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How to scale LLMs better with an alternative to transformers
Monarch Mixer: Revisiting BERT, Without Attention or MLPs
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Using GPT-4 to measure the passage of time in fiction
Large language models are valuable research assistants, especially when they refuse to follow instructions.
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ChatGPT plugins now support Postgres and Supabase
Supabase recently contributed to the OpenAI Retrieval Plugin repo with a Postgres and a Supabase implementation to help developers build ChatGPT plugins using pgvector.
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Replika AI: Your Money or Your Wife
Isn't there somebody you forgot to ask?
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Role-playing with AI will be a powerful tool for writers and educators
Or, how well can GPT-4 simulate an acid trip in 1963?
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Natural language is an unnatural interface
How can we use familiar design patterns to constrain the unwieldy state space of large language models?
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Double Descent in Human Learning
The uncanny resemblance between double descent and a 50 year old theory from psychology
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Workers with less experience gain the most from generative AI
Less-experienced contact center agents become more productive with assistance from generative artificial intelligence, a new study finds.
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Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields
Neural Radiance Field training can be accelerated through the use of grid-based representations in NeRF's learned mapping from spatial coordinates to colors and volumetric density. However, these grid-based approaches lack an explicit understanding of scale and therefore often introduce aliasing, usually in the form…
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Stability AI releases DeepFloyd IF, a powerful text-to-image model
DeepFloyd IF is a state-of-the-art text-to-image model released on a non-commercial, research-permissible license that allows research labs to examine and experiment with advanced text-to-image generation approaches. In line with other Stability AI models, Stability AI intends to release a DeepFloyd
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Is AI killing the stock photo industry? A data perspective
When Stock Performer started in 2010, there were a lot of complaints that the stock industry was dying. The rush of the agencies to implement subscription models, triggered mostly by Shutterstock’s success, led to a lot of uncertainty about photographers’ income. After all, customers were able to buy images for mere…
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AI is just someone else's intelligence
It’s been a long time since I’ve worked in the field of ML (or what some call AI), and we’ve come a long way from simple text classification to what’s being casually called generative AI today. While the technology has made many advances, the foundational concepts of machine learning have remained analogous over time…
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Artificial intelligence just lost a leader
Plus a position-search announcement from NSF Roger Schank just passed away. Roger was a top leader of AI. I overlapped with him for my time at Yale. In 1974, he became a professor of computer scien…
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Debugging a Mixed Python and C Language Stack
Debugging is difficult. Debugging across multiple languages is especially challenging, and debugging across devices often requires a team with varying skill sets and expertise to reveal the underlying…
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Programmer salaries in the age of LLMs
Milky Eggs
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RAG to Riches
Today I will be regaling you with tales of marvelous cherry-picked new developments in AI, from Sam Altman's recent Uno Reverse incident to bear spraying job-hungry engineers.
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Like diffusion but faster: The Paella model for fast image generation
The ability to generate realistic images without waiting would unlock applications from engineering to entertainment and beyond. New work takes a step...
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Weak-to-Strong Generalization
We present a new research direction for superalignment, together with promising initial results: can we leverage the generalization properties of deep learning to control strong models with weak supervisors?
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GPT-4 is not getting worse
GPT-4 may have declined in some areas, but it hasn’t systematically done so. My tests were shit, and never proved much of anything.
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Margaret Mead, technocracy, and the origins of AI's ideological divide
The anthropologist helped popularize both techno-optimism and the concept of existential risk
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Our humble attempt at “how much data do you need to fine-tune”
Efficacy of OpenAI Fine-tuning API, Cost/Latency Considerations, Experiencing Catastrophic Forgetting, and...Getting Roasted by a Fine-tuned GPT-3.5
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The Most Cited AI Papers in 2022
Who Is publishing the most Impactful AI research right now? With the breakneck pace of innovation in AI, it is crucial to pick up some signal as soon as possible. No one has the time to read everything, but these 100 papers are sure to bend the road as to where our AI technology is going. The real test of impact of…
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LLM tech comes to Wolfram Language
Wolfram's Version 13.3 includes a subsystem around LLMs plus new functionality in integrals, special functions, finite fields, computational geometry, live highlighting in visualizations, AR & VR deployment. See examples for those and dozens of other enhancements.
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FlashAttention: Fast Transformer training with long sequences
Transformers have grown deeper and wider, but training them on long sequences remains difficult. The attention layer at their heart is the compute and memory bottleneck: doubling the sequence length would quadruple the runtime and memory requirements.
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