Deepseek Coder v2 just one-shot fixed the CrowdStrike Cyber Incident?
TLDRThe video discusses a major cyber incident caused by a coding error in CrowdStrike's Windows Defender plug-in, affecting billions of computers. It explores whether an AI model like Deepseek Coder could have prevented the incident by identifying the error. The discussion also covers the potential of local AI models as co-pilots in coding and troubleshooting.
Takeaways
- 😨 CrowdStrike experienced a massive cybersecurity incident affecting Windows PCs running their Windows Defender plug-in.
- 💻 The incident is considered one of the largest and most expensive in computer history, affecting billions of computers.
- 🛑 A C coding error causing a buffer overflow was the root cause of the problem, slipping past professional engineers at CrowdStrike.
- 🤖 The idea of using an AI model like Deepseek Coder to solve such issues was proposed on Twitter, sparking a discussion on AI's role in cybersecurity.
- 🔍 Deepseek Coder, when given enough context, was able to identify the exact C coding error, suggesting AI could have prevented the incident.
- 🌐 The model is open-source and optimized for CPU use, making it accessible and potentially useful for local troubleshooting.
- 🔧 The script discusses the potential of using AI as a co-pilot for coding and system reliability, especially as other services become costly.
- 🔑 The importance of a well-crafted system prompt for AI to provide accurate and helpful responses is highlighted.
- 💡 The script suggests that AI could be used for real-time troubleshooting and aiding engineers in fixing critical issues like the CrowdStrike incident.
- 📊 The discussion includes the technical specifications needed to run Deepseek Coder, including RAM requirements for different quantizations.
- 🔗 Links to resources for downloading and using the model locally are provided, emphasizing the ease of access to powerful AI tools.
Q & A
What major issue did CrowdStrike face according to the transcript?
-CrowdStrike faced a significant issue where their Windows Defender plug-in caused a widespread cyber security incident, affecting billions of computers and resulting in what is considered one of the largest and most expensive cyber security incidents in history.
What was the root cause of the CrowdStrike cyber incident?
-The root cause was a C coding error that led to a buffer overflow. This elementary mistake bypassed the professional engineers at CrowdStrike and was distributed to billions of computers.
What is Deepseek Coder and how could it have potentially prevented the CrowdStrike incident?
-Deepseek Coder is an AI coding model that can analyze code and identify errors. Given the right context and evidence, it could have potentially caught the coding error that caused the CrowdStrike incident, thus preventing it.
How does the AI model Deepseek Coder work in the context of the CrowdStrike incident?
-Deepseek Coder, when provided with sufficient context and evidence, can analyze the situation and identify the exact C coding error. It could have been used to troubleshoot and prevent the incident if it was integrated into the development process at CrowdStrike.
What is the significance of the open-source nature of the AI model mentioned in the transcript?
-The open-source nature of the AI model allows it to be freely available and adaptable, which means it can be fine-tuned and optimized for various uses, such as running on a CPU or GPU, and can be used to prevent or troubleshoot cyber security incidents like the one at CrowdStrike.
What is the role of the AI developer Niston in the context of the CrowdStrike incident?
-Niston, an AI developer, posed a question on Twitter about using an AI model like Deepseek Coder to solve the CrowdStrike incident. He also provided a full system prompt to test the capabilities of the AI in identifying and addressing the issue.
What is the importance of a well-crafted system prompt in utilizing AI models like Deepseek Coder?
-A well-crafted system prompt is crucial for guiding the AI model to understand the context and specific requirements of a task. It helps the model to provide accurate and relevant responses, as demonstrated in the potential prevention of the CrowdStrike incident.
How does the AI model's ability to run on a CPU impact its accessibility and practicality?
-The ability to run the AI model on a CPU makes it more accessible and practical for a wider range of users and applications. It allows for faster and more efficient processing without the need for specialized hardware like GPUs.
What are the hardware requirements to run the Deepseek Coder model as mentioned in the transcript?
-To run the Deepseek Coder model, especially the 4-bit quantization version, one would need approximately 192 GB of RAM and a powerful CPU, such as an M2 Mac Ultra. For the 8-bit precision, 256 GB of RAM is required.
How does the transcript discuss the future potential of AI models like Deepseek Coder in the field of software engineering?
-The transcript discusses the potential of AI models like Deepseek Coder to act as site reliability engineers or to aid human engineers in fixing complex problems. It highlights the speed and efficiency of these models compared to traditional methods like internet searches or documentation.
Outlines
😨 Massive Cybersecurity Incident at CrowdStrike
The script discusses an unprecedented cybersecurity incident at CrowdStrike, where a coding error led to a buffer overflow, affecting billions of Windows PCs running the Windows Defender plug-in. The incident is considered one of the largest and most costly in computer history. The video explores the idea of using an AI model, specifically 'deepseek coder,' to potentially identify and rectify such errors. It highlights the possibility of AI preventing such incidents and the importance of context in AI's ability to understand and solve complex issues. The discussion also touches on the open-source nature of the AI model and its optimization for CPU usage, making it accessible and potentially revolutionary for local co-pilots in coding and troubleshooting.
🤖 AI's Role in Diagnosing and Fixing Cybersecurity Breaches
This paragraph delves into the experiment of using an AI model to diagnose the CrowdStrike issue. It recounts the initial failure and subsequent success of the AI in identifying the root cause when provided with ample context. The narrative includes the use of a system prompt adopting the persona of a famous software engineer, John Carmack, to add a layer of humor and authenticity to the AI's responses. The paragraph also discusses the technical specifications needed to run the AI model, such as the amount of RAM required for different quantizations, and provides links to resources for those interested in implementing a similar setup. The focus is on demonstrating the practical application of AI in real-world problem-solving and the potential for AI to serve as a valuable tool for site reliability engineers and developers.
🚀 The Potential of AI in Enhancing Engineering and Troubleshooting
The final paragraph wraps up the video by emphasizing the learning opportunity from the AI's application in diagnosing the CrowdStrike incident. It invites viewers to engage with the content through likes, subscriptions, and shares, and teases the continuation of the series. The script suggests that AI models could be instrumental in SRE and quick troubleshooting tasks, indicating a future where AI agents might assist engineers in resolving complex issues more efficiently than traditional methods. The importance of a concise and well-crafted system prompt for effective AI interaction is also highlighted, marking the key to unlocking the full potential of AI in assisting with technical challenges.
Mindmap
Keywords
💡Deepseek Coder
💡CrowdStrike
💡C coding error
💡Buffer overflow
💡LLM (Large Language Model)
💡Niston
💡Open source LLMs
💡CPU (Central Processing Unit)
💡Windows Defender
💡System prompt
💡Quant
Highlights
CrowdStrike experienced a massive cyber incident affecting Windows PCs running their Windows Defender plug-in.
The incident is considered one of the largest and most expensive in computer history.
A C coding error caused a buffer overflow, bypassing professional engineers at CrowdStrike.
The error was pushed to billions of computers, causing widespread issues.
A question on Twitter pondered whether an AI model could have prevented the incident.
Deepseek Coder, when given enough context, caught the C coding error in a simulated scenario.
Open source AI models could potentially prevent similar cybersecurity incidents.
Deepseek Coder is an open model fine-tuned and optimized for CPU use.
The model can run on 48 CPU cores, with specs detailed later in the transcript.
AI models like Deepseek Coder are entering a 'Golden Era' of local co-piloting in coding.
GitHub Copilot's pricing is being compared unfavorably to free local AI models.
Niston, an AI developer, provided a test case for Deepseek Coder's capabilities.
The initial test did not perfectly solve the issue but was improved upon with more context.
Deepseek Coder's responses included troubleshooting steps for a compromised computer.
The model provided insights into how CrowdStrike files interact with Windows Defender.
A full system prompt was used to simulate a response from a software engineer.
The prompt adopted the persona of John Carmack, known for creating the video game Doom.
The model's responses were informative yet humorously unstable, reflecting Carmack's persona.
Running the model requires specific amounts of RAM, depending on the precision level.
Different quantized versions of Deepseek Coder are available for various hardware capabilities.
The smallest quantized version requires only 73GB, making it portable on a flash drive.
The potential of AI models as site reliability engineers or problem-solving aids is highlighted.
The importance of a well-crafted system prompt for effective AI model interaction is emphasized.