The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Partial Intelligence and Super-intelligence

Charles Eisenstein • 5 implied HN points • 21 Dec 24
🕹 Technology Artificial Intelligence Human-computer interaction
  1. Artificial intelligence (AI) shows amazing skills but it's not the same as human intelligence. AI learns from patterns in data, but it doesn't feel emotions like humans do.
  2. AI can simulate deep conversations and insights but lacks true self-awareness or consciousness. It's designed to mimic human responses without actually experiencing them.
  3. The relationship between AI and humans is complex. As we rely more on AI, we risk losing touch with our own natural experiences and emotions, which are vital to understanding intelligence.

#49

The Nibble • 12 implied HN points • 02 Mar 24
🕹 Technology AI Cryptocurrency Software Development Hardware Web Development
  1. Figure raised $675M for humanoid robots with investments from big tech players like Microsoft and NVIDIA.
  2. Tim Cook hints at Apple's groundbreaking move in Generative AI and discontinues Project Titan.
  3. Elon Musk sues OpenAI for prioritizing profits over public good, marking a significant development in the tech industry.

Elon's Current War

The Carousel • 21 implied HN points • 06 Jun 23
🕹 Technology Social media Advertising Censorship Subscription Business Models
  1. Elon Musk is facing a battle with advertisers on Twitter, with some trying to bankrupt the platform by pulling ad spending.
  2. Large advertisers coordinate efforts to control public discourse and speech on platforms like Twitter through censorship organizations and stakeholder capitalists.
  3. Elon Musk is navigating a conflict between his support for free speech and the need to appease advertisers to bridge the revenue gap on Twitter.

Is there life after death with AI? Google considers charging for AI-based searches; a new wave of AI gadgets; a researcher takes on election deepfakes; applying AI to real-world problems

Computerspeak by Alexandru Voica • 1 HN point • 05 Apr 24
🕹 Technology AI Generative AI Deepfakes
  1. Advancements in generative AI are transforming the concept of photo albums into interactive synthetic media albums that allow for realistic re-experiencing of memories.
  2. AI-powered interactive photo albums have the potential to revive past loved ones by creating realistic 3D avatars and can also bring back deceased celebrities, bridging generational gaps.
  3. The rise of AI technologies for storytelling raises ethical concerns but offers powerful new ways to preserve and share memories and narratives with future generations.

Data Science Weekly - Issue 427

Data Science Weekly Newsletter • 19 implied HN points • 27 Jan 22
🕹 Technology Data science Machine Learning Artificial Intelligence Statistics Data Engineering
  1. Using offline replay experimentation can help predict results faster, cutting down the time usually needed for online experiments.
  2. Bad data can seriously affect business operations, and understanding how it breaks is crucial for fixing dashboards and reports.
  3. Shapley values can explain machine learning models by distributing how each feature contributes to predictions, making the model's decisions clearer.
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Second-Order Consequences

IntelEdge360 with Bidemi Ologunde • 1 HN point • 05 Apr 24
🕹 Technology Cybersecurity Threat assessment Data Analysis
  1. Ryan's routine before high-level intelligence briefings involves distinct activities to prepare mentally and logistically.
  2. In his briefing, Ryan utilizes various intelligence sources like OSINT, HUMINT, and SIGINT to analyze cyber threats and their implications on global operations.
  3. Scenario planning helps organizations like Ryan's client in the Middle East prepare for various cyber threats, fostering resilience and strategic foresight to navigate digital complexities.

✅ Monday briefing #12: AI bias, hype and creativity, search alerts, lockdown lookup tool, BAME voices, dark social primer, and freelance talent

Wadds Inc. newsletter • 39 implied HN points • 21 Sep 20
🕹 Technology Artificial Intelligence Digital Tools Public Relations Crisis Management Remote work
  1. AI bias is a big issue, as shown by problems where software can misidentify people of different races. It's important to recognize and address bias in technology.
  2. There is a lot of hype around AI, especially in marketing, but much of it is just automation or data analysis. We need to focus on the real capabilities and limitations of AI.
  3. Freelancers are often underused in the PR industry, and companies need to be clearer about how they use freelance talent to improve their services.

✳✴❇ Behavioural Science, Better Data Engineering & Timnit Gebru’s New Institute

Sector 6 | The Newsletter of AIM • 19 implied HN points • 05 Dec 21
🕹 Technology Data science Machine Learning Behavioral Science Analytics Engineering
  1. Behavioral science can improve how data engineering is done. Understanding how people think and behave helps create better tech solutions.
  2. There’s a new hackathon for data scientists featuring a challenge to predict loan defaults. It has already attracted over 1,000 participants.
  3. A conference for machine learning developers will be held in-person in Bangalore. It's a great opportunity to learn and connect with others in the field.

An unbelievable opportunity

Charles Eisenstein • 12 implied HN points • 04 Mar 24
🕹 Technology AI Digital Media Automation Artificial Intelligence Tech Ethics
  1. Investing in low-tech enterprises can be a unique and profitable opportunity, even in a world dominated by high-tech innovations.
  2. The rise of AI-generated content poses challenges in different sectors like academia, legal writing, and cultural preservation, questioning the authenticity of digital information.
  3. Engaging with physical artifacts like typewriters can offer a tangible connection to reality and a break from the isolation often experienced in the digital world.

RISC-V vector crypto spec freeze update

Fprox’s Substack • 20 implied HN points • 25 Jun 23
🕹 Technology Crypto Extensions Specifications Performance
  1. The RISC-V vector crypto specification has reached the frozen milestone after approval by the ARC and RVIA committee chairs.
  2. Changes include revised instructions for better integration, addition of new instructions like 'vgmul.vv', and splitting the Zvkb extension into Zvbb and Zvbc.
  3. The new Zvkt extension emphasizes data-independent timing for secure software implementations and the specification introduces meta-extensions for different cryptography suites and simplified illegal instruction conditions.

Writing an OS kernel in Odin

bumbread • 3 HN points • 28 Oct 23
🕹 Technology Programming Operating Systems
  1. Writing OS kernels in high-level languages like Odin requires adjustments due to assumptions made by these languages about the target system.
  2. Enabling SSE instructions in an OS kernel written in Odin is necessary, as some CPUs don't have SSE enabled by default.
  3. When compiling an OS kernel in Odin, specific compiler flags like -target:freestanding_amd64_sysv and -no-crt are important for the build process.

#96 — OAI on "wrong side of history", Superglue brings React to Rails, Waiter at Denny's talks about GPUs and future

The Nibble • 4 implied HN points • 04 Feb 25
🕹 Technology AI Software Development Computing Innovation
  1. OpenAI has released a new model called o3-mini, which is faster and cheaper than previous versions. This model is meant to improve reasoning tasks and is available for various subscription plans.
  2. Superglue is a new library that helps combine React and Rails for building web applications. It makes development easier and more efficient by enhancing server-side rendering and dynamic interactions.
  3. The Doomsday clock is now only 89 seconds to midnight, raising concerns about global threats like AI and nuclear weapons. This reflects how urgent these issues have become in today's world.

Data Science Weekly - Issue 426

Data Science Weekly Newsletter • 19 implied HN points • 20 Jan 22
🕹 Technology Data science Artificial Intelligence Machine Learning Software Development Programming
  1. Prospective learning is important because it focuses on preparing for future challenges instead of just learning from past experiences. This helps both humans and AI to adapt to new situations better.
  2. AI is set to change the field of medicine greatly, making things better for both doctors and patients by improving medical tools and approaches. But there are important ethical and technical issues to consider, like data fairness and bias.
  3. Using vectorization can speed up Python code significantly, but it's essential to understand what it means and when to apply it. This way, you can handle large sets of data more efficiently.

Week 76 - E4 - Discover the AI PM Universe: The Many Faces of AI Product Managers 🤖

The Product Channel By Sid Saladi • 13 implied HN points • 28 Jan 24
🕹 Technology AI Infrastructure Generative AI Conversational AI Computer Vision AI Security
  1. AI product management has various roles like AI Infrastructure PMs, Ranking PMs, Generative AI PMs, Conversational AI PMs, Computer Vision PMs, AI Security PMs, and AI Analytics PMs.
  2. Each type of AI PM role has specific skills and responsibilities like deep knowledge of full AI infrastructure tech stacks for AI Infrastructure PMs, tuning relevance algorithms for Ranking PMs, and incorporating human-in-the-loop feedback loops for Generative AI PMs.
  3. To excel in AI Product Management, it's crucial to understand the landscape, develop relevant skills, and embrace a mindset of continuous learning and adaptation to innovate effectively.

Toward Better AI Milestones

Am I Stronger Yet? • 15 implied HN points • 20 Nov 23
🕹 Technology AI implications Software Development Machine Learning Artificial Intelligence
  1. Defining good milestones for AI progress is challenging due to the evolution of tasks as AI capabilities advance.
  2. Milestones should focus on real-world tasks with economic implications to avoid proxy failures.
  3. Measuring AI progress through milestones like completing software projects independently or displacing human workers in certain jobs can provide insights on capabilities and real-world impact.

Cellphone location-tracking firm follows in Palantir's footsteps with Large Language Model

All-Source Intelligence Fusion • 20 implied HN points • 20 Jun 23
🕹 Technology Surveillance Artificial Intelligence Data Analysis Government Contracts
  1. Babel Street announced the launch of its "Insights GPT" large language model.
  2. Babel Street aims to transition from a cellphone location-tracking firm to an artificial intelligence company.
  3. The Insights GPT platform may have significant government surveillance use cases, such as summarizing data on the Chinese Communist Party.

Sort Product Update – September 2024

Database Engineering by Sort • 7 implied HN points • 03 Sep 24
🕹 Technology Software APIs Data Management Product Updates Collaboration
  1. The Sort API is now live and allows users to manage their data workflows completely online. You can access all the features you find in the Sort web app through the API.
  2. There’s a new feature called the Sort Playground that makes it easier for users to try out and request data changes. It’s user-friendly and allows anyone to add or edit data easily.
  3. Sort is open to feedback and suggestions from users. If you have ideas for improvements, you can reach out to them directly.

Venue clarification for event tonight at Central Hall Westminster, Storey's Gate, London SW1H 9NH

RSS DS+AI Section • 5 implied HN points • 05 Dec 24
🕹 Technology AI Public Sector Machine Learning Events Analysis
  1. The event is at Central Hall Westminster, starting from 6 PM to 7:15 PM, focusing on AI in public services.
  2. After the talk, attendees can go to The Feathers pub at 7:30 PM to discuss AI and enjoy some drinks.
  3. Joe Hill will be presenting insights from his report on scaling AI in public services.

The End of Software, Long Live Software

Chaos Engineering • 5 implied HN points • 04 Dec 24
🕹 Technology AI Software Data Automation Engineering
  1. AI Agents are changing how we think about software. They are smart programs that can do tasks for us, but we still need humans to help out to make sure everything runs smoothly.
  2. Using AI to create software can make things cheaper, but it also makes the software more complex. As we rely on AI, we need to ensure we can trust it to work reliably.
  3. Data is super important for AI to work well. We need to collect good quality data to train these AI Agents so they can do their jobs effectively and produce accurate results.

Data Science Weekly - Issue 425

Data Science Weekly Newsletter • 19 implied HN points • 13 Jan 22
🕹 Technology AI Data science Machine Learning Analytics Ethics
  1. Be careful when joining a data or tech team; look for warning signs that could mean trouble. It's important to ensure a good fit for your career.
  2. The AI job market is constantly changing, so it's good to stay informed and adapt your strategies for landing jobs in this field.
  3. Transformers are now widely used in natural language processing and are also making their way into computer vision, making it important to understand how they work.

🧊 The Container Iceberg, New Era of Global Databases, the 70% Dilemma in AI Coding, & More

HackerPulse Dispatch • 5 implied HN points • 10 Dec 24
🕹 Technology Software Development Cloud Computing Database Systems Programming Languages
  1. Companies are moving away from VMware because of high cost increases. Many are finding open-source options like OpenNebula to save money and improve efficiency.
  2. A new coding language called PyGyat has playful syntax, making Python coding more fun. It allows developers to switch between traditional Python and PyGyat easily.
  3. AI tools can help speed up coding, but they have limitations. While they help create initial code quickly, the last touches needed for quality often still require human expertise.

The Intricate Link Between Compression and Prediction

Mindful Modeler • 3 HN points • 24 Oct 23
🕹 Technology AI Data science Machine Learning Predictive Models Compression
  1. K-nearest neighbors with compressed documents can outperform deep learning models for text classification.
  2. Compression and prediction are closely linked - a good theory about the world can be both compressed and predicted well.
  3. Good predictors can also be good compressors; models like language models act as compressors while predicting.

Intelligence in the World

New World Same Humans • 15 implied HN points • 12 Nov 23
🕹 Technology AI Data Energy Infrastructure Models
  1. Intelligence is becoming infrastructural, like a new form of energy, powering the world in the Exponential Age.
  2. In the Exponential Age, intelligence is becoming superabundant, available everywhere, like never before in history.
  3. Intelligence in the new world is seen as a new form of energy that does useful work in the digital-physical field, driving a variety of technologies.

Why Spotify’s Podcast Bet Failed

Divinations • 4 implied HN points • 06 Feb 25
🕹 Technology Audio Streaming Media Artificial Intelligence Digital Content
  1. Spotify's focus on exclusive podcast deals backfired because many users didn't find them worth switching apps for. Most listeners prefer a variety of content without being locked into one platform.
  2. Spotify ignored the core podcasting community and failed to provide the features creators wanted, like audience growth opportunities. Unlike YouTube, which supports creators with promotion and monetization, Spotify's approach was too limited.
  3. The company misjudged how listeners engage with podcasts. Instead of treating them as just another product, Spotify should have focused on building a community around podcasts and catered to dedicated fans.

No one wants to host their own LLM Model or Blockchain Node

Olshansky's Newsletter • 12 HN points • 19 Feb 24
🕹 Technology AI Blockchain Infrastructure API Inference
  1. Users prefer paying for cheaper, faster, and easier-to-use solutions rather than hosting their own LLM models or blockchain nodes.
  2. Infrastructure companies in AI and Web3 are competing in a race to provide cost-effective services in a commoditized market.
  3. Success in open-core ecosystems requires balancing between hardware operation and gateway services, with a focus on reliability, performance, and cost.

#47

The Nibble • 12 implied HN points • 18 Feb 24
🕹 Technology Programming Startups AI Web Development Tools
  1. Amazon's LLRT is a lightweight JavaScript runtime for serverless environments, aiming to boost JS performance.
  2. The appeal of Big Tech jobs has diminished in the past 2 years due to layoffs, pay decreases, and less attractive perks.
  3. Understanding Top Level Domains (TLDs): gTLDs are generic while ccTLDs are country-specific and riskier.

Clouded Judgement 2.7.25 - "Group + Triage" AI Systems

Clouded Judgement • 4 implied HN points • 07 Feb 25
🕹 Technology AI Systems Software Cloud Computing Data Management Automation
  1. AI can really help with organizing and prioritizing tasks in many areas like customer support and fraud detection. This means faster and more efficient decision-making for businesses.
  2. Cloud software companies like Amazon, Microsoft, and Google are seeing some slower growth lately. It's important to keep an eye on how they perform in future reports.
  3. The value of a software company is often based on its revenue, especially when it's not profitable yet. Understanding these valuation methods can help investors make smarter choices.

The AI revolution is an opportunity for writers (the human kind)

Substack Blog • 14 HN points • 13 Dec 23
🕹 Technology AI Content creation Automation Artificial Intelligence
  1. The AI revolution can offer opportunities for writers by enhancing and valuing original human work.
  2. AI may commoditize content creation, but it cannot replicate the vital human connection in cultural production.
  3. Human relationships and the value of culture will continue to grow, despite advancements in AI and automation.

Meta's New AI model, Generating websites and 3D textures using natural language, economic potential of Generative AI and more

AI Brews • 20 implied HN points • 16 Jun 23
🕹 Technology AI Generative AI Machine Learning Artificial Intelligence Big Data
  1. Meta AI introduces a new Image Joint Embedding Predictive Architecture model that excels in computer vision tasks and is open-sourced.
  2. McKinsey's report highlights the economic potential of generative AI, estimating it could add trillions annually across various use cases.
  3. EU lawmakers pass regulations for AI systems, requiring review of generative AI like ChatGPT before commercial release and banning real-time facial recognition.

turbopuffer

Why Now • 5 implied HN points • 09 Dec 24
🕹 Technology Software Data Management Infrastructure Cloud Computing Developer Tools
  1. It's important to look for companies that create strong communities or 'religions' around their products. Companies that divide opinion often attract attention and engagement.
  2. Object storage is a powerful way to manage data, allowing for flexible and efficient storage. It uses a flat structure for data organization, making it faster to access compared to traditional file storage.
  3. The separation of storage and compute resources helps businesses scale more effectively. This means you can add storage or processing power independently, making it more efficient for varying demands.