Daniel Moreno-Gama is facing federal charges for attacking Sam Altman’s home and OpenAI’s HQAs noted above, SFPD officers recovered a document from MORENO-GAMA. MORENO-GAMA appears to have sent a similar version of the document via email to individuals at his former college in Texas on April 10, 2026. The document was a three-part series that MORENO-GAMA apparently authored, which identified views opposed to Artificial Intelligence (AI) and the executives of various AI companies, including Victim-1.
The first part of the document was titled “Your Last Warning” followed by “Daniel Moreno-Gama.” In this part of the document, MORENO-GAMA stated he “killed /attempted to kill” Victim-1. MORENO-GAMA also wrote, “Also if I am going to advocate for others to kill and commit crimes, then I must lead by example and show that I am fully sincere in my message.” MORENO-GAMA further listed the names and addresses of apparent board members and chief executive officers of AI companies and investors.
The second part of the document was titled “Some more words on the matter of our impending extinction.” In this part, MORENO-GAMA discussed the purported risk AI poses to humanity.
The third part of the document was a letter to Victim-1 addressed as: “To [Victim-1’s name] if you make it” in which MORENO-GAMA states “If by some miracle you live, then I would take this as a sign from the divine to redeem yourself…”
#Daniel #MorenoGama #facing #federal #charges #attacking #Sam #Altmans #home #OpenAIsAI,News,OpenAI
As noted above, SFPD officers recovered a document from MORENO-GAMA. MORENO-GAMA appears to have sent a similar version of the document via email to individuals at his former college in Texas on April 10, 2026. The document was a three-part series that MORENO-GAMA apparently authored, which identified views opposed to Artificial Intelligence (AI) and the executives of various AI companies, including Victim-1.
The first part of the document was titled “Your Last Warning” followed by “Daniel Moreno-Gama.” In this part of the document, MORENO-GAMA stated he “killed /attempted to kill” Victim-1. MORENO-GAMA also wrote, “Also if I am going to advocate for others to kill and commit crimes, then I must lead by example and show that I am fully sincere in my message.” MORENO-GAMA further listed the names and addresses of apparent board members and chief executive officers of AI companies and investors.
The second part of the document was titled “Some more words on the matter of our impending extinction.” In this part, MORENO-GAMA discussed the purported risk AI poses to humanity.
The third part of the document was a letter to Victim-1 addressed as: “To [Victim-1’s name] if you make it” in which MORENO-GAMA states “If by some miracle you live, then I would take this as a sign from the divine to redeem yourself…”
![IBM Crosses One of Computing’s Biggest Barriers With World’s First Sub-1 Nanometer Chip
In a major breakthrough, IBM revealed the world’s first semiconductor chip technology built on a sub-1 nanometer chipmaking process. For comparison, the process uses transistor features smaller than the width of a DNA strand, which measures about 2.5 nanometers across. The chip itself is about the size of a fingernail but holds almost 100 billion transistors, and the company expects it could enter markets as early as the next five years. In a statement released today, IBM said the new chip features nearly twice the density of its 2-nanometer chip, released in 2021. According to an accompanying technical report, the chip also demonstrated up to 70% greater energy efficiency than its predecessor. In designing the chip, researchers developed an “entirely new transistor architecture” called nanostack, which “vertically stacks and staggers transistors” to enable IBM’s 0.7-nanometer chip technology, IBM explained. A section of the chip seen with a transmission electron microscope. Credit: IBM “With our new nanostack architecture, we’re not just making smaller transistors,” Jay Gambetta, director of IBM Research, said in the statement. “We’re reinventing how chips are built to deliver dramatically more power and energy efficiency.”
Smaller and smaller Semiconductor chips enable things like computers, home appliances, communications, and transportation devices. In 1965, Intel co-founder Gordon Moore surmised that transistor capacities evolved at a predictable and consistent rate. Specifically, all things considered, the number of transistors on a semiconductor chip would double about every two years. For a while, the so-called Moore’s Law held rather well—until, that is, things hit a literal wall.
“Moore’s Law was never meant to last forever,” according to a blog post by the Massachusetts Institute of Technology’s (MIT) Computer Science and Artificial Intelligence Lab. “Transistors can only get so small and, eventually, the more permanent laws of physics get in the way.” That is, as companies try to cram more transistors into smaller chips, new advances in transistor technology take longer than two years, so Moore’s Law has been over since at least 2016, Charles Leiserson, a computer scientist at MIT, said in the blog. Accordingly, the issue now is to consider how improvements in chip performance fit into a longer-term picture, Willy Shih, an economist at Harvard Business School, said in an explainer.
Reaching atomic levels In that sense, IBM’s latest chip represents an inventive approach for bypassing the limits of physical scaling. Specifically, two wafers with nanosheet-style transistors are glued together like a sandwich to vertically stack two layers of transistors, and related technical assessments suggested that the wafer stacking was flexible and scalable enough to support real computation, Huiming Bu, vice president of IBM’s silicon technology research team, said in a press briefing on the chip. Researcher holding IBM’s sub-1 nm node wafer. Credit: IBM That said, this chip isn’t quite ready for manufacturing just yet. The company’s goal is to enter production in the next five years, but there’s still work to be done. For instance, Bu pointed out that the team was still working on pathways to prevent thermal noise or integration into existing systems in the high-performance computing community. “From my perspective, I hope to see it be as successful as the 2-nanometer [chip] and become the industry platform,” Gambetta said during the briefing. “And as we see with AI and classical computing in general, we are only seeing more and more consumption.” #IBM #Crosses #Computings #Biggest #Barriers #Worlds #Sub1 #Nanometer #ChipIBM,Semiconductors,transistors IBM Crosses One of Computing’s Biggest Barriers With World’s First Sub-1 Nanometer Chip
In a major breakthrough, IBM revealed the world’s first semiconductor chip technology built on a sub-1 nanometer chipmaking process. For comparison, the process uses transistor features smaller than the width of a DNA strand, which measures about 2.5 nanometers across. The chip itself is about the size of a fingernail but holds almost 100 billion transistors, and the company expects it could enter markets as early as the next five years. In a statement released today, IBM said the new chip features nearly twice the density of its 2-nanometer chip, released in 2021. According to an accompanying technical report, the chip also demonstrated up to 70% greater energy efficiency than its predecessor. In designing the chip, researchers developed an “entirely new transistor architecture” called nanostack, which “vertically stacks and staggers transistors” to enable IBM’s 0.7-nanometer chip technology, IBM explained. A section of the chip seen with a transmission electron microscope. Credit: IBM “With our new nanostack architecture, we’re not just making smaller transistors,” Jay Gambetta, director of IBM Research, said in the statement. “We’re reinventing how chips are built to deliver dramatically more power and energy efficiency.”
Smaller and smaller Semiconductor chips enable things like computers, home appliances, communications, and transportation devices. In 1965, Intel co-founder Gordon Moore surmised that transistor capacities evolved at a predictable and consistent rate. Specifically, all things considered, the number of transistors on a semiconductor chip would double about every two years. For a while, the so-called Moore’s Law held rather well—until, that is, things hit a literal wall.
“Moore’s Law was never meant to last forever,” according to a blog post by the Massachusetts Institute of Technology’s (MIT) Computer Science and Artificial Intelligence Lab. “Transistors can only get so small and, eventually, the more permanent laws of physics get in the way.” That is, as companies try to cram more transistors into smaller chips, new advances in transistor technology take longer than two years, so Moore’s Law has been over since at least 2016, Charles Leiserson, a computer scientist at MIT, said in the blog. Accordingly, the issue now is to consider how improvements in chip performance fit into a longer-term picture, Willy Shih, an economist at Harvard Business School, said in an explainer.
Reaching atomic levels In that sense, IBM’s latest chip represents an inventive approach for bypassing the limits of physical scaling. Specifically, two wafers with nanosheet-style transistors are glued together like a sandwich to vertically stack two layers of transistors, and related technical assessments suggested that the wafer stacking was flexible and scalable enough to support real computation, Huiming Bu, vice president of IBM’s silicon technology research team, said in a press briefing on the chip. Researcher holding IBM’s sub-1 nm node wafer. Credit: IBM That said, this chip isn’t quite ready for manufacturing just yet. The company’s goal is to enter production in the next five years, but there’s still work to be done. For instance, Bu pointed out that the team was still working on pathways to prevent thermal noise or integration into existing systems in the high-performance computing community. “From my perspective, I hope to see it be as successful as the 2-nanometer [chip] and become the industry platform,” Gambetta said during the briefing. “And as we see with AI and classical computing in general, we are only seeing more and more consumption.” #IBM #Crosses #Computings #Biggest #Barriers #Worlds #Sub1 #Nanometer #ChipIBM,Semiconductors,transistors](https://gizmodo.com/app/uploads/2026/06/nanostacking-ibm-sub-nm-chip-1280x720.jpg)



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