In a world where it is becoming increasingly clear that the age of artificial intelligence is inevitable, much of the fear directed towards the technology has to do with machines eliminating humans. This hasn’t happened yet, but what better way to speed up the process than by having AIs practice fighting each other first? This is exactly what Google’s DeepMind is trying to do just to see what would happen.
Now, it’s important to keep in mind that DeepMind is not out to create violent robots on purpose. Rather, what it is trying to accomplish is determine how AIs react to particular situations where they are required to engage opposing forces or challenges, Engadget reports.
By pitting two AIs against each other, both of which have differing goals that they need to accomplish, though, not necessarily in direct conflict, it’s important to find out if they decide to fight each other or cooperate. DeepMind is doing this through two games that were created exactly for this scenario.
One is called Gathering and the other is called Wolfpack. The former involves two units tasked to collect apples, thus the title Gathering. The units are also given laser weaponry, which allows them to remove the other from the game in order to collect as many of the apples as possible.
As for Wolfpack, the idea is for the two AIs to work together in order to capture a third unit by navigating a series of blocky obstacles. The idea is to have the two AIs figure out the best way to corner their prey.
So, what were the results? In Gathering, the two AIs displayed high levels of aggression, particularly when the apples start running out. In contrast, the algorithms worked together well in Wolfpack. Interestingly enough, the AIs also became aggressive and cooperative in the two games respectively when given a boost in computation power.
This suggests that with current AI technology, the behavior of the machines will depend largely on the rules imposed on them, The Verge reports. Depending on the context, the machines will either work with others or eliminate them.


ASML’s EUV Lithography Machines Power Europe’s Most Valuable Tech Company
US Judge Rejects $2.36B Penalty Bid Against Google in Privacy Data Case
Alibaba-Backed Moonshot AI Unveils Kimi K2.5 to Challenge China’s AI Rivals
Rewardy Wallet and 1inch Collaborate to Simplify Multi-Chain DeFi Swaps with Native Token Gas Payments
SpaceX Reports $8 Billion Profit as IPO Plans and Starlink Growth Fuel Valuation Buzz
SoftBank Shares Surge as It Eyes Up to $30 Billion New Investment in OpenAI
Advantest Shares Hit Record High on Strong AI-Driven Earnings and Nvidia Demand
Sandisk Stock Soars After Blowout Earnings and AI-Driven Outlook
Samsung Electronics Posts Record Q4 2025 Profit as AI Chip Demand Soars
Apple Faces Margin Pressure as Memory Chip Prices Surge Amid AI Boom
Apple Forecasts Strong Revenue Growth as iPhone Demand Surges in China and India
ASML’s EUV Monopoly Powers the Global AI Chip Boom
Google Disrupts Major Residential Proxy Network IPIDEA
SpaceX Updates Starlink Privacy Policy to Allow AI Training as xAI Merger Talks and IPO Loom
Nvidia’s $100 Billion OpenAI Investment Faces Internal Doubts, Report Says
Elon Musk’s Empire: SpaceX, Tesla, and xAI Merger Talks Spark Investor Debate
Meta Faces Lawsuit Over Alleged Approval of AI Chatbots Allowing Sexual Interactions With Minors 



