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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
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 3,242 posts.
3182
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...
3185
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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We are changing our developer productivity experiment design
Our second developer productivity study faces selection effects from wider AI adoption, prompting us to redesign our approach.
3188
Wolfram|Alpha Is Coming
A computational knowledge engine accessing trillions of pieces of curated data and millions of lines of algorithms will soon be released by Wolfram Research.
3189
Code Mode: the better way to use MCP
It turns out we've all been using MCP wrong. Most agents today use MCP by exposing the "tools" directly to the LLM. We tried something different: Convert the MCP tools into a TypeScript API, and then ask an LLM to write code that calls that API. The results are striking.
3190
Block AI bots, scrapers and crawlers with a single click
To help preserve a safe Internet for content creators, we’ve just launched a brand new “easy button” to block all AI bots. It’s available for all customers, including those on our free tier
3191
Google Instant, behind the scenes
Insights from Googlers into our products, technology, and the Google culture
3192
A Personal Perspective on Machine Learning
Having a bit of history as both a user of machine learning and a researcher in the field I feel I have developed a useful perspective on the various trends, flavors and nuances in machine learning …
3193
Detecting and Preventing Distillation Attacks
We identified coordinated distillation attacks using ~24,000 fraudulent accounts to extract Claude's capabilities.
3194
How Claude's text watermarking works
Future Claude models will generate text that contains a watermark to comply with the EU AI Act. We answer questions about how it works and whether it affects outputs.
3195
OpenJDK Interim Policy on Generative AI
The field of generative AI is evolving quickly. It brings compelling opportunities to improve developer productivity, but it also brings risks: to reviewer burden, to safety and security, and to intellectual property.
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Due to concerns about malicious applications, GPT2 will not be released (2019)
We’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine translation, question answering, and summarization—all without task-specific training.
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Named Tensors
Named tensors for better deep learning code.
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Netflix prize competitor: With the best algorithms, metadata becomes worthless
Movie data. Most of the top teams competing in the netflix challenge must have had to answer a lot of questions about movie data. Here is an...
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Attacking Machine Learning with Adversarial Examples
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Aligning Language Models to Follow Instructions
We’ve trained language models that are much better at following user intentions than GPT-3 while also making them more truthful and less toxic, using techniques developed through our alignment research. These InstructGPT models, which are trained with humans in the loop, are now deployed as the default language models…
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How the voices for ChatGPT were chosen
How the voices for ChatGPT were chosen We worked with industry-leading casting and directing professionals to narrow down over 400 submissions before selecting the 5 voices.
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Fleet response: Lending a helpful hand to Waymo’s autonomously driven vehicles
The Waymo Driver autonomously navigates tens of thousands of rider-only miles across San Francisco, Phoenix, Los Angeles, and Austin daily. It can navigate common scenarios, like adhering to a crossing guard directing traffic, as well as more unique interactions like avoiding a swerving vehicle. As the Waymo Driver…
3205
A letter from Sam & Jony
Building a family of AI products for everyone.
3206
Task-Completion Time Horizons of Frontier AI Models
Our measurements of the time horizons for public frontier language models.
3207
DeepMind AI Reduces Google Data Centre Cooling Bill by 40%
Reducing energy usage has been a major focus for us over the past 10 years: we have built our own super-efficient servers at Google, invented more efficient ways to cool our data centres and invested heavily in green energy sources, with the goal of being powered 100 percent by renewable energy.
3208
Key findings about how Americans view artificial intelligence
Drawing on five years of Pew Research Center surveys, here are 13 findings about how Americans use and view AI, and where they see promise and risk.
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Scaling AI for everyone
Today we’re announcing $110B in new investment at a $730B pre money valuation. This includes $30B from SoftBank, $30B from NVIDIA, and $50B from Amazon.
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Hey Siri: An On-device DNN-powered Voice Trigger for Apple’s Personal Assistant
The “Hey Siri” feature allows users to invoke Siri hands-free. A very small speech recognizer runs all the time and listens for just those…