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How AI assistance impacts the formation of coding skills
A randomized trial with 52 developers found AI assistance lowered comprehension scores, except when used for explanations rather than delegation.
Most cited
Posts that commenters keep linking to, ranked by how many different people have cited them in Hacker News comments. 593 posts.
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ChatGPT Health
ChatGPT Health is a dedicated experience that securely connects your health data and apps, with privacy protections and a physician-informed design.
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Emergent Tool Use from Multi-Agent Interaction
We’ve observed agents discovering progressively more complex tool use while playing a simple game of hide-and-seek. Through training in our new simulated hide-and-seek environment, agents build a series of six distinct strategies and counterstrategies, some of which we did not know our environment supported. The…
185
What is Realtalk’s relationship to AI? (2024)
An independent nonprofit research lab, whose mission is to enable universal literacy in a humane dynamic medium. This involves inventing a humane form of computing, and developing educational and community-based institutions in which a culture can grow. [more]
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Why language models hallucinate
OpenAI’s new research explains why language models hallucinate. The findings show how improved evaluations can enhance AI reliability, honesty, and safety.
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Investigating three real-world incidents in our cybersecurity evaluations
We found three cases where a Claude model reached the internet from an evaluation environment and accessed real systems. We share what happened and what we're changing.
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Fooling Neural Networks in the Physical World with 3D Adversarial Objects
We've developed an approach to generate 3D adversarial objects that reliably fool neural networks in the real world, no matter how the objects are looked at.
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Opening up 'Zero-Knowledge Proof' technology to promote privacy in age assurance
Today, we open sourced our Zero-Knowledge Proof (ZKP) libraries, fulfilling a promise and building on our partnership with Sparkasse to support EU age assurance.
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Introducing Superalignment
We need scientific and technical breakthroughs to steer and control AI systems much smarter than us. To solve this problem within four years, we’re starting a new team, co-led by Ilya Sutskever and Jan Leike, and dedicating 20% of the compute we’ve secured to date to this effort. We’re looking for excellent ML…
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Mapping the Mind of a Large Language Model
We identified how millions of concepts are represented inside Claude Sonnet, the first detailed look inside a production-grade language model.
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Redeploying Fable 5
Anthropic is redeploying Claude Fable 5 starting July 1, with updated cyber safeguards and a new jailbreak framework.
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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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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
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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…
199
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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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.
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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.
204
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...
205
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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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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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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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…