🛰️ $120M Satellite Hub

💻 North Korean Crypto Hackers, 🤖 From 98% to 3%

🛰️ Amazon's Project Kuiper Takes Shape with $120 Million Kennedy Space Center Facility

Amazon is building a new satellite processing facility at NASA's Kennedy Space Center.

The $120 million facility will be 100,000 square feet, and it will have a 100-foot tall clean room to accommodate the payload fairings of Blue Origin's New Glenn and ULA's Vulcan Centaur.

With Project Kuiper, Amazon plans to launch a constellation of more than 3,200 high-speed internet satellites into low Earth orbit to compete with SpaceX’s Starlink.

Amazon has already invested billions into its plans, reserving 77 heavy-lift launches from Blue Origin, ULA, and Arianespace for the satellite constellation.

The company aims to launch two prototype satellites in the coming months.

đź’» North Korean Hackers Exploit "Supply Chain Attack" to Target Cryptocurrency Firms

North Korean hackers have been using a “supply chain attack” to target cryptocurrency companies.

A “supply chain attack” is when hackers target a third-party vendor who provides software or hardware to an organization, and use it to infect their customers’ organization with malicious code.

The hackers broke into JumpCloud, an American IT management company in late June and used it as a springboard to target its clients, who were cryptocurrency companies.

This hack shows how North Korean cyber spies are now tackling companies that can give them broader access to multiple victims downstream.

Blockchain analytics firm Chainalysis said last year that North Korean-linked groups stole an estimated $1.7 billion worth of digital cash across multiple hacks.

This is a severe threat to the cryptocurrency industry, and it's important for companies to be aware of the risks when using third-party vendors.

🤖 ChatGPT's Accuracy Plummets from 98% to 3% in Prime Number Identification

According to a recent study by a team from Stanford and UC Berkeley, ChatGPT’s behavior has noticeably changed over time, and not for the better.

For example, ChatGPT’s accuracy in identifying prime numbers dropped from 98% to 3% in three months.

The team tested the AI’s tendency to “drift,” i.e. offer answers with varying levels of quality and accuracy, as well as its ability to properly follow given commands.

The team found that the answer to the same question can change substantially in a relatively short amount of time.

This decline in performance could have real-world effects, especially as ChatGPT’s responses to healthcare-related queries are ostensibly indistinguishable from human medical professionals when it comes to tone and phrasing.

OpenAI’s LLM research and development is notoriously walled off to outside review, a strategy that has prompted intense pushback and criticism from industry experts and users.

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