The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

Edge 373: Computationally Efficient LLM Reasoning with ReWOO

TheSequence • 413 implied HN points • 27 Feb 24
🕹 Technology AI
  1. ReWOO is a new reasoning technique optimized for information augmented LLMs, focusing on step-wise reasoning, tool-calls, and summarization as separate modules.
  2. RAG techniques impact the reasoning abilities of LLMs in generative AI applications, often requiring coordination between LLMs and external tools, which can increase computational demands.
  3. LLMFlows is introduced as a framework for building LLM applications, showcasing the importance of augmenting LLMs with external data like RAG to enhance their capabilities.

The Sequence Radar #554 : The New DeepSeek R1-0528 is Very Impressive

TheSequence • 77 implied HN points • 01 Jun 25
🕹 Technology AI
  1. The DeepSeek R1-0528 model is really good at math and reasoning, showing big improvements in understanding complicated problems.
  2. This new model can handle large amounts of data at once, making it perfect for tasks that need lots of information, like technical documents.
  3. DeepSeek is focused on making advanced AI accessible to everyone, not just big companies, which is great for developers and researchers with limited resources.

Links for 2024-01-28

Axis of Ordinary • 58 implied HN points • 28 Jan 24
🕹 Technology AI
  1. Improving transformers with irrelevant data from other modalities showed significant performance enhancements.
  2. New revolutionary work in genome engineering can lead to innovative DNA manipulations.
  3. Higher intelligence levels were linked to negative attitudes towards cryptocurrencies.

📝 Guest Post: Advanced RAG Techniques: Bridging Text and Visuals for More Accurate Responses*

TheSequence • 175 implied HN points • 09 Dec 24
🕹 Technology AI
  1. RAG techniques combine the power of language models with external data to improve accuracy. This means AI can give better answers by using real-world information.
  2. Advanced methods like Small to Slide RAG make it easier for AI to work with visual data, like slides and images. This helps AI understand complex information that is not just text.
  3. ColPali is a new approach that focuses on visuals directly, avoiding mistakes from converting images to text. It's useful for areas like design and technical documents, ensuring important details are not missed.

📝 Guest Post: LoRA Land: 25 Fine-Tuned Mistral-7b LLMs that Rival or Outperform GPT-4

TheSequence • 413 implied HN points • 23 Feb 24
🕹 Technology AI
  1. Efficient fine-tuning with specialized models like Mistral-7b LLMs can outperform leading commercial models like GPT-4 while being cost-effective.
  2. Incorporating techniques like Parameter Efficient Fine-Tuning and serving models via platforms like LoRAX can significantly reduce GPU costs and make deployment scalable.
  3. Using smaller, task-specific fine-tuned models is a practical alternative to expensive, large-scale models, making AI deployment accessible and efficient for organizations with limited resources.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Moore’s Law Accelerates

Dana Blankenhorn: Facing the Future • 119 implied HN points • 16 Oct 23
🕹 Technology AI
  1. It's becoming more challenging to keep pace with advancing technology.
  2. The rise of AI, particularly generative AI, is significantly impacting various industries.
  3. Resistance to technological advancements, particularly AI, is diminishing in fields like medicine, education, and law.

Please Stop Saying Long Context Windows Will Replace RAG

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 18 Mar 24
🕹 Technology AI
  1. Long context windows (LCWs) and retrieval-augmented generation (RAG) serve different purposes and won’t replace each other. LCWs work well when asking multiple questions at once, while RAG is better for separate inquiries.
  2. Using LCWs can get really expensive because they involve processing a lot of data at once. In contrast, RAG uses smaller, focused data chunks, which helps keep costs down.
  3. Research shows that LLMs perform better when important information is at the start or end of a long context. So, relying only on LCWs can lead to problems since crucial details may get overlooked.

New applied metascience lab - Future House announced + some thoughts on UK applied metascience

James W. Phillips' Newsletter • 98 implied HN points • 01 Nov 23
🕹 Technology AI
  1. A new applied metascience lab called Future House has been announced, with a focus on using AI to accelerate scientific research.
  2. Future House aims to create an 'AI scientist' that can independently develop hypotheses by analyzing scientific papers.
  3. The UK needs to prioritize initiatives like Future House to orient to new opportunities and empower quality talent in research.

CEO of DeepSeek's parent, High-Flyer Quant, spoke in 2020

Pekingnology • 143 implied HN points • 27 Jan 25
💰 Finance AI
  1. High-Flyer Quant uses AI for its investment strategies. They rely on advanced models and lots of data to predict stock prices and make trades.
  2. The Chinese stock market is seen as less efficient, which gives AI-driven strategies a chance to find opportunities that traditional investing might miss. This leads to potential higher returns for the right strategies.
  3. As more institutions enter the market, competition will increase. High-Flyer focuses on research and development to stay ahead in this tough environment.

“Am I the Jared Kushner?”

benn.substack • 741 implied HN points • 21 Apr 23
🕹 Technology AI
  1. Analysts should reflect on their role and avoid behaving like Jared Kushner
  2. Being a data analyst involves providing informed insights, not just being a 'nicer, kinder' Jared Kushner
  3. Focusing on keeping the company well-informed through regular updates can be more effective than traditional data reporting

ChatGPT One Year Later

Bojan’s Newsletter • 78 implied HN points • 11 Dec 23
🕹 Technology AI
  1. Google launched AI chatbot Bard as a competitor to OpenAI's ChatGPT.
  2. Microsoft introduced AI-powered Bing and Edge for improved user experience.
  3. Various startups and companies released new AI chatbots and models in competition with OpenAI's ChatGPT.

Concise Chain-of-Thought (CCoT) Prompting

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 59 implied HN points • 24 Jan 24
🕹 Technology AI
  1. Concise Chain-of-Thought (CCoT) prompting helps make AI responses shorter and faster. This means you save on costs and get quicker answers.
  2. Using CCoT, the response length can be reduced by almost 50%, but it can lead to lower performance in math problems. So, it’s a trade-off between speed and accuracy.
  3. For cost-saving in AI, focusing on reducing the number of output tokens is key since they are generally more expensive. CCoT is one way to achieve this without sacrificing performance too much.

On the Societal Impact of Open Foundation Models

AI Snake Oil • 398 implied HN points • 27 Feb 24
🕹 Technology AI
  1. The paper on the societal impact of open foundation models clarifies the discrepancy in claims about openness's societal effects, examines the benefits like transparency and empowering research, and proposes a risk evaluation framework for comparing risks of open vs. closed foundation models and existing technologies.
  2. The framework for risk assessment in the paper outlines steps like threat identification, evaluating existing risks and defenses, and determining the marginal risk of open foundation models. It aims to provide a structured approach to analyzing risks associated with open foundation models.
  3. By analyzing benefits, such as distribution of decision-making power, innovation, scientific research facilitation, and transparency, the paper sheds light on the advantages of open foundation models and offers recommendations for developers, researchers, regulators, and policymakers to navigate the landscape effectively.

Links for 2024-01-26

Axis of Ordinary • 58 implied HN points • 26 Jan 24
🔬 Science AI
  1. Hugging Face and Google partner for AI collaboration
  2. Spatial VLM introduces 3D Vision-Language Model
  3. Superforecasters optimistic about x-risk but concerned over engineered pandemics

How Would The Architecture For An LLM Agent Platform Look?

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 24 May 24
🕹 Technology AI
  1. The architecture for an LLM agent platform could develop in three stages, starting with a simple AI that recommends tools based on user needs.
  2. As the platform grows, it will enable interactions between multiple tools and the AI, allowing for dynamic exchanges of information.
  3. Future improvements will focus on enhancing the agent's capabilities through better tools and more collaboration among them.

Special Announcement: 1st Date Set for Spatial Web AI Learning Lab LIVE

Spatial Web AI by Denise Holt • 58 implied HN points • 25 Jan 24
🕹 Technology AI
  1. Learn about Active Inference AI and Spatial Computing in a new Learning Lab LIVE series for $5/month or $32/year.
  2. The series delves into concepts like Active Inference, Spatial Computing, and how these technologies merge in the future.
  3. Each monthly presentation covers topics like the Spatial Web Protocol, Belief Updating, Holon architecture, and more, with two LIVE sessions per month.

Benchmarking humanoid robots begins!

Robots & Startups • 39 implied HN points • 16 Mar 24
🕹 Technology AI
  1. 2024 is set to see the commercial release of several new humanoid robots, advancing capabilities in manufacturing, logistics, and retail.
  2. Benchmarking for humanoid robots is crucial for determining their success - factors like endurance and dexterity are key, surpassing simple speed comparisons.
  3. Industry leaders stress the importance of establishing common benchmarks in the field to support the emerging market and drive innovation.

Please take our programming assessment with an LLM

Creating Value from Nothing • 185 implied HN points • 05 Nov 24
🕹 Technology AI
  1. Clipboard Health is using real-case programming problems in their hiring process. This helps them see how candidates actually work and fit into their async work culture.
  2. They believe that using LLMs, like chatbots or AI tools, is okay during assessments. They see these tools as standard parts of a modern engineer's toolkit, not as cheats.
  3. By allowing LLM use, they hope to create better assessments that truly evaluate a candidate's skill, helping to find the best engineers for their team.

Top Questions ahead of Battlefin’s Discovery Day Miami

The Data Score • 59 implied HN points • 22 Jan 24
💰 Finance AI
  1. The article highlights key questions for speakers at Battlefin's Discovery Day Miami, focusing on emerging technologies integration and data-driven insights in investment debates.
  2. The author tested ChatGPT for question generation, challenging its ability to create relevant and insightful questions for each panel session.
  3. The author compared their questions with ChatGPT's questions for each panel, reflecting on their differences and the strengths of human creativity against AI capabilities.

($) Stargate is America’s Sovereign AI

Interconnected • 138 implied HN points • 22 Jan 25
🕹 Technology AI
  1. Stargate is seen as a key AI technology for America, focusing on improving national capabilities. It aims to make the U.S. more self-sufficient in AI development.
  2. The project emphasizes the importance of sovereign technology, meaning that the U.S. can control and utilize its own AI resources without relying heavily on foreign technologies.
  3. Community support and subscriptions play a crucial role in sharing insights about such technologies, encouraging more people to get involved and informed.

OpenAI Sora: You Can't Believe Your Eyes Anymore

The Algorithmic Bridge • 403 implied HN points • 21 Feb 24
🕹 Technology AI
  1. OpenAI Sora is a significant advancement in video-generation AI, posing potential risks to the credibility of video content as it becomes indistinguishable from reality.
  2. The introduction of Sora signifies a shift in the trust dynamic where skepticism towards visual media is becoming the default, requiring specific claims for authenticity.
  3. The impact of AI tools like Sora extends beyond technical capabilities, signaling a broader societal shift towards adapting to a reality where trust in visual information is no longer guaranteed.

Semiconductor Outlook 2024: AI's Adolescence

Mule’s Musings • 443 implied HN points • 02 Jan 24
🕹 Technology AI
  1. Semiconductor market experienced a downturn in 2023 but is showing signs of recovery in 2024, especially in AI-related segments
  2. AI is emerging as a significant market segment in the semiconductor industry and is expected to continue growing in 2024
  3. Memory market, particularly High Bandwidth Memory (HBM), is also expected to see growth and become a major category in 2024

Links for 2024-01-23

Axis of Ordinary • 58 implied HN points • 23 Jan 24
🔬 Science AI
  1. Researcher Jim Fan discusses the 'foundation agent' for AI blending virtual and physical worlds
  2. Market's valuation of LLM companies indicates low expectations for human-level AGI
  3. Speculative Decoding improves LLM inference speed without sacrificing output quality

The Google Gemini Debacle Shows Us Why Office Politics Matters More Than Ever

The Ruffian • 393 implied HN points • 28 Feb 24
🕹 Technology AI
  1. Understanding the cultural and political worldview of staff compared to users is critical for companies, especially in today's politicized environment.
  2. AI companies need to consider and be transparent about their cultural politics to address the challenge of aligning AI values with those of society.
  3. The alignment problem for AI companies extends beyond just aligning values with humanity, and it involves understanding different clusters of values and varying cultural perspectives.

🌻 E43: ML Deployment is a mess and Simplismart is solving it

Musings on AI • 184 implied HN points • 07 Nov 24
🕹 Technology AI
  1. Simplismart raised $7 million to improve how machine learning models are deployed, making the process easier and faster.
  2. The company offers a powerful system that helps avoid common problems in deploying AI models at scale.
  3. They provide tools that save businesses time and money while ensuring their AI models run efficiently.

Last Week in AI #226: OpenAI lawsuits, NASA to explore AI on spaceships, OpenAI vs. Microsoft, generated content flooding the Internet, and more!

Last Week in AI • 178 implied HN points • 03 Jul 23
🕹 Technology AI
  1. OpenAI is facing a class action lawsuit over data usage, highlighting the need for clearer regulations in AI development.
  2. NASA is exploring AI interfaces for spaceships, allowing for natural language interactions and collaborative learning for astronauts.
  3. OpenAI plans to create a 'supersmart personal assistant for work,' potentially entering into competition with Microsoft and its customers.

Zuckerberg's Secret Weapon..

aidaily • 58 implied HN points • 22 Jan 24
🕹 Technology AI
  1. Mark Zuckerberg is focusing on building artificial general intelligence at Meta with substantial computing power.
  2. Samsung's Galaxy S24 series introduces AI features like generative image editing and Google search through photos.
  3. Discussion around the potential need for an AI tax due to job losses, cautioning against rushing into such decisions.

Neurotech Takes The Stage At JPM 2024

NEUROTECH FUTURES • 59 implied HN points • 19 Jan 24
🕹 Technology AI
  1. Neurotech companies are focusing on new business models and innovation in care models, storytelling and fundraising, AI, data generation, and reputation-building.
  2. The 'killer app' for neurotech could be a reliable diagnostic test for Alzheimer's and investment in VR technology for mental health and wearables.
  3. Neurotech is impacting life sciences by advancing digital biomarkers for cognitive health, exploring treatments for Alzheimer's, and focusing on precision neurology and bioelectronics.

The Curve 2025: The Premier Big Picture AI Conference

Am I Stronger Yet? • 62 implied HN points • 24 Jun 25
🕹 Technology AI
  1. The Curve 2025 is a big conference about the future of AI happening in October in Berkeley, CA. It's a chance for people from different fields to come together and share their ideas.
  2. Attendees can apply to join or propose sessions and demos for discussions and presentations. It's open to anyone interested in AI and its impact on the world.
  3. The event aims to encourage conversation and build connections between diverse participants, including researchers, policy makers, and entrepreneurs, to tackle big questions about AI.

🌻 E45: PDL - New Language for Prompting

Musings on AI • 184 implied HN points • 05 Nov 24
🕹 Technology AI
  1. Prompt engineering is important because the way a prompt is worded can change the AI's response. Finding the right technique can improve the effectiveness of AI applications.
  2. The Prompt Declaration Language (PDL) is a new tool designed to simplify working with AI. It allows programmers to easily create applications like chatbots using a straightforward, data-oriented approach.
  3. Recent advancements in AI include new architectures that enhance performance in specific tasks, like financial analysis. These innovations are making AI applications more powerful and useful for real-world problems.

Good Enough AI

Teaching computers how to talk • 131 implied HN points • 05 Feb 25
🕹 Technology AI
  1. A new AI model called DeepSeek shows that we can create powerful tools without spending too much money. This could change how we think about making AI.
  2. The average person might not notice a big difference between high-end and cheaper AI models. Many consumers just want something that works well and is affordable.
  3. The AI industry might become more competitive and focused on meeting everyday needs instead of creating super advanced technology. This means consumers may benefit more while companies earn less.

Why You’re Wrong About AI Data

From the New World • 70 implied HN points • 03 Jun 25
🕹 Technology AI
  1. Having a lot of data doesn't really create a strong advantage for companies. It can make it easier for others to copy their features, turning unique ideas into common standards.
  2. The belief that you can create a monopoly by having specialized data isn't true. What often happens is that competitors can quickly catch up and do the same thing.
  3. Making complicated business processes clear and usable by AI is valuable, but it doesn't protect a company's secrets. Once a process is automated, others can figure it out easily.

Weekly Top Picks #93

The Algorithmic Bridge • 148 implied HN points • 07 Jan 25
🕹 Technology AI
  1. ChatGPT Pro is losing money despite its high subscription cost. This shows that even popular AI tools can face financial troubles.
  2. Nvidia has introduced an expensive new AI supercomputer for individuals. This highlights the growing demand for advanced AI technology in personal computing.
  3. More artists are embracing AI-generated art, sparking discussions about creativity and technology. This signals a shift in how art is produced and appreciated.

A New Fear Unlocked with Copilot+PCs

Sector 6 | The Newsletter of AIM • 19 implied HN points • 22 May 24
🕹 Technology AI
  1. Microsoft's new Recall feature allows easy data retrieval, but many employees are worried it could invade their privacy.
  2. The feature captures screenshots of user activities, which gets processed by an AI, making everything searchable.
  3. High-profile figures, like Elon Musk, are concerned about this feature, comparing it to something out of a dystopian show like Black Mirror.

Weekly Dose of Optimism #129

Not Boring by Packy McCormick • 129 implied HN points • 31 Jan 25
🕹 Technology AI
  1. Boom Supersonic has successfully tested its XB-1 jet, marking a big step toward commercial supersonic flights. This could cut flight times significantly, like from New York to London in about three and a half hours.
  2. DeepSeek's new AI model shows it's possible to train a top-level AI for much less money than before. This could make AI more affordable and accessible for various uses.
  3. Science Corp is experimenting with brain-computer interfaces that blend lab-grown neurons with animal brains. This technology could enhance brain function and offer new treatments for neural damage.