The hottest Algorithms Substack posts right now

And their main takeaways
Category
Top Technology Topics

20250824

Curious futures (KGhosh) • 4 implied HN points • 24 Aug 25
🕹 Technology Algorithms
  1. AI is making big strides in science, helping discover new things that humans might overlook. It's a tool that can come up with smarter ways to run experiments.
  2. Many people struggle with their relationship to technology, often feeling addicted to AI and feeling like they lose out on real-life experiences. It's important to find a balance between tech and living life fully.
  3. The world is changing dramatically, with new tech affecting jobs, education, and how we interact. Embracing these changes while staying true to human connection is key.

Implementing Softmax using RISC-V Vector

Fprox’s Substack • 41 implied HN points • 12 Feb 24
🕹 Technology Algorithms
  1. Softmax is a non-linear normalization layer commonly used in neural networks to compute probabilities of multiple classes.
  2. When implementing Softmax, numerical stability is crucial due to exponential function's rapid growth, requiring clever techniques to prevent overflow.
  3. RISC-V Vector (RVV) can be used to efficiently implement complex functions like Softmax, with stable and accurate results compared to naive implementations.

How Algorithms Exploit Laziness[Technique Tuesdays]

Technology Made Simple • 19 implied HN points • 16 Nov 22
🕹 Technology Algorithms
  1. Lazy evaluation in programming delays evaluation until the value is needed, which helps save computational resources and optimize performance.
  2. Partial evaluation allows quicker calculations by finding the first false value in a series of boolean operations, speeding up the process.
  3. Just-in-time compilation in computing involves compiling code at runtime, reducing strain on the system by loading only necessary parts, like in video games with large maps.

[Solution]Problem 26: Remove K digits to create smallest number[Microsoft]

Technology Made Simple • 39 implied HN points • 24 Feb 22
🕹 Technology Algorithms
  1. Given a non-negative integer as a string, you can create the smallest number by removing k digits strategically.
  2. For strings with digits sorted in descending order, removing the first k elements generates the smallest number.
  3. It's important to analyze patterns and consider removing significant digits in order to solve tricky problems like creating the smallest number by removing k digits.
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Newsletter #2: Certain Randomness

Decoding Coding • 19 implied HN points • 09 Feb 23
🕹 Technology Algorithms
  1. Random numbers are important in computer science for things like cryptography, simulations, and game mechanics. They help create unpredictability and realism in these applications.
  2. There are two main types of random number generators: True Random Number Generators (TRNGs) that use real-world entropy, and Pseudo Random Number Generators (PRNGs) that produce predictable outcomes based on a starting value.
  3. Algorithms like Linear Congruential Generators (LCGs) and Mersenne Twister are commonly used for generating pseudo-random numbers in various applications due to their efficiency and quality.

Terms of Engagement

Cybernetic Forests • 39 implied HN points • 20 Feb 22
🕹 Technology Algorithms
  1. Communication requires good transmission and reception; without care on either end, hurt can result.
  2. Play and playfulness emerge from safety and shared agreement; the absence of play can lead to authoritarianism and fear.
  3. Social media structures can breed algorithmic indifference, filtering out personal content and hindering meaningful communication.

Why TikTok ‘Knows You’: The Data Trick That Makes It Tick

The Daily Bud • 12 implied HN points • 25 Jan 25
🕹 Technology Algorithms
  1. TikTok's algorithm is really good at guessing what you want to watch next. It keeps improving by watching how you interact with videos.
  2. Unlike other apps, TikTok avoids mixing user data, which helps keep recommendations super personal. This means you get content that's more tailored just for you.
  3. The way TikTok designs its data storage prevents recommendations from getting mixed up. This leads to a cleaner and more enjoyable experience while using the app.

Superconductors and Such

Bzogramming • 53 implied HN points • 01 Aug 23
🕹 Technology Algorithms
  1. There is potential for room-temperature superconductors with simple materials like lead, phosphate, and copper.
  2. A shift back to innovation in physical technologies, like hyperspectral imaging and geometric folding algorithms, might lead to significant advancements.
  3. A reemphasis on traditional engineering fields, such as cars and rocket engines, is essential for future innovations outside of software.

The uniformity measure

Fileforma Research • 1 HN point • 22 Jun 24
🕹 Technology Algorithms
  1. Neuralink's Compression Challenge requires beating ZIP at compressing audio files, revealing unexpected complexities in brain data compression
  2. Claude Shannon's use of logarithms in measuring entropy lacks proof, highlighting the need for alternative entropy measures like the uniformity measure
  3. The proposed uniformity measure offers a way to calculate a sample's proximity to a uniform distribution, providing a new method for entropy measurement

Mark Zuckerberg Wants You To Think That His Algorithms are All-Powerful

Never Met a Science • 50 implied HN points • 28 Jul 23
🕹 Technology Algorithms
  1. Temporal validity in social media experiments may be challenging due to the fast-paced nature of platforms like TikTok.
  2. Social media companies emphasize the power of their algorithms to drive ad revenue, but may be cautious about influencing elections.
  3. The interaction between producers and consumers, influenced by social feedback, plays a crucial role in the dynamics of social media content.

GPU peak calling for epigenetics

LatchBio • 11 implied HN points • 21 Jan 25
🕹 Technology Algorithms
  1. Peak calling is crucial for analyzing epigenetic data like ATAC-seq and ChIP-seq. It helps scientists identify important regions in the genome related to gene expression and diseases.
  2. The MACS3 algorithm is a common tool used for peak calling but struggles with handling large data volumes efficiently. Improving its implementation with GPUs can speed up analyses significantly.
  3. By using GPUs, researchers have achieved about 15 times faster processing speeds for peak calling, which is vital as more genetic data is generated in the field.

An Intro to Finite State Machines[Math Monday]

Technology Made Simple • 19 implied HN points • 08 Aug 22
🕹 Technology Algorithms
  1. Finite State Machines (FSMs) are like directed graphs that help in understanding the flow of a program. Nodes represent states and edges show reachable states.
  2. FSMs are useful for filtering input based on rules and when a system is defined by a set of conditions, like in Regex applications.
  3. Mastering FSMs involves patience, practice, and hands-on coding of theoretical concepts to understand and implement them effectively.

Non-Newtonian Computing?

Bzogramming • 30 implied HN points • 07 Jan 24
🕹 Technology Algorithms
  1. Physics has alternative framings like Lagrangian and Hamiltonian mechanics, which could inspire new ways of viewing computation.
  2. Reversible computing, preserving information by having bijective gates, is crucial for energy efficiency and future computing technologies.
  3. Studying constraint solvers and NP-complete problems can lead to insights for accelerating search algorithms and developing new computing approaches.

Problem 2: Find all occurrences of Substring Solution [Microsoft] (Example of Solutions in Paid Version)

Technology Made Simple • 39 implied HN points • 23 Aug 21
🕹 Technology Algorithms
  1. When solving problems, start with a simple solution even if it's not optimal. It's better to have a working brute-force solution than no solution at all.
  2. Optimizing code involves identifying and eliminating redundant parts. For instance, in string matching problems, consider using techniques like hashing to improve efficiency.
  3. The Rabin-Karp algorithm is a rolling hash function used for string searching. It involves using hashes to compare substrings efficiently, reducing false positives and improving overall performance.

[Solution]Problem 44: Longest Substring Without Repeating Characters (Meta / Facebook)

Technology Made Simple • 19 implied HN points • 01 Jul 22
🕹 Technology Algorithms
  1. The problem discussed is about finding the length of the longest substring without repeating characters.
  2. Approaching a coding problem by carefully considering the data structures to use, like dictionaries and sets, can be crucial in developing an efficient solution.
  3. Building a clear path to figure out the start and end points of the substring can lead to a more organized and effective algorithm implementation.

How to Spot Greedy Algorithms[Techinque Tuesdays]

Technology Made Simple • 19 implied HN points • 22 Jun 22
🕹 Technology Algorithms
  1. Greedy algorithms make decisions based on immediate benefit, without looking ahead to future consequences.
  2. To identify a greedy algorithm, look for problems that can be broken into sub-problems, where the optimal solution of each sub-problem contributes to the overall optimal solution.
  3. Improving at recognizing greedy algorithms requires practice and analysis of problems to refine your intuition.

Monetising an Algorithm

Net Interest • 29 implied HN points • 15 Dec 23
💼 Business Algorithms
  1. Warren Buffett highlights errors of omission in investments
  2. Fair Isaac Corporation found success in utilizing algorithmic credit scoring
  3. Regulatory changes can drive growth and opportunities in financial technology firms

[Solution]Problem 42: Length of the longest subarray where all its elements are distinct (Microsoft)

Technology Made Simple • 19 implied HN points • 17 Jun 22
🕹 Technology Algorithms
  1. When faced with a problem involving combinatorics, taking the time to read and analyze the question can provide crucial insights for a more efficient solving approach
  2. In the context of building max heaps from a list of integers, understanding the structure of heaps as complete binary trees allows for simplification of the problem into calculating combinations and values for left and right subtrees
  3. Calculating the values for the left subtree, such as height and number of nodes, can lead to a shift in the coding task complexity from generating heaps to conducting combinatorics

Transposing a Matrix using RISC-V Vector

Fprox’s Substack • 27 HN points • 09 Jan 24
🕹 Technology Algorithms
  1. Transposing a matrix in linear algebra is a common operation to switch row-major and column-major layouts to optimize computations.
  2. Different techniques like strided vector operations and in-register methods can be used to efficiently transpose matrices using RISC-V Vector instructions.
  3. Implementations with segmented memory variants and vector strided operations can be more efficient in terms of retired instructions compared to in-register methods for matrix transpose.

Reducing selection bias / popularity bias in ranking

Recommender systems • 26 implied HN points • 20 Jan 24
🕹 Technology Algorithms
  1. Reducing selection bias and popularity bias in ranking is important for recommender systems.
  2. An advocated approach is to factorize user interaction signals to account for biases originating from power users and power items.
  3. The proposals for causal/debiased ranking involve factorization, mutual information, and mixture of logits to improve the ranking model.

[Solution]Problem 39: Find the Celebrity[Pintrest]

Technology Made Simple • 19 implied HN points • 27 May 22
🕹 Technology Algorithms
  1. The problem involves finding a celebrity at a party who everyone knows, but who doesn't know anyone in return. A brute force approach of comparing every pair of people at the party can be used, but it is slow with O(N^2) complexity.
  2. It is essential to analyze why a solution is inefficient to brainstorm and develop an optimal solution efficiently. By utilizing constraints given in the problem, like the knowledge asymmetry between the celebrity and others, the time and space complexity can be significantly reduced to O(N) and O(1) respectively.
  3. In problem-solving, understanding and applying constraints effectively can lead to substantial improvements in both time and space complexity, making solutions more efficient and optimal.

Reinforcement, evolution, and automata

Gradient Ascendant • 7 implied HN points • 26 Feb 25
🕹 Technology Algorithms
  1. Reinforcement learning is becoming important again, helping improve AI models by using trial and error. This allows models to make better decisions based on past experiences.
  2. AI improvements are not just for big systems but can also work on smaller models, even those that run on phones. This shows that smarter AI can be more accessible.
  3. Combining reinforcement learning with evolutionary strategies could create more advanced AI systems in the future, leading to exciting developments and solutions.

[Solution]Problem 31:Maxium Rainwater Trapping[Microsoft]

Technology Made Simple • 19 implied HN points • 01 Apr 22
🕹 Technology Algorithms
  1. Understanding the problem thoroughly is essential in tackling difficult coding challenges. Break down the problem into smaller components and focus on each step.
  2. Identifying patterns and creating systems can help simplify complex problems. Mathematics can be a powerful tool in problem-solving and coding interviews.
  3. Utilizing techniques like the two-pointer approach can be incredibly helpful in optimizing solutions and acing technical interviews.

Why Math Mondays

Technology Made Simple • 19 implied HN points • 14 Mar 22
🚌 Education Algorithms
  1. Understanding the importance of Math in preparation can help with solving problems better.
  2. Knowledge about subjects, problem interpretation, and connections between topics are crucial in problem-solving.
  3. Math Mondays aim to show how mathematical knowledge can enhance problem-solving skills and help make connections between different concepts.

Data Science Weekly - Issue 455

Data Science Weekly Newsletter • 19 implied HN points • 11 Aug 22
🕹 Technology Algorithms
  1. Data professionals spend a lot of time checking data quality, which costs companies a lot of money every year. Poor data quality can affect a company's revenue significantly.
  2. Understanding how AI models behave is important for data scientists. They need to develop good mental models to train and work effectively with these systems.
  3. Vector search is becoming popular in retail for improving various aspects like revenue and customer satisfaction. It helps teams make better use of their data.

Problem 25: Boolean Satisfiability[Dropbox]

Technology Made Simple • 19 implied HN points • 16 Feb 22
🕹 Technology Algorithms
  1. A Boolean formula is satisfiable if truth values can be assigned to variables to make the entire formula true.
  2. Formulas with AND statements joining tuples containing exactly one OR are known as 2-CNF.
  3. The task is to find a way to assign truth values to a 2-CNF formula to satisfy it, or return False if it's impossible.

4/6/22 China Mandates Recommendation Algorithms To Be Able To Be Turned Off

Tech Buzz China Insider • 19 implied HN points • 07 Apr 22
🕹 Technology Algorithms
  1. China mandated that recommendation algorithms must have an option to be disabled, becoming a global leader in regulating emerging technologies.
  2. Turning off recommendation algorithms can enhance user experience, but the impact on businesses varies depending on their reliance on algorithms.
  3. While many users express interest in disabling recommendation algorithms, the actual business impact may not be significant as users may struggle to find and use the option.

[Solution]Problem 22: Positive Pairs meeting conditions[Jane Street]

Technology Made Simple • 19 implied HN points • 27 Jan 22
🕹 Technology Algorithms
  1. The problem involves finding pairs of positive integers that satisfy specific conditions involving addition and XOR operations.
  2. Understanding binary representation and logical operators like XOR can lead to more optimal solutions for certain problems.
  3. Mathematical reasoning and logical analysis can help in optimizing solutions and reducing time complexity, especially when dealing with binary operations.

RIP Twitter

GOOD INTERNET • 27 implied HN points • 25 Jul 23
🕹 Technology Algorithms
  1. Elon Musk rebranded Twitter to 'X'
  2. Twitter was a platform for collective consciousness but warped by algorithms
  3. The addictive nature of Twitter led to 'Twitter poisoning'

[Solution]Problem 18: Pack Words on Board [Google]

Technology Made Simple • 19 implied HN points • 30 Dec 21
🕹 Technology Algorithms
  1. The problem involves finding the maximum number of words that can be constructed from a given dictionary and a matrix of random letters.
  2. The solution to this problem involves using backtracking, a recursive algorithmic technique that incrementally builds a solution while adhering to constraints.
  3. When solving such problems, it is important to consider traversing the matrix, ensuring that letters are adjacent vertically and horizontally, and not diagonally.

[Solution]Mastermind Code Decoding [Facebook]

Technology Made Simple • 19 implied HN points • 10 Dec 21
🕹 Technology Algorithms
  1. The problem involves a two-player game called Mastermind where one player must guess the other player's secret code based on feedback provided after each guess.
  2. Implementing a brute force solution as a first step can provide a structured approach, help avoid freezing up during interviews, give hints for optimization, and showcase organization.
  3. Optimizing brute force solutions involves narrowing down the pool of possible solutions based on the constraints provided in the problem, which can significantly reduce the search space.

Problem 15: Mastermind Code Decoding [Facebook]

Technology Made Simple • 19 implied HN points • 09 Dec 21
🕹 Technology Algorithms
  1. Mastermind is a two-player game where one player guesses the secret code of the other player.
  2. In the game, the first player guesses a number, and the response indicates how many digits were correctly placed in the secret code.
  3. An algorithm is needed to determine if a given sequence of guesses and their scores can be produced by a particular secret code.

[Solution]Problem 14: Smallest Closed Interval [Google]

Technology Made Simple • 19 implied HN points • 03 Dec 21
🕹 Technology Algorithms
  1. Given a set of closed intervals, find the smallest set of numbers that covers all the intervals, allowing for multiple smallest sets to be returned.
  2. Defining intersecting intervals involves comparing the lower bound of one interval with the upper bound of another to see if they intersect.
  3. Tighten the bounds by picking the smallest intersection between two intervals, considering different kinds of intersections.

GenAI will change how games are played

Let's talk games & AI. • 15 implied HN points • 19 Feb 24
🕹 Technology Algorithms
  1. In about 7.5 years, there is potential for playing any game experience whenever you want.
  2. The speed of GenAI model advancements will likely lead to faster response times for gaming.
  3. Over the next few years, GenAI will revolutionize how games are created and played through user-generated content, dynamic gaming experiences, and cloud gaming solutions.

Forward vs Backward Differentiation

The Palindrome • 2 implied HN points • 16 Jul 25
🕹 Technology Algorithms
  1. Neural networks can be trained effectively because of vectorization, which allows many calculations to happen at the same time.
  2. Gradient descent helps in optimizing complex functions by finding the best path for improvement in training.
  3. Backpropagation is a method that calculates the necessary adjustments for minimizing error, making the training process more efficient.