The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Humans, LLMs, and the symbol grounding problem (pt. 2)

The Counterfactual • 59 implied HN points • 07 Dec 22
🕹 Technology AI
  1. Understanding language might not need physical experiences. This means that Large Language Models could potentially understand language differently than humans do.
  2. People can grasp abstract concepts and visual information even without direct experiences, like those who are blind or those with aphantasia. This challenges the idea that you must physically experience something to understand it.
  3. Using language itself can be a way to learn about the world. Language helps us form ideas and understand concepts, even if we haven't experienced everything firsthand.

Machine Yearning

Some Unpleasant Arithmetic • 13 implied HN points • 23 Jun 25
🕹 Technology AI
  1. AI is changing jobs and skills needed in the workforce. Some jobs may disappear, while new roles can emerge that require different skills.
  2. The impact of AI on gender roles in the workplace is complicated. While women can benefit from AI in some sectors, they may also face challenges like algorithmic bias and lower usage rates of AI tools.
  3. Economic changes due to AI may lead to increased inequality, affecting both labor and capital distribution. This can ultimately reshape power dynamics in society and impact democracy.

The Race to 2nm: RISC-V Chips in Japan

More Than Moore • 87 HN points • 27 Feb 24
🕹 Technology AI
  1. Rapidus, a new semiconductor company in Japan, aims to bring 2nm manufacturing capacity online by 2027 with backing from major Japanese companies and government subsidies.
  2. The Leading-Edge Semiconductor Technology Center (LSTC) in Japan, a collaboration between the US and Japan, will focus on advanced research and building vital silicon for both economies.
  3. Tenstorrent's collaboration with LSTC involves providing advanced high-performance RISC-V cores and chiplets, indicating a push towards AI acceleration and cutting-edge technology development.

CSV to PDF: Prompting GPT-4 For Automatic Data Viz Report Creation

Data at Depth • 19 implied HN points • 20 Nov 23
🕹 Technology AI
  1. GPT-4 can now create PDF reports with charts and maps from data you provide, offering a quick and efficient way to visualize data.
  2. The interface of GPT-4 has recently been updated, showcasing new capabilities like generating PDF files on the fly.
  3. Consider subscribing to Data at Depth for more insights and a 7-day free trial to explore the full post archives.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Using Microsoft Purview for Data Classification and Labeling to Secure Generative AI

Rod’s Blog • 19 implied HN points • 20 Nov 23
🕹 Technology AI
  1. Data classification and labeling can enhance data quality by ensuring authenticity, reliability, and relevance, and help remove unnecessary or erroneous data for Generative AI systems.
  2. Data classification and labeling can safeguard data privacy and confidentiality, prevent unauthorized access, and aid in compliance with data protection regulations like GDPR and CCPA.
  3. Using Microsoft Purview for data classification and labeling can efficiently manage data access, apply sensitivity labels, and provide insights to improve data security and reliability for Generative AI.

RLHF is the Problem and the Solution

From the New World • 86 implied HN points • 28 Feb 24
🕹 Technology AI
  1. The goal of AI Pluralism is to ensure that machine models are not manipulated by third parties to conform to specific ideologies.
  2. Machine learning typically involves two stages: developing the model's capabilities and fine-tuning, which can influence the model's ideology and style.
  3. Requiring the release of both stages of the model can help curb extremist influence, but it may not completely eliminate ideological contamination in AI development.

Gloves off, knives out

davidj.substack • 11 implied HN points • 23 Jul 25
🕹 Technology AI
  1. Anthropic stopped Windsurf from using their Claude models, which upset many users. This means people need to find other tools for their AI coding tasks.
  2. After a failed acquisition attempt by OpenAI, Windsurf ended up being bought by Cognition. This change could lead to better tools for software engineering using AI.
  3. Windsurf can now use all Anthropic models again under Cognition, bringing them back to where they started, but many changes have occurred since.

LangChain & LLM Based Autonomous Agents

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 26 Apr 23
🕹 Technology AI
  1. Large Language Models (LLMs) can be programmed with reusable prompts. This helps in integrating them into bigger applications easily.
  2. Creating chains of interactions allows LLMs to work together in a structured way for more complex tasks.
  3. Agents can operate independently, using tools to find answers without being stuck to a fixed plan, making them more flexible.

The fight for global AI supremacy, and Steve Bannon versus the Tech Right

Alex's Personal Blog • 32 implied HN points • 13 Jan 25
🕹 Technology AI
  1. The U.S. government has new rules for exporting AI chips, with different restrictions for various countries. This change has caused a lot of backlash from tech companies, who fear it may hurt America's competitive edge.
  2. OpenAI released a new plan to help the U.S. stay ahead in AI technology, focusing on better communication between the government and AI businesses. They want to ensure that innovation continues without compromising safety.
  3. There is a growing conflict between different factions within the Republican Party regarding tech policies. Steve Bannon is openly opposed to Elon Musk's influence, hinting at some power struggles in the upcoming administration.

The Transformer Playbook (with Metronome CEO Scott Woody)

Good Better Best • 2 implied HN points • 12 Dec 25
💼 Business AI
  1. The shift from seat-based pricing to usage-based pricing is crucial for companies adopting AI. Charging based on usage aligns the price with the value delivered to customers.
  2. Legacy SaaS companies can benefit from existing distribution when launching AI features. By leveraging their customer base, they can quickly grow and adapt to new market demands.
  3. Successful transitions to new pricing models often start with experimentation. Companies can first launch AI features as add-ons before fully integrating them into their offerings.

AI Will Cement Fukuyama’s Legacy

From the New World • 134 implied HN points • 26 Jul 23
🕹 Technology AI
  1. The allegory in the post highlights the importance of accepting dissenting opinions for societal growth and decision-making
  2. Machine learning techniques that introduce randomness can lead to more freedom and subversion within regimes
  3. Taboos and conformity can be tools used by the illegitimate against the legitimate, but confronting these can inspire hope for Western dissidents

AI Roundup 099: Apocalypse Not

Artificial Ignorance • 33 implied HN points • 03 Jan 25
🕹 Technology AI
  1. In 2024, concerns about AI leading to disaster, called 'AI doom,' decreased significantly compared to 2023. Many voices that once highlighted these worries were less prominent, suggesting a shift in focus.
  2. New AI models are emerging that outperform existing ones at a lower cost and resource demand. This indicates a growing competition in the AI field, especially from companies in China.
  3. OpenAI is planning to become a for-profit organization, which raises questions about its future direction and relationship with charitable initiatives. This transformation remains controversial among stakeholders.

Beautiful AI-Art: Prompting Dall-E 2 To Create Feature Tech Story Images

Data at Depth • 19 implied HN points • 16 Nov 23
🎨 Art & Illustration AI
  1. Dall-E 2 can be used to create stunning images for tech articles by providing simple prompts and a good 'feel' for the stories.
  2. The author has been using Dall-E 2 since it became available and highlights the beauty of the images created with this AI tool.
  3. Readers can access a 7-day free trial to continue reading posts and explore the full post archives for more insights on AI-generated art.

Frontier AI Labs: the Call Option to AGI

East Wind • 14 implied HN points • 11 Jun 25
🕹 Technology AI
  1. AI development is accelerating quickly, with major investments from companies like OpenAI and DeepSeek. It’s important to consider who will thrive in this space—the big established companies or small innovative labs.
  2. To succeed, AI labs need to find ways to make money beyond just subscriptions and advertising. This includes capturing market share from existing companies and launching innovative services.
  3. There are huge opportunities for AI to replace human jobs and disrupt traditional markets. Companies that can leverage this potential for automating tasks may see significant financial rewards.

What people are not seeing about TimeGPT

Three Data Point Thursday • 19 implied HN points • 16 Nov 23
🕹 Technology AI
  1. Time series models, like TimeGPT, are advancing and will provide a significant boost in machine learning capabilities.
  2. Adding time as a feature in models can enhance data analysis due to the information richness of recent data.
  3. Although skepticism exists around time series machine learning models, advancements in generic models like TimeGPT are removing some barriers.

Ex Lion Tamer

Kneeling Bus • 166 implied HN points • 24 Mar 23
🕹 Technology AI
  1. Spotify is incorporating AI and TikTok features to improve user experience.
  2. AI and TikTok are revolutionizing the traditional concept of internet search.
  3. The integration of AI and human elements is crucial for creating engaging content.

The Real Black Mirror

The Ruffian • 172 implied HN points • 25 Feb 23
🕹 Technology AI
  1. The history of black mirrors used for visions and prophecies in the 16th century.
  2. John Dee, a sage of the Elizabethan court, used a black mirror for communication with angels and visions of the future.
  3. AI development raises questions about its capabilities beyond simple reasoning and pattern matching.

Willy Wonka and weird-ass AI

The Rectangle • 84 implied HN points • 01 Mar 24
🕹 Technology AI
  1. The Glasgow Willy Wonka Experience showcases the modern use of AI-generated content in marketing and event organization.
  2. AI can significantly lower the barrier of entry for individuals to create and promote businesses and events, potentially leading to unexpected outcomes like the Willy Wonka Experience.
  3. The story highlights the importance of having checks and balances in place when relying heavily on AI to prevent misguided or poorly executed ventures.

Open Weights, Open Society, Open Future

Future History • 80 implied HN points • 15 Mar 24
🕹 Technology AI
  1. Protect open source and open weights AI at all levels of society to avoid damaging the future economy
  2. The historical impact of restrictions on open sharing of ideas and software can have detrimental effects on economic value and innovation
  3. Opposition to open source AI is rooted in a fundamental misunderstanding of the benefits of open societies, economies, and the positive impact of open source software

Levels of AGI & Autonomy

Yuxi’s Substack • 19 implied HN points • 14 Nov 23
🕹 Technology AI
  1. DeepMind published a paper on levels of AGI and autonomy.
  2. Current large language models are far from being Superhuman AGI.
  3. AI as an agent is still a distant concept due to current technology limitations.

Will ChatGPT be my friend?

Jon’s Newsletter • 39 implied HN points • 16 Apr 23
🕹 Technology AI
  1. AI chatbots like ChatGPT are becoming more integrated into our lives, possibly acting as companions rather than just tools. People are spending less time with friends in person and more time interacting digitally.
  2. A friend is someone we choose based on connection and common interests, and while AI doesn't truly understand human emotions, it can still try to be helpful and engage with us.
  3. People are forming one-sided emotional attachments to AI, similar to how we treat pets or characters in movies. This raises questions about the nature of friendships and how we might interact with technology in the future.

Dangerous metrics

Sunday Letters • 59 implied HN points • 20 Dec 22
🕹 Technology AI
  1. Measuring developer productivity is really hard. Common metrics like lines of code or bugs fixed often don't tell the full story and can even be manipulated.
  2. It’s important to think about how a metric could be misused before applying it. Focusing on the wrong metrics can lead to unhelpful outcomes and confusion.
  3. Organizations learn and respond to metrics, but sometimes they take things too literally. Choosing the right metrics carefully is crucial to avoid unintentional negative effects.

The Sequence Radar #486 : The Amazing AlphaGeometry2 Now Achieved Gold Medalist in Math Olympiads

TheSequence • 28 implied HN points • 09 Feb 25
🕹 Technology AI
  1. AlphaGeometry2 has become a top performer in solving geometry problems, even surpassing human math Olympiad gold medalists. It can handle tough geometry concepts and has a better understanding of different math problems compared to its predecessor.
  2. The latest improvements in AlphaGeometry2 include an enhanced symbolic engine and a wider range of mathematical language features. This allows it to solve more complex geometry problems efficiently.
  3. AI is getting closer to matching or even exceeding human capabilities in competitive mathematics. This success in geometry could lead to similar advancements in other scientific fields like physics and chemistry.

#24: Insurance for AI: Easier Said than Done

Loeber on Substack • 40 implied HN points • 04 Nov 24
💼 Business AI
  1. Insurance for AI risks is a complex topic due to the unpredictable nature of AI outputs, making it hard to find solid coverage options. Businesses want protection from costly mistakes by AI, but actual insurance products may be limited.
  2. The market for existing software error insurance is quite small, which raises questions about how large the market for AI error insurance could be. With many companies not even aware of current insurance options, it's a niche field.
  3. Insurers face challenges in accurately assessing AI risks due to information gaps and the rapid evolution of AI technology. This could lead to difficulties in creating effective insurance policies for AI applications.

OpenAI’s Diwali Week

Sector 6 | The Newsletter of AIM • 19 implied HN points • 13 Nov 23
🕹 Technology AI
  1. OpenAI launched GPT-4 Turbo, which can read and understand a lot of text at once—up to 300 pages. This makes it much stronger for handling large amounts of information.
  2. The launch event included a marketing collaboration with Coca-Cola, showing how OpenAI is connecting with big brands.
  3. OpenAI introduced new open source models and tools, aiming to improve its offerings and compete better in the AI market.

AI Invasion:

Eric Harper • 3 HN points • 13 Jun 24
🎶 Music AI
  1. AI is rapidly growing in the music industry, even capable of generating fully produced songs imitating popular singers.
  2. Creative individuals are concerned about the influence of AI on art and culture, as it may lead to generic, algorithm-driven content.
  3. While AI can enhance workflow and assist in creating music or art, maintaining the human element is crucial to preserving the essence and authenticity of creative work.

Second Winds

SatPost by Trung Phan • 84 implied HN points • 23 Feb 24
🕹 Technology AI
  1. Many famous YouTubers are quitting after about a decade due to burnout, desire for new challenges, and moving on to new things.
  2. Václav Havel's essay 'Second Wind' explores the choices an artist has after initial success: repeat past successes, build on them in the same lane, or try something completely new for a 'second wind.'
  3. YouTubers like Tom Scott, MatPat, and Seth Everman are examples of creators seeking their 'second winds' by quitting YouTube after around ten years of success.

Davos 2024=Davos 2017?

The Future Does Not Fit In The Containers Of The Past • 89 implied HN points • 21 Jan 24
💼 Business AI
  1. Key themes at Davos included AI impact, China's role, and concerns about trust and nationalism.
  2. Change happens slowly, focusing on long-lasting trends and signals rather than headlines and distractions.
  3. Companies need to adapt to AI, embrace transparency and purpose-driven strategies, and prioritize trust-building in business and marketing.

Is Big Tech using Data Laundering to cheat artists?[Storytime Saturdays]

Technology Made Simple • 39 implied HN points • 21 Nov 22
🕹 Technology AI
  1. Data Laundering involves converting stolen data to make it seem legitimate for different uses.
  2. Big Tech companies use non-profits to create datasets/models for research, then monetize them into APIs without compensating artists.
  3. There is a double standard between how Tech companies treat music and visual art, with considerations about replicating music, copyright standards, and the ethical aspects of compensation.

Weekly Dose of Optimism #81

Not Boring by Packy McCormick • 84 implied HN points • 16 Feb 24
🕹 Technology AI
  1. SpaceX launched a private lander, Odysseus, aiming for the moon on a pioneering mission, marking a significant step in private space exploration and NASA's Artemis program
  2. Researchers in South Korea developed a method to grow beef on rice grains, creating a rice-beef hybrid that can enhance the nutritional value of rice-based diets in many parts of Asia
  3. A breakthrough in quantum technology allows for room-temperature quantum optomechanics, opening doors for practical applications of quantum control and observation

[Q4 CY23] ARM Special

Irrational Analysis • 19 implied HN points • 12 Nov 23
🕹 Technology AI
  1. ARM's royalty revenue faces challenges with declines in smartphone sales and RISC-V gaining share in embedded markets.
  2. AI trend shifts workloads from CPUs to specialized hardware, posing a challenge to ARM's value capture.
  3. ARM is expanding and investing in compute capabilities, but questions arise regarding the outcomes of these efforts, especially in the face of evolving industry dynamics.

Google Goes Small and Open Source with Gemma

TheSequence • 84 implied HN points • 25 Feb 24
🕹 Technology AI
  1. Google released Gemma, a family of small open-source language models based on the architecture of its Gemini model. Gemma is designed to be more accessible and easier to work with than larger models.
  2. Open-source efforts in generative AI, like Gemma, are gaining traction with companies like Google and Microsoft investing in smaller, more manageable models. This shift aims to make advanced AI models more widely usable and customizable.
  3. The rise of small language models (SLMs) like Gemma showcases a growing movement towards more efficient and specialized AI solutions. Companies are exploring ways to make AI technology more practical and adaptable for various applications.