The hottest Artificial Intelligence Substack posts right now

And their main takeaways
Category
Top Technology Topics

AI Eats Equity Research

Net Interest • 13 implied HN points • 07 Feb 25
💼 Business Equity Research Artificial Intelligence Financial Analysis Investment Trends Technology impact
  1. AI tools like OpenAI's Deep Research can now quickly gather and analyze financial information, making research much faster than before. This is changing how equity analysts do their jobs.
  2. Instead of relying on research assistants, analysts can use AI to find critical insights in real-time during meetings. This allows them to ask smarter questions based on the latest data.
  3. As AI technology improves, it could take over more of the research tasks that analysts do. This raises questions about the future roles of these analysts in the finance industry.

Transformer^2: Self-adaptive LLMs

Gonzo ML • 63 implied HN points • 27 Jan 25
🕹 Technology Artificial Intelligence Machine Learning Data science Computing Software Development
  1. Transformer^2 uses a new method for adapting language models that makes it simpler and more efficient than fine-tuning. Instead of retraining the whole model, it adjusts specific parts, which saves time and resources.
  2. The approach breaks down weight matrices through a process called Singular Value Decomposition (SVD), allowing the model to identify and enhance its existing strengths for various tasks.
  3. At test time, Transformer^2 can adapt to new tasks in two passes, first assessing the situation and then applying the best adjustments. This method shows improvements over existing techniques like LoRA in both performance and parameter efficiency.

What Did You Think Getting Closer to AGI Would Be Like?

The Algorithmic Bridge • 318 implied HN points • 07 Dec 24
🕹 Technology Artificial Intelligence Machine Learning Software Development Computing Data science
  1. OpenAI's new model, o1, is not AGI; it's just another step in AI development that might not lead us closer to true general intelligence.
  2. AGI should have consistent intelligence across tasks, unlike current AI, which can sometimes perform poorly on simple tasks and excel on complex ones.
  3. As we approach AGI, we might feel smaller or less significant, reflecting how humans will react to advanced AI like o1, even if it isn’t AGI itself.

The social justice case for self-driving cars

Odds and Ends of History • 871 implied HN points • 07 Jan 25
🕹 Technology Autonomous Vehicles Mobility Artificial Intelligence Social justice Transportation
  1. Self-driving cars are becoming more common and are already in use in places like San Francisco. Companies are offering autonomous taxi services that anyone can access through an app.
  2. The idea of abundant mobility means that, in the future, traveling will be much cheaper and easier for everyone. This could make life better for many people, especially those with lower incomes, by improving access to jobs, services, and social connections.
  3. While there are challenges and concerns with self-driving cars, like job losses and privacy issues, the overall benefits could lead to a more equal and accessible society, similar to how technology has improved living standards over time.
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#97 — OAI will have the best coder by year end, Society-as-a-service and DOM's native state preserving move API and more

The Nibble • 7 implied HN points • 13 Feb 25
🕹 Technology Artificial Intelligence Software Development Quantum Computing Programming Mobile Apps
  1. OpenAI is working hard to develop a coding model that's expected to be the best by year end, potentially transforming how coding tasks are approached.
  2. There is a new trend emerging called 'Society-as-a-service,' which could change how communities are built and managed.
  3. A new feature in web development allows elements to be moved in a document without losing their state, making user interactions smoother.

What’s the impact of artificial intelligence on energy demand?

Sustainability by numbers • 402 implied HN points • 18 Nov 24
🌞 Climate & Environment Artificial Intelligence Sustainability Efficiency
  1. AI and data centers currently use only a small portion of the world's electricity, about 1 to 2%. Even with the rise in AI, experts expect this demand to grow slowly in the coming years.
  2. People often worry about energy demands from AI, similar to past fears about data centers. However, improvements in technology and efficiency have kept actual energy use in check.
  3. The future energy demand of AI is uncertain, and while it will likely increase, it may not be as drastic as some predict. Continued efficiency improvements will be key to managing this growth.

AI Roundup 102: The Stargate Project

Artificial Ignorance • 71 implied HN points • 24 Jan 25
🕹 Technology Artificial Intelligence Data Centers Geopolitics Corporate strategy Research & Development
  1. The Stargate Project is a huge partnership by OpenAI, SoftBank, and Oracle to build new AI data centers in the U.S., promising up to $500 billion investment. This is much larger than past projects like the Manhattan and Apollo projects.
  2. China is making fast progress in AI, with new models from companies like DeepSeek that can compete with major Western models. This raises concerns for leading U.S. labs about staying ahead in AI technology.
  3. There are new challenges in measuring AI performance since current benchmarks are not effective anymore. A new test called 'Humanity's Last Exam' highlights this issue as AI systems advance beyond human-level capabilities.

Onward and Upward Past 5,000 As Communist China Swoons and AI Destroys More Jobs

Peter Navarro's Taking Back Trump's America • 1768 implied HN points • 09 Feb 24
💰 Finance Stock Market Geopolitics Inflation Investing Artificial Intelligence
  1. The stock market has shown a technical rally with S&P 500 surpassing 5000, driven by trend traders focusing more on technical aspects than fundamentals.
  2. Artificial intelligence is significantly impacting the job market, with companies using AI for tasks like layoff decisions, with some notable companies like United Parcel Service and BlackRock making significant staff reductions.
  3. China's economy is being compared to past scenarios like Japan's real estate market crash, highlighting concerns about potential global repercussions.

Thinking Time

New World Same Humans • 42 implied HN points • 26 Jan 25
🕹 Technology Artificial Intelligence Machine Learning Emerging Tech Digital Trends Innovation
  1. Giving AI more time to think can greatly improve its performance, just like it helps humans think better. This 'thinking time' could be key in advancing artificial intelligence.
  2. Being busy doesn't always mean you're being productive; it's important to take breaks and allow space for creative thinking. Sometimes the best ideas come when you're not actively working.
  3. To truly innovate, focus on depth and originality instead of just producing a lot of work. It's about finding valuable insights that add to the conversation, rather than just adding to the noise.

Artificial Intelligence... is really just "Someone Else's Intelligence"

The Lunduke Journal of Technology • 10340 implied HN points • 05 May 23
🕹 Technology Artificial Intelligence Internet Software Data Ethics
  1. When we talk about 'The Cloud', we're really just talking about internet-connected computers.
  2. Artificial Intelligence, like ChatGPT and GitHub Copilot, is essentially copying and repackaging data created by humans.
  3. As AI systems evolve, there's a risk that original human work will be devalued and intelligence may decrease.

TGIF: I Serve at the Pleasure of Barbecue

Common Sense with Bari Weiss • 3315 implied HN points • 15 Mar 24
🇺🇸 U.S. Politics Immigration Foreign Policy Media Artificial Intelligence
  1. Biden faced backlash for using the term 'illegal' but then claimed he didn't apologize: highlights the Biden administration's border philosophy and communication blunders.
  2. The Biden administration is releasing an additional $10 billion to Iran: shows the conflicting approaches within the administration's foreign policy.
  3. Elon Musk cancelled his partnership with Don Lemon on X/Twitter: illustrates that rich individuals like Musk don't take criticism well and can quickly change their minds.

Twitter is dead and Threads is thriving

Platformer • 3262 implied HN points • 27 Oct 23
🕹 Technology Social media Tech industry Digital Content Artificial Intelligence Software Development
  1. Twitter underwent significant changes after Elon Musk's takeover, leading to a decline in daily users and financial setbacks.
  2. Musk's plan to pivot Twitter towards paid subscriptions failed, with less than 1% of users signing up for the premium service.
  3. Former Twitter employees have accepted the company's demise, with concerns about the future of the platform integrity at X.

OpenAI: Economic Justice Delayed

Dana Blankenhorn: Facing the Future • 39 implied HN points • 03 Oct 24
🕹 Technology Artificial Intelligence Investment Startups Innovation Economics
  1. OpenAI recently received a large investment to avoid bankruptcy, but experts think financial troubles may still be on the way. There's skepticism about how sustainable their business model is.
  2. The promises of AI, like improving productivity and creativity, often don't match up with what users actually experience. Many believe AI tools still have major limitations.
  3. The funding from investors seems more focused on finding a quick profit than on genuinely improving AI technology. There's a worry that this could lead to a crash if expectations aren't met.

"Here's the sad state of the cloud"

Cloud Irregular • 3696 implied HN points • 22 Jan 24
🕹 Technology Cloud Computing Artificial Intelligence Tech industry Tech Culture Data Privacy
  1. The cloud landscape is shifting from big hyperscalers to more specialized services like standalone databases and DIY cloud-in-a-box.
  2. Using tools like Nightshade to protect art from being exploited by AI may not be the best strategy, focusing on creating original, high-quality art is key.
  3. Google, despite criticism, remains a significant player in the tech industry, seen as a symbol of intellectual prowess and innovation.

Finding fake followers (Bluesky edition)

Conspirador Norteño • 68 implied HN points • 18 Jan 25
🕹 Technology Social media Internet Data Analysis Spam Detection Artificial Intelligence
  1. You can spot fake followers on Bluesky by looking for accounts with similar join dates and generic profiles. These accounts often have no posts and repetitive bios.
  2. Using a method where you track the followers of suspected fake accounts can help identify whole networks of fake followers. By downloading and filtering their followers, you can map out these networks.
  3. The Bluesky platform has a real-time feature called the firehose that makes it easier to catch fake follower activity as it happens. However, this can give some false positives, so users need to be careful.

The Extinction Tournament

Astral Codex Ten • 9153 implied HN points • 20 Jul 23
🔬 Science Artificial Intelligence Forecasting Existential Risk Technology
  1. Experts and superforecasters had a strong disagreement on the likelihood of global catastrophes.
  2. The tournament explored global disaster risks, with 'Catastrophe' meaning an event killing over 10% of the population, and 'Extinction' meaning reducing human population below 5,000.
  3. The tournament highlighted the challenges in aligning expert predictions, potential biases in forecasts, and the complexities of forecasting AI-related risks.

Mantic Monday 3/11/24

Astral Codex Ten • 4336 implied HN points • 12 Mar 24
🕹 Technology Artificial Intelligence Cryptocurrency Prediction Markets AI Ethics
  1. Academic teams are working on fine-tuning AIs for better predictions, competing with the wisdom of crowds.
  2. The use of multiple AI models and aggregating predictions may be as effective as human crowdsourced predictions.
  3. Superforecasters' perspectives on AI risks differ based on the pace of AI advancement, showcasing varied opinions within expert communities.

The Middle Path for AI

Future History • 260 implied HN points • 19 Nov 24
🕹 Technology Artificial Intelligence Robotics Health tech Economics Data Privacy
  1. AI is already affecting our lives in many ways, like helping with healthcare and driving. It's important to realize that while it can do good things, it can also have negative outcomes.
  2. Instead of seeing the future as only good or bad, we should focus on a balanced view. Many things in life are grey, and understanding the middle ground helps us prepare better for what AI can and will do.
  3. Governments using AI for control and surveillance can be dangerous. While AI can help detect problems like health issues quickly, it can also invade privacy and create a society where people are constantly monitored.

Preregistration Is No Panacea

Cremieux Recueil • 283 implied HN points • 22 Nov 24
🔬 Science Research Methods Psychology Artificial Intelligence Educational Research
  1. Preregistration in research is not a guaranteed way to ensure the accuracy of results. Even when studies are preregistered, they can still produce results that don't hold up upon replication.
  2. Simply preregistering a study isn’t enough. There needs to be strict detail and oversight in how research is conducted to prevent 'p-hacking' or manipulating data for desired results.
  3. Focusing on predictive research rather than just explanatory studies can help ensure that research is more relevant and impactful. When studies predict future outcomes, they are more likely to contribute meaningfully to our understanding.

“Math is hard” — if you are an LLM – and why that matters

Marcus on AI • 4782 implied HN points • 19 Oct 23
🔬 Science Mathematics Artificial Intelligence Machine Learning
  1. Even with massive data training, AI models struggle to truly understand multiplication.
  2. LLMs perform better in arithmetic tasks than smaller models like GPT but still fall short compared to a simple pocket calculator.
  3. LLM-based systems generalize based on similarity and do not develop a complete, abstract, reliable understanding of multiplication.

Awarding the amazing autosegmentation work from 2024

Vesuvius Challenge • 21 implied HN points • 24 Jan 25
🕹 Technology Software Innovation Artificial Intelligence Research Data science
  1. Two teams were awarded for their amazing work on automating scroll segmentation. They worked really hard, using only a few hours of human help to get impressive results.
  2. The new methods focus on breaking down the task into smaller parts, like surface prediction and fitting, making it easier and faster to recover lost texts from ancient scrolls.
  3. Even though there are still challenges, the community is excited about the progress and future plans, like getting better at detecting ink on more scrolls.

Do You Need A.I.?

Political Currents by Ross Barkan • 29 implied HN points • 05 Feb 25
🕹 Technology Artificial Intelligence Innovation Digital Media Ethics Writing
  1. Many people want AI for its potential benefits, but it's not clear if we really need it. Some believe it's being pushed too hard by those who stand to profit.
  2. AI has the potential to help in areas like medicine, but there's skepticism about its overall impact on creativity and art. It's hard to see what new art or literature AI has created that we couldn't do ourselves.
  3. Technology like typewriters or the internet filled real needs, while AI seems more like something we want rather than need. Its successes are still uncertain, leading to concerns about its role in society.

The Case for Big Action to Regulate Artificial Intelligence

chamathreads • 2653 implied HN points • 09 May 23
🕹 Technology Regulation Artificial Intelligence Innovation Internet Tech industry
  1. Regulation of artificial intelligence is essential to manage risks and protect society from potential harms.
  2. Regulating AI can set global standards and prevent censorship on the internet.
  3. Past successful regulatory models, like those in the pharmaceutical industry, demonstrate the importance and effectiveness of oversight.

Amazon Anthropic: Poison Pill or Empire Strikes Back

SemiAnalysis • 6667 implied HN points • 02 Oct 23
🕹 Technology AI Cloud Computing Machine Learning Artificial Intelligence
  1. Amazon and Anthropic signed a significant deal, with Amazon investing in Anthropic, which could impact the future of AI infrastructure.
  2. Amazon has faced challenges in generative AI due to lack of direct access to data and issues with internal model development.
  3. The collaboration between Anthropic and Amazon could accelerate Anthropic's ability to build foundation models but also poses risks and challenges.

Data Science Weekly - Issue 530

Data Science Weekly Newsletter • 1418 implied HN points • 19 Jan 24
🕹 Technology Data science Machine Learning Artificial Intelligence Data Visualization Software Development
  1. Good data visualization is important. Some types of graphs can be misleading, and it's better to avoid them.
  2. In healthcare, it's not just about having advanced technology like AI. The real focus should be on getting effective results from these technologies.
  3. Netflix released a lot of data about what people watched in 2023. Analyzing this can help us understand trends in streaming better.

What Really Killed Stack Overflow? (Spoiler: Not AI)

ppdispatch • 5 implied HN points • 03 Jun 25
🕹 Technology Software Development Artificial Intelligence Digital Tools Community Dynamics Programming Languages
  1. The decline of Stack Overflow wasn't caused by AI but rather by a loss of community spirit and strict moderation rules. Many users felt unwelcome due to the site's increased focus on quality control.
  2. A new algorithm has greatly improved how we find the shortest paths on graphs, making it more efficient at solving these problems without needing to sort all the data.
  3. Java, despite being seen as old-fashioned and less exciting, remains crucial in software development, proving its reliability and versatility over the past 30 years.

A Compendium on Synthetic Data Projects

Encyclopedia Autonomica • 19 implied HN points • 06 Oct 24
🕹 Technology Data science Artificial Intelligence Software Development Machine Learning Open Source
  1. Synthetic data is crucial for AI development. It helps create large amounts of high-quality data without privacy concerns or high costs.
  2. There are various projects focused on generating synthetic data. Tools like AgentInstruct and DataDreamer aim to create diverse datasets for training language models.
  3. Learning methods for synthetic data include using personas to create unique datasets and improving mathematical reasoning skills through specially designed datasets.

Turing's Yearning, Part 1

Technohumanism • 99 implied HN points • 01 Aug 24
🕹 Technology Artificial Intelligence Computing History Philosophy Human-Machine Interaction
  1. Alan Turing's foundational paper on artificial intelligence is often overlooked in favor of its famous concepts like the Turing Test. It's filled with strange ideas and a deep human yearning for understanding machines.
  2. The idea behind the Turing Test, where a computer tricks someone into thinking it's human, raises questions about what intelligence really is. Is being able to imitate intelligence the same as actually being intelligent?
  3. Turing's paper includes surprising claims and combines brilliant insights with odd assertions. It reflects his complicated thoughts on machines and intelligence, showing a deeper human story that resonates today.

Reflections on Health and AI

The Engineering Leader • 79 implied HN points • 01 Sep 24
🏥 Health & Wellness Personal Health Mental health Physical health Nutrition Fitness Artificial Intelligence
  1. Health is super important, and we often forget to take care of ourselves when busy. Neglecting health can lead to serious issues, so it’s vital to prioritize it.
  2. Ignoring your well-being creates 'health debt' that can affect your energy, focus, and overall life quality. Just like financial debt, the more you neglect it, the worse it gets.
  3. Taking care of yourself isn't selfish; it's necessary. When you're healthy, you can help others better and handle life’s challenges more effectively.

CES 2024 – Consuming an Ersatz Singularity

SINGULARITY WEEKLY • 1081 implied HN points • 17 Jan 24
🕹 Technology Gadgets Artificial Intelligence Virtual reality Wearables
  1. CES 2024 showcased a variety of futuristic gadgets and technologies like social robots and brain interfaces.
  2. People are embracing a digital future with wearables, brain scanners, and virtual reality gadgets.
  3. The event raises concerns about tech dependency and the potential loss of humanity in a rapidly advancing technological world.

Import AI 368: 500% faster local LLMs; 38X more efficient red teaming; AI21's Frankenmodel

Import AI • 559 implied HN points • 08 Apr 24
🕹 Technology AI Research AI Models AI Policy Robotics Artificial Intelligence
  1. Efficiency improvements can be achieved in AI systems by varying the frequency at which GPUs operate, especially for tasks with different input and output lengths.
  2. Governments like Canada are investing significantly in AI infrastructure and safety measures, reflecting the growing importance of AI in economic growth and policymaking.
  3. Advancements in AI technologies are making it easier for individuals to run large language models locally on their own machines, leading to a more decentralized access to AI capabilities.

Small newsletters, big ideas

Artificial Ignorance • 121 implied HN points • 16 Dec 24
🕹 Technology Artificial Intelligence Machine Learning Data science Tech Culture Tech Ethics
  1. There are many small newsletters focusing on AI that offer unique perspectives and insights. They cover topics that go beyond just technical details.
  2. The newsletters featured are all written by humans and aim to provide long-form articles, making them a great choice for those who want to dive deep into AI discussions.
  3. This is a good way to discover hidden gems in the world of AI content, especially from creators with less than 1,000 subscribers.