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"Superintelligence" 10 years later
10 years on, some things have changed and some did not
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,337 posts.
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The AI war and how to win it
The battle for the future of the world
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Why Alexa won't wake up when hearing "Alexa" in Amazon's Super Bowl ad (2019)
This Sunday's Super Bowl between the New England Patriots and the Los Angeles Rams is expected to draw more than 100 million viewers, some of whom will have Alexa-enabled devices within range of their TV speakers. When Amazon's new Alexa ad airs, and Forest Whitaker asks his Alexa-enabled electric…
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An interview with Steve Wozniak by Jessica Livingston cured my AI anxiety
Note: there's no hidden knowledge contained in this post, it's just a reflection on how reading someone's reaction to an analogous situation...
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CPUs Aren't Dead. Gemma2B Out Scored GPT-3.5 Turbo on Test That Made It Famous
Gemma 2B scored ~8.0 on MT-Bench. GPT-3.5 Turbo scored 7.94. An 87-times-smaller model on a laptop CPU, no GPU anywhere in the stack. We published the full tape — every question, every turn, every score — so anyone can verify it. We found seven failure classes. Not hallucinations. Specific patterns: arithmetic where…
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Docker Model Runner
Docker Model Runner is a faster, simpler way to run and test AI models locally, right from your existing workflow.
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An Intuitive Explanation of Bayes' Theorem
Bayes’ Theorem for the curious and bewildered; an excruciatingly gentle introduction.
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Grok Build
Now in early beta for all SuperGrok and X Premium Plus subscribers — Grok Build is a new coding agent that runs right from your terminal.
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Beyond Recall and the Illusion of Competence
The important question about AI-assisted programming isn't who writes the code. It's who understands the system.
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I Use Cline for AI Engineering
An assessment after evaluating the landscape
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Satellites Spotting Depth
Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More...
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Music Language Modeling with Recurrent Neural Networks
Great prices on a large selection of domains. Find the pefect domain for your new startup.
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Building unorthodox deep learning GPU machines
Today, I’m going to write a bit about our GPU cluster machine we call cogito at Driveline Baseball. I’m going to timebox these blog posts so I get them out and also save my sanity, so t…
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Defense Against AI-Guided Traffic Analysis (Daita)
Even if you have encrypted your traffic with a VPN (or the Tor Network), advanced traffic analysis is a growing threat against your privacy. Therefore, we now introduce DAITA.
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Automating Interactive Fiction Logic Generation with LLMs in Emacs
From the creator of Ten Dollar Adventure, a blog about the experience of writing the book, being a parent, navigating the entrepreneurial high seas, and learning.
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Visualizing Neural Networks
A visual example-focused introduction to neural networks.
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GitHub Models: A new generation of AI engineers building on GitHub
We are enabling the rise of the AI engineer with GitHub Models – bringing the power of industry leading large and small language models to our more than 100 million users directly on GitHub.
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The future of artificial intelligence is self-organizing and self-assembling
This is the first post in a series I plan to write on the work from our group and others that combines ideas from deep learning with ideas from self-organization and collective systems. In this first post, we’ll look at some of the developed approaches and the domains they have…
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Using machine learning to estimate lost demand in a fulfillment chain
How Instacart uses Machine Learning to spot lost demand in its fulfillment chain
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AI Meets Cryptography 2: What AI Found in OpenVM's ZkVM
We turned zkao (our AI auditor) on OpenVM, a state-of-the-art zkVM, and it found a critical soundness bug: the pairing check accepted a prover-supplied witness without proper subfield checking, which lets a malicious prover forge any pairing equality. It is fixed in OpenVM 1.6.0 and tracked as CVE-2026-46669. This is…
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Our Hybrid lda2vec Algorithm
The goal of lda2vec is to make volumes of text useful to humans (not machines!) while still keeping the model simple to modify. It learns the powerful word r...
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Recognize Digits Using ML in Elixir
Machine learning allows you to solve once unimaginable problem. Elixir's support for machine learning through Nx and Axon let us do impressive thing while staying in our favorite language.
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The Scaling Hypothesis (2021)
On GPT-3: meta-learning, scaling, implications, and deep theory. The scaling hypothesis: neural nets absorb data & compute, generalizing and becoming more Bayesian as problems get harder, manifesting new abilities even at trivial-by-global-standards-scale. The deep learning revolution has begun as foretold.
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Generating code from natural language is closer than you think
Articles by Stephen Wolfram covering artificial intelligence, computational science and computational thinking, data science, education, future and historical perspectives, sciences, software design, technology, Wolfram products, more.