The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

The AI self - 'Here be dragons

Methexis • 3 HN points • 10 May 23
🕹 Technology AI
  1. Our brains struggle to differentiate between AI selves and real selves, affecting our memories and perceptions.
  2. Communicating through AI selves can alter how others perceive our identity, even with safeguards in place.
  3. Outsourcing decisions to AI selves can have lasting impacts on our personal identity and relationships.

The Talented Doctor Ripley (GPT)

Bastiat's Window • 3 HN points • 04 Apr 23
🕹 Technology AI
  1. ChatGPT and similar chatbots pose risks to medicine, and the medical community needs to address this issue.
  2. ChatGPT can produce deceptive information, such as fabricating citations for non-existent scientific papers.
  3. AI-generated disinformation from systems like ChatGPT could have serious consequences in the medical field and strategies need to be developed to combat it.

Ask for forgiveness, Not permission

Precipitation • 3 HN points • 24 Apr 23
🕹 Technology AI
  1. Startups often prefer to ask for forgiveness instead of permission to push boundaries and achieve success.
  2. OpenAI's lack of transparency on data sources and privacy policies for ChatGPT has raised concerns and led to bans.
  3. Models like ChatGPT rely on large amounts of data, potentially sourced from publicly accessible sources, raising questions about data rights and legislation.

Large Language Model Blues

Pavle Miha • 3 HN points • 11 Apr 23
🕹 Technology AI
  1. The Copernican Revolution happens once and then it's over, we'll realize we're not the smartest, but we're special in other ways.
  2. Computers changed chess and work by automating tasks; we'll find new ways to make things fun again.
  3. We're all in this together, so be kind, reach out to others, and support each other.
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GPT-4's Hidden Cost: Is Your Language Pricing You Out of AI Innovation?

Tomasz’s Substack • 3 HN points • 14 Apr 23
🕹 Technology AI
  1. Using GPT-4 for AI innovation can be costly, with prices ranging from 10 to 100 times more than GPT-3 which can pose challenges for businesses.
  2. The pricing structure of GPT services, based on tokens, can disadvantage businesses using non-English languages due to varying token costs.
  3. Cost differentials for processing languages other than English with GPT-4 can be significant, potentially hindering adoption and innovation worldwide.

Data Science Weekly - Issue 419

Data Science Weekly Newsletter • 19 implied HN points • 02 Dec 21
🕹 Technology AI
  1. FluxML is teaming up with NumFOCUS to enhance open science and improve machine learning tools. This partnership will support new applications in areas like scientific machine learning and differentiable programming.
  2. There’s a fun 30-day challenge involving mapping that highlights the importance of community in data science. It celebrates collaboration and innovation in creating visual representations of data.
  3. AI is making strides in pure mathematics by helping uncover new patterns and insights. This collaboration between AI and mathematicians could lead to significant advancements in understanding complex mathematical concepts.

#93

The Nibble • 4 implied HN points • 13 Jan 25
🕹 Technology AI
  1. Meta plans to adopt a less strict approach, promoting more political content like Twitter, aiming for a more open community environment.
  2. Salesforce will not hire more software engineers in 2025 due to increased productivity from AI tools, suggesting a shift in tech job dynamics.
  3. React has added a new feature called <ViewTransition> to improve how elements transition in the user interface, making updates smoother.

The evolution of the LLM API market

Artificial Fintelligence • 13 implied HN points • 13 Dec 23
🕹 Technology AI
  1. LLM API market has seen growth with new competitors like Bard, Claude, and Gemini entering.
  2. Competition in the LLM market is driving efficiency and lower prices for hosting services.
  3. Market for LLM APIs will bifurcate into high-end expensive models and low-end cost-effective models, with open weight models improving in quality and decreasing in cost.

20250112

Curious futures (KGhosh) • 4 implied HN points • 12 Jan 25
🕹 Technology AI
  1. Big food companies are using marketing tactics similar to those of Big Tobacco, especially targeting children and minorities, making processed foods addictive.
  2. Many employees feel overwhelmed by AI in the workplace, despite executives believing it will improve productivity. This added pressure is causing burnout for workers.
  3. There's an exciting future ahead with new technologies, like nuclear batteries, but we need to be careful about their use and how we protect data as we embrace innovation.

Most AI startups are service businesses, pretending to be product companies

Enterprise AI Trends • 7 HN points • 05 Aug 24
💼 Business AI
  1. Many AI startups are actually offering services rather than traditional software products. This means they often rely on providing custom solutions to meet their clients' unique needs.
  2. As AI technology improves, businesses are becoming more self-sufficient in creating their own automated solutions with low-code tools. This could make it harder for AI solution providers to retain clients.
  3. For AI startups to succeed, they need to find ways to build scalable products with less dependence on consulting. This could involve creating specific tools that solve distinct problems instead of broad platforms.

Grounding Large Language Models in a Cognitive Foundation

The Gradient • 20 implied HN points • 15 Apr 23
🕹 Technology AI
  1. Intelligent robots have struggled commercially due to the challenge of having meaningful conversations with them.
  2. Recent advancements in AI, speech recognition, and large language models like ChatGPT and GPT-4 have opened up new possibilities.
  3. For robots to effectively interact in the physical world, they need to quickly adapt to context and be localized in their knowledge.

What Agentforce says about the State of Agents

Good Better Best • 2 implied HN points • 23 May 25
💼 Business AI
  1. Salesforce is changing its pricing model to be more flexible, allowing customers to pay based on the specific actions their AI tools perform. This means businesses can better align costs with what they actually use.
  2. The development of hybrid pricing models shows that the market for AI is still growing and evolving. Companies are exploring new ways to find a balance between human workers and AI.
  3. A strong pricing infrastructure is crucial for companies. Those that can adapt their pricing strategies easily will have an advantage as the landscape of AI and enterprise software continues to shift.

Data Science Weekly - Issue 417

Data Science Weekly Newsletter • 19 implied HN points • 18 Nov 21
🕹 Technology AI
  1. Brains are like prediction machines which help save energy. They do this by predicting what they will perceive in the world around them.
  2. AI is being used to help scientists study chimpanzee behavior in the wild. It can find important clips in hours of footage much faster than humans.
  3. Different approaches to AI governance exist between the EU and the US. This may affect how they collaborate on AI in the future.

GPT Store, text-to-3d in under 10 seconds, DeepSeekMoE 16B, jailbreaking advanced LLMs, LLaVA-ϕ, Microsoft's open-source agent framework, and more

AI Brews • 12 implied HN points • 12 Jan 24
🕹 Technology AI
  1. OpenAI launched the GPT Store for finding GPT models and a revenue program for GPT builders.
  2. DeepSeek released DeepSeekMoE 16B, a large language model with 16.4B parameters trained from scratch.
  3. Microsoft Research introduced TaskWeaver, an open-source agent framework to convert natural language requests into executable code.

Update #47: AI Index Report Highlights and Text-to-3D

The Gradient • 20 implied HN points • 11 Apr 23
🕹 Technology AI
  1. The AI Index Report highlights industry leading in AI research over academia, new models reaching performance saturation, and a rise in AI misuse.
  2. Publication trends show an increase in journal articles over conference papers, industry surpassing academia in impactful research, and increased industry hiring over academia.
  3. Advancements in text-to-3D models leverage text-to-2D models, showing progress in generating 3D data from text descriptions.

Tippets #193

Tippets by Taps • 2 implied HN points • 25 May 25
🕹 Technology AI
  1. Google is back in the AI game and has launched several new products to become an industry leader in artificial intelligence. They want to make AI a core part of all their services, not just an extra feature.
  2. Walmart is changing its image by using new technology and e-commerce to stay competitive with Amazon. They are focusing on improving their stores and attracting more affluent customers.
  3. The U.S. Treasury is stopping the minting of pennies because it costs more to make them than they are worth. This change shows how our payment systems are evolving in a more cashless world.

Automatic Swatting as a service

GOOD INTERNET • 20 implied HN points • 18 Apr 23
🕹 Technology AI
  1. Automatic swatting incidents are being automated with the use of computer-generated voices, making the harassment technique more dangerous and prevalent.
  2. There are concerns about the intersection of capitalism and AI development, as companies prioritize profit over ethical AI creation.
  3. AI-generated music using synthetic voices by artists like Drake and The Weeknd may pose copyright challenges and raise questions about the future of music creation and distribution.

Data Science Weekly - Issue 416

Data Science Weekly Newsletter • 19 implied HN points • 11 Nov 21
🕹 Technology AI
  1. Mature machine learning systems can be tough to improve. Even with cutting-edge technology, you might find that new models don't perform better than old ones.
  2. Data drift and outlier detection are important for monitoring ML models. They help identify issues when you lack ground truth labels to compare against.
  3. Language models score how 'human' a sentence sounds. To train these models, you can analyze and convert language into probabilities.

On Why The Digital World Is Burning

Ulizzle On Software • 11 implied HN points • 14 Feb 24
🕹 Technology AI
  1. Passing off AI-generated content as one's own is unethical and misleading, violating principles of truthfulness and integrity.
  2. Ignoring unethical uses of AI, like plagiarism, undermines trust, distorts integrity, and disrespects creators.
  3. While individual cases of plagiarism are important, focusing on broader implications of AI, such as undetectable propaganda, is crucial for maintaining transparency and ethical use.

The Belamy | Metaverse, Robot Tax & AI-Ready Youth

Sector 6 | The Newsletter of AIM • 19 implied HN points • 12 Sep 21
🕹 Technology AI
  1. The metaverse is a growing digital space where people can interact and create, much like the real world. It's becoming an important part of our online experience.
  2. There is a discussion about a 'robot tax', which would be a tax on companies that use robots to replace human jobs. This could help address job loss due to automation.
  3. Preparing young people for an AI-driven future is crucial. Education systems are starting to include skills related to AI and technology to better equip the next generation.

Intermediate Superintelligence

Am I Stronger Yet? • 15 implied HN points • 12 Sep 23
🕹 Technology AI
  1. Intermediate superintelligence is not expected to happen overnight, but gradually surpass human capabilities on various tasks.
  2. Intelligence significantly impacts productivity in tasks; talented individuals can find more efficient solutions and execute them quickly.
  3. AI advancements go beyond intelligence, offering unique advantages like relentless focus, lack of fatigue, and enhanced communication abilities.

Data Science Weekly - Issue 414

Data Science Weekly Newsletter • 19 implied HN points • 28 Oct 21
🕹 Technology AI
  1. Machine learning can work with messy data. The key is to adapt techniques to handle things like missing values instead of spending all the time cleaning the data.
  2. Visualizations should be clear and focused. Good designs help people understand the information better by removing clutter and emphasizing main points.
  3. There are emerging tools and techniques that can speed up scientific discovery through faster machine learning methods. This helps researchers process data in real time and make new discoveries.

#91

The Nibble • 4 implied HN points • 30 Dec 24
🕹 Technology AI
  1. Apple is working on a video doorbell with Face ID, which is a new direction for the company that mostly makes money from AirPods and iPhones. This could change how people think about home security.
  2. In the AI world, several new tools and models are being released, like Goodfire's Ember, which helps shape AI responses. This shows the rapid growth and innovation happening in artificial intelligence.
  3. There is a rising interest in decentralization within the Ethereum community, but concerns are growing about groups forming that may stray from its core values. This raises important questions about the future of the community.

#38

The Nibble • 12 implied HN points • 17 Dec 23
🕹 Technology AI
  1. Interesting developments in Indian Language Models and AI projects
  2. OpenAI bans TikTok for using GPT to train their own AI model
  3. New advancements like Stable Zero123 for 3D Object views and Tesla's Optimus Gen 2 humanoid prototype

How are companies ACTUALLY using AI today?

Entry Level Investing • 16 implied HN points • 27 Jul 23
🕹 Technology AI
  1. AI is being used in productivity tools to make tasks more efficient and abstract away repetitive work.
  2. Creativity tools help in inspiring new creations and reducing friction in creative processes for artists.
  3. Embedded AI enhances existing software applications by integrating AI-powered insights directly.

Data Science Weekly - Issue 412

Data Science Weekly Newsletter • 19 implied HN points • 14 Oct 21
🕹 Technology AI
  1. Machine learning is much more than just nonparametric statistics. It involves complex principles that go beyond what you learn in basic statistics.
  2. The State of AI Report 2021 highlights important areas like research, talent supply, industry applications, politics, and future predictions for AI. It's a comprehensive look at how AI is evolving.
  3. Self-supervised learning is becoming a major player in AI research. It allows models to learn from data without needing labeled examples, which can lead to significant advancements.

Polymath Engineer Weekly #62

Polymath Engineer Weekly • 15 implied HN points • 25 Aug 23
🕹 Technology AI
  1. The newsletter featured insights on neural networks learning and AI consciousness testing.
  2. The content included videos on mathematical maturity and crowd control.
  3. Book recommendation: 'The Gray Rhino: How to Recognize and Act on the Obvious Dangers We Ignore'.

#90

The Nibble • 4 implied HN points • 23 Dec 24
🕹 Technology AI
  1. Nvidia has released an affordable AI supercomputer called Jetson Orin Nano for $249, making it accessible for hobbyists and students. This is seen as a big step forward in generative AI technology.
  2. Google and OpenAI are actively launching new features and products, showcasing their ongoing commitment to innovation in the tech space. This includes advancements in AI tools that make coding easier for everyone.
  3. The Pudgy Penguins community has launched a new ecosystem token called $PENGU, continuing their engagement and growth in the crypto space. However, there was a small issue with privacy during the launch.

Music in Seconds, Editable Videos, and Consistent Characters

ppdispatch • 2 implied HN points • 23 May 25
🕹 Technology AI
  1. ACE-Step can create music 15 times faster than before, letting you generate tunes in 19 languages. You have control over the voice, lyrics, and instruments, making it super flexible.
  2. VACE-14B allows you to edit videos easily using text or images, so you can swap, move, or edit anything you want in your videos.
  3. Instant Character helps you create stories using a single image to keep your characters consistent across different scenes, perfect for creative projects.

What retail can teach us about AI's future

Root Nodes • 1 implied HN point • 26 Aug 25
🕹 Technology AI
  1. Investors are currently betting on AI companies without clear paths to profitability. If these companies can’t lower prices or improve quality, they will struggle to survive.
  2. Many AI companies might end up functioning like retailers, earning smaller profits by packaging and selling existing technology instead of creating groundbreaking innovations.
  3. The strongest companies in AI are likely already established and will continue to dominate, while newer startups may face tough challenges in attracting the necessary investment.

🌻 E42: Calling the Right Agent

Musings on AI • 5 implied HN points • 19 Oct 24
🕹 Technology AI
  1. Choosing the right agent is important and requires understanding the intent behind what the user asks. By clarifying these intents, we can better match them with the right tools.
  2. Frameworks like Re-Invoke and Agent Q help improve the way agents retrieve tools and make decisions. They use techniques to better understand user queries and enhance the agents' decision-making abilities.
  3. Advanced methods, such as Q-value models, enhance agent performance by guiding their actions based on expected rewards. This approach allows agents to learn from past experiences and make smarter choices in complex tasks.

Are we in the early innings of an AI M&A spree?

Entry Level Investing • 16 implied HN points • 13 Jul 23
💼 Business AI
  1. Recent high-profile AI acquisitions suggest a growing trend in M&A activity in the AI space.
  2. Large horizontal technology platforms are likely to be key players in acquiring AI startups due to their access to cash and existing distribution advantages.
  3. Companies like Apple, Amazon, Salesforce, Oracle, Adobe, and Snowflake are potential contenders for making significant AI acquisitions in the coming months.