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For AI leaders Doom is a form of hype
Why AI doom rhetoric from Anthropic, OpenAI and other tech leaders functions as hype, regulatory strategy, and a distraction from present harms.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,331 posts.
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The Unreliability of LLMs and What Lies Ahead
The Unreliability of LLMs & What Lies Ahead
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I tried coding with AI, I became lazy and stupid
Robots won't replace me, but another human probably will.
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Android users can now use conversational editing in Google Photos
We’re expanding the ability to edit your images by simply asking in Google Photos to Android devices.
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The State of AI Coding Report 2025
Read the full Q2 2026 research report, explore the chart data, and download the PDF for free.
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Everyone is building LLM routers, we deprecated ours
We don't believe in model routing anymore. For most use cases, sticking to a single battle-tested model is the best thing you can do.
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Announcing the Pollen API
Introducing new AI-powered products and tools from Google Maps Platform. Learn more
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GPT 5.6 Cyber
Meet GPT-5.6-Cyber, OpenAI’s cybersecurity-specific model available through Daybreak Red for authorized vulnerability research, exploit validation, and security testing.
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Optimizing Siri on HomePod in Far‑Field Settings
The typical audio environment for HomePod has many challenges — echo, reverberation, and noise. Unlike Siri on iPhone, which operates close…
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The near future of AI is action-driven
…and it will look a lot like AGI. LLMs can become extremely powerful by leveraging external cognitive assets and choosing actions.
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Using a LLM to compress text
Introduction Large language models are trained on huge datasets of text to learn the relationships and contexts of words within larger documents. These relationships are what allows the model to generate text. Recently I've read concerns about LLMs being trained on copyrighted text and reproducing it. This got me…
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Computer program fixes old code faster than expert engineers
Computer scientists at MIT have developed a program called Helium that can automatically revamp and fine-tune old code, without needing the original source, in a matter of hours or even minutes.
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Sequential modeling enables scalable learning for large vision models
We introduce a novel sequential modeling approach which enables learning a Large Vision Model ( LVM ) without making use of any linguistic data. To do this, we define a common format, "visual sentences", in which we can represent raw images and videos as well as annotated data sources such as semantic segmentations…
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The current balance of power in open models
The expanded form of a testimony I prepared for Congress.
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The convolution empire strikes back
ConvNets Match Vision Transformers at Scale
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Intel Unveils Strategy for State-Of-the-Art Artificial Intelligence
Intel Newsroom delivers the latest news, announcements, and updates. Stay informed on Intel innovations.
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Using proxies to hide secrets from Claude Code
How to use HTTP proxies to prevent credential exposure in Claude Code sandboxes.
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SubQ 1.1 Small
Subquadratic is a frontier AI research and infrastructure company building a new class of LLMs.
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Microsoft OCR Library for Windows Runtime
This blog was written by Jelena Mojasevic, Program Manager at Microsoft. We are pleased to announce that Microsoft OCR Library for Windows Runtime has been released as a NuGet package. The library empowers you to easily add text recognition capabilities in your Windows Phone 8/8.1 and Windows 8.1 Store apps. OCR…
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AI and Blockchain: An Introduction
At the kind invitation of Rob May and the Botchain team, I had the opportunity recently to keynote Brains and Chains, an interesting conference in New York expl
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SceneScript, a novel approach for 3D scene reconstruction
Today, we’re introducing SceneScript, a novel method for reconstructing environments and representing the layout of physical spaces.
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Introduction to Apple WatchKit with Core Motion – Tracking Jumping Jacks
Like many developers exploring the world of wearables, I’m an avid fan of apps that track your exercise. Companies like Strava & Runkeeper have paved the way for what we can do with motion and health data, creating new and… Continue reading Introduction to Apple WatchKit with Core Motion — Tracking Jumping Jacks
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Building a Program Synthesizer
Build a program synthesis tool, to generate programs from specifications, in 20 lines of code using Rosette.
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Learning with Privacy at Scale
Understanding how people use their devices often helps in improving the user experience. However, accessing the data that provides such…
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Improving Deep Learning Performance with AutoAugment
Posted by Ekin Dogus Cubuk, Google AI Resident and Barret Zoph, Research Scientist, Google Brain Team The success of deep learning in computer vi...