When I was a child, SimCity 2000 felt like a fun, animated set of urban-themed Lego blocks to tinker with. Revisiting the game roughly three decades later, though, I've found the weight of my adult responsibilities tempering my role as god-mayor of a tiny metropolis.

The tough economics of establishing a thriving city barely concerned me as a child. Rather than building up a durable tax base from a slowly growing city of happy citizens, I'd usually type in an infinite money cheat or load up the handy Urban Renewal Kit expansion to build whatever I wanted, wherever I wanted, as quickly as possible.

Thus unleashed, my childhood self would go mad with unchecked power, petulantly turning dials just to see what happened to the citizens in my virtual ant farm. Sometimes I'd try to arrange a repeating grid of fancy arcologies and police stations, trying to create a regimented utopia out of the game's most expensive (and therefore "best") building type. More often, I'd play with the far edges of the simulation, crowding residential areas next to polluting heavy industry or letting entire neighborhoods go without fire protection and waiting to see how long it took for things to fall apart.

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When I was a child, SimCity 2000 felt like a fun, animated set of urban-themed Lego blocks to tinker with. Revisiting the game roughly three decades later, though, I've found the weight of my adult responsibilities tempering my role as god-mayor of a tiny metropolis.

The tough economics of establishing a thriving city barely concerned me as a child. Rather than building up a durable tax base from a slowly growing city of happy citizens, I'd usually type in an infinite money cheat or load up the handy Urban Renewal Kit expansion to build whatever I wanted, wherever I wanted, as quickly as possible.

Thus unleashed, my childhood self would go mad with unchecked power, petulantly turning dials just to see what happened to the citizens in my virtual ant farm. Sometimes I'd try to arrange a repeating grid of fancy arcologies and police stations, trying to create a regimented utopia out of the game's most expensive (and therefore "best") building type. More often, I'd play with the far edges of the simulation, crowding residential areas next to polluting heavy industry or letting entire neighborhoods go without fire protection and waiting to see how long it took for things to fall apart.

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When I was a child, SimCity 2000 felt like a fun, animated set of urban-themed Lego blocks to tinker with. Revisiting the game roughly three decades later, though, I've found the weight of my adult responsibilities tempering my role as god-mayor of a tiny metropolis.

The tough economics of establishing a thriving city barely concerned me as a child. Rather than building up a durable tax base from a slowly growing city of happy citizens, I'd usually type in an infinite money cheat or load up the handy Urban Renewal Kit expansion to build whatever I wanted, wherever I wanted, as quickly as possible.

Thus unleashed, my childhood self would go mad with unchecked power, petulantly turning dials just to see what happened to the citizens in my virtual ant farm. Sometimes I'd try to arrange a repeating grid of fancy arcologies and police stations, trying to create a regimented utopia out of the game's most expensive (and therefore "best") building type. More often, I'd play with the far edges of the simulation, crowding residential areas next to polluting heavy industry or letting entire neighborhoods go without fire protection and waiting to see how long it took for things to fall apart.

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The Trump administration yesterday issued a lengthier denial of a whistleblower's allegation that DOGE officials at the Social Security Administration (SSA) copied the agency's database to an insecure cloud system. The allegation centers on the Numerical Identification System (NUMIDENT) database containing Americans' personally identifiable information.

The cloud location described by the whistleblower report "is actually a secured server in the agency's cloud infrastructure which historically has housed this data and is continuously monitored and overseen—SSA's standard practice," said a letter sent yesterday to Senate Finance Committee Chairman Mike Crapo (R-Idaho).

The letter was sent by SSA Commissioner Frank Bisignano, a Trump appointee who was previously CEO of the financial technology company Fiserv. It came in response to Crapo's request for information.

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The Trump administration yesterday issued a lengthier denial of a whistleblower's allegation that DOGE officials at the Social Security Administration (SSA) copied the agency's database to an insecure cloud system. The allegation centers on the Numerical Identification System (NUMIDENT) database containing Americans' personally identifiable information.

The cloud location described by the whistleblower report "is actually a secured server in the agency's cloud infrastructure which historically has housed this data and is continuously monitored and overseen—SSA's standard practice," said a letter sent yesterday to Senate Finance Committee Chairman Mike Crapo (R-Idaho).

The letter was sent by SSA Commissioner Frank Bisignano, a Trump appointee who was previously CEO of the financial technology company Fiserv. It came in response to Crapo's request for information.

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The Trump administration yesterday issued a lengthier denial of a whistleblower's allegation that DOGE officials at the Social Security Administration (SSA) copied the agency's database to an insecure cloud system. The allegation centers on the Numerical Identification System (NUMIDENT) database containing Americans' personally identifiable information.

The cloud location described by the whistleblower report "is actually a secured server in the agency's cloud infrastructure which historically has housed this data and is continuously monitored and overseen—SSA's standard practice," said a letter sent yesterday to Senate Finance Committee Chairman Mike Crapo (R-Idaho).

The letter was sent by SSA Commissioner Frank Bisignano, a Trump appointee who was previously CEO of the financial technology company Fiserv. It came in response to Crapo's request for information.

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Like the rest of its Big Tech cadre, Google has spent lavishly on developing generative AI models. Google's AI can clean up your text messages and summarize the web, but the company is constantly looking to prove that its generative AI has true intelligence. The International Collegiate Programming Contest (ICPC) helps make the point. Google says Gemini 2.5 participated in the 2025 ICPC World Finals, turning in a gold medal performance. According to Google this marks "a significant step on our path toward artificial general intelligence."

Every year, thousands of college-level coders participate in the ICPC event, facing a dozen deviously complex coding and algorithmic puzzles over five grueling hours. This is the largest and longest-running competition of its type. To compete in the ICPC, Google connected Gemini 2.5 Deep Think to a remote online environment approved by the ICPC. The human competitors were given a head start of 10 minutes before Gemini began "thinking."

According to Google, it did not create a freshly trained model for the ICPC like it did for the similar International Mathematical Olympiad (IMO) earlier this year. The Gemini 2.5 AI that participated in the ICPC is the same general model that we see in other Gemini applications. However, it was "enhanced" to churn through thinking tokens for the five-hour duration of the competition in search of solutions.

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Like the rest of its Big Tech cadre, Google has spent lavishly on developing generative AI models. Google's AI can clean up your text messages and summarize the web, but the company is constantly looking to prove that its generative AI has true intelligence. The International Collegiate Programming Contest (ICPC) helps make the point. Google says Gemini 2.5 participated in the 2025 ICPC World Finals, turning in a gold medal performance. According to Google this marks "a significant step on our path toward artificial general intelligence."

Every year, thousands of college-level coders participate in the ICPC event, facing a dozen deviously complex coding and algorithmic puzzles over five grueling hours. This is the largest and longest-running competition of its type. To compete in the ICPC, Google connected Gemini 2.5 Deep Think to a remote online environment approved by the ICPC. The human competitors were given a head start of 10 minutes before Gemini began "thinking."

According to Google, it did not create a freshly trained model for the ICPC like it did for the similar International Mathematical Olympiad (IMO) earlier this year. The Gemini 2.5 AI that participated in the ICPC is the same general model that we see in other Gemini applications. However, it was "enhanced" to churn through thinking tokens for the five-hour duration of the competition in search of solutions.

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Like the rest of its Big Tech cadre, Google has spent lavishly on developing generative AI models. Google's AI can clean up your text messages and summarize the web, but the company is constantly looking to prove that its generative AI has true intelligence. The International Collegiate Programming Contest (ICPC) helps make the point. Google says Gemini 2.5 participated in the 2025 ICPC World Finals, turning in a gold medal performance. According to Google this marks "a significant step on our path toward artificial general intelligence."

Every year, thousands of college-level coders participate in the ICPC event, facing a dozen deviously complex coding and algorithmic puzzles over five grueling hours. This is the largest and longest-running competition of its type. To compete in the ICPC, Google connected Gemini 2.5 Deep Think to a remote online environment approved by the ICPC. The human competitors were given a head start of 10 minutes before Gemini began "thinking."

According to Google, it did not create a freshly trained model for the ICPC like it did for the similar International Mathematical Olympiad (IMO) earlier this year. The Gemini 2.5 AI that participated in the ICPC is the same general model that we see in other Gemini applications. However, it was "enhanced" to churn through thinking tokens for the five-hour duration of the competition in search of solutions.

Read full article

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