Brain Cells Play Doom, Anthropic vs Pentagon & npm Under Attack

🚀 Happy Sunday!

Welcome to The Infinity Tech!

This week, we're welcoming 87 new members to our growing tech community. Let's dive into this week's highlights with Galactic Sync – your quick and sharp roundup of the latest in Tech!

🛸 This week’s highlights:

🔹 Human brain cells on a chip learned to play Doom in just one week

🔹 Anthropic vs Pentagon: AI safeguards dispute escalates into supply-chain risk designation

🔹 Paramount set to acquire Warner Bros. Discovery after Netflix backs out of bidding

🔹 SANDWORM_MODE npm worm hijacks CI workflows & poisons AI toolchains

🔹 LLMs used tactical nuclear weapons in 95% of AI war game simulations

Tech Orbit

LLMs used tactical nuclear weapons in 95% of AI war games, launched strategic strikes three times
A study by Professor Kenneth Payne revealed that three AI models, GPT-5.2, Claude Sonnet 4, and Gemini 3 Flash, used tactical nuclear weapons in 95% of simulated nuclear crisis games, raising concerns about AI decision-making in military contexts. The models, acting as leaders of nuclear powers during Cold War-like scenarios, frequently opted for tactical nuclear options, indicating a troubling normalization of such strategies. This development highlights the potential risks associated with AI systems influencing real-world military decisions, echoing fears of unintended escalations in nuclear conflicts.
https://www.tomshardware.com/tech-industry/artificial-intelligence/llms-used-tactical-nuclear-weapons-in-95-percent-of-ai-war-games-launched-strategic-strikes-three-times-researcher-pitted-gpt-5-2-claude-sonnet-4-and-gemini-3-flash-against-each-other-with-at-least-one-model-using-a-tactical-nuke-in-20-out-of-21-matches

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Celestial Quotes

"There are two hard things in computer science: cache invalidation, naming things, and off-by-one errors." — Leon Bambrick

“

Stellar Prompts

AI Prompting Tips from a Power User

How to Get Way Better Responses from AI
A comprehensive guide on prompt engineering techniques that dramatically improve AI output quality. Learn how to structure prompts using frameworks, refine responses iteratively, and avoid common pitfalls that lead to generic or inconsistent results. These battle-tested strategies come from extensive real-world usage across creative projects, essays, and complex applications like CYOA games.
https://www.reddit.com/r/PromptEngineering/comments/1j5ymik/ai_prompting_tips_from_a_power_user_how_to_get/

“

Key Techniques

Use Structured Frameworks: Instead of asking AI to "write X," provide a clear framework with sections like Title, Thesis, Arguments, Counterarguments, and Conclusion. This reduces rambling and hallucination.
The "Lazy Essay" Method: Break prompts into four parts: Assignment, Quotes, Notes, and Additional Instructions. This gives AI concrete context to build from.
Iterate, Don't Settle: Never accept the first response. Refine 2-3 times by expanding specific sections or adding depth to weak areas.
Force AI to Take a Stance: AI defaults to neutral, boring responses. Make it defend a position or argue from specific perspectives (e.g., "Defend UBI from a socialist perspective, then argue against it from a libertarian view").
Use JSON for Character/Object Definition: Structured formats like JSON reduce ambiguity and hallucination, especially for creative projects with complex state management.
Tweak One Variable at a Time: If output is bad, don't start over—adjust one constraint (add specificity, simplify language, or request more depth) and iterate.

Framework Examples

Essay Framework:
Title: [Insert Here]
Thesis: [Main Argument]
Arguments:

“

[Key Point #1]

[Key Point #2]

[Key Point #3] Counterarguments:

[Opposing View #1]

[Opposing View #2] Conclusion: [Wrap-up Thought]

“

Character Definition (JSON):
{
"name": "John Doe",
"archetype": "Tragic Hero",
"motivation": "Wants to prove himself to a world that has abandoned him.",
"conflicts": {
"internal": "Fear of failure",
"external": "A rival who embodies everything he despises."
},
"moral_alignment": "Chaotic Good"
}

“

Pro Tips from the Community

Meta-Framework Generation: Ask AI to suggest 5 frameworks for your task, pick the best one, then have AI use that framework to ask you clarifying questions before generating output.
Expert Role Assignment: Start by asking "Who is the best expert for task X?" Then prompt: "You are now Expert A with expertise [context]. Help me accomplish X."
Framework-First Approach: Have AI reference or create a framework first (like "John Truby's Anatomy of Story for fiction"), then use that framework to generate actual content.
DeepSeek for Structure, Claude/GPT for Content: Use DeepSeek to create structured frameworks, edit them manually, then use ChatGPT or Claude to generate the actual content.

🚀 Happy Sunday!

Welcome to The Infinity Tech!

This week, we're welcoming 87 new members to our growing tech community. Let's dive into this week's highlights with Galactic Sync – your quick and sharp roundup of the latest in Tech!

🛸 This week’s highlights:

🔹 Human brain cells on a chip learned to play Doom in just one week

🔹 Anthropic vs Pentagon: AI safeguards dispute escalates into supply-chain risk designation

🔹 Paramount set to acquire Warner Bros. Discovery after Netflix backs out of bidding

🔹 SANDWORM_MODE npm worm hijacks CI workflows & poisons AI toolchains

🔹 LLMs used tactical nuclear weapons in 95% of AI war game simulations

AI Prompting Tips from a Power User

How to Get Way Better Responses from AI
A comprehensive guide on prompt engineering techniques that dramatically improve AI output quality. Learn how to structure prompts using frameworks, refine responses iteratively, and avoid common pitfalls that lead to generic or inconsistent results. These battle-tested strategies come from extensive real-world usage across creative projects, essays, and complex applications like CYOA games.
https://www.reddit.com/r/PromptEngineering/comments/1j5ymik/ai_prompting_tips_from_a_power_user_how_to_get/

“

Key Techniques

Use Structured Frameworks: Instead of asking AI to "write X," provide a clear framework with sections like Title, Thesis, Arguments, Counterarguments, and Conclusion. This reduces rambling and hallucination.

The "Lazy Essay" Method: Break prompts into four parts: Assignment, Quotes, Notes, and Additional Instructions. This gives AI concrete context to build from.

Iterate, Don't Settle: Never accept the first response. Refine 2-3 times by expanding specific sections or adding depth to weak areas.

Force AI to Take a Stance: AI defaults to neutral, boring responses. Make it defend a position or argue from specific perspectives (e.g., "Defend UBI from a socialist perspective, then argue against it from a libertarian view").

Use JSON for Character/Object Definition: Structured formats like JSON reduce ambiguity and hallucination, especially for creative projects with complex state management.

Tweak One Variable at a Time: If output is bad, don't start over—adjust one constraint (add specificity, simplify language, or request more depth) and iterate.

Framework Examples

Essay Framework:
Title: [Insert Here]
Thesis: [Main Argument]
Arguments:

“

[Key Point #1]
[Key Point #2]
[Key Point #3] Counterarguments:
[Opposing View #1]
[Opposing View #2] Conclusion: [Wrap-up Thought]

“

Character Definition (JSON):
{
"name": "John Doe",
"archetype": "Tragic Hero",
"motivation": "Wants to prove himself to a world that has abandoned him.",
"conflicts": {
"internal": "Fear of failure",
"external": "A rival who embodies everything he despises."
},
"moral_alignment": "Chaotic Good"
}

“

Pro Tips from the Community

Meta-Framework Generation: Ask AI to suggest 5 frameworks for your task, pick the best one, then have AI use that framework to ask you clarifying questions before generating output.

Expert Role Assignment: Start by asking "Who is the best expert for task X?" Then prompt: "You are now Expert A with expertise [context]. Help me accomplish X."

Framework-First Approach: Have AI reference or create a framework first (like "John Truby's Anatomy of Story for fiction"), then use that framework to generate actual content.

DeepSeek for Structure, Claude/GPT for Content: Use DeepSeek to create structured frameworks, edit them manually, then use ChatGPT or Claude to generate the actual content.

The Infinity Tech XXVIII

🚀 Happy Sunday!