Alex Banks Profile picture
Apr 27, 2023 11 tweets 4 min read Read on X
Yesterday Palantir announced its Artificial Intelligence Platform.

Here's how it transforms the future of military and defence: Image
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 Image
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.
Follow me @thealexbanks for more on AI.

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Help everyone learn and retweet this thread:
You can read more about it in Palantir's announcement here:
palantir.com/platforms/aip/

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More from @thealexbanks

Sep 11, 2025
Google's Nano Banana is incredible.

How to turn any photo into a 3D AI figure:

1. Open Gemini and select 2.5 Flash
2. Upload your image
3. Click “Create images”

Use this exact prompt (in comments):
Full prompt:

“Create a 1/7 scale commercialized figure of the character in the photo. The style should be realistic, with clearly defined features, and placed in a real-world environment. The figure should be positioned on a computer desk, standing on a round transparent acrylic base with no text. On the computer screen, display the Adobe Illustrator modelling process of this figure. Next to the screen, place a BANDAI-style toy packaging box printed with the original photo.”
Why this matters:

→ Anyone can now create professional mockups
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OpenAI just published their official prompting guide for GPT-5.

Master these 6 critical prompting techniques: Image
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2. Use the right reasoning effort
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I just fell for one of the best scams I've seen on X.

Here's what you need to know (and how to avoid it): Image
1. The intro

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I do a lot of media collaborations, so I thought this could be a nice opportunity.

Her profile looked normal with TechCrunch article reposts. Image
Image
2. The layup

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However, she was insistent on agreeing to something in the DM.

This was when she sent the "Google Calendar" link... Image
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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. Image
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It also outperformed GPT-4 models by an average margin of 44.5% on 7 multimodal benchmarks. Image
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I just launched my course on Understanding Prompt Engineering.

My 10 favourite strategies to get the best results when prompting ChatGPT: Image
1. Clarity

• Include the relevant context to reduce ambiguity.
• Example: “I'm an 8th-grade math teacher preparing to teach trigonometry.”
2. Specificity

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The most popular motorsport in the world.

Formula 1.

In 2022, it had a cumulative TV audience of 1.54 billion.

Here's how AI and data are disrupting the sport forever: Image
At the 2022 Canadian Grand Prix, Fernando Alonso was starting P2 on the grid.

This was his best qualifying result in a decade.

Before the race began, he was asked:

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How was Alonso able to predict P6 or P7?

The answer lies in the data, specifically, the outcomes of race simulations. Image
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