The hottest Models Substack posts right now

And their main takeaways
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Top Business Topics

Ground-truth-in-the-loop

Yuxi’s Substack • 19 implied HN points • 18 Jul 23
🕹 Technology Models
  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.

The RLHF battle lines are drawn

Democratizing Automation • 139 implied HN points • 27 Feb 23
🕹 Technology Models
  1. Big companies lead in RLHF space and focus on protecting their advantage.
  2. Open-source companies are behind but trying to catch up, facing challenges in resources and legalities.
  3. Corporate communication about safety is strategic, and lack of model release can lead to trust issues.
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Thinking through Linear With Threshold

Gordian Knot News • 65 implied HN points • 02 Mar 24
🔬 Science Models
  1. Linear No Threshold (LNT) is criticized for over-predicting harm in low dose rate situations like nuclear power plant releases.
  2. Linear With Threshold (LWT) models have variations where the threshold is on dose or dose rate.
  3. LWT models, although an improvement, still have flaws in considering the repair period after radiation exposure.

GPT-4 invalidates the Turing test

Gray Mirror • 110 implied HN points • 13 Apr 23
🕹 Technology Models
  1. Large language models like GPT-4 are not AI, but they are powerful tools that connect patterns and rely on intuition.
  2. The Turing test is not a valid test for AGI, as machines like LLMs can invalidate it by excelling in certain tasks while lacking in others.
  3. Understanding the difference between general and special intelligence is key to not overestimating the capabilities of tools like GPT-4.

AI Roundup 054: Ten million tokens

Artificial Ignorance • 58 implied HN points • 16 Feb 24
🕹 Technology Models
  1. Google introduces Gemini 1.5, a powerful model with a context window of up to 10 million tokens, promising significant improvements in AI capabilities.
  2. OpenAI releases Sora, a text-to-video model that can create photorealistic videos and simulate the real world, showcasing advancements in video generation technology.
  3. US Patent and Trademark Office states that AI cannot be named as a patent inventor, aligning AI with being a tool and not a creative entity, impacting patent regulations and inventorship.

Accessible Computational Chemistry

The Polymerist • 99 implied HN points • 11 Apr 23
🔬 Science Models
  1. Developing custom polymer products can be a complex and resource-intensive process.
  2. Utilizing computational chemistry tools like Molydyn can streamline modeling and experimentation processes.
  3. The future of polymer chemistry may involve integrating machine learning and AI with experimental data for optimization.

Big Post About Big Context

Gonzo ML • 49 HN points • 29 Feb 24
🕹 Technology Models
  1. The context size in modern LLMs keeps increasing significantly, from 4k to 200k tokens, leading to improved model capabilities.
  2. The ability of models to handle 1M tokens allows for new possibilities like analyzing legal documents or generating code from videos, enhancing productivity.
  3. As AI models advance, the nature of work for entry positions may change, challenging the need for juniors and suggesting a shift towards content validation tools.

AI Roundup 050: Synthetic Geometry

Artificial Ignorance • 54 implied HN points • 19 Jan 24
🕹 Technology Models
  1. A new Google Deepmind model named AlphaGeometry can solve International Math Olympiad problems at a near-gold medalist level.
  2. OpenAI is addressing concerns about AI in worldwide elections by focusing on preventing abuse, transparency of AI content, and improving access to voting information.
  3. Samsung's Galaxy Unpacked event introduced new AI features for Samsung phones, including live translation and AI-powered note organization.

On creativity and language models

Philosophy bear • 50 implied HN points • 15 Feb 24
🔬 Science Models
  1. Creativity involves putting things together in a new way, whether it's useful, thoughtful, beautiful, or admirable. It's all about recombining existing elements.
  2. The level of creativity depends on how new and good something is. Any new sentence can be seen as somewhat creative, but the degree varies.
  3. There doesn't seem to be a definite line between different levels of creativity; they all involve rearrangements of existing elements. It's a spectrum of newness and usefulness.

Open-source reasoning models, OpenAI's Operator, Bytedance's free Cursor alternative, Spell 3D worlds, Smallest VLM, Perplexity Assistant, open-source native GUI agent model, Kling's Elements & more

AI Brews • 17 implied HN points • 24 Jan 25
🕹 Technology Models
  1. DeepSeek released a new open-source reasoning model that performs as well as some of the top AI systems. It's free to use and has a chat feature on their website.
  2. OpenAI launched a new tool called Operator that can do tasks on the web for you, using its own browser to interact with websites directly.
  3. Hugging Face introduced the smallest Vision Language Model, which can answer questions about images. This could be useful for a lot of applications, especially in learning or assisting with image analysis.

Interpretability of theories

Infinitely More • 17 implied HN points • 11 Jan 25
📖 Philosophy Models
  1. You can understand one theory by interpreting it through another theory. This means translating ideas from one set of concepts to another.
  2. Interpreting theories involves a consistent method to show how one theory fits within the framework of another. It connects the ideas and structures from both.
  3. The host theory provides a detailed explanation of how the interpreted theory operates, using only its own language and concepts. This helps clarify the relationships between different theories.

Mutual and bi-interpretation of models

Infinitely More • 17 implied HN points • 14 Dec 24
📖 Philosophy Models
  1. Mutual interpretation means that two models can understand each other. Each model can be explained using the features of the other.
  2. When you interpret one model within another, it creates a loop of understanding. You can go back and forth between the two models, revealing deeper connections.
  3. Bi-interpretability is when both models not only understand each other but are actually related in a stronger way. This offers even more insights into their structure.

Google's reasoning model, New open-source physics AI engine, Odyssey's Explorer, OmniAudio, AI phone calling, FACTS Leaderboard, Meta Apollo, Global Talent Network, Falcon 3, Veo 2,DeepSeek-VL2 & more

AI Brews • 17 implied HN points • 20 Dec 24
🕹 Technology Models
  1. Google has launched a new reasoning model called Gemini Flash Thinking that shows its thoughts, making it better at reasoning. It has top scores on the Chatbot Arena leaderboard.
  2. There is a new open-source physics simulation platform called Genesis that can help with robotics and AI applications by creating detailed, dynamic worlds.
  3. Meta has introduced a family of models called Apollo that can efficiently process long videos, and other companies are also launching new AI tools for audio and video generation.

What We Learnt Building the Largest GPT-Telegram Bot

Nicolas Bustamante • 75 implied HN points • 07 Apr 23
🕹 Technology Models
  1. Chat-based interfaces are the future of the web, making it easier to get answers than traditional browsing.
  2. Large language models like GPT offer a wide range of capabilities, streamlining tasks and boosting productivity.
  3. The cost of using large language models is expected to decrease over time, making advanced AI more accessible.

Why Doesn’t My Model Work?

The Gradient • 36 implied HN points • 24 Feb 24
🔬 Science Models
  1. Machine learning models can sometimes seem good but fail when applied to real-world data due to complexities that cause overfitting without being obvious
  2. Issues with machine learning models are increasingly reported in scientific and popular media, impacting tasks like pandemic response or water quality assessments
  3. Preventing mistakes in machine learning involves using tools like the REFORMS checklist for ML-based science to ensure reproducibility and accuracy

Can We Prevent LLMs From Hallucinating?

Brett DiDonato • 3 HN points • 21 Mar 24
🕹 Technology Models
  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.

I have access to Claude-3 Opus, a (seemingly) considerably more advanced model than GPT-4, ask it anything

Philosophy bear • 28 implied HN points • 05 Mar 24
🕹 Technology Models
  1. Claude-3 Opus is a highly advanced model compared to GPT-4, especially in reasoning capabilities, scoring impressively on GPQA and other tests.
  2. The model's knowledge base is top-notch, performing as well as or better than a graduate student with Google access in specific sciences.
  3. Questions posed to Claude-3 Opus should be challenging, aiming for queries that most people would answer correctly but the model might get wrong, to reveal its strengths and weaknesses.

Leviathan wakes

Gradient Ascendant • 16 implied HN points • 21 Feb 24
🕹 Technology Models
  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.

How the field of "AI" got like this

Apperceptive (moved to buttondown) • 20 implied HN points • 02 Nov 23
🕹 Technology Models
  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.

Edge 379: A Summary Of Our Series About LLM Reasoning

TheSequence • 14 implied HN points • 19 Mar 24
🕹 Technology Models
  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.

reality is unrealistic, take 1

visa's voltaic verses ⚡️ • 24 implied HN points • 17 Jun 23
📖 Philosophy Models
  1. Reality is often unrealistic and doesn't always conform to our expectations.
  2. Being realistic doesn't necessarily mean having an accurate view of reality; it often implies being conservative in approach.
  3. People can get very attached to their models of reality, but it's important to adapt and update them when reality contradicts.

Calude 3 Opus, Train a 70b language model at home, Firewall for AI, Fast 3D Object Generation from Single Images, multimodal foundation model for any-to-any search tasks, and more

AI Brews • 12 implied HN points • 08 Mar 24
🕹 Technology Models
  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.

Intelligence in the World

New World Same Humans • 15 implied HN points • 12 Nov 23
🕹 Technology Models
  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.

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

The Gradient • 20 implied HN points • 11 Apr 23
🕹 Technology Models
  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.

#38

The Nibble • 12 implied HN points • 17 Dec 23
🕹 Technology Models
  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

Open-source is not a panacea

Entry Level Investing • 16 implied HN points • 29 Jun 23
🕹 Technology Models
  1. Open-source AI is gaining momentum and innovation, but it's not a complete solution.
  2. There are ethical concerns with open-source AI models, including safety risks and data security.
  3. Challenges exist in monetizing open-source model businesses and navigating copyright licenses.

#34

The Nibble • 12 implied HN points • 19 Nov 23
🕹 Technology Models
  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.

100K context windows, Stable Animation SDK, Airtable AI, Google's massive AI updates, Transformers Agent and more

AI Brews • 17 implied HN points • 12 May 23
🕹 Technology Models
  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

Overwrought

CTOrly • 1 HN point • 21 Feb 24
🔬 Science Models
  1. In complex situations, sometimes relying on simpler, traditional methods like Newtonian physics can still be effective and get the job done.
  2. Striving for extreme accuracy or perfection, like using Einstein's equations instead of Newton's, may not always be necessary or practical, especially when the outcome is the priority.
  3. It's important to balance between optimizing for the output and focusing on achieving the desired outcome, rather than getting lost in unnecessary details or precision.

Musk’s Legal Drama, OpenAI’s Sassy Comeback, Talk-to-ChatGPT's Special & More

HackerPulse Dispatch • 8 implied HN points • 08 Mar 24
🕹 Technology Models
  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.