Yesterday Palantir announced its Artificial Intelligence Platform.
Here's how it transforms the future of military and defence:
AIP has 3 core pillars:
• Deploys LLMs and AI across classified networks & devices
• Connects classified data to create a real-time environment
• Enables security features controlling AI access
I feel guardrails & security are critical for sensitive data here.
Let's dive in
We'll start with an example: you're a military operator.
You get an alert of activity nearby & ask AIP to show more details.
AIP:
• Uses satellite data & AI to build likely battle formations
• Surfaces the idea of deploying a nearby drone to collect video
You task the drone to capture video.
The footage confirms a threat and shows a tank.
You ask AIP what to do next.
AIP:
• Generates 3 courses of action to target the enemy equipment
• Automatically sends these options up the chain of command
Let's take a look at what's happening behind the scenes.
As you ask questions, AIP:
• Traverses information across both public and classified sources
• Enforces which part of the organisation the LLM has access to
• Auto tag & protect data respecting permissions
You now assess the courses of action generated by AIP.
AIP:
• Highlights key information
• Find personnel & armament requirements
• Determines time required & status of supplies
It then establishes the closest unit before building an automated terrain analysis model.
Things get even crazier.
AIP:
• Suggests optimal route based on terrain analysis
• Identifies and disrupts enemy communication nodes
You can then use AIP to summarise and submit the operation plan.
AIP has successfully helped you determine the course of action.
I'm blown away by this application of AI in military situations.
I can only feel it makes AIP a critical tool for modern military operations moving forward.
The takeaway?
AI-powered militaries are quickly becoming a reality.
Google just announced Med-Gemini for medical tasks.
It beats GPT-4 on all benchmarks:
Med-Gemini is a family of Gemini models fine-tuned for medical tasks.
The MedQA-USMLE benchmark is a dataset of USMLE-style multiple-choice questions used to evaluate the medical knowledge and reasoning capabilities of AI systems.
Med-Gemini set a new state-of-the-art of 91.1% on this benchmark.
It also outperformed GPT-4 models by an average margin of 44.5% on 7 multimodal benchmarks.
I just launched my course on Understanding Prompt Engineering.
My 10 favourite strategies to get the best results when prompting ChatGPT:
1. Clarity
• Include the relevant context to reduce ambiguity.
• Example: “I'm an 8th-grade math teacher preparing to teach trigonometry.”
2. Specificity
• The more specific you are, the closer you get to your desired answer.
• Example: “Design a lesson plan tailored for a 60-minute session with 20 students.”
In his essay, "Why AI Will Save the World," Marc Andreessen presents the argument that AI could do more than make our lives better—it could quite conceivably save the world.
Here's why AI has the potential to revolutionise life on Earth:
Marc Andreessen is the Co-Founder and general partner of the VC firm a16z.
He refutes fears surrounding AI and presents an action plan for the West to achieve AI dominance.
Andreessen believes AI is just a tool—like fire and rocks—that can be used for good or bad.
Andreessen debunks four key AI concerns:
1. Autonomous killer robots — AI isn't a sentient being, it's a tool with no inherent desires.
2. AI destroying society — historical evidence suggests tech advancements help society, not harm it.