The hottest Models Substack posts right now

And their main takeaways
Category
Top Business Topics
Engineering Ideas 19 implied HN points 20 Dec 23
  1. Gaia Network offers a practical solution for Open Agency Architecture, leveraging proven software and economic mechanisms.
  2. Gaia Network functions as an evolving repository of causal models for improving decision-making and coordination.
  3. The design of Gaia Network promotes ease of adoption, real-world impact, and collaborative development to meet the goals of Open Agency Architecture.
The Grasp 3 HN points 17 Jun 24
  1. Stanford's new research simplifies training humanoid robots using human body and hand poses, revolutionizing data collection for robot learning.
  2. The open-source Vision-Language-Action model, OpenVLA, showcases improved robotic control and performance, highlighting the benefits of collaborative industry contributions.
  3. Harvard and Deepmind's study on virtual rodent brain activity provides insights into brain-controlled motion, with potential implications for brain-machine interfaces and robotics.
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Engineering Ideas 19 implied HN points 08 Nov 23
  1. Concerns about AI regulation revolve around AI monopolization and concentration of power.
  2. The Open Agency model proposes approved specialized AI services and glue AIs to prevent concentration of power.
  3. This model aims to address core concerns of anti-AI regulation individuals regarding power concentration and freedom of political and ethical views.
Davis Treybig 19 implied HN points 24 Jul 23
  1. The driving factor limiting context window size is the quadratic scaling of self-attention in transformers.
  2. New research explores alternative mechanisms like Hyena Operators, State Space Models, and hierarchical attention to improve context window efficiency.
  3. Emphasis is placed on the importance of context curation and retrieval systems over simply increasing context window size for effective LLM performance.
The Cognitive Revolution 19 implied HN points 15 Mar 23
  1. The future of AI involves processing visual data through language models like Google's Flamingo and utilizing options such as image captioning, VQA, OCR, tagging, and aesthetics.
  2. AI can evaluate image aesthetics to improve user experience, sales, and platform aesthetics, with tools like proprietary models from Everypixel and open-source models like LAION.
  3. Established companies should prioritize user needs over building their own models, focusing on delivering the best solutions, reducing costs, and being adaptable to market changes.
Prompt Engineering 19 implied HN points 28 May 23
  1. ChatGPT conversations are now shareable to prevent screenshot sharing and misinformation.
  2. Tree-of-thoughts prompting is a new approach where LLM is prompted with multiple initial steps and evaluates each one.
  3. A new highly performant open-source model called Guanaco outperforms previous models and was fine-tuned using a new approach named QLoRA.
Yuxi’s Substack 19 implied HN points 18 Jul 23
  1. Ground-truth-in-the-loop is crucial for designing and evaluating systems, especially in AI and machine learning.
  2. For AI systems, having trustworthy training data, evaluation feedback, and a reliable world model is essential.
  3. Researchers should inform non-experts about limitations and potential issues when building systems without ground-truth.
Gradient Ascendant 16 implied HN points 21 Feb 24
  1. The author quit their job to work on a new AI-related project motivated by the transformative potential of modern AI technology.
  2. Google's Gemini 1.5 model is a significant advancement in AI capabilities, able to handle an impressive 10 million tokens for input, marking a major leap forward in AI development.
  3. Despite its imperfections, Gemini 1.5 and other advanced AI models are drastically reducing limitations and opening up new possibilities for future technological innovations.
Apperceptive (moved to buttondown) 20 implied HN points 02 Nov 23
  1. The field of AI can be hostile to individuals who are not white men, which hinders progress and innovation.
  2. The history of AI showcases past failures and the subsequent shift towards more practical, engineering-focused approaches like machine learning.
  3. Success in the AI field is heavily reliant on performance advancements on known benchmarks, emphasizing practical engineering solutions.
AI Brews 12 implied HN points 08 Mar 24
  1. New advanced AI models like Claude 3 are being introduced with enhanced features and capabilities, outperforming previous models on various benchmarks.
  2. Innovations in AI technology include tools like a fast 3D object generation model from a single image and a multimodal foundation model for diverse search tasks.
  3. Developments in AI also focus on enabling training large language models at home, creating AI firewalls for protection, and making AI tools more accessible and efficient.
TheSequence 14 implied HN points 19 Mar 24
  1. The series explored different methods and technologies related to reasoning in Large Language Models (LLMs).
  2. Reasoning in LLMs involves working through problems logically to reach conclusions, emerging at a certain scale and not applicable to small models.
  3. The series covered topics like Chain-of-Thought (CoT), System 2 Attention (S2A), tree-of-thoughts, and graph-of-thoughts as techniques for LLM reasoning.
New World Same Humans 15 implied HN points 12 Nov 23
  1. Intelligence is becoming infrastructural, like a new form of energy, powering the world in the Exponential Age.
  2. In the Exponential Age, intelligence is becoming superabundant, available everywhere, like never before in history.
  3. Intelligence in the new world is seen as a new form of energy that does useful work in the digital-physical field, driving a variety of technologies.

#38

The Nibble 12 implied HN points 17 Dec 23
  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
Brett DiDonato 3 HN points 21 Mar 24
  1. Preventing LLMs like ChatGPT from hallucinating entirely is a challenge, but technological advancements are helping reduce hallucination rates.
  2. Techniques such as using better models, retrieval augmented generation (RAG), larger context windows, and improved grounding can significantly reduce model hallucinations.
  3. Hallucinations in large language models are caused by the autoregressive nature of the models and the lack of logical grounding, but advancements in model quality and techniques are making complex AI applications more feasible.
HackerPulse Dispatch 8 implied HN points 08 Mar 24
  1. Elon Musk sues OpenAI over claims of prioritizing profit over public interest in developing AGI tech.
  2. OpenAI responds to Musk's legal action, highlighting their commitment to building widely-available AI tools for various sectors like healthcare and language preservation.
  3. Significant advancements in AI technology include Anthropic's introduction of the Claude 3 Model Family and OpenAI's new feature allowing ChatGPT responses to be read aloud.

#34

The Nibble 12 implied HN points 19 Nov 23
  1. OpenAI is working on GPT-5 and aims for AGI - artificial general intelligence.
  2. Google introduces new multimodal model Mirasol, surpassing their 80B Flamingo model.
  3. Apple plans to support RCS messages from Android phones next year.
The Gradient 20 implied HN points 11 Apr 23
  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.
AI Brews 17 implied HN points 12 May 23
  1. Anthropic's AI chatbot Claude can now handle 100K tokens and outperforms in complex question synthesis
  2. Stability AI released a Stable Animation SDK for creating animations from text or inputs like images or videos
  3. Airtable launched Airtable AI allowing users to utilize AI in workflows without coding, such as auto-categorizing feedback
Year 2049 6 implied HN points 16 Feb 24
  1. OpenAI and Google are continuously surprising with new AI advancements like Gemini 1.5 Pro and Sora.
  2. Google's Gemini 1.5 Pro features a 1 million token context window and uses innovative architecture for improved performance.
  3. OpenAI's Sora introduces text-to-video capabilities with impressive video generation but still faces challenges in certain scenarios.

#35

The Nibble 7 implied HN points 26 Nov 23
  1. Facebook expressed involved in their AI chips business.
  2. OpenAI released ChatGPT with voice available for all free users.
  3. Bill Gates suggests AI advancement may lead to a 3-day work week.
ScaleDown 11 implied HN points 07 Jun 23
  1. Before Transformers like the Transformer model, RNNs and CNNs were commonly used for sequence data but had their limitations.
  2. Tokenization is a crucial step in processing data for models like LLMs, breaking down sentences into tokens for analysis.
  3. The introduction of the Transformer model in 2017 revolutionized NLP with its attention mechanism, impacting how tokens are weighted in context.
Economic Forces 7 implied HN points 05 Oct 23
  1. Price theory focuses on analyzing how real world agents arrive at agreeable prices through a process of exchange.
  2. Price theory emphasizes that competition is omnipresent and considers how firms strategically respond to rivals in a competitive context.
  3. Prices coordinate economic behavior across markets, carry important information, and contribute to resolving the coordination problem through mechanisms beyond price changes.