The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Still firmly in the not-crazy camp

Links I Would Gchat You If We Were Friends • 0 implied HN points • 23 Jun 14
🕹 Technology Maps Wikipedia Internet Social media Wearable Tech
  1. Finding one's hometown using online maps is possible, as seen in the story of Saroo Brierley.
  2. Wikipedia may seem chaotic, but it actually faces challenges due to bureaucratic processes.
  3. David Sedaris, the popular essayist, once displayed obsessive behavior with his Fitbit, walking an incredibly high number of steps in a day.

In the spotlight

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 31 Mar 17
🕹 Technology Security Cryptocurrency Conference
  1. The author presented at Real World Crypto 2017 in New York for the first time. Although feeling under the weather, the talk was successful and received positive feedback.
  2. Real World Crypto is recognized as a significant and useful crypto conference, attracting around 600 attendees. The author hopes to bring a similar event to Vietnam in the future.
  3. The author shared links to slides and source code related to the conference presentation, offering additional resources for interested readers.

The Looming Spaceport Bottleneck

SpaceDotBiz • 0 implied HN points • 31 Oct 23
🕹 Technology Space Regulations Infrastructure Commercial
  1. The increasing number of satellites in space has led to a high demand for launch services, causing a bottleneck in spaceport capacity.
  2. Building new spaceports in the US is challenging due to regulatory hurdles, land acquisition costs, and legal issues, leading to limited expansion attempts.
  3. One potential solution to spaceport congestion is exploring offshore launch options, as seen in examples from China and South Korea, to address the growing demand for launches.

"AI Isn’t Coming for Tech Jobs—Yet" In Asterisk Magazine

Abstraction • 0 implied HN points • 27 Jun 23
🕹 Technology AI Tech Jobs Forecasting Historical Trends
  1. Exploring counterfactual scenarios helps forecast future trends by imagining a world without specific factors like large language models (LLMs).
  2. Using the "outside view" involves making predictions based on broader trends and historical data rather than focusing on specific instances.
  3. Monte Carlo simulations provide an empirically-grounded view by generating random future scenarios based on historical changes, aiding in predicting potential outcomes.
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Monday Memo #2

Andrew's Substack • 0 implied HN points • 26 Jun 23
🕹 Technology Software companies System Design
  1. Understand the core insight in questions from executives to address feedback effectively.
  2. When users consistently do something 'wrong,' it might be the system that needs adjustment, not the users.
  3. Quality of screen time matters more than quantity - evaluate how apps respect your time and attention.

s1: Simple test-time scaling

Gonzo ML • 0 implied HN points • 12 Feb 25
🕹 Technology AI Machine Learning Data science Computing Software Development
  1. A new model called s1-32B was created by using a small dataset of 1,000 question-answer pairs focused on reasoning. This cost about $25 to train, which is quite affordable.
  2. The method of controlling how much the model thinks during tests allows for better performance. They used a strategy called budget forcing to ensure the model generates the right amount of information.
  3. This approach showed that it's possible to achieve high-quality results with less data and resources, suggesting a promising path for future AI developments.

Generative Agents 2.0

Gonzo ML • 0 implied HN points • 24 Feb 25
🕹 Technology AI Research Simulation Data science Behavioral Science
  1. Researchers successfully created AI agents that can simulate 1,052 real people with about 85% accuracy. This means the AI can closely mimic how real people would respond in various situations.
  2. The study highlights the importance of interviews over surveys, as they provide deeper insights into people’s behaviors and thoughts, allowing the AI to generate better follow-up questions and responses.
  3. These AI agents have potential uses in social science research. They could help predict public reactions to policy changes or simulate behavioral responses, leading to new methods of understanding human decision-making.

Polymath Engineer Weekly #84

Polymath Engineer Weekly • 0 implied HN points • 05 Mar 24
🕹 Technology Programming Web AI Software Development Data Management
  1. Rust's fast performance in web frameworks may not always reflect typical use cases due to incentives driving optimization.
  2. Understanding the unique aspects of a Lisp REPL versus an interactive language shell can provide valuable insights and opportunities.
  3. Google's dominance in AI technology faces challenges rooted in cultural factors, such as leadership priorities and values.

Researchers Discover Possible Reason why Adversarial Perturbation Works

Technology Made Simple • 0 implied HN points • 08 Dec 21
🕹 Technology AI Machine Learning Cybersecurity
  1. Adversarial perturbations can work by manipulating features in a way that affects machine learning model predictions. These perturbations can be invisible to humans, posing a threat.
  2. Identifying and training on robust features can provide good accuracy in both normal and adversarial settings. This approach might be a cost-effective alternative to extensive adversarial training.
  3. Adversarial attacks often target non-robust features, which are highly predictive. Understanding and focusing on robust features can improve model resilience against such attacks.

Microsoft, Timnit Gebru, and Google AI

Technology Made Simple • 0 implied HN points • 17 Dec 21
🕹 Technology Artificial Intelligence Machine Learning Data Mining
  1. Microsoft made significant progress in NLP with their language model scaling on GLUE and SuperGLUE benchmarks, but the lack of transparency in their publication raises questions about replicability and sharing knowledge in research.
  2. Timnit Gebru, a prominent figure in AI, established the Distributed AI Research Institute to conduct independent, community-rooted AI research free from Big Tech's influence, funded by donations.
  3. The issues surrounding Microsoft's publication practices and Gebru's new research institute highlight the importance of understanding the dynamics in the machine learning research space and taking steps to stay informed and educated about the field.

My 5 Year Machine Learning Journey

Technology Made Simple • 0 implied HN points • 19 Dec 21
🕹 Technology Machine Learning Artificial Intelligence Software Development Freelancing Data Analysis
  1. The author shares their 5-year machine learning journey, starting with an unusual path that didn't involve getting a Master's or certifications.
  2. The stages of the journey include Introduction involving AI projects, Real ML with a patented algorithm, Freelancing to gain experience in diverse tech stacks, and Hardcore ML with extensive work on health system analysis.
  3. The journey showcases personal growth, skill development, and the importance of constant learning in the field of AI and ML, leading to confident interview approaches and valuable work experiences.

Why you should implement Evolutionary Algorithms in your Machine Learning Projects

Technology Made Simple • 0 implied HN points • 22 Dec 21
🕹 Technology Machine Learning Deep Learning Artificial Intelligence Optimization
  1. Evolutionary Algorithms are underutilized in Machine Learning Research and can be powerful tools to solve complex problems.
  2. Evolutionary Algorithms provide flexibility by not requiring differentiable functions, making them suitable for a variety of real-world optimization problems.
  3. Evolutionary Algorithms can outperform more expensive gradient-based methods, as demonstrated in various research projects including Google's AutoML-Zero.

[Solution]Problem 17: Minimum cost of painting N houses up to K different colors.[Facebook]

Technology Made Simple • 0 implied HN points • 23 Dec 21
🕹 Technology Coding Algorithm Dynamic Programming Optimization Complexity
  1. The problem involves minimizing cost while ensuring no neighboring houses have the same color. This can be represented using a matrix.
  2. Brute force can be initially used to explore all combinations, but dynamic programming is a more efficient approach in this scenario. Dynamic programming optimizes calculations by avoiding unnecessary computations.
  3. By utilizing dynamic programming, we can efficiently calculate the minimum cost of painting the houses with different colors. This method involves maintaining a matrix cache to track the costs and ensure the color constraint is met.

Google AI and Princeton discover this about Deep Learning

Technology Made Simple • 0 implied HN points • 25 Dec 21
🕹 Technology Machine Learning Deep Learning AI Computer Vision NLP
  1. The speed at which a machine learning model 'learns' is influenced by the learning rate, which can make or break the model.
  2. Choosing the correct step size is crucial in machine learning behavior, as highlighted by a study that compared the importance of step size versus direction.
  3. Step size, or the learning rate, seems to be a dominating factor in model learning behavior, showcasing the potential for optimizing performance by combining different optimizer techniques.

The Best Machine Learning Company of 2021

Technology Made Simple • 0 implied HN points • 30 Dec 21
🕹 Technology Machine Learning Artificial Intelligence Hardware Data Sources Research
  1. 2021 saw many impressive breakthroughs in Machine Learning with the industry growing considerably.
  2. Microsoft is positioned well in the Machine Learning space due to its vertical integration across various stages of ML pipelines from hardware to data sources to model deployment.
  3. Microsoft showcased exceptional performance in ML research and implementation in 2021, particularly with innovative projects like synthetic data analysis and leading NLP models.

Trusted News and Notes, 2023-03-30

Trusted • 0 implied HN points • 30 Mar 23
🕹 Technology AI OpenAI Platform Development
  1. A group wants a 6-month pause on AI system development beyond GPT-4 for oversight and review.
  2. OpenAI adds plugin support to ChatGPT for access to external content, impacting business startups.
  3. Military Cyber Professionals Association suggests creating a U.S. Cyber Force despite existing coordination under USCYBERCOM.

Randomness, dodging phone bans & astrological strategies

The Strategy Toolkit • 0 implied HN points • 27 Jan 25
🕹 Technology Digital Media Algorithms User Experience Software Development Data Analysis
  1. People expect randomness to seem chaotic, but true randomness can appear ordered. This misunderstanding affects how we perceive things like music playlists.
  2. Users often complain about problems with shuffle algorithms, thinking they should never see clusters of songs from the same artist. But statistically, that can happen and is actually normal.
  3. Our brains are wired to look for patterns, making us think randomness should behave in a way that fits our expectations, rather than how it actually works.

The AI Report - #1

The AI Report • 0 implied HN points • 08 May 23
🕹 Technology AI Research News Tools Prompts
  1. Research in AI: Recent papers highlight advancements in long-range transformers and self-supervised learning.
  2. World of AI News: Crypto.com introduces an AI chatbot named Amy, while Microsoft considers offering private, more secure ChatGPT instances at a premium price.
  3. Tools: Jsonformer is a helpful tool for generating JSON from language models, simplifying the JSON creation process.

Strategizing for Success in Software Engineering

The Healthy Engineering Leader • 0 implied HN points • 01 Feb 23
🕹 Technology Software Engineering Strategy User Experience Performance
  1. Strategy and goals are different. A goal is what you want to achieve, while strategy is how you plan to get there.
  2. A good strategy needs to be cohesive. All parts of the strategy should work together to reach the goal.
  3. Strategies should be flexible. As circumstances change, it's important to adjust your strategy when needed.

Rough Notes: Memory, Identity, and Transformation

Product Lost by @hipcityreg • 0 implied HN points • 29 Jan 24
🕹 Technology AI Hardware Social media Memory Identity
  1. Memory is the basis of identity and crucial for relationships; Alzheimer's highlights its importance.
  2. AI serves as collaborative memory and is transforming the concept of memory; it is our extended memory.
  3. Social media profiles are early versions of extended memory devices; they shape digital identities and hold moments of interactions.

Important news about your subscription to Tech Buzz Insider

Tech Buzz China Insider • 0 implied HN points • 31 Jan 23
🕹 Technology News Finance Business Technology Community
  1. The Tech Buzz China Insider subscription will resume in February with Ed and Freya creating new articles regularly.
  2. Members will receive two in-depth articles per month, featuring exclusive insights from Six Degrees Intelligence and additional info from Chinese tech media.
  3. The community aspect of Tech Buzz Insider will be scaled down, with the discontinuation of the Circles website and opening newsletter subscriptions to all interested.

Style PowerShell 5

Barn Lab • 0 implied HN points • 12 Jan 24
🕹 Technology Programming Operating Systems Software Tools
  1. PowerShell 7 is an updated version that runs alongside PowerShell 5, requiring configuration changes to make it default.
  2. Customize PowerShell by changing the font to add symbols and icons for a unique look.
  3. Create a startup script for PowerShell 5 by making a Microsoft.PowerShell_profile.ps1 file to add personalized ASCII banners and prompts.