1. Large Balloon Reflector: a potentially game-changing antenna design

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Summary

A young engineer named Christopher Walker came up with an innovative idea while making chocolate pudding. He realized that the warped plastic wrap over the pot could be used to create a revolutionary inflatable device for space-based sensing and communications. The concept, known as the Large Balloon Reflector (LBR), turns part of an inflated sphere into a parabolic antenna. With funding from NASA’s Innovative Advanced Concepts (NIAC) program, Walker was able to develop and demonstrate a 33-foot-diameter LBR. The LBR is lightweight and can be folded into a small volume, making it more practical for space missions compared to traditional large reflector antennas. The technology has been tested aboard a stratospheric balloon and is now being prepared for a high-speed communications demonstration in low Earth orbit. Future missions to the Moon and deep space using CubeSats equipped with inflatable antennas are also being explored.

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The article discusses an idea proposed by David E. H. Jones, who wrote under the pen name Daedalus, for creating a large space telescope. The proposal involves creating a dome-shaped structure using an uncured polymer resin or plastic film, which would be inflated and then hardened to adopt a parabolic shape. A reflective surface would be applied using ion beam deposition. While the feasibility of this proposal is uncertain, Jones is known for conceiving innovative ideas, including a 3D printing concept, before they became widely discussed.

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This article describes a childhood memory of the author visiting the Huntsville Space Museum in Huntsville, Alabama. The museum featured a demonstration involving a large pie pan with Mylar stretched across it, supported by a tripod. At the top of the pan was a cone of metal, inside of which was a copper tube that spiraled around the cone and connected to the tripod legs. A household vacuum cleaner was attached to the bottom of the pan to create a suction effect, causing the Mylar to form a parabolic surface when turned on. The sunshine was then focused into the cone, and water was run through the copper tube, eventually turning into steam. The author has fond memories of this contraption.

2. Google to invest up to $2B in Anthropic

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Summary

Google has agreed to invest up to $2 billion in the artificial intelligence company Anthropic, according to a spokesperson for the startup. Google is already an investor in Anthropic and the additional investment signals its efforts to compete with Microsoft’s OpenAI. Amazon has also announced plans to invest up to $4 billion in Anthropic. These investments highlight the competition among big tech companies to integrate AI into their applications. Anthropic, founded by former OpenAI executives, aims to secure resources and backers to become leaders in the technology industry.

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Anthropic, a company in the artificial intelligence (AI) industry, has successfully raised $6 billion in Series C funding in just two months. This impressive achievement has left the reader astonished and curious about what sets Anthropic apart from other AI startups like OpenAI. The reader also wants to know if there are any other companies that have managed to raise such a significant amount in a single funding round.

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The writer of the article states that they have found claude.ai to outperform OpenAI’s ChatGPT in several areas. According to the writer, claude.ai is better at reading and recalling long-tail documents, demonstrating superior comprehension and information retrieval. Furthermore, claude.ai provides enhanced contextual understanding, resulting in more relevant and precise responses. However, the article also mentions that ChatGPT excels in adaptability and precision, particularly in understanding intricate queries and producing nuanced, tailored responses. The writer concludes by suggesting that both platforms have their own strengths and will likely dominate different niches in the AI ecosystem as they continue to evolve.

3. The fun factor of the video game Uplink

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Summary

The article discusses the impact of a game called Uplink on the author’s life and their perspective on game design. The author shares how they discovered Uplink on a family computer and became deeply engaged with its hacking simulation gameplay. They describe the game’s mechanics and how it immerses the player, despite not being traditionally “fun”. The author argues that games can evoke a range of emotions beyond just enjoyment, similar to horror games or games like The Last of Us 2. They suggest that game designers should explore a wider range of emotional experiences in their games.

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This article discusses the book “Theory Of Fun For Game Design” by Raph Koster, which explores the concept of fun and what makes a game enjoyable. The book suggests that the human brain craves patterns and that games provide satisfying patterns to engage with. The author uses the game Uplink as an example of a game that offers enjoyable patterns and a sense of progress. The article also mentions that fun in games is not a simple binary classification and that some games rely heavily on other factors, such as visual appeal, to enhance the fun experience.

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The article is a two-part podcast interview with Chris DeLay, the creator of Uplink. The interview can be found at the following links: Part 1 and Part 2.

4. Cortex X2: ARM aims high

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Summary

The article discusses ARM’s expansion into higher power and performance segments with its Cortex X series. It focuses on the Cortex X2 implemented in the Snapdragon 8+ Gen 1 SoC. The Cortex X2 offers peak performance within an expanded power and area envelope. It features a single X2 core, alongside four Cortex A510 and three Cortex A710 cores. The article examines the CPU’s clock speed, branch prediction capabilities, instruction cache, decoding and execution units, and memory subsystem. It also compares the Cortex X2 to AMD’s Zen 4 in terms of performance and bandwidth. The article concludes by highlighting ARM’s efforts to compete with AMD and Intel in the high-performance market and the potential of future Cortex X implementations.

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The article discusses the factors that contribute to the success of computer chips beyond just the core. It mentions that aspects such as clock range, area, and cores per chip are important, but so is inter-core performance and memory interface. The article also highlights the lack of synergy between CPUs and GPUs, as well as the challenge of balancing local memory resources with cache-coherency over CXL. It criticizes the stagnant state of inter-system networking and questions the impact of in-chip and inter-chip optical technology.

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The article discusses the availability of affordable ARM servers in the homelab price range. The author mentions that they have been unable to find any viable options and have only come across expensive enterprise servers priced at around $2,000. They express their interest in transitioning their homelab to ARM but state that they have outgrown Raspberry Pis.

5. When gradient descent is a kernel method

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Summary

The article discusses the use of gradient descent in solving regression problems with a linear combination of independent random functions. The author proposes initializing the coefficients to 1/n and minimizing a loss function using gradient descent. Empirical tests show that this approach can yield good results, and it is explained through a Bayesian interpretation and the relationship with the behavior of gradient descent steps and the statistical properties of the random functions. The article also discusses the connection between gradient descent and implicit regularization, as well as the role of reproducing kernel Hilbert spaces (RKHS) and positive definite kernels. It concludes by connecting the interpretation of kernel functions in regularization and conditional expectations in Gaussian processes.

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The author acknowledges the attention their post received and clarifies that while their writing and illustrations are original, the main idea is not. They simply aimed to provide a simple example that demonstrates the connection between gradient descent and kernel methods. The author also expresses gratitude for comments highlighting additional relationships made by readers.

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The author reflects on their college days and the focus on kernel-based methods in machine learning classes. They question the relevance of these insights in comparison to newer technologies like LLMs and deep neural networks. The author acknowledges not being up to date with recent research but suggests that theoretical understanding of kernel-based methods may not give an advantage in being a better ML engineer. They believe that modern ML engineering requires skills in systems engineering and devops for managing experiments.

6. Algebra

Total comment counts : 10

Summary

The article discusses the topic of generalizing algebraic rules to a wider class of numbers. It explains how rules for addition, multiplication, and raising to a power can be extended to negative integers, fractions, irrational numbers, and logarithms. The article also mentions the use of tables of logarithms to simplify calculations involving irrational powers. The process of generalization is explained through examples and the use of different bases for logarithmic calculations. Overall, the article explores the concept of abstracting and generalizing mathematical rules in order to apply them to a broader range of numbers.

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This article discusses a Feynman lecture on the foundations of secondary school mathematics. The lecture follows a similar approach to Landau’s book “Foundations of Analysis” and incorporates excitement and wonder. The use of theorem-proof approaches in university mathematics textbooks is also mentioned, including Michael Spivak’s “Calculus” and Apostol’s textbook.

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The article discusses how the famous equation e^{i*ɸ} = cos ɸ + i * sin ɸ can be derived from the assumption that raising a number to the power of i is equivalent to adding a small value, not only for real numbers but also for complex numbers.

7. Can the language of proof assistants be used for general purpose programming?

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Summary

The article discusses the use of proof assistants, specifically Lean4, for general-purpose programming. The author addresses questions about the limitations of proof assistants, their support for GUIs and I/O, and their feasibility for general-purpose programming. The author explains that while most proof assistants resemble code, they typically do not function as full programming languages. However, dependent type theory allows certain proof assistants to act as both a programming language and a theorem prover. The author also discusses the concept of totality and its implications on the Turing completeness of proof languages. The article concludes by mentioning Lean4’s potential as a user-friendly programming language that combines the power of theorem proving with general-purpose programming. However, it notes that Lean4 is still in development and lacks the ecosystem and tooling of more established languages like Standard ML.

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The article states that SPARK, a verifiable subset of Ada, can be used alongside Ada in the same project. There are SPARK crates available through Alire, and there is a SPARK implementation of the TweetNaCl crypto library. Although SPARK can be used for general-purpose programming, achieving various degrees of verification with it can be challenging. The article also mentions the author’s creation of a verified version of a C regex matcher in SPARK. The article includes links to the SPARK crates available through Alire, the SPARKNaCl implementation, and a case study on reusable bounded stacks using SPARK.

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The author of the article discusses their interest in using dependent types to describe assumptions about external resources in web development. They have created a basic web microframework for Lean 4 and enjoy using Lean’s macro system to write JSX-like HTML. However, they mention that they are currently unsure of how to use dependent types for more advanced tasks, such as matching handlers to route types. They mention that Servant is already capable of doing this effectively. The author provides links to their LeanServer project and the Servant package on Hackage.

8. A small warning about UDP based protocols

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Summary

The article discusses the development of various protocols inspired by the Gemini protocol, including Mercury, Spartan, Nex, and Guppy. The author expresses concern over Guppy because it is based on UDP, which can be vulnerable to amplification attacks. The Guppy protocol aims to be simpler than Gopher and Spartan, providing faster transfer speeds but potentially leading to link saturation with data. The author shares their experiences with UDP and emphasizes the need for caution when experimenting with protocols on the open internet.

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The article argues that TCP is outdated and UDP-based protocols, like QUIC, are a better option. The author highlights that TCP connections take longer to establish due to TLS encryption, and that TCP connections do not survive changes in IP addresses. The author also criticizes the stream model of TCP for transmitting data and suggests that reassembling packets on the receiver side would be more efficient. However, the author acknowledges the risks involved in creating custom UDP protocols.

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The article discusses an alternative protocol called uTP used in BitTorrent that avoids amplification attacks through a three-way handshake. The protocol automatically throttles itself to prioritize TCP connections when necessary. The author ponders why UDP is used instead of TCP for this purpose and suggests that a protocol-level solution could be implemented. One possibility is that uTP is designed to throttle both sends and receives and requires tracking throttle information for each peer. However, the article does not provide a definitive answer for the choice of UDP over TCP.

9. Writing for Professional and Technical Audiences

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Summary

The author discusses the importance of effective writing in large technology companies. They emphasize that clear and well-written documents can reach people in different time zones or who couldn’t attend a meeting. The author also highlights the value of good writing for saving time, such as well-articulated error messages in log files or API responses. The article shares a set of guidelines that the author has gathered over the years and received feedback from professional colleagues. The suggestions are primarily relevant to longer form documents, proposals, and emails.

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The author believes that tech writers and the skill of writing are not given enough respect. In their company, they have to create a large amount of documentation in the medical field. However, most developers are not skilled or interested in writing, so they spend a lot of time producing low-quality documents. The author suggests that it would be more efficient and cost-effective to hire skilled writers to ensure consistent style and organization.

10. Scientists simulate backward time travel using quantum entanglement

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Summary

Scientists from Cambridge University have successfully simulated a method of backward time travel using the properties of quantum entanglement. They were able to change the outcome of an experiment after it had already occurred by manipulating the entanglement of two particles. The researchers emphasize that this does not violate the laws of physics. However, their simulation only achieved the desired result 25% of the time, with the remaining 75% resulting in different outcomes. The team suggests using a filter system to improve the success rate of backward time travel. They note that while their simulations are successful, they are not proposing a time travel machine, but rather exploring the fundamentals of quantum mechanics. The researchers believe that the failure rate of their system is reassuring and consistent with Einstein’s theories of relativity.

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The article discusses a metrology experiment where the input state can be amended by simulating a closed timelike curve, which is a hypothetical worldline that travels backward in time. The researchers use quantum-teleportation circuits to simulate these curves probabilistically. The experiment shows that entanglement can provide a nonclassical advantage in terms of gaining information. The goal of the experiment is for a metrologist to prepare probes for an unknown quantum interaction and infer as much information as possible per probe. The metrologist can manipulate entanglement to effectively teleport the optimal input back in time, although this method sometimes fails. Overall, the experiment demonstrates that entanglement can produce advantages that are not allowed in classical theories respecting chronology.

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The article suggests that the research findings indicate an unusual level of accuracy, which could potentially be attributed to time travel. However, the authors acknowledge that the notion of causality does not fit in this context. It is important to note that there is currently no way to discuss entanglement involving time prior to entanglement or any substantial manipulation of entangled particles. Even if it were possible to communicate backwards in time with an entangled particle, it would likely not have a significant impact at distances within the range of the speed of light.