The hottest Applications Substack posts right now

And their main takeaways
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Top Technology Topics

July Newsletter

RSS DS+AI Section • 11 implied HN points • 03 Jul 23
🕹 Technology Data science Artificial Intelligence Ethics Research Applications
  1. The newsletter features updates on industrial strength data science, including committee activities and upcoming events.
  2. Ethics, bias, and diversity remain hot topics in data science and AI, with examples of generative AI misuse and intentional misuse.
  3. The newsletter includes practical tips, developments in research, and fun projects in the data science and AI field.

Update #45: Baidu's ChatGPT Rival and Machine Love

The Gradient • 9 implied HN points • 14 Mar 23
🕹 Technology AI Research Ethics Applications Innovation
  1. Baidu is launching an AI-powered chatbot to rival OpenAI's ChatGPT, highlighting the ongoing US-China technology competition.
  2. The history of US-China tech competition involves significant investments in AI, 5G, and emerging technologies since 2016.
  3. Researchers are exploring the concept of 'machine love' to guide AI systems towards supporting human flourishing and well-being.
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Bloom Filters and Beyond: An Illustrated Introduction and Implementation

Confessions of a Code Addict • 5 HN points • 05 Sep 23
🕹 Technology Data Structures Programming Algorithms Python Applications
  1. Bloom filters are efficient data structures for quick searches in large datasets and minimize memory usage, with a probabilistic approach to determining membership
  2. Bloom filters use hash functions and bit vectors to store data item membership information while conserving memory by not storing actual items
  3. Counting Bloom Filters are an extension that allow item deletion but come with weaknesses such as handling hash collisions and counter overflow, providing an advanced data handling tool

Vector Databases: Databases for the AI era

Engineering At Scale • 3 HN points • 15 Jul 23
🕹 Technology Databases AI Search Applications Conclusion
  1. Vector databases are trending in the tech industry, especially with AI applications and investments from various sources.
  2. Data can be classified into structured, semi-structured, and unstructured categories, each requiring different database solutions.
  3. Vector databases excel in handling unstructured data, like images and videos, providing specialized search capabilities for applications like recommendation systems and fraud detection.

Silicon Carbide: A Power Electronics Revolution

The Asianometry Newsletter • 3 HN points • 29 Mar 23
🕹 Technology Electronics Semiconductors Manufacturing Innovation Applications
  1. Silicon carbide is a powerful semiconductor with unique properties like wide bandgap and high temperature tolerance.
  2. Silicon carbide-based power electronics are revolutionizing the industry by enabling higher voltages and frequencies with lower power loss.
  3. Challenges in producing silicon carbide wafers have limited its adoption, but recent advancements are making it more commercially viable.

My Top `X` 2023 Recommendations

Olshansky's Newsletter • 1 HN point • 07 Jan 24
🕹 Technology Devices Applications Books Blogs Newsletters Podcasts Experiences
  1. Daniel Olshansky shares his top 2023 recommendations in various categories like devices, applications, books, blogs, newsletters, podcasts, shows & movies, Instagram accounts, experiences, and videos.
  2. Some highlighted recommendations include the Remarkable2 Tablet, Levels Health CGM, snipd app, Fireflies.ai, Founders Podcast, BoJack Horseman show, Leo Moves Instagram account, and improv classes.
  3. Olshansky expresses enthusiasm for different tools, media, experiences, and content creators that have made an impact on his life and interests.

Update #46: GPT-4 and Modular Reasoning for Visual Question Answering

The Gradient • 2 HN points • 28 Mar 23
🕹 Technology AI Machine Learning Research Models Applications
  1. OpenAI announced GPT-4, a significant improvement over previous models, capable of accepting visual input.
  2. ViperGPT and VisProg use large language models to output executable programs for Visual Question Answering, enhancing interpretability and generalization.
  3. GPT-4 being integrated into various real-world products highlights the potential impact of advanced machine learning models on society and the workforce.

AI, Mass Evolution, and Weickian Loops

Irregular Ideas with Paul Kedrosky & Eric Norlin of SKV • 1 HN point • 31 Mar 23
🕹 Technology AI Evolution Applications Feedback loops Programming Languages
  1. Early technology development often starts with simple wrappers around new platforms
  2. Application evolution now involves more direct feedback from users, leading to rapid development
  3. AI applications are evolving quickly, moving away from wrappers towards more complex services, but rapid evolution may lead to destabilization

Good LLM use cases

Expand Mapping with Mike Morrow • 0 implied HN points • 12 Feb 25
🕹 Technology AI LLM Data Applications Innovations
  1. Many people are trying to use LLMs, but often they aren't sure what problems to solve. It's important to find the right match between the tool and the issue.
  2. LLMs can be really useful for tasks like translation, helping people find information, and working with data. These are some of the best ways to use them.
  3. Successful LLM applications will focus on these core uses. It's all about using the technology for what it does best.

An Introduction to LSTM with Attention Model

Data Science Daily • 0 implied HN points • 01 Mar 23
🕹 Technology Machine Learning Neural Networks Artificial Intelligence Data science Applications
  1. LSTM models are good for handling input sequences of varied length like in language modeling and translation.
  2. Attention models help LSTM models focus on important parts of a sequence, improving accuracy.
  3. Combining LSTM with attention models can lead to better predictions and performance in tasks like natural language processing and image captioning.

LLMs for Dummies

Digital Native • 0 implied HN points • 12 Oct 23
🕹 Technology AI Language Models Applications Training Data Transformers
  1. Large language models (LLMs) like GPT-3 have rapidly improved in recent years, showing exponential growth in size and capability.
  2. LLMs work by translating words into numbers using word vectors stored in multidimensional planes, helping to capture relationships between words.
  3. There are various frameworks for LLM applications, such as solving impossible problems, simplifying complex tasks, focusing on vertical AI products, and creating AI copilot tools for faster and more efficient human work.

LifeGPT: Training a Psychic LLM to Predict Your Life

Alex Furmansky - Magnetic Growth • 0 implied HN points • 26 Dec 23
🕹 Technology AI Predictions Ethics Applications Future implications
  1. LifeGPT could predict specific life events like marriage or career paths with stunning accuracy.
  2. People may turn to AI like LifeGPT for decision-making and guidance instead of traditional sources like priests or psychics.
  3. LifeGPT's potential implications range from changing insurance pricing and healthcare to impacting relationships and careers.

Archetypes for AI

ML in Practice • 0 implied HN points • 11 Oct 23
🕹 Technology AI Robots Ethics Fiction Applications
  1. AI should enable humanity and not supersede it by interacting with us like empathy does.
  2. Archetypes for AI include AI overlords, companions or servants, and eye-level partners.
  3. Current AI lacks inner life and self-awareness, functioning more as subsystems or problem solvers.

Unlocking the Future of AI: Active Inference vs. LLMs

Spatial Web AI by Denise Holt • 0 implied HN points • 16 Nov 23
🕹 Technology AI Future Innovation Applications Governance
  1. Active Inference AI, based on the Free Energy Principle, represents a shift in AI, mimicking human brain function and continuous evolution, differing from static AI models.
  2. Large Language Models (LLMs) may excel in content creation but fall short in real-world applications due to lacking contextual awareness, explainability, and action-taking ability.
  3. Integration of Active Inference with HSML and HSTP in the Spatial Web forms a dynamic, self-evolving global network of intelligent agents, enabling governance frameworks and applications across various industries.

VERSES AI Demos Genius™ AI Platform: Pioneering the Future of AI with Active Inference

Spatial Web AI by Denise Holt • 0 implied HN points • 04 Nov 23
🕹 Technology Artificial Intelligence Innovation Future Evolution Applications
  1. VERSES AI's Genius™ platform showcases a new direction for AI with Active Inference, First Principles AI, and Shared Intelligence.
  2. Genius™ breaks away from traditional AI by utilizing Active Inference, which enables real-time learning and adaptation similar to the human brain.
  3. The Hyperspatial Modeling Language (HSML) acts as a bridge between virtual and real-world entities, facilitating multidimensional knowledge processing for intelligent agents.

Startup Chief of Staff Program @ Equal Ventures

Equal Ventures • 0 implied HN points • 05 Oct 20
💼 Business Startup Venture Capital Career development Operations Applications
  1. Equal Ventures launched a program to connect early-career generalists with early-stage companies, offering Chief of Staff opportunities.
  2. Participants will get matched with startups, receive training to accelerate career growth, and possibly prepare for senior roles or founding their own company.
  3. The application is open to U.S. and Canada operators with tech startup, consulting, or finance experience, who are self-directed and data-driven.

Inside the world's first AI university; companies are using generative AI to improve their businesses; IEEE says AI will drive major tech advancements this year; Google releases open source Gemma LLM

Computerspeak by Alexandru Voica • 0 implied HN points • 23 Feb 24
🕹 Technology AI Research Innovation Industry Applications
  1. The world's first AI university, MBZUAI, aims to educate AI leaders and conduct transformative research in various AI fields.
  2. AI is being used by companies to enhance business operations, boost creativity in the workplace, and drive major technological advancements according to IEEE.
  3. Google has released Gemma LLM as an open-source tool, contributing to the evolution of AI technology.

Why we shouldn't fear tech nationalism; copyright law will dominate the AI conversation in 2024; researchers develop AI tools that can evaluate college exams; everything you need to know about ChatGPT

Computerspeak by Alexandru Voica • 0 implied HN points • 05 Jan 24
🕹 Technology AI Ethics Applications Research Globalization
  1. Countries around the world are investing in AI initiatives to control their destinies, leading to a democratization of AI capabilities.
  2. Diverse organizations investing in AI programs globally accelerate innovation and address critical gaps not handled by Silicon Valley.
  3. Collaboration among nations in AI research, while maintaining ethics and governance, will lead to more breakthroughs and sharing of best practices.

Javascript Crypto Is Useful

Thái | Hacker | Kỹ sư tin tặc • 0 implied HN points • 18 Jun 14
🕹 Technology Crypto Security Programming Web Applications
  1. Javascript crypto can help solve problems, but can be tricky due to lack of types and permissive run-times. It's important to validate input, minimize type conversions, use typed arrays, and employ Google Closure for type checking.
  2. Javascript crypto has various useful applications like building crypto clients, avoiding PCI DSS scope for credit card processing, securing data against leaks, and reducing latency through code caching with digital signatures.
  3. Despite its challenges, programming crypto in Javascript is feasible and has gained support from notable organizations like Stanford, Google, Microsoft, and W3C.

RAT — Retrieval Augmented Thoughts

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 13 Mar 24
🕹 Technology AI Generative Machine Learning Reasoning Applications
  1. RAT combines two methods: Chain-of-Thought (CoT) prompting and retrieval augmented generation (RAG). It helps improve complex reasoning tasks by revising thoughts step-by-step.
  2. Finding a balance between efficiency and accuracy is important when using AI tools. Too many checks can slow down the process, but having high accuracy is crucial for user satisfaction.
  3. Using RAT shows better performance in tasks like coding and creative writing compared to other methods. This approach helps avoid mistakes and ensures more accurate responses.

Large Language Model Programs

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 12 Dec 23
🕹 Technology AI Applications NLP Development Learning
  1. Using Large Language Models (LLMs) can improve many applications without needing to fine-tune them. Just accessing their capabilities as needed can work well.
  2. Breaking complex tasks into smaller steps makes it easier to manage, and LLMs can handle each part effectively. This helps in getting better results from these models.
  3. Data plays a big role in how LLMs work alongside other tools. Having clear strategies for handling data can really enhance the performance and flexibility of LLM systems.

What Constitutes A Large Language Model Application?

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 30 Mar 23
🕹 Technology AI Software Machine Learning Applications Data Analysis
  1. Large Language Models (LLMs) are advanced AI tools that can understand and create human language. They help with tasks like writing, summarizing, and recognizing different pieces of information.
  2. There are different parts to building applications with LLMs. This includes using models, tools for development, and creating apps that end users can interact with.
  3. Prompt engineering is important for getting the best results from LLMs. It involves creating and managing prompts to guide the AI in generating useful responses.