The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Tech Mahindra Finally Takes on OpenAI

Sector 6 | The Newsletter of AIM • 39 implied HN points • 28 Aug 23
🕹 Technology AI
  1. Tech Mahindra is developing a new language model called Project Indus to improve communication in various Indian languages, starting with Hindi. This is a big step for Indian IT companies in the AI field.
  2. The project aims to cover 40 different Hindi dialects initially and later expand to other Indian languages. They plan to reach a significant portion of the world's population with this technology.
  3. Led by CP Gurnani, this initiative is part of Tech Mahindra's Makers Lab, showcasing their commitment to innovation and challenging existing AI leaders like OpenAI.

Drowning below the LLM

State Transition • 39 implied HN points • 25 Mar 23
🕹 Technology AI
  1. AI advancements are happening rapidly across various platforms.
  2. Being an early adopter of AI technology can bring opportunities but also risks.
  3. To navigate the fast pace of AI changes, follow high-signal individuals and start building something.

In the name of progress ...

Grist Potentia • 39 implied HN points • 31 May 23
🕹 Technology AI
  1. Technology has been exciting humans for centuries, from basic tools to AI.
  2. Despite fears, humanity embraces technology, believing it leads to job creation and prosperity.
  3. Many techno-optimists have strong faith in the positive impacts of technology.

⚡️ Stability for Blender, AI summarisation now in Brave

aidaily • 39 implied HN points • 03 Mar 23
🕹 Technology AI
  1. Brave Search has launched a new AI-powered summarization feature.
  2. Stability AI has introduced a free tool for Blender, allowing users to create AI-based textures and effects without the need for a skilled 2D artist.
  3. Various AI tools are available for tasks like image editing, font pairing, website scraping, legal document summarization, and voice transformation.
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Back from the Brink

Sector 6 | The Newsletter of AIM • 39 implied HN points • 30 Aug 23
🕹 Technology AI
  1. OpenAI was struggling financially but is now expecting to earn about $1 billion in the next year. This is a huge increase from the earlier projection of $200 million.
  2. The company's new product, ChatGPT Enterprise, is designed for businesses and offers better security, faster access, and more customization options.
  3. These changes are helping OpenAI feel more confident about its future revenue and success in the AI market.

AI breakthrough

Rahul’s Newsletter • 39 implied HN points • 26 Mar 23
🕹 Technology AI
  1. The AI breakthrough at the Microsoft event was groundbreaking and showcased a new era of tools.
  2. The use of advanced AI tools will have a significant impact on society, becoming the new normal for younger generations.
  3. While embracing new technology is important, there is concern about the potential automation of complex skills and the limitations it may place on human agency.

The Concurrency Ambition

Money in Transit • 39 implied HN points • 21 Aug 23
🕹 Technology AI
  1. Software now needs to handle multiple tasks at once due to hardware limitations
  2. Old programming languages may not be efficient for handling concurrency
  3. Async programming allows tasks to take turns, making it easier to handle concurrency

Trusted AI - An April Apology

Trusted • 39 implied HN points • 25 Apr 23
🕹 Technology AI
  1. The author won't have a longform post due to family health issues.
  2. Upcoming posts will cover AI existential risk, cybersecurity and regulatory frameworks.
  3. The focus of the blog will remain AI-related but some changes in title and descriptions are expected.

Who are We?

Silicon Reckoner • 39 implied HN points • 19 May 23
🕹 Technology AI
  1. Geoffrey Hinton's resignation from Google raises concerns about democratic decision-making in technology
  2. The involvement of tech industry in mathematical research may reduce autonomy of practitioners
  3. There is a need to reconsider current models of AI governance and prioritize societal interests over corporate motives

Datasette Cloud and the Datasette 1.0 alphas

Datasette Newsletter • 39 implied HN points • 22 Aug 23
🕹 Technology AI
  1. Datasette Cloud aims to make it easier for teams to collaborate on finding stories in their data
  2. Datasette 1.0 alphas focus on stability and security, with recent fixes for a vulnerability in the series
  3. LLM is a new project inspired by Datasette for working with Large Language Models

Compilation Post 2

Extropic Thoughts • 39 implied HN points • 07 Apr 23
🔬 Science AI
  1. The AI industry is rapidly evolving and impacting various sectors, with a rise in incidents of misuse and growing demand for AI-related skills.
  2. Different perspectives on regulating AI and the importance of considering equilibrium and feedback mechanisms in AI development.
  3. Climate and energy topics like the declining cost of cultivated meat and the impact of global warming on temperature-related deaths are being discussed.

Governing by apocalypse

Antimaterie • 39 implied HN points • 31 May 23
🕹 Technology AI
  1. The fear of AI wiping out humanity is being used as a scare tactic by elites to gain control of the field.
  2. Governments are worried about losing control as individuals gain access to vast knowledge through AI applications.
  3. The power of AI to extract knowledge from information poses a threat to established narratives and information control by governments and elites.

Right on cue, the military-industrial complex

Silicon Reckoner • 39 implied HN points • 10 Jun 23
🕹 Technology AI
  1. There are concerns about the involvement of tech companies in military-industrial complex activities.
  2. Booz Allen Hamilton's connections to surveillance activities and collaborations raise questions about their motives.
  3. The concept of 'human compatible' AI is questioned in relation to corporate interests and ethical considerations.

Artificial Intelligence Isn’t Human Intelligence. So What?

Mimir's Well • 39 implied HN points • 08 May 23
🕹 Technology AI
  1. The practical impact of AI matters more than philosophical debates on human-like intelligence.
  2. Generative AI is being used to improve productivity and creativity in workplaces, potentially impacting job roles.
  3. Despite current limitations, generative AI has potential for creating high-quality work and will likely improve further in the future.

Risks to teaching as work and teachers as workers

imperfect offerings • 39 implied HN points • 17 Jul 23
🚌 Education AI
  1. Teachers are vulnerable to automation and AI tools that could change the nature of their work and how it's valued.
  2. AI has the potential to impact various professions beyond teaching, such as journalism, acting, music, and art, through automation of tasks and production.
  3. The use of AI in different sectors, driven by profit motives, can lead to job insecurity and challenges to worker's rights across industries.

Back to college with generative AI

imperfect offerings • 39 implied HN points • 18 Sep 23
🕹 Technology AI
  1. Generative AI is being integrated into various platforms and tools, such as Microsoft Office, making it more accessible to business users.
  2. Educators are facing new challenges in incorporating generative AI into teaching practices while maintaining responsible and ethical use.
  3. Resources and guidelines are available to help teachers and students navigate the use of generative AI in education, emphasizing ethical and critical considerations.

Imprecise Computers

Fully Distributed by Ori Eldarov • 39 implied HN points • 13 Mar 23
🕹 Technology AI
  1. Computers have shifted from deterministic to imprecise models, impacting our trust in technology.
  2. The explainability problem in AI poses challenges in understanding how AI systems arrive at conclusions.
  3. Building a safe AI future involves rigorous testing, continuous model tuning, and government involvement.

Must Learn AI Security Compendium 7: What is Generative Automation?

Rod’s Blog • 39 implied HN points • 04 Oct 23
🕹 Technology AI
  1. Generative automation uses generative AI to automate tasks that require creativity or human-like reasoning, like writing a poem or designing a logo.
  2. Generative automation benefits various industries by helping with content creation, design, education, research, and more.
  3. Security challenges in generative automation include data security, access control, malicious code, third-party dependencies, human error, and lack of transparency.

Google’s Missed AI Opportunity

Sector 6 | The Newsletter of AIM • 39 implied HN points • 31 Aug 23
🕹 Technology AI
  1. Google missed a huge chance by overlooking the Transformer paper in 2017, which cost them around $6.2 billion. This mistake allowed others to build successful AI startups.
  2. The authors of the Transformer paper have moved on to create their own companies, showing the impact of their work and how they’ve found success after leaving Google.
  3. Such missed opportunities highlight the importance of recognizing and supporting innovative research within companies like Google.

Preparing the SOC for Generative AI

Rod’s Blog • 39 implied HN points • 05 Sep 23
🕹 Technology AI
  1. Before implementing Generative AI in a SOC, it's important to configure incident tags to provide more information for AI.
  2. Assigning specific incidents to analysts based on skillsets through automation rules can enhance SOC efficiency.
  3. Practicing gathering information to create better Generative AI prompts is crucial for successful AI utilization in a SOC.

The New Age of Invention

davidj.substack • 47 implied HN points • 07 Feb 25
🕹 Technology AI
  1. Building software is now much easier and cheaper because of AI tools. This means more people can try out their ideas even if they aren't experts.
  2. People who can read and write code can now create custom software for their specific needs. This opens up possibilities for personal projects that were once too complex or costly.
  3. The trend of making software easier to build may lead to a huge increase in the number of new inventions and tools. More ease means more experimentation and creativity happening at a faster pace.

A Benchmark for Verifying Chain-Of-Thought

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 07 Feb 24
🕹 Technology AI
  1. A new dataset called REVEAL helps check if reasoning used in answers is correct or logical. It assesses whether each part of the reasoning leads to the final answer.
  2. REVEAL focuses on verifying claims based on provided evidence. It does not check how the evidence was found, but how well the reasoning uses it.
  3. Creating detailed datasets like REVEAL is complex and time-consuming. It requires skilled annotators to carefully evaluate the logic and relevance in each reasoning step.

How Should Authors Navigate AI and Publishing Contracts?

Notes from a Small Press • 16 implied HN points • 04 Aug 25
📚 Literature AI
  1. Authors should carefully read their publishing contracts to understand who holds the copyright. Most often, authors keep the copyright but grant publishing rights to the publisher.
  2. When it comes to AI and training sets, contracts may not clearly state the rights regarding the use of an author's work, leading to confusion. Authors might have options to opt out of having their work used in AI training.
  3. The publishing landscape is complicated due to ongoing legal issues and AI's increasing role in content creation. Authors need to stay informed and consider how these changes might affect their rights and income.

Christmas Special: 20% Off Forever

The Algorithmic Bridge • 63 implied HN points • 02 Dec 24
🕹 Technology AI
  1. The subscription to The Algorithmic Bridge is currently 20% off, and this discount will stay with you forever once you claim it. This offer is available until January 1st.
  2. There are three key reasons to subscribe: honesty, commitment, and humanity. The creator avoids ads, works full-time on this project, and focuses on how AI affects people.
  3. Starting January 1st, the subscription price will increase to $10 per month or $100 per year for new subscribers. Current subscribers will keep their original pricing.

what happens when we hollow out work?

State of the Future • 39 implied HN points • 12 Mar 25
🕹 Technology AI
  1. People might react strongly to job losses caused by AI. Some may feel despair and turn inward, while others might fight back and protest.
  2. History shows that when people feel powerless due to industrial changes, they often rebel. This could happen again with the rise of automation in the workforce.
  3. To move forward, we need to find new meaning and purpose in our lives that aren't tied to work. Embracing community and personal connections may be key to thriving in a future with less traditional employment.

Brief: How Microsoft AI Protects Your Data Privacy

Rod’s Blog • 19 implied HN points • 07 Feb 24
🕹 Technology AI
  1. Microsoft AI is based on the principle of 'your data is your data', emphasizing that you own and control your personal data.
  2. Microsoft AI ensures data privacy by collecting and using data with consent, not selling data to third parties, and implementing strong security measures.
  3. Data privacy is crucial for AI as it builds trust, protects human rights and promotes innovation in the industry.

Talking to Computers Is My Default Form of Communication

Default Wisdom • 55 implied HN points • 02 Jan 25
🕹 Technology AI
  1. Talking to computers has become a normal way for many people to communicate. It feels easier and more natural as technology advances.
  2. The growth of technology has changed how we interact with each other and the world around us. More conversations now happen through screens instead of face-to-face.
  3. Understanding how humans relate to technology is important. It can help us improve communication and make our interactions with computers better.

DORA: AI boosting productivity, hindering delivery

Bit Byte Bit • 65 implied HN points • 22 Nov 24
🕹 Technology AI
  1. AI is making developers more productive, but it's also slowing down software delivery. This means while developers can code faster, it doesn't always translate to quicker releases.
  2. Larger changes in software deployment can be riskier and slower. It's often better to make smaller changes that are easier to manage.
  3. The speed of AI adoption might be leading to short-term delivery issues, but organizations might eventually find better ways to balance productivity and delivery as they adapt.

Accelerating genetic design

The Century of Biology • 272 implied HN points • 26 Mar 23
🔬 Science AI
  1. Multiple important technological paradigms are converging in the life sciences, impacting life on various scales.
  2. Synthetic biology focuses on designing new genetic circuits to program cells for new tasks.
  3. Using a platform like CLASSIC, genetic circuits can be systematically tested to learn composition-to-function relationships.