The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Search Fund/Entrepreneurship Through Acquisition

Captain's Log • 8 implied HN points • 08 Jul 23
💼 Business AI
  1. Entrepreneurship Through Acquisition involves acquiring small to medium-sized businesses and becoming the CEO without climbing the corporate ladder.
  2. The process includes raising funds for a search fund, locating a business to acquire, operating it for 5-7 years, then selling it.
  3. Despite the value in AI-driven businesses, the lengthy search process and moderate outcomes may deter pursuing Entrepreneurship Through Acquisition.

Why I Stopped Using Paid AI Services

The AI Observer • 5 implied HN points • 26 Feb 24
🕹 Technology AI
  1. Understanding different scales can provide valuable perspective on personal and global challenges.
  2. Recognizing the interconnectivity of all things can help in decision-making and problem-solving.
  3. Developing scientific literacy by understanding scales in the universe is crucial for informed decision-making in various aspects of modern society.

Smarter Learning Rates, Medical AI, and Compiler Innovations

HackerPulse Dispatch • 2 implied HN points • 20 Dec 24
🕹 Technology AI
  1. New learning rate techniques, like SGD-SaI, are making AI training more efficient and using less memory. This means large models can learn better and faster.
  2. AI is showing amazing skills in medical tasks, sometimes even better than doctors, but it still has some limitations in certain areas.
  3. There are advancements in AI compilers that help optimize how programs run, making them more efficient. This is important for developing smarter AI systems.
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The old gods are dead

Metal Machine Music by Ben Tarnoff • 19 implied HN points • 14 Jan 20
🕹 Technology AI
  1. The techlash has torn down old beliefs about technology, but new ideas to replace them are still in flux.
  2. The left hasn't solidified a clear stance on tech issues yet, despite the abundance of progressive thinkers.
  3. To create a meaningful tech agenda, understanding the role of capitalism in technology is crucial in addressing wealth disparities and societal hierarchies.

Yes, AIs ‘understand’ things

Nonzero Newsletter • 5 HN points • 22 Feb 24
🕹 Technology AI
  1. The classic argument against AI understanding, the Chinese Room thought experiment, is challenged by large language models.
  2. Large language models (LLMs) like ChatGPT demonstrate elements of understanding by processing information similarly to human brains when it comes to understanding.
  3. LLMs show semantic understanding by mapping words to meaning, undermining the belief that AIs have no semantics and only syntax as argued by Searle in the Chinese Room thought experiment.

Tokenomics 101: Navigating the Nuances of LLM Product Pricing

ScaleDown • 5 implied HN points • 20 Feb 24
🕹 Technology AI
  1. Token-based pricing for LLM applications can be complex as it involves more than just input and output tokens. Consider additional factors like system prompts, context tokens, and evaluation tokens for accurate cost estimation.
  2. Estimating the price of a GenAI chatbot involves considering not only the direct input and output tokens but also context tokens, system prompts, and real-world applications like regeneration and error handling.
  3. When budgeting for GenAI applications, remember to include overheads like evaluation of outputs and guardrails in your cost analysis. These additional requirements can significantly increase the total token costs.

Sora’s Surreal Physics

Marcus on AI • 5 HN points • 16 Feb 24
🕹 Technology AI
  1. The quality of the video produced by OpenAI's latest text-video synthesizer is impressive, almost indistinguishable from reality at a glance.
  2. OpenAI's lack of transparency on training models raises concerns about potential misuse for disinformation and propaganda, especially in upcoming events like the 2024 elections.
  3. Sora's unrealistic physics glitches indicate limitations in generative AI systems like Sora, demonstrating issues in understanding space, time, and causality crucial for building true AGI capabilities.

#89

The Nibble • 2 implied HN points • 16 Dec 24
🕹 Technology AI
  1. Google's new quantum chip, Willow, can perform complex calculations much faster than current supercomputers, which could improve AGI development.
  2. OpenAI and Google are actively releasing new AI models, indicating a competitive environment in AI technology.
  3. The emergence of new financial tools and regulations around crypto, like no capital gains tax countries and new crypto cards, suggests the growing mainstream acceptance of cryptocurrencies.

I left AI Research to build an AI Startup. Here is what I learned.

Oleksii Sidorov • 10 HN points • 14 Feb 23
🕹 Technology AI
  1. In real life, business cares more about whether your AI solution solves a problem than about complex models or theories.
  2. Simplicity often wins in AI solutions - using what you understand well and can deploy quickly can be more effective than complex algorithms.
  3. Understanding the problem domain deeply and focusing on impact rather than endless research is crucial for successful AI projects.

🦾 Deepfakes, Empathy & OpenAI Updates

HackerPulse Dispatch • 5 implied HN points • 16 Feb 24
🕹 Technology AI
  1. OpenAI disrupted five state-affiliated malicious actors exploiting AI services, demonstrating a commitment to ethical AI.
  2. ImplicitDeepfake1 merges deepfake tech with Neural Radiance Fields and Gaussian Splatting for advanced 3D avatar creation and gaming.
  3. LAION introduced BUD-E, an AI assistant focusing on real-time responses with natural voice, empathy, & emotional intelligence.

When Standalone AI Apps Meet Existing Systems of Record

Venture Reflections • 5 implied HN points • 16 Feb 24
🕹 Technology AI
  1. AI-powered applications face challenges when integrating with existing core systems of record that were not initially designed for AI
  2. Successful standalone AI apps now need to connect with existing workflows and systems like HRIS, ATS, ERP platforms, and CRMs
  3. The need for AI apps to integrate with established infrastructure offers opportunities for differentiation and defensibility in the market

Data Science Weekly - Issue 335

Data Science Weekly Newsletter • 19 implied HN points • 23 Apr 20
🕹 Technology AI
  1. Specification gaming is when AI follows rules exactly but misses the main goal. It's important to design AIs that understand the true purpose of their tasks.
  2. There's a growing need to improve how deep learning studies are reported in healthcare. This helps ensure that new AI tools are effective and trustworthy for patients.
  3. Bias in AI language models, like Google Translate, can reflect societal issues. Efforts are being made to address these biases for fairer translations.

Bill Gates' Open Letter: An Account of Excitement and Fear Surrounding AI

MAP's Tech Newsletter. • 9 implied HN points • 14 Apr 23
🕹 Technology AI
  1. Bill Gates is optimistic about the future of AI and believes in a collaborative relationship between humans and robots.
  2. AI has the potential to address climate change issues and improve productivity and health, especially in underprivileged areas.
  3. AI in education is expected to revolutionize learning by tailoring content, providing immediate feedback, and assisting teachers and students.

Briefing: AI Capabilities in SaaS

Good Better Best • 2 implied HN points • 06 Dec 24
💼 Business AI
  1. AI is now being used in many areas of businesses, not just for creating content. Companies are finding various ways to utilize AI across different teams like product, customer support, and engineering.
  2. Most companies that offer AI features are making money from them, especially in content generation and editing. Many also earn from capabilities related to data analysis and customer interactions.
  3. The payment willingness for these AI capabilities is growing. Although some features seem common and cheap, if they can significantly save time or replace human tasks, their value might increase quickly.

Data Science Weekly - Issue 333

Data Science Weekly Newsletter • 19 implied HN points • 09 Apr 20
🕹 Technology AI
  1. Data science roles often don't meet expectations due to issues like unclear job roles and lack of leadership.
  2. Monitoring machine learning models in production is complex and requires careful strategies to ensure effectiveness.
  3. Best practices in time series forecasting help improve the accuracy of predictions by utilizing advanced algorithms and example-driven approaches.

An AI Realist Manifesto: Neither Doomer nor Foomer

PashaNomics • 9 implied HN points • 10 Apr 23
🕹 Technology AI
  1. The AI discourse is dominated by two opposing camps: Doomers and Foomers.
  2. The debate about superintelligence poses risks and benefits, with a fundamental disagreement on its impact.
  3. Engaging with opposing views and seeking common ground is crucial for a more productive conversation.

Small Frame, Infinite Canvas

ART⋂CODE • 6 implied HN points • 16 Nov 23
🎨 Art & Illustration AI
  1. Upcoming solo exhibition titled Small Frame, Infinite Canvas at South Block Gallery, Glasgow from 1-23 December 2023
  2. The exhibition explores AI through glitch, mysticism, and personal memories
  3. The artwork is generated by a customized AI trained on the artist's personal archive of 25,000 photos, creating a unique visual world

LLMs are agents of chaos

Gradient Ascendant • 7 implied HN points • 28 Aug 23
🕹 Technology AI
  1. LLMs are agents of chaos and difficult to control
  2. LLMs are prompt-sensitive and output quality is hard to measure
  3. LLMs are mostly used for transformations and businesses have found ways to impose order

Meta's Code Llama 70B is Impressive

Machine Economy Press • 5 implied HN points • 30 Jan 24
🕹 Technology AI
  1. Meta's Code Llama 70B is a large and high-performing AI model for generating code.
  2. Code Llama 70B can write code in various programming languages from natural language prompts or existing code snippets.
  3. The future of code development is evolving with AI tools like GitHub Copilot and ChatGPT becoming more essential.

Data Science Weekly - Issue 329

Data Science Weekly Newsletter • 19 implied HN points • 12 Mar 20
🕹 Technology AI
  1. Google has developed a new shoe insole that uses machine learning to analyze soccer players' movements, helping them improve their game in real-time.
  2. Human-in-the-Loop Machine Learning is beneficial in many ways, such as avoiding bias, maintaining accuracy, and making processes easier and safer by involving humans in decision-making.
  3. Reinforcement learning is being explored to optimize trading strategies and financial concepts, showcasing its ability to learn and adapt in complex environments.

Our Digital Disillusionment and Hope

The Digital Anthropologist • 1 HN point • 22 Nov 23
🕹 Technology AI
  1. Society is becoming disillusioned with digital technologies, but history shows we've overcome similar challenges before.
  2. Despite current disillusionment, there is hope and potential for future solutions and improvements in technology.
  3. Technological advancements may not have met 20th-century promises yet, but progress takes time, and culture ultimately shapes how technology impacts society.

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

The Gradient • 9 implied HN points • 14 Mar 23
🕹 Technology AI
  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.

AI Risks and Reverse Reasoning

ppdispatch • 2 implied HN points • 06 Dec 24
🕹 Technology AI
  1. ReVersion is a cool new way to create images that keep specific object relationships, allowing more creative flexibility.
  2. There's a growing concern about malicious AI, and strategies are being developed to protect against potential security threats.
  3. WebAssembly is enhancing AR and VR technology by making it faster and more compatible across different devices.

Fahrenheit 98.6

Donkeyspace • 8 implied HN points • 19 May 23
🕹 Technology AI
  1. Language is highly flexible and we can navigate its complexities effortlessly.
  2. Our ways of reasoning often involve starting with conclusions and then finding explanations.
  3. AI may introduce new challenges, but our existing coping mechanisms can help us navigate through them.

Data Science Weekly - Issue 326

Data Science Weekly Newsletter • 19 implied HN points • 20 Feb 20
🕹 Technology AI
  1. AI businesses operate differently than traditional software companies and can seem more like service companies.
  2. Spotify Wrapped is a big marketing campaign that shares users' listening habits over the past year, showcasing engineering efforts to handle data.
  3. Addressing algorithmic bias in AI is becoming more important, and companies are working on ways to make AI fairer and more transparent.

The Data Exchange podcast community

Gradient Flow • 19 implied HN points • 08 Nov 19
🎙 Podcasts AI
  1. Ben Lorica is the chair of The AI Conference and the host of The Data Exchange podcast.
  2. The Gradient Flow newsletter by Ben Lorica covers topics related to AI and data.
  3. It is encouraged to sign up for the newsletter and share it with friends.

Data Science Weekly - Issue 325

Data Science Weekly Newsletter • 19 implied HN points • 13 Feb 20
🕹 Technology AI
  1. AI is being closely studied for its effects on the economy, including job creation and productivity. Experts are discussing how to ensure the benefits of AI are widely shared.
  2. Machine learning researchers are advised to choose their problems wisely and manage their time effectively. Simple guidance can help them advance in their careers.
  3. New technologies like brain implants are emerging to restore vision in blind individuals. This innovation shows the potential for technology to enhance human capabilities.

#86

The Nibble • 2 implied HN points • 24 Nov 24
🕹 Technology AI
  1. New AI tools are being released, like Codeium's WindSurf Editor, which helps developers interact with their code and automate tasks.
  2. Ethereum is planning a major upgrade called Beam Chain to improve its system and reduce older technical issues.
  3. Deno now supports importing WebAssembly, which is a big deal for developers looking to enhance their applications with new technologies.

The Scale Problem

Perspective Agents • 9 implied HN points • 24 Feb 23
🕹 Technology AI
  1. As technology scales, humans struggle to keep up with the rapid advancements, exposing the 'Scale Problem.'
  2. The rapid growth and adoption of digital technologies have shifted focus to attention as a valuable commodity, leading to power shifts and influence aggregation.
  3. The advancement of generative AI, like ChatGPT, raises questions about its impact on society and the need to shift towards a more human-centric approach to technological innovation.

Is "artificial intelligence" as a term per se racist?

Apperceptive (moved to buttondown) • 8 implied HN points • 05 May 23
🕹 Technology AI
  1. Artificial intelligence term originates from a time of great optimism and confidence in modeling human intelligence.
  2. Early AI researchers focused on abilities like linguistic fluency and chess skills, which are not central to human intelligence.
  3. Historically, the measures of intelligence used in AI development have roots in racism and socioeconomic factors.

#49: You're Taking the Unabomber's Position

On the Waterfront • 8 HN points • 02 May 23
🕹 Technology AI
  1. The AI Safety debate is not about now, but a long-term issue due to an accelerating technological progress.
  2. AI Safety advocates face the challenge of regulating rapidly advancing technology, making it a losing battle.
  3. Taking the Unabomber's position means believing in an unavoidable, exponential growth curve of technological progress.

A Deep Dive on AI Inference Startups

East Wind • 3 HN points • 10 Jul 24
🕹 Technology AI
  1. AI inference startups help companies use AI without needing a strong technical team. They make it easier to access and manage AI models through simple APIs.
  2. The competition in the AI inference space is tough, with many companies offering similar prices and performance. This makes it challenging for any single startup to stand out.
  3. Investors need to believe that the market for AI inference will grow significantly, and these startups will need to expand their product offerings or be attractive acquisition targets for larger companies.

Why You Should Join: Inside Edition

Why You Should Join • 5 implied HN points • 01 Jan 24
💼 Business AI
  1. The newsletter highlights early-stage startups worth considering for new roles.
  2. Investors shared perspectives on promising startups like Chkk, Footprint, Ollama, Cursor, and Orby AI.
  3. These startups offer innovative solutions in areas like Kubernetes infrastructure, fraud prevention, local model usage, AI-powered code editing, and workflow automation.

Data Science Weekly - Issue 320

Data Science Weekly Newsletter • 19 implied HN points • 09 Jan 20
🕹 Technology AI
  1. Creating effective data projects involves more than just building a model; you also need to consider context, strategy, and maintenance.
  2. AI can speed up material discovery by analyzing large datasets and predicting useful combinations, which could change many industries.
  3. Data lakes allow for more flexible data storage than data warehouses, but this flexibility comes with important tradeoffs to think about.

Occasional Exponential AI Grab Bag

Gradient Ascendant • 9 implied HN points • 13 Feb 23
🕹 Technology AI
  1. AI advancements are moving at an incredibly fast pace, with new developments happening almost every week.
  2. The current AI growth resembles a Cambrian explosion, but remember that exponential growth eventually slows down.
  3. Language models are now able to self-teach and use external tools, showcasing impressive advancements in AI capabilities.

#85

The Nibble • 2 implied HN points • 13 Nov 24
🕹 Technology AI
  1. OpenAI bought the chat.com domain for a lot of money and redirected it to chatgpt.com. This shows that even the best tech companies have challenges with domain setup.
  2. Okta had a security issue where long usernames could bypass some authentication checks. Caching problems are tricky and can have serious consequences.
  3. Google Maps improved navigation in India by focusing on landmarks instead of street names. This change makes it easier for users in India to get directions.