The hottest Artificial Intelligence Substack posts right now

And their main takeaways
Category
Top Technology Topics

Sam Altman Wants $7 Trillion

Astral Codex Ten • 16656 implied HN points • 13 Feb 24
🕹 Technology AI Machine Learning Artificial Intelligence Big Data Computing
  1. Sam Altman aims for $7 trillion for AI development, highlighting the drastic increase in costs and resources needed for each new generation of AI models.
  2. The cost of AI models like GPT-6 could potentially be a hindrance to their creation, but the promise of significant innovation and industry revolution may justify the investments.
  3. The approach to funding and scaling AI development can impact the pace of progress and the safety considerations surrounding the advancement of artificial intelligence.

Deep Fear!

Aether Pirates of the Matterium! • 18455 implied HN points • 04 Feb 24
🕹 Technology Military Artificial Intelligence Energy Society Innovation
  1. Military analysts are afraid of the future and the rapid advancement of technology.
  2. Tech-minded individuals are seen as a threat by the military due to their knowledge and innovative capabilities.
  3. The release of Zero Point Technology to the public, especially techies, is a major concern for the military as it would shift power dynamics significantly.

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.

Empty Laughter

Where's Your Ed At • 16914 implied HN points • 16 Jan 24
🎭️ Culture Comedy Artificial Intelligence Plagiarism Entertainment Creativity
  1. Art should be unique and come from personal experiences, not generated by AI or copied from others.
  2. Creativity is limited by the individual, and the magic of art comes from the context and experiences of the artist.
  3. Plagiarism and reliance on generative AI for art creation show a lack of curiosity, entitlement, and a desire to imitate rather than create.

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.
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Cyc: history's forgotten AI project

Outsider Art • 220 HN points • 17 Apr 24
🕹 Technology Artificial Intelligence Research History
  1. The Cyc project has been working on building a massive knowledge base since 1984 for human-like reasoning, spanning millions of entries and rules.
  2. Cyc's approach of using common-sense knowledge and a vast database contrasts with the trend of machine-learning-driven AI solutions dominating the field today.
  3. Despite being overshadowed by newer AI technologies, there is potential for Cyc to complement modern systems like large language models, showcasing a possible synergy between different AI approaches.

No, RAG is probably not going to rescue the current situation

Marcus on AI • 3392 implied HN points • 23 Feb 24
🕹 Technology Artificial Intelligence Machine Learning Tech industry AI Ethics Research
  1. In Silicon Valley, accountability for promises is often lacking, especially with over $100 billion invested in areas like the driverless car industry with little to show for it.
  2. Retrieval Augmentation Generation (RAG) is a new hope for enhancing Large Language Models (LLMs), but it's still in its early stages and not a guaranteed solution yet.
  3. RAG may help reduce errors in LLMs, but achieving reliable artificial intelligence output is a complex challenge that won't be easily solved with quick fixes or current technology.

Toward the eradication of medical diagnostic errors

Ground Truths • 6255 implied HN points • 28 Jan 24
🏥 Health & Wellness Artificial Intelligence
  1. Diagnostic errors in medicine are a serious problem, leading to harm or disability for many patients.
  2. Artificial intelligence (AI) shows promise in improving diagnostic accuracy by supporting clinicians and reducing workload.
  3. Using advanced AI models like GPT-4 can enhance diagnostic accuracy and provide valuable second opinions in medical practice.

You Are Not The Man In The Arena

Where's Your Ed At • 24184 implied HN points • 30 Aug 23
🕹 Technology Startup Culture Tech industry Venture Capital Cryptocurrency Artificial Intelligence
  1. The man in the arena speech by Theodore Roosevelt emphasizes the importance of taking action over criticism.
  2. Chamath Palihapitiya symbolizes a detrimental mindset in Silicon Valley of valuing image over actual value creation.
  3. The tech industry's obsession with funding specific kinds of founders and companies has created a harmful monoculture that prioritizes profit over societal impact.

"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.

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.

Captain's log: the irreducible weirdness of prompting AIs

One Useful Thing • 902 implied HN points • 04 Mar 24
🕹 Technology AI Prompts Machine Learning Artificial Intelligence Innovation
  1. Stop trying to use incantations: There is no single magic word that works all the time with AIs. Promising rewards or being polite may help occasionally, but not always.
  2. There are prompting techniques that work consistently: Techniques like adding context to prompts, providing a few examples, and using Chain of Thought can help in crafting better prompts for AIs.
  3. Prompting matters significantly: The way you prompt AIs can have a huge impact on the outcomes. Good prompts can turn a difficult task into an easy one for AI.

Quick Essay: A Short History of OpenAI

Chamath Palihapitiya • 5758 implied HN points • 20 Nov 23
🕹 Technology Artificial Intelligence History
  1. OpenAI transitioned from a non-profit to a 'capped-profit' model in 2019, allowing for capital raises while serving its mission
  2. OpenAI made significant advancements in AI research, developing projects like 'OpenAI Five' and models like ChatGPT and GPT-3
  3. Conflict within OpenAI's leadership led to the removal of co-founder Sam Altman as CEO due to concerns over commercialization conflicting with the company's primary goal of developing AGI safely

Brief: Pentagon's new AI chief is former Google Trust & Safety exec who previously helped guide U.S. special operations

All-Source Intelligence Fusion • 561 implied HN points • 14 Mar 24
🕹 Technology AI Digital Artificial Intelligence Machine Learning Social media
  1. Radha Iyengar Plumb, a former Google Trust & Safety exec, will become the Pentagon's new Chief Digital and AI Officer in April, replacing Craig Martell.
  2. Iyengar Plumb has had a diverse career, transitioning from a professor to roles at RAND, the National Security Council, Google, Facebook, and now the Pentagon.
  3. Executives like Iyengar Plumb moving between tech companies like Google and roles in the defense and intelligence community highlights the intersecting realms of technology and national security.

Sora What

thezvi • 1071 implied HN points • 22 Feb 24
🕹 Technology AI Video Generation Machine Learning Artificial Intelligence Media
  1. OpenAI's new video generation model Sora is technically impressive, achieved through massive compute and attention to detail.
  2. The practical applications of Sora for creating watchable content seem limited for now, especially in terms of generating specific results as opposed to general outputs.
  3. The future of AI-generated video content may revolutionize industries like advertising and media, but the gap between generating open-ended content and specific results is a significant challenge to overcome.

🌎⏩ How fast can the global economy grow?

Faster, Please! • 822 implied HN points • 02 Mar 24
💼 Business Economic Growth Artificial Intelligence Global Economy Science fiction
  1. The concept of the Singularity involves rapid technological advancements leading to an unimaginable surge in economic growth.
  2. The idea of exponential economic growth can be challenging to comprehend, similar to how residents of a two-dimensional world might struggle to imagine a three-dimensional object.
  3. Exploring historical precedents can offer insights into more feasible scenarios for economic growth.

LLMs shouldn’t write SQL

benn.substack • 1016 implied HN points • 23 Feb 24
🕹 Technology Data Analysis Artificial Intelligence Business Intelligence
  1. In business analysis, there are two main approaches: a structured method using known metrics and BI tools and a more creative, less structured method that involves asking unique questions and using tools like Excel, SQL, and Python.
  2. The prediction that natural language will replace SQL in data management interfaces is interesting, but the role of SQL might evolve rather than disappear completely, still being crucial for generating queries efficiently.
  3. Artificial intelligence can assist in tasks like drawing or writing formulas, but the precision and efficiency of code often make it a better choice for data analysis, despite the potential for AI advancements in building complex queries.

Capturing the Moment

Cybernetic Forests • 119 implied HN points • 07 Apr 24
🎨 Art & Illustration Visual art Digital Art Photography Artificial Intelligence
  1. AI-generated images can lack emotional impact compared to human-created art, often resulting in an uncanny feeling rather than emotional connection.
  2. The history of art showcases a complex interplay between photography and painting, with AI-generated images adding another layer of complexity to this relationship.
  3. AI images challenge traditional notions of art by blurring the lines between painting and photography, presenting a new form of artistic expression.

The robotics company working with OpenAI to eat every warehouse worker's lunch

All-Source Intelligence Fusion • 642 implied HN points • 05 Mar 24
🕹 Technology Robotics Artificial Intelligence Automation Investment Competition
  1. Brett Adcock's humanoid robot company aims to replace human workers in warehouses with subscription-based robots that can work 20 hours a day, 7 days a week.
  2. Figure AI collaborates with OpenAI to combine robotics and AI, aiming to create 'embodied AI' by leveraging OpenAI's strengths in language models and Figure's expertise in robotics.
  3. Adcock positions Figure AI to compete with Elon Musk's humanoid robotics effort 'Optimus' and dismisses other competitors due to limitations in hardware or software capabilities.

An Ocean of Data

Justin E. H. Smith's Hinternet • 466 implied HN points • 12 Mar 24
🕹 Technology Data Artificial Intelligence Writing Publishing Digital Transformation
  1. Data produced in just one minute in 2023 was 169,371 times more than produced in the entire 18th century.
  2. The analogy of
  3. pissing into the ocean
  4. implies the massive amount of data being generated daily being like a drop in the vast ocean.
  5. The role of a writer has evolved significantly from the 18th century, with the digital era signaling the end of traditional writing as we knew it.

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.

The Can-versus-Should Question

Risk Musings • 343 implied HN points • 17 Mar 24
🕹 Technology Artificial Intelligence Jobs Internet regulation Data Privacy
  1. It's important to consider the balance between what we can do and what we should do with technology and advancements in society.
  2. Lessons from past experiences, like the unregulated internet explosion, emphasize the importance of having cautious conversations about the benefits and risks of technological progress.
  3. Discussing the 'can versus should' dilemma is crucial when considering the replacement of human labor with AI and robotics, and having a strong risk culture helps navigate these trade-offs effectively.

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

Marcus on AI • 4772 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.

AMD MI300 Ramp, GPT-4 Performance, ASP & Volumes

SemiAnalysis • 4141 implied HN points • 01 Nov 23
🕹 Technology Hardware Software Market Analysis Artificial Intelligence Data Centers
  1. AMD's MI300 is positioned as a strong competitor in LLM inference against Nvidia and Google hardware.
  2. Major companies like Microsoft, Meta, Oracle, Google, and Amazon have already placed orders for AMD MI300.
  3. AMD's Datacenter GPU revenue is expected to reach over $2 billion in 2024 with strong demand from customers and supply constraints.

Protocols as Weberian Bureaucracy

Subconscious • 1342 implied HN points • 22 Jan 24
🕹 Technology Innovation Artificial Intelligence
  1. In small groups, people are self-organizing, but beyond 150, cooperation needs more than instincts.
  2. Power in organizations can be organized as charismatic authority, traditional authority, and rational-legal authority.
  3. Bureaucracy may seem slow and impersonal, but it scales power distribution through rules, which can approximate fairness.

🤖👷‍♂️ Beyond disruption: AI, expertise, and the future of middle-class workers

Faster, Please! • 822 implied HN points • 14 Feb 24
🕹 Technology AI Jobs Artificial Intelligence Automation
  1. Tech progress involves creative destruction - some jobs are lost, but new ones are created, especially in AI-related fields.
  2. Advances in artificial intelligence are reshaping the workforce as companies invest in AI systems and technologies.
  3. The impact of AI on the job market is a big question for the future - will it lead to widespread technological unemployment or follow historical patterns of job creation and loss?

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.

Google's Gemini Advanced: Tasting Notes and Implications

One Useful Thing • 861 implied HN points • 08 Feb 24
🕹 Technology AI Artificial Intelligence Models Future
  1. Gemini Advanced is a GPT-4 class model, offering strengths and weaknesses compared to other advanced AI models.
  2. Gemini Advanced reveals the potential for emergent properties in large AI models, showing hints of 'ghosts' or unique intelligence.
  3. Google's Gemini Advanced hints at a future where AI serves as powerful integrated personal assistants, differentiating itself from other AI models.