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Towards Self-Driving Codebases
We're post-tokenmaxxing. What are we pre-? How do we get there?
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,335 posts.
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Don't Build Multi-Agents
Frameworks for LLM Agents have been surprisingly disappointing. I want to offer some principles for building agents based on our own trial & error, and…
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Why TinyML is still so hard to get excited about
This week, I went to the tinyML Summit in Burlingame, Calif. TinyML, or running small machine learning models on constrained devices, is one of the most exciting technologies I’ve encountered. But it’s also the one most likely to put people to sleep when I talk about it. Using local computing to handle object or even…
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The AI industry is pouring millions into US elections
Plus: Fiery resistance to a nuclear AI data center and A24's Google debacle. Welcome to the first episode of BLOOD IN THE MACHINE: THE SHOW, with the great AI and crypto watchdog, Molly White.
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What I learned using private LLMs to write an undergraduate history essay
I used private and public LLMs to answer an undergraduate essay question I spent a week working on nearly 30 years ago, in an effort to see how the experience would have changed in that time. There were two rules:
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Scientists begin building highly accurate digital twin of our planet
A digital twin of our planet is to simulate the Earth system in future. It is intended to support policy-makers in taking appropriate measures to better prepare for extreme events. A new strategy paper by European scientists and ETH Zurich computer scientists shows how this can be achieved.
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The Sky's the limit: AI automation on Mac
I’ve been sitting on this draft for a few days now, partly because I thought it would turn down the bitterness, and partly because I kept asking myself ...
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Mayo Clinic to partner with Google
Google Cloud will be at the cornerstone of Mayo Clinic’s digital transformation as it looks to the cloud to enhance patient and clinician experiences, improve diagnostics and patient outcomes, and expand its unparalleled clinical research.
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AI and Open Source in 2023
The Highs and Lows: A Year in Review
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How outdated information hides in LLM token generation probabilities
Random tech notes
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Google Home now supports multiple users
We’re adding the ability for multiple people to connect their account to one Google Home. So now with the Google Assistant you can hear your commute time, your daily bri…
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Llama 3 feels significantly less censored than its predecessor
Compared to Llama 2, Llama 3 feels much less censored. Meta has substantially lowered false refusal rates. Llama 3 will refuse less than 1/3 of the prompts previously refused by Llama 2.
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StableLM Zephyr 3B
StableLM Zephyr 3B is a new chat model representing the latest iteration in our series of lightweight LLMs, preference tuned for instruction following and Q&A-type tasks.
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Reaching new records in speech recognition
IBM Watson Speech to Text converts audio into accurate text, enabling real-time transcription, captions and insights with scalable AI APIs.
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Visual Studio’s IntelliSense list can now steer GitHub Copilot code completions
GitHub Copilot in Visual Studio now works with IntelliSense. v1.85 or above is needed, users may need to manually update.
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Can LLMs model real-world systems in TLA+?
Editors’ note: AI has been actively pushing the frontier of applied formal methods for computing systems. In this article, the Specula team wrote about their experience of evaluating LLMs on modeling system code, the basic capability for agentic model checking, using TLA+, a specification language f
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Batch computing and the coming age of AI systems
There’s a lot of excitement right now about human-in-the-loop systems supercharged by foundation models including chat assistants ( ChatGPT ), word processing ( Microsoft Office ), graphic design ( Stable Diffusion ), and code editing ( Copilot ). However, these systems only begin to scratch the surface of the role…
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Fireside Chat with Clem Delangue, CEO of Hugging Face
We discuss Hugging Face, Open Source, and AI
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A LLM+OLAP Solution
The exploration of a LLM+OLAP solution is a bumpy journey, but phew, it now works well for the Tencent case, and they're writing down every lesson learned to share with you.
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Deep Learning vs. Probabilistic Graphical Models vs. Logic
A Blog about Deep Learning, Computer Vision, and the algorithms that are shaping the future of Artificial Intelligence.
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MK1 Flywheel Unlocks the Full Potential of AMD Instinct for LLM Inference
AMD acquires MK1, welcoming their world-class team and marking another key milestone in our strategy to advance AI performance and efficiency.
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Agentic Monitoring
Agents are structurally well suited to monitoring production systems.
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The History of Machine Learning in Trackmania
Trackmania: the world's most competitive racing game. In this post, we begin our journey towards training a neural network to superhuman performance, by chronicling the history of previous attempts.
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Understanding Convolutions in Probability
In this post we take a look a how the mathematical idea of a convolution is used in probability. In probability a convolution is a way to add two random variables. Using a slightly ridiculous, mad-science, example we walk through multiple way to compute a convolution and ultimate arrive at the formu