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Should AI Be Open?
I. H.G. Wells’ 1914 sci-fi book The World Set Free did a pretty good job predicting nuclear weapons:They did not see it until the atomic bombs burst in their fumbling hands…before the l…
Most cited
Posts that commenters keep linking to, ranked by how many different people have cited them in Hacker News comments. 1,015 posts.
332
Something Big Is Happening
A personal note for the non-tech people in my life on what AI is starting to change — why it's moving faster than you think, and what to do about it.
333
OpenAI is a systemic risk to the tech industry
Before we go any further: I hate to ask you to do this, but I need your help — I'm up for this year's Webbys for the best business podcast award. I know it's a pain in the ass, but can you sign up and vote for Better
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AI models may be capable of self-replicating without access to a datacenter
Small AI models may be only months away from being able to self-replicate across cheap IoT devices like Android TV boxes, with no datacenter needed.
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Natural Language Corpus Data: Beautiful Data
Data files are derived from the Google Web Trillion Word Corpus , as described by Thorsten Brants and Alex Franz, and distributed by the Linguistic Data Consortium.
336
The Subprime AI Crisis
None of what I write in this newsletter is about sowing doubt or "hating," but a sober evaluation of where we are today and where we may end up on the current path. I believe that the artificial intelligence boom — which would be better described as a generative AI boom
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GPT-5.6
More intelligence from every token, stronger performance per dollar, and more capability on demand for your hardest work.
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Genie 2: A large-scale foundation world model
Generating unlimited diverse training environments for future general agents
340
AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms
New AI agent evolves algorithms for math and practical applications in computing by combining the creativity of large language models with automated evaluators
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Stable Diffusion with Core ML on Apple Silicon
Today, we are excited to release optimizations to Core ML for Stable Diffusion in macOS 13.1 and iOS 16.2, along with code to get started…
342
Are AI labs pelicanmaxxing?
I generated 1,000+ SVGs across 7 frontier models to test whether AI labs are training on Simon Willison’s pelican-riding-a-bicycle benchmark.
343
The Illustrated Stable Diffusion
Translations: Chinese, Vietnamese. (V2 Nov 2022: Updated images for more precise description of forward diffusion. A few more images in this version) AI image generation is the most recent AI capability blowing people’s minds (mine included). The ability to create striking visuals from text descriptions has a magical…
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GitHub Copilot emits GPL code
Demonstrating that GitHub Copilot trains on non-permissive licenses and cannot filter suggestions properly, while Codeium avoids legal risk.
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A generalist AI agent for 3D virtual environments
Introducing SIMA, a Scalable Instructable Multiworld Agent
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I Taught ChatGPT to Invent a Language
In which ChatGPT and I invent a fictional language spoken by slime-people
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Higher usage limits for Claude and a compute deal with SpaceX
We’ve raised Claude's usage limits and agreed a new compute partnership with SpaceX that will substantially increase our capacity in the near term.
349
An Alien Mind
Jakub Pachocki reflects on increasingly capable AI and the challenge of keeping it aligned. He calls for stronger safeguards and international coordination.
350
Accelerated PyTorch Training on M1 Mac
In collaboration with the Metal engineering team at Apple, we are excited to announce support for GPU-accelerated PyTorch training on Mac. Until now, PyTorch training on Mac only leveraged the...
351
What is a Vector Database? (2021)
Discover Vector Databases: How They Work, Examples, Use Cases, Pros & Cons, Selection and Implementation. They have combined capabilities of traditional databases and standalone vector indexes while specializing for vector embeddings.
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Defamed by ChatGPT
Yesterday, President Joe Biden declared that “it remains to be seen” whether Artificial Intelligence (AI) is “dangerous.” I would beg to differ. I have been writing about th…
353
Olmo 3: Charting a path through the model flow to lead open-source AI
Our new flagship Olmo 3 model family empowers the open source community with not only state-of-the-art open models, but the entire model flow and full traceability back to training data.
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Lawyer cites fake cases invented by ChatGPT, judge is not amused
Legal Twitter is having tremendous fun right now reviewing the latest documents from the case Mata v. Avianca, Inc. (1:22-cv-01461). Here’s a neat summary: So, wait. They file a brief …
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SWE-bench Verified no longer measures frontier coding capabilities
SWE-bench Verified is increasingly contaminated and mismeasures frontier coding progress. Our analysis shows flawed tests and training leakage. We recommend SWE-bench Pro.
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Interaction Models
Interaction models move beyond turn-based AI interfaces by handling multimodal, real-time collaboration natively across audio, video, and text.
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DolphinGemma: How Google AI is helping decode dolphin communication
Dolphin researchers are using Gemma and Google Pixel phones to try to decipher how dolphins talk to one another.
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Teaching GPT-3 to Identify Nonsense
In Giving GPT-3 a Turing Test, Kevin Lacker found that GPT-3 does well answering simple factual questions like “Who was president of the United States in 1955?”, but also happily answered absurd qu…
359
Attacking machine learning with adversarial examples
Adversarial examples are inputs to machine learning models that an attacker has intentionally designed to cause the model to make a mistake; they’re like optical illusions for machines. In this post we’ll show how adversarial examples work across different mediums, and will discuss why securing systems against them…
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Alignment faking in large language models
A paper from Anthropic's Alignment Science team on Alignment Faking in AI large language models