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“Elon Musk is a greedy, racist, homophobic piece of garbage.”“Elon Musk is a world-class jerk.”“I…

AI in GameDev lies in this ability to create believable worlds.

A game that knows you: the personalized experience

The Ghost in the Machine: How AI is Crafting the Future of Gaming Worlds
	
For decades, playing a video game was like following someone’s elaborate script. Every character and branching path was meticulously created by a developer. While impressive, these environments were ultimately finite and predictable. They had boundaries, not just on the map, but in their very code. Modern reality has changed it. Artificial intelligence is transforming the virtual world from static landscapes to dynamic systems with no pre-written steps. The gaming environment is becoming smart, and the players enjoy total immersion and engagement in the process.



Beyond the script: creating characters that think



The most noticeable impact of AI falls on the inhabitants of these virtual worlds, Non-Player Characters (NPCs). We’ve all seen a classic city guard who repeats the same line of dialogue endlessly or an enemy running along a predictable path. Modern AI leaves these simplistic automatons behind.



Instead of a rigid script, today’s NPCs perceive and react to the world around them. They utilize complex algorithms to navigate difficult environments, find cover, or coordinate group attacks. More impressively, they learn from player behavior. Imagine an enemy that notices you always use stealth and begins setting traps. This creates a much more engaging experience, the world feels less like programmed challenges and more like intelligent agents with their own goals.




Dynamic pathfinding: Characters don’t follow predefined routes. They can analyze the environment in real time and figure out the best way to the destination point. Remarkably, they cope with that even if the terrain changes suddenly.



Behavioral trees: Developers apply complex decision-making models. This allows NPCs to choose from a wide range of actions based on current situations, making them highly unpredictable.



Machine learning: Some advanced systems train NPCs by having them observe human players. This allows them to adopt effective strategies that a developer might never have programmed manually.




Worlds without end: the magic of procedural generation



Creating a whole world where gamers will learn to survive takes much time and effort. Building every tree or mountain manually is a rigorous task. AI-driven Procedural Content Generation (PCG) turns out to be a solution here. Designers, technical artists, and engineers use the PCG as a toolset of helpful components. The framework creates game content automatically and generates believable environments.



AI technologies allow designers to avoid manually scattering random trees if they need to depict a credible forest landscape. Instead, the AI algorithm learns the rules of a forest ecosystem. The combination of realistic views and the engineer’s initial intent in the setting captures players and makes them enjoy the game. For example, No Man’s Sky used PCG to create a virtual galaxy with billions of planets. Planets have their unique flora and fauna. Players can fight with alien species or trade with them to get necessary resources or equipment. The game fosters a sense of exploration and impresses with its scale. The future of AI in GameDev lies in this ability to create believable worlds.



A game that knows you: the personalized experience







It is interesting to play a game as long as it is unpredictable. AI allows for tailoring playing experiences to individuals. This is possible due to the AI analyzing the skill levels, performance, and preferences of players. The game adapts to your style of playing and makes subtle adjustments to the game in real time. This is far more than just a simple “easy, normal, hard” difficulty setting.




Dynamic difficulty adjustment: The system detects your performance and adjusts the game levels accordingly. For example, it might slightly reduce enemy numbers or provide more resources. Vice versa, if you’re doing well, the algorithm keeps the challenge.



Personalized content: It’s great to know your decisions impact the storyline of the game. AI might notice you prefer a certain weapon type and start dropping more powerful versions of it. In narrative games, it can alter future plot points based on the choices and emotional reactions it observes from the player. Besides, the system might adapt in-game rewards to players’ preferences. For example, you can receive new gear, abilities, or characters.  



Social customization: AI may suggest players with the same skill levels to keep the competitive environment. At the same time, it may also offer personalized NPCs, which adds to the general immersive experience.




Conclusion



To summarize what was mentioned before, AI allows for never having the same gaming experience twice. This makes gameplay exciting for gamers, yet the development process becomes challenging and demands high competence from the specialists. Therefore, game studios partner with a specialized AI development company in the United States to create unforgettable playing grounds. And the amazing news is that it is only the beginning. AI continues to develop and inspire improvements in all the spheres where it is applied.





#Ghost #Machine #Crafting #Future #Gaming #WorldsAI

It is interesting to play a game as long as it is unpredictable. AI allows for tailoring playing experiences to individuals. This is possible due to the AI analyzing the skill levels, performance, and preferences of players. The game adapts to your style of playing and makes subtle adjustments to the game in real time. This is far more than just a simple “easy, normal, hard” difficulty setting.

  • Dynamic difficulty adjustment: The system detects your performance and adjusts the game levels accordingly. For example, it might slightly reduce enemy numbers or provide more resources. Vice versa, if you’re doing well, the algorithm keeps the challenge.
  • Personalized content: It’s great to know your decisions impact the storyline of the game. AI might notice you prefer a certain weapon type and start dropping more powerful versions of it. In narrative games, it can alter future plot points based on the choices and emotional reactions it observes from the player. Besides, the system might adapt in-game rewards to players’ preferences. For example, you can receive new gear, abilities, or characters.  
  • Social customization: AI may suggest players with the same skill levels to keep the competitive environment. At the same time, it may also offer personalized NPCs, which adds to the general immersive experience.

Conclusion

To summarize what was mentioned before, AI allows for never having the same gaming experience twice. This makes gameplay exciting for gamers, yet the development process becomes challenging and demands high competence from the specialists. Therefore, game studios partner with a specialized AI development company in the United States to create unforgettable playing grounds. And the amazing news is that it is only the beginning. AI continues to develop and inspire improvements in all the spheres where it is applied.

#Ghost #Machine #Crafting #Future #Gaming #WorldsAI"> The Ghost in the Machine: How AI is Crafting the Future of Gaming Worlds
	
For decades, playing a video game was like following someone’s elaborate script. Every character and branching path was meticulously created by a developer. While impressive, these environments were ultimately finite and predictable. They had boundaries, not just on the map, but in their very code. Modern reality has changed it. Artificial intelligence is transforming the virtual world from static landscapes to dynamic systems with no pre-written steps. The gaming environment is becoming smart, and the players enjoy total immersion and engagement in the process.



Beyond the script: creating characters that think



The most noticeable impact of AI falls on the inhabitants of these virtual worlds, Non-Player Characters (NPCs). We’ve all seen a classic city guard who repeats the same line of dialogue endlessly or an enemy running along a predictable path. Modern AI leaves these simplistic automatons behind.



Instead of a rigid script, today’s NPCs perceive and react to the world around them. They utilize complex algorithms to navigate difficult environments, find cover, or coordinate group attacks. More impressively, they learn from player behavior. Imagine an enemy that notices you always use stealth and begins setting traps. This creates a much more engaging experience, the world feels less like programmed challenges and more like intelligent agents with their own goals.




Dynamic pathfinding: Characters don’t follow predefined routes. They can analyze the environment in real time and figure out the best way to the destination point. Remarkably, they cope with that even if the terrain changes suddenly.



Behavioral trees: Developers apply complex decision-making models. This allows NPCs to choose from a wide range of actions based on current situations, making them highly unpredictable.



Machine learning: Some advanced systems train NPCs by having them observe human players. This allows them to adopt effective strategies that a developer might never have programmed manually.




Worlds without end: the magic of procedural generation



Creating a whole world where gamers will learn to survive takes much time and effort. Building every tree or mountain manually is a rigorous task. AI-driven Procedural Content Generation (PCG) turns out to be a solution here. Designers, technical artists, and engineers use the PCG as a toolset of helpful components. The framework creates game content automatically and generates believable environments.



AI technologies allow designers to avoid manually scattering random trees if they need to depict a credible forest landscape. Instead, the AI algorithm learns the rules of a forest ecosystem. The combination of realistic views and the engineer’s initial intent in the setting captures players and makes them enjoy the game. For example, No Man’s Sky used PCG to create a virtual galaxy with billions of planets. Planets have their unique flora and fauna. Players can fight with alien species or trade with them to get necessary resources or equipment. The game fosters a sense of exploration and impresses with its scale. The future of AI in GameDev lies in this ability to create believable worlds.



A game that knows you: the personalized experience







It is interesting to play a game as long as it is unpredictable. AI allows for tailoring playing experiences to individuals. This is possible due to the AI analyzing the skill levels, performance, and preferences of players. The game adapts to your style of playing and makes subtle adjustments to the game in real time. This is far more than just a simple “easy, normal, hard” difficulty setting.




Dynamic difficulty adjustment: The system detects your performance and adjusts the game levels accordingly. For example, it might slightly reduce enemy numbers or provide more resources. Vice versa, if you’re doing well, the algorithm keeps the challenge.



Personalized content: It’s great to know your decisions impact the storyline of the game. AI might notice you prefer a certain weapon type and start dropping more powerful versions of it. In narrative games, it can alter future plot points based on the choices and emotional reactions it observes from the player. Besides, the system might adapt in-game rewards to players’ preferences. For example, you can receive new gear, abilities, or characters.  



Social customization: AI may suggest players with the same skill levels to keep the competitive environment. At the same time, it may also offer personalized NPCs, which adds to the general immersive experience.




Conclusion



To summarize what was mentioned before, AI allows for never having the same gaming experience twice. This makes gameplay exciting for gamers, yet the development process becomes challenging and demands high competence from the specialists. Therefore, game studios partner with a specialized AI development company in the United States to create unforgettable playing grounds. And the amazing news is that it is only the beginning. AI continues to develop and inspire improvements in all the spheres where it is applied.





#Ghost #Machine #Crafting #Future #Gaming #WorldsAI
Tech-news

AI in GameDev lies in this ability to create believable worlds.

A game that knows you: the personalized experience

The Ghost in the Machine: How AI is Crafting the Future of Gaming Worlds
	
For decades, playing a video game was like following someone’s elaborate script. Every character and branching path was meticulously created by a developer. While impressive, these environments were ultimately finite and predictable. They had boundaries, not just on the map, but in their very code. Modern reality has changed it. Artificial intelligence is transforming the virtual world from static landscapes to dynamic systems with no pre-written steps. The gaming environment is becoming smart, and the players enjoy total immersion and engagement in the process.



Beyond the script: creating characters that think



The most noticeable impact of AI falls on the inhabitants of these virtual worlds, Non-Player Characters (NPCs). We’ve all seen a classic city guard who repeats the same line of dialogue endlessly or an enemy running along a predictable path. Modern AI leaves these simplistic automatons behind.



Instead of a rigid script, today’s NPCs perceive and react to the world around them. They utilize complex algorithms to navigate difficult environments, find cover, or coordinate group attacks. More impressively, they learn from player behavior. Imagine an enemy that notices you always use stealth and begins setting traps. This creates a much more engaging experience, the world feels less like programmed challenges and more like intelligent agents with their own goals.




Dynamic pathfinding: Characters don’t follow predefined routes. They can analyze the environment in real time and figure out the best way to the destination point. Remarkably, they cope with that even if the terrain changes suddenly.



Behavioral trees: Developers apply complex decision-making models. This allows NPCs to choose from a wide range of actions based on current situations, making them highly unpredictable.



Machine learning: Some advanced systems train NPCs by having them observe human players. This allows them to adopt effective strategies that a developer might never have programmed manually.




Worlds without end: the magic of procedural generation



Creating a whole world where gamers will learn to survive takes much time and effort. Building every tree or mountain manually is a rigorous task. AI-driven Procedural Content Generation (PCG) turns out to be a solution here. Designers, technical artists, and engineers use the PCG as a toolset of helpful components. The framework creates game content automatically and generates believable environments.



AI technologies allow designers to avoid manually scattering random trees if they need to depict a credible forest landscape. Instead, the AI algorithm learns the rules of a forest ecosystem. The combination of realistic views and the engineer’s initial intent in the setting captures players and makes them enjoy the game. For example, No Man’s Sky used PCG to create a virtual galaxy with billions of planets. Planets have their unique flora and fauna. Players can fight with alien species or trade with them to get necessary resources or equipment. The game fosters a sense of exploration and impresses with its scale. The future of AI in GameDev lies in this ability to create believable worlds.



A game that knows you: the personalized experience







It is interesting to play a game as long as it is unpredictable. AI allows for tailoring playing experiences to individuals. This is possible due to the AI analyzing the skill levels, performance, and preferences of players. The game adapts to your style of playing and makes subtle adjustments to the game in real time. This is far more than just a simple “easy, normal, hard” difficulty setting.




Dynamic difficulty adjustment: The system detects your performance and adjusts the game levels accordingly. For example, it might slightly reduce enemy numbers or provide more resources. Vice versa, if you’re doing well, the algorithm keeps the challenge.



Personalized content: It’s great to know your decisions impact the storyline of the game. AI might notice you prefer a certain weapon type and start dropping more powerful versions of it. In narrative games, it can alter future plot points based on the choices and emotional reactions it observes from the player. Besides, the system might adapt in-game rewards to players’ preferences. For example, you can receive new gear, abilities, or characters.  



Social customization: AI may suggest players with the same skill levels to keep the competitive environment. At the same time, it may also offer personalized NPCs, which adds to the general immersive experience.




Conclusion



To summarize what was mentioned before, AI allows for never having the same gaming experience twice. This makes gameplay exciting for gamers, yet the development process becomes challenging and demands high competence from the specialists. Therefore, game studios partner with a specialized AI development company in the United States to create unforgettable playing grounds. And the amazing news is that it is only the beginning. AI continues to develop and inspire improvements in all the spheres where it is applied.





#Ghost #Machine #Crafting #Future #Gaming #WorldsAI

It is interesting to play a game as long as it is unpredictable. AI allows for tailoring playing experiences to individuals. This is possible due to the AI analyzing the skill levels, performance, and preferences of players. The game adapts to your style of playing and makes subtle adjustments to the game in real time. This is far more than just a simple “easy, normal, hard” difficulty setting.

  • Dynamic difficulty adjustment: The system detects your performance and adjusts the game levels accordingly. For example, it might slightly reduce enemy numbers or provide more resources. Vice versa, if you’re doing well, the algorithm keeps the challenge.
  • Personalized content: It’s great to know your decisions impact the storyline of the game. AI might notice you prefer a certain weapon type and start dropping more powerful versions of it. In narrative games, it can alter future plot points based on the choices and emotional reactions it observes from the player. Besides, the system might adapt in-game rewards to players’ preferences. For example, you can receive new gear, abilities, or characters.  
  • Social customization: AI may suggest players with the same skill levels to keep the competitive environment. At the same time, it may also offer personalized NPCs, which adds to the general immersive experience.

Conclusion

To summarize what was mentioned before, AI allows for never having the same gaming experience twice. This makes gameplay exciting for gamers, yet the development process becomes challenging and demands high competence from the specialists. Therefore, game studios partner with a specialized AI development company in the United States to create unforgettable playing grounds. And the amazing news is that it is only the beginning. AI continues to develop and inspire improvements in all the spheres where it is applied.

#Ghost #Machine #Crafting #Future #Gaming #WorldsAI">The Ghost in the Machine: How AI is Crafting the Future of Gaming Worlds

For decades, playing a video game was like following someone’s elaborate script. Every character and branching path was meticulously created by a developer. While impressive, these environments were ultimately finite and predictable. They had boundaries, not just on the map, but in their very code. Modern reality has changed it. Artificial intelligence is transforming the virtual world from static landscapes to dynamic systems with no pre-written steps. The gaming environment is becoming smart, and the players enjoy total immersion and engagement in the process.

Beyond the script: creating characters that think

The most noticeable impact of AI falls on the inhabitants of these virtual worlds, Non-Player Characters (NPCs). We’ve all seen a classic city guard who repeats the same line of dialogue endlessly or an enemy running along a predictable path. Modern AI leaves these simplistic automatons behind.

Instead of a rigid script, today’s NPCs perceive and react to the world around them. They utilize complex algorithms to navigate difficult environments, find cover, or coordinate group attacks. More impressively, they learn from player behavior. Imagine an enemy that notices you always use stealth and begins setting traps. This creates a much more engaging experience, the world feels less like programmed challenges and more like intelligent agents with their own goals.

  • Dynamic pathfinding: Characters don’t follow predefined routes. They can analyze the environment in real time and figure out the best way to the destination point. Remarkably, they cope with that even if the terrain changes suddenly.
  • Behavioral trees: Developers apply complex decision-making models. This allows NPCs to choose from a wide range of actions based on current situations, making them highly unpredictable.
  • Machine learning: Some advanced systems train NPCs by having them observe human players. This allows them to adopt effective strategies that a developer might never have programmed manually.

Worlds without end: the magic of procedural generation

Creating a whole world where gamers will learn to survive takes much time and effort. Building every tree or mountain manually is a rigorous task. AI-driven Procedural Content Generation (PCG) turns out to be a solution here. Designers, technical artists, and engineers use the PCG as a toolset of helpful components. The framework creates game content automatically and generates believable environments.

AI technologies allow designers to avoid manually scattering random trees if they need to depict a credible forest landscape. Instead, the AI algorithm learns the rules of a forest ecosystem. The combination of realistic views and the engineer’s initial intent in the setting captures players and makes them enjoy the game. For example, No Man’s Sky used PCG to create a virtual galaxy with billions of planets. Planets have their unique flora and fauna. Players can fight with alien species or trade with them to get necessary resources or equipment. The game fosters a sense of exploration and impresses with its scale. The future of AI in GameDev lies in this ability to create believable worlds.

A game that knows you: the personalized experience

The Ghost in the Machine: How AI is Crafting the Future of Gaming Worlds
	
For decades, playing a video game was like following someone’s elaborate script. Every character and branching path was meticulously created by a developer. While impressive, these environments were ultimately finite and predictable. They had boundaries, not just on the map, but in their very code. Modern reality has changed it. Artificial intelligence is transforming the virtual world from static landscapes to dynamic systems with no pre-written steps. The gaming environment is becoming smart, and the players enjoy total immersion and engagement in the process.



Beyond the script: creating characters that think



The most noticeable impact of AI falls on the inhabitants of these virtual worlds, Non-Player Characters (NPCs). We’ve all seen a classic city guard who repeats the same line of dialogue endlessly or an enemy running along a predictable path. Modern AI leaves these simplistic automatons behind.



Instead of a rigid script, today’s NPCs perceive and react to the world around them. They utilize complex algorithms to navigate difficult environments, find cover, or coordinate group attacks. More impressively, they learn from player behavior. Imagine an enemy that notices you always use stealth and begins setting traps. This creates a much more engaging experience, the world feels less like programmed challenges and more like intelligent agents with their own goals.




Dynamic pathfinding: Characters don’t follow predefined routes. They can analyze the environment in real time and figure out the best way to the destination point. Remarkably, they cope with that even if the terrain changes suddenly.



Behavioral trees: Developers apply complex decision-making models. This allows NPCs to choose from a wide range of actions based on current situations, making them highly unpredictable.



Machine learning: Some advanced systems train NPCs by having them observe human players. This allows them to adopt effective strategies that a developer might never have programmed manually.




Worlds without end: the magic of procedural generation



Creating a whole world where gamers will learn to survive takes much time and effort. Building every tree or mountain manually is a rigorous task. AI-driven Procedural Content Generation (PCG) turns out to be a solution here. Designers, technical artists, and engineers use the PCG as a toolset of helpful components. The framework creates game content automatically and generates believable environments.



AI technologies allow designers to avoid manually scattering random trees if they need to depict a credible forest landscape. Instead, the AI algorithm learns the rules of a forest ecosystem. The combination of realistic views and the engineer’s initial intent in the setting captures players and makes them enjoy the game. For example, No Man’s Sky used PCG to create a virtual galaxy with billions of planets. Planets have their unique flora and fauna. Players can fight with alien species or trade with them to get necessary resources or equipment. The game fosters a sense of exploration and impresses with its scale. The future of AI in GameDev lies in this ability to create believable worlds.



A game that knows you: the personalized experience







It is interesting to play a game as long as it is unpredictable. AI allows for tailoring playing experiences to individuals. This is possible due to the AI analyzing the skill levels, performance, and preferences of players. The game adapts to your style of playing and makes subtle adjustments to the game in real time. This is far more than just a simple “easy, normal, hard” difficulty setting.




Dynamic difficulty adjustment: The system detects your performance and adjusts the game levels accordingly. For example, it might slightly reduce enemy numbers or provide more resources. Vice versa, if you’re doing well, the algorithm keeps the challenge.



Personalized content: It’s great to know your decisions impact the storyline of the game. AI might notice you prefer a certain weapon type and start dropping more powerful versions of it. In narrative games, it can alter future plot points based on the choices and emotional reactions it observes from the player. Besides, the system might adapt in-game rewards to players’ preferences. For example, you can receive new gear, abilities, or characters.  



Social customization: AI may suggest players with the same skill levels to keep the competitive environment. At the same time, it may also offer personalized NPCs, which adds to the general immersive experience.




Conclusion



To summarize what was mentioned before, AI allows for never having the same gaming experience twice. This makes gameplay exciting for gamers, yet the development process becomes challenging and demands high competence from the specialists. Therefore, game studios partner with a specialized AI development company in the United States to create unforgettable playing grounds. And the amazing news is that it is only the beginning. AI continues to develop and inspire improvements in all the spheres where it is applied.





#Ghost #Machine #Crafting #Future #Gaming #WorldsAI

It is interesting to play a game as long as it is unpredictable. AI allows for tailoring playing experiences to individuals. This is possible due to the AI analyzing the skill levels, performance, and preferences of players. The game adapts to your style of playing and makes subtle adjustments to the game in real time. This is far more than just a simple “easy, normal, hard” difficulty setting.

  • Dynamic difficulty adjustment: The system detects your performance and adjusts the game levels accordingly. For example, it might slightly reduce enemy numbers or provide more resources. Vice versa, if you’re doing well, the algorithm keeps the challenge.
  • Personalized content: It’s great to know your decisions impact the storyline of the game. AI might notice you prefer a certain weapon type and start dropping more powerful versions of it. In narrative games, it can alter future plot points based on the choices and emotional reactions it observes from the player. Besides, the system might adapt in-game rewards to players’ preferences. For example, you can receive new gear, abilities, or characters.  
  • Social customization: AI may suggest players with the same skill levels to keep the competitive environment. At the same time, it may also offer personalized NPCs, which adds to the general immersive experience.

Conclusion

To summarize what was mentioned before, AI allows for never having the same gaming experience twice. This makes gameplay exciting for gamers, yet the development process becomes challenging and demands high competence from the specialists. Therefore, game studios partner with a specialized AI development company in the United States to create unforgettable playing grounds. And the amazing news is that it is only the beginning. AI continues to develop and inspire improvements in all the spheres where it is applied.

#Ghost #Machine #Crafting #Future #Gaming #WorldsAI

For decades, playing a video game was like following someone’s elaborate script. Every character and…

Tech-news

SpaceX and Cursor are now working closely together to create the world’s best coding and…

Nikkei Asia, even as suppliers ramp up DRAM production, manufacturers are only expected to meet 60 percent of demand by the end of 2027. SK Group chairman has even said that shortages could last until 2030.

The world’s largest memory makers — Samsung, SK Hynix, and Micron — are all working to add new fabrication capacity, but almost none of it will be online until at least 2027, if not 2028. SK opened a fab in Cheongju in February, but that is the only increase in production among the three for 2026.

Nikkei says that production would need to increase by 12 percent a year in 2026 and 2027 to meet demand. But according to Counterpoint Research, an increase of only 7.5 percent is planned.

The new facilities will primarily focus on producing high-bandwidth memory (HBM), which is used in AI data centers. With the companies already prioritizing HBM over general-purpose DRAM used in computers and phones, it’s not clear how much these new fabs will help alleviate the price crunch facing consumer electronics. Everything from phones and laptops, to VR headsets and gaming handhelds have seen price increases due to the RAM shortage.

#RAM #shortage #yearsAI,News,Tech"> The RAM shortage could last yearsAccording to Nikkei Asia, even as suppliers ramp up DRAM production, manufacturers are only expected to meet 60 percent of demand by the end of 2027. SK Group chairman has even said that shortages could last until 2030.The world’s largest memory makers — Samsung, SK Hynix, and Micron — are all working to add new fabrication capacity, but almost none of it will be online until at least 2027, if not 2028. SK opened a fab in Cheongju in February, but that is the only increase in production among the three for 2026.Nikkei says that production would need to increase by 12 percent a year in 2026 and 2027 to meet demand. But according to Counterpoint Research, an increase of only 7.5 percent is planned.The new facilities will primarily focus on producing high-bandwidth memory (HBM), which is used in AI data centers. With the companies already prioritizing HBM over general-purpose DRAM used in computers and phones, it’s not clear how much these new fabs will help alleviate the price crunch facing consumer electronics. Everything from phones and laptops, to VR headsets and gaming handhelds have seen price increases due to the RAM shortage.#RAM #shortage #yearsAI,News,Tech
Tech-news

Nikkei Asia, even as suppliers ramp up DRAM production, manufacturers are only expected to meet 60 percent of demand by the end of 2027. SK Group chairman has even said that shortages could last until 2030.

The world’s largest memory makers — Samsung, SK Hynix, and Micron — are all working to add new fabrication capacity, but almost none of it will be online until at least 2027, if not 2028. SK opened a fab in Cheongju in February, but that is the only increase in production among the three for 2026.

Nikkei says that production would need to increase by 12 percent a year in 2026 and 2027 to meet demand. But according to Counterpoint Research, an increase of only 7.5 percent is planned.

The new facilities will primarily focus on producing high-bandwidth memory (HBM), which is used in AI data centers. With the companies already prioritizing HBM over general-purpose DRAM used in computers and phones, it’s not clear how much these new fabs will help alleviate the price crunch facing consumer electronics. Everything from phones and laptops, to VR headsets and gaming handhelds have seen price increases due to the RAM shortage.

#RAM #shortage #yearsAI,News,Tech">The RAM shortage could last years

According to Nikkei Asia, even as suppliers ramp up DRAM production, manufacturers are only expected to meet 60 percent of demand by the end of 2027. SK Group chairman has even said that shortages could last until 2030.

The world’s largest memory makers — Samsung, SK Hynix, and Micron — are all working to add new fabrication capacity, but almost none of it will be online until at least 2027, if not 2028. SK opened a fab in Cheongju in February, but that is the only increase in production among the three for 2026.

Nikkei says that production would need to increase by 12 percent a year in 2026 and 2027 to meet demand. But according to Counterpoint Research, an increase of only 7.5 percent is planned.

The new facilities will primarily focus on producing high-bandwidth memory (HBM), which is used in AI data centers. With the companies already prioritizing HBM over general-purpose DRAM used in computers and phones, it’s not clear how much these new fabs will help alleviate the price crunch facing consumer electronics. Everything from phones and laptops, to VR headsets and gaming handhelds have seen price increases due to the RAM shortage.

#RAM #shortage #yearsAI,News,Tech

According to Nikkei Asia, even as suppliers ramp up DRAM production, manufacturers are only expected…

Tech-news

I am immensely grateful to Sam, Mark, Aditya and Jakub for fostering a research environment…

Tech-news

As noted above, SFPD officers recovered a document from MORENO-GAMA. MORENO-GAMA appears to have sent…

OpenAI says.

The company is introducing the new tier as it tries to win over users from Anthropic and its popular Claude Code tool. ChatGPT’s $100 per month option will directly compete with Anthropic’s “Max” tier for Claude, which costs the same price. It also offers a middle ground between the $20 per month Plus tier and the $200 version of the Pro tier.

(Yes, there are now two tiers of “Pro”; while the new tier “still offers access to all Pro features,” OpenAI says that the more expensive one has even higher usage limits.)

According to OpenAI, ChatGPT Plus will “will continue to be the best offer at $20 for steady, day-to-day usage of Codex, and the new $100 Pro tier offers a more accessible upgrade path for heavier daily use.” OpenAI also offers an $8 per month Go tier and a free tier.

#ChatGPT #month #Pro #subscriptionAI,News,OpenAI"> ChatGPT has a new 0 per month Pro subscriptionOpenAI has announced a new version of its ChatGPT Pro subscription that costs 0 per month. The new Pro tier offers “5x more” usage of its Codex coding tool than the  per month Plus subscription and “is best for longer, high-effort Codex sessions,” OpenAI says.The company is introducing the new tier as it tries to win over users from Anthropic and its popular Claude Code tool. ChatGPT’s 0 per month option will directly compete with Anthropic’s “Max” tier for Claude, which costs the same price. It also offers a middle ground between the  per month Plus tier and the 0 version of the Pro tier.(Yes, there are now two tiers of “Pro”; while the new tier “still offers access to all Pro features,” OpenAI says that the more expensive one has even higher usage limits.)According to OpenAI, ChatGPT Plus will “will continue to be the best offer at  for steady, day-to-day usage of Codex, and the new 0 Pro tier offers a more accessible upgrade path for heavier daily use.” OpenAI also offers an  per month Go tier and a free tier.#ChatGPT #month #Pro #subscriptionAI,News,OpenAI
Tech-news

OpenAI says.

The company is introducing the new tier as it tries to win over users from Anthropic and its popular Claude Code tool. ChatGPT’s $100 per month option will directly compete with Anthropic’s “Max” tier for Claude, which costs the same price. It also offers a middle ground between the $20 per month Plus tier and the $200 version of the Pro tier.

(Yes, there are now two tiers of “Pro”; while the new tier “still offers access to all Pro features,” OpenAI says that the more expensive one has even higher usage limits.)

According to OpenAI, ChatGPT Plus will “will continue to be the best offer at $20 for steady, day-to-day usage of Codex, and the new $100 Pro tier offers a more accessible upgrade path for heavier daily use.” OpenAI also offers an $8 per month Go tier and a free tier.

#ChatGPT #month #Pro #subscriptionAI,News,OpenAI">ChatGPT has a new $100 per month Pro subscription

OpenAI has announced a new version of its ChatGPT Pro subscription that costs $100 per month. The new Pro tier offers “5x more” usage of its Codex coding tool than the $20 per month Plus subscription and “is best for longer, high-effort Codex sessions,” OpenAI says.

The company is introducing the new tier as it tries to win over users from Anthropic and its popular Claude Code tool. ChatGPT’s $100 per month option will directly compete with Anthropic’s “Max” tier for Claude, which costs the same price. It also offers a middle ground between the $20 per month Plus tier and the $200 version of the Pro tier.

(Yes, there are now two tiers of “Pro”; while the new tier “still offers access to all Pro features,” OpenAI says that the more expensive one has even higher usage limits.)

According to OpenAI, ChatGPT Plus will “will continue to be the best offer at $20 for steady, day-to-day usage of Codex, and the new $100 Pro tier offers a more accessible upgrade path for heavier daily use.” OpenAI also offers an $8 per month Go tier and a free tier.

#ChatGPT #month #Pro #subscriptionAI,News,OpenAI

OpenAI has announced a new version of its ChatGPT Pro subscription that costs $100 per…

the company announced on Wednesday. You can pull in things like files, past conversations, and custom instructions into notebooks that Gemini can then use as context while you’re talking with it.

Notebooks sound a lot like ChatGPT’s Projects feature, which launched in 2024 and similarly lets users store things about a certain topic in one spot. Google says to “think of notebooks as personal knowledge bases shared across Google products, starting in Gemini.” Gemini’s Notebooks also sync with Google’s NotebookLM AI research tool, meaning sources you add while using one of the apps will show up in both.

Gemini’s notebooks are rolling out this week on the web for subscribers of Google’s AI Ultra, Pro, and Plus plans, according to Google. The feature will come to mobile and to free users in the “coming weeks.”

#Gemini #notebooks #organize #projectsAI,Google,News,Tech"> Gemini gets notebooks to help you organize projectsGoogle’s Gemini is getting a feature called “notebooks” to help you organize things about certain topics in a single place while using the AI chatbot, the company announced on Wednesday. You can pull in things like files, past conversations, and custom instructions into notebooks that Gemini can then use as context while you’re talking with it.Notebooks sound a lot like ChatGPT’s Projects feature, which launched in 2024 and similarly lets users store things about a certain topic in one spot. Google says to “think of notebooks as personal knowledge bases shared across Google products, starting in Gemini.” Gemini’s Notebooks also sync with Google’s NotebookLM AI research tool, meaning sources you add while using one of the apps will show up in both.Gemini’s notebooks are rolling out this week on the web for subscribers of Google’s AI Ultra, Pro, and Plus plans, according to Google. The feature will come to mobile and to free users in the “coming weeks.”#Gemini #notebooks #organize #projectsAI,Google,News,Tech
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the company announced on Wednesday. You can pull in things like files, past conversations, and custom instructions into notebooks that Gemini can then use as context while you’re talking with it.

Notebooks sound a lot like ChatGPT’s Projects feature, which launched in 2024 and similarly lets users store things about a certain topic in one spot. Google says to “think of notebooks as personal knowledge bases shared across Google products, starting in Gemini.” Gemini’s Notebooks also sync with Google’s NotebookLM AI research tool, meaning sources you add while using one of the apps will show up in both.

Gemini’s notebooks are rolling out this week on the web for subscribers of Google’s AI Ultra, Pro, and Plus plans, according to Google. The feature will come to mobile and to free users in the “coming weeks.”

#Gemini #notebooks #organize #projectsAI,Google,News,Tech">Gemini gets notebooks to help you organize projects

Google’s Gemini is getting a feature called “notebooks” to help you organize things about certain topics in a single place while using the AI chatbot, the company announced on Wednesday. You can pull in things like files, past conversations, and custom instructions into notebooks that Gemini can then use as context while you’re talking with it.

Notebooks sound a lot like ChatGPT’s Projects feature, which launched in 2024 and similarly lets users store things about a certain topic in one spot. Google says to “think of notebooks as personal knowledge bases shared across Google products, starting in Gemini.” Gemini’s Notebooks also sync with Google’s NotebookLM AI research tool, meaning sources you add while using one of the apps will show up in both.

Gemini’s notebooks are rolling out this week on the web for subscribers of Google’s AI Ultra, Pro, and Plus plans, according to Google. The feature will come to mobile and to free users in the “coming weeks.”

#Gemini #notebooks #organize #projectsAI,Google,News,Tech

Google’s Gemini is getting a feature called “notebooks” to help you organize things about certain…