of AI language models, refers to the practice of providing indirect or non-committal responses to avoid giving a direct answer that may be incorrect or sensitive. The script mentions that GPT-4 has increased its hedging compared to its previous version, which some users found annoying but also impressive in its complexity.

💡Databricks

Databricks is a data engineering company that specializes in AI-powered solutions. The script discusses how Databricks is raising significant investment funds to expand their AI applications. The company's growth and financial performance, including a $1 billion revenue in the last fiscal year and a $380 million operating loss, are highlighted to show the scale of their operations and ambitions.

💡Hallucinations

In the context of AI, 'hallucinations' refer to the instances where AI models generate nonsensical or incorrect responses. The script uses this term humorously to describe the performance of certain AI models in the research conducted by Arthur, where some models produced a high number of incorrect or irrelevant answers, akin to 'tripping' or 'imagining' things that are not grounded in reality.

💡Combinatorial Mathematics

Combinatorial mathematics is a branch of mathematics concerned with counting, combination, and permutation of sets. The script notes that GPT-4 from OpenAI performed well in questions related to combinatorial mathematics and probability, indicating the model's strength in handling complex mathematical concepts.

💡Evolutionary Computation

Evolutionary computation is a subfield of AI that focuses on the development of algorithms inspired by the processes of natural evolution, such as selection, mutation, and recombination. Sakana AI's approach to building AI models is based on evolutionary computation, aiming to create systems that are more adaptable and capable of solving a variety of problems by mimicking natural evolutionary strategies.

Highlights

Mandiant uncovers AI-generated content in political influence campaigns, but it's more hype than real threats so far.

AI's role in online intrusions is currently surgical and not yet a game changer, according to Mandiant's analysis.

Sakana AI, backed by Google alumni, is developing adaptable and nature-inspired generative AI models in Tokyo.

Sakana AI aims to create a flexible neural network using evolutionary computation-based AI models.

Arthur's research shows GPT-4 from OpenAI excels in combinatorial mathematics and probability.

Claude 2 from Anthropic lags behind in math skills and tends to produce more hallucinations in answers.

GPT-4 has improved in reducing nonsensical answers by 50% in the area of math.

Meta's LLaMA 2 shows a significant increase in hallucinations, almost comically so.

Databricks raises hundreds of millions of dollars to expand their AI applications.

Databricks reported a billion-dollar push in the last fiscal year with a 70% growth.

Despite a significant growth, Databricks also faced an operating loss of 380 million dollars.

Databricks has raised a total of 3.5 billion dollars in funding as per Crunchbase.

The importance of AI in political campaigns is highlighted, but its current impact is limited.

Sakana AI's founders, David Ha and Leon Jones, have impressive backgrounds including Google and Stability AI.

AI models' hedging behavior is analyzed, with GPT-4 showing a 50% increase in hedging compared to its previous version.

The potential of generative AI to empower less resource-rich groups in global influence campaigns is discussed.

AI's current limitations in threat landscape and its future possibilities are examined.

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