Tag Archives: plans

Unanswered Questions Surrounding Putin’s Plans for Russian Nuclear Weapons in Space, Says Intel

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Despite its recent emergence, these technologies and concepts are not new.

The United States and the Soviet Union developed and tested anti-satellite weapons (ASAT) during the Cold War. Both nations also regularly utilized nuclear power in space.

As early as 1959, the United States initiated the development of anti-satellite missiles due to concerns about Soviet efforts to do the same. This led to a 1985 test launch by an F-15 fighter jet, which successfully destroyed a satellite by ejecting its payload at an altitude of 36,000 feet and hissing into orbit, carrying a deteriorating U.S. aircraft, according to the U.S. Air Force Museum.

A paper published by the Air Force’s Air University Press in 2000 stated that from 1969 to 1975, the U.S. government developed an anti-satellite system using existing nuclear missiles in “direct ascent” mode to destroy space targets.

In addition to nuclear weapons, the U.S. government placed its first nuclear-powered satellite into orbit in 1961. The Soviet Union similarly developed and deployed comparable technology that powered many satellites during that period.

History has demonstrated that these developments are not without risks. In 1978, a Soviet nuclear-powered satellite malfunctioned and fell from the sky, spreading radioactive debris over northern Canada.

However, what has not yet been publicly revealed is the existence of a Russian nuclear-powered satellite carrying weapons.

According to a 2019 technical essay published in The Space Review, nuclear-fueled satellites equipped with powerful jammers that can block communications and other signals over large areas for extended periods may be installed. Experts have responded to this week’s news.

Bowen, of the University of Leicester, stated that such a design would be “very expensive” and “waiting for something to go wrong could create a nuclear environmental disaster in orbit.”

Ultimately, while none of this technology is new, the actual implementation would certainly be considered an escalation, according to Bowen and Bugerin.

Some have questioned whether the disclosure is purely political in nature, rather than a military threat.

Kremlin spokesman Dmitry Peskovin suggested that the White House’s actions may be an attempt to manipulate Congress to vote on a funding bill that would provide new aid to Ukraine. He raised the possibility of a diversionary tactic from the other side.

Francesca Giovannini, executive director of the Atomic Stewardship Project at Harvard Kennedy School, noted that “Russia has long been attempting to develop weapons in space,” indicating potential misinformation or diversion tactics being employed.

Source: www.nbcnews.com

Blue Origin, founded by Bezos, plans to finally return with a long-awaited launch next week

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blue origin aims to finally end the more than 15-month grounding of its New Shepard suborbital rocket, with the company today announcing it will fly unmanned missions as early as Dec. 18.

The company confirmed its release social media accounts Followed by Bloomberg reporting Content of internal email for new target date. The mission, called NS-24, will carry 33 scientific research payloads and other cargo.

The new Shepard has been grounded since September 2022, when an engine nozzle problem triggered an automatic shutdown and released the unmanned capsule from its booster. The capsule landed safely. The booster was destroyed upon crashing to Earth. (This mission was also unmanned.)

The Federal Aviation Administration formally closed its investigation into the crash in September and directed Blue Origin to take 21 corrective actions, including redesigning engine and nozzle components and “organizational changes.”

This new launch date means Blue Origin has implemented all measures and received a revised launch license from the FAA. The amended license expires in August 2025 and is limited to launches only from Blue Origin’s West Texas facility, according to the regulator’s website.

Blue Origin has ambitious projects in development, including a heavy-lift rocket called New Glenn, which aims to take flight late next year, and a lunar lander called Blue Moon, for which it is seeking a $3.4 billion contract from NASA. The Shepard Flight Program is the only one currently in operation. To date, the vehicle has flown over his 22 flights, taking 31 people (including CEO Jeff Bezos himself) to the edge of space and back.

Source: techcrunch.com

Factory plans to leverage AI for streamlining the software development lifecycle

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Developer velocity (the speed at which an organization ships code) is often influenced by necessary but time-consuming processes such as code reviews, documentation, and testing. Inefficiencies can make these processes even longer. according to According to one source, developers waste 17.3 hours a week on technical debt and bad code, or code that doesn’t work.

Machine learning Ph.D. Matan Greenberg and Eno Reyes, previously a data scientist at Hugging Face and Microsoft, thought there had to be a better way.

During a hackathon in San Francisco, Greenberg and Reyes built a platform that could autonomously solve simple coding problems. This is a platform they later came to believe had commercial potential. After the hackathon, the two expanded the platform to handle more software development tasks and founded a company. factoryto monetize what they built.

“Factory’s mission is to bring autonomy to software engineering,” Grinberg told TechCrunch in an email interview. “More specifically, Factory helps large engineering organizations automate parts of their software development lifecycle through AI-powered autonomous systems.”

Factory systems – Greenberg calls them “droids” in Lucasfilm terminology there may be a problem — Built to juggle a variety of repetitive, mundane, but typically time-consuming software engineering tasks. For example, Factory has “Droids” for reviewing code, refactoring or rebuilding code, and even generating new code from a prompt like GitHub Copilot.

Grinberg explains: “Reviews Droid leaves insightful code reviews, providing human reviewers with context for every change to the codebase. Documentation Droid generates documentation as needed and continuously updates it. Test Droid creates tests and maintains test coverage percentages as new code is merged. Droid knowledge resides in communication platforms (such as Slack) to answer deeper questions about engineering systems. Project Droid also helps you plan and design requirements based on customer support tickets and feature requests.”

Factory’s droids all have what Greenberg calls a “droid core,” an engine that ingests and processes a company’s engineering system data to build a knowledge base, and an engine that extracts insights from the knowledge base to perform various engineering tasks. It is built on algorithms that solve problems. . His third Droid core component, his Reflection Engine, acts as a filter for third-party AI models that Factory utilizes, allowing Factory to implement its own safety measures, security best practices, etc. based on these models. I will make it possible.

“The enterprise perspective here is that this will enable engineering organizations to output better products faster, while also boosting engineering morale by offloading tedious tasks such as code reviews, documentation, and testing. It’s a suite of software that makes it better,” Greenberg said. “Additionally, the autonomous nature of the droid requires little user education or onboarding.”

Now, if Factory can consistently and reliably automate all these development tasks, the platform will certainly pay for itself. According to 2019 investigation According to Tidelift and The New Stack, developers spend 35% of their time managing code, including testing and addressing security issues, and less than a third of their time actually coding.

But the question is, can it be done?

Even today’s best AI models can make fatal mistakes. Generative coding tools can also introduce insecure code, and a Stanford study found that software engineers who use code generation AI are more likely to introduce security vulnerabilities in the apps they develop. It is suggested.

Greenberg was candid about the fact that Factory doesn’t have the capital to train all its models in-house, so it’s at the mercy of third-party limitations. But while relying on third-party vendors for some of its AI capabilities, he argues that the Factory platform still provides value.

“Our approach is to build these AI systems and inference architectures, leverage cutting-edge models, establish relationships with customers, and deliver value now,” Greenberg said. Masu. “For early startups, training is a losing battle. [large] model. There is no financial advantage, no chip access advantage, no data advantage, and (almost certainly) no technological advantage compared to incumbents. ”

Factory long play teeth Greenberg said the company will further train its AI models to build an “end-to-end” engineering AI system and differentiate those models by collecting engineering training data from early customers.

“Over time, you have more capital. Chip shortage The problem is solved and we have direct access (with permission) to a treasure trove of data (i.e., the historical timeline of the entire engineering organization). ” he continued. “We build robust and fully autonomous droids with minimal human intervention, customizing them to our customers’ needs from day one.”

Is that too optimistic? perhaps. Competition in the AI ​​startup market is increasing day by day.

But to Greenberg’s credit, Factory already works with a core group of about 15 companies. Mr. Greenberg declined to name names, but the size of his clients, which have used Factor’s platform to date to perform thousands of code reviews and create hundreds of thousands of lines of code, is from “seed stage.” It covers a wide range of topics, including “public”.

And Factory recently closed a $5 million seed round co-led by Sequoia and Lux ​​with participation from SV Angel, BoxGroup, DataBricks CEO Ali Ghodsi, and Hugging Face co-founder Clem Delangue. Greenberg said the new funding will be used to expand Factory’s six-person team and platform capabilities.

“The main challenges in this AI code generation industry are trust and differentiation,” he said. “Every VP of Engineering wants to use AI to improve their organization’s outcomes. This is hindered by the unreliability of many AI tools and the lack of confidence that this new futuristic sound A large labyrinthine organization that refuses to trust its technology…Factory is building a world where software engineering itself is an accessible, scalable commodity.”

Source: techcrunch.com