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Mozilla releases local machine translation tools as part of Project Bergamot
In January of 2019, Mozilla joined the University of Edinburgh, Charles University, University of Sheffield and University of Tartu as part of a project fu
Most cited
Posts that commenters keep linking to, ranked by how many different people have cited them in Hacker News comments. 1,015 posts.
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No, it doesn't cost Anthropic $5k per Claude Code user
The viral claim that Anthropic loses $5,000 per Claude Code subscriber doesn't survive basic scrutiny. Let's do the actual maths.
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OpenVoice: Versatile instant voice cloning
Discover OpenVoice: Instant voice cloning technology that replicates voices from short audio clips. Supports multiple languages, emotion and accent control, and cross-lingual cloning. Efficient and cost-effective, outperforming commercial APIs. Explore the future of AI voice synthesis.
485
The GPT Architecture, on a Napkin
There are so many brilliant posts on GPT-3, demonstrating what it can do , pondering its consequences , vizualizing how it works . With all these out there, it still took a crawl through several papers and blogs before I was confident that I had grasped the architecture.
486
Prompt injection: what’s the worst that can happen?
Activity around building sophisticated applications on top of LLMs (Large Language Models) such as GPT-3/4/ChatGPT/etc is growing like wildfire right now. Many of these applications are potentially vulnerable to prompt …
487
Creating a Modern OCR Pipeline Using Computer Vision and Deep Learning
Dash knows your context, your team, and your work, so your team can stay organized, easily find and share knowledge, and keep projects secure, all from one place.
488
The Agent2Agent Protocol (A2A)
Explore A2A, Google's new open protocol empowering developers to build interoperable AI solutions.
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Cerebras Code
We are launching two new plans designed to make AI coding faster and more accessible: Cerebras Code Pro ($50/month) and Code Max ($200/month). Both plans give you access to Qwen3-Coder , the world’s leading open-weight coding model—running at speeds of up to 2,000 tokens per second , with a 131k-token context window …
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Anthropic raises $30B in Series G funding at $380B post-money valuation
Anthropic raised $30 billion, led by GIC and Coatue, with run-rate revenue of $14 billion and 500+ customers spending over $1 million annually.
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Can LLMs learn from a single example?
We’ve noticed an unusual training pattern in fine-tuning LLMs. At first we thought it’s a bug, but now we think it shows LLMs can learn effectively from a single example.
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Breaking the spell of vibe coding
Sinister variations on the positive state of flow
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Image Scaling Attacks
This post is part of a series about machine learning and artificial intelligence. Click on the blog tag “huskyai” to see related posts. Overview: …
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Crossing the uncanny valley of conversational voice
Voice is our most intimate medium as humans. At Sesame, we are creating conversational partners that achieve voice presence—the quality that makes spoken interactions feel real, understood, and valued.
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How University Students Use Claude
AI systems are no longer just specialized research tools: they’re everyday academic companions. As AIs integrate more deeply into educational environments, we need to consider important questions about learning, assessment, and skill development. Until now, most discussions have relied on surveys and controlled…
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Updates to GitHub Copilot interaction data usage policy
From April 24 onward, interaction data from Copilot Free, Pro, and Pro+ users will be used to train and improve our AI models unless they opt out.
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Why I Left Google DeepMind
I fought against Google’s Pentagon AI deal from the inside. Powerful people and institutions failed to keep their AI ethics promises under pressure.
498
Opus 1.5 released: Opus gets a machine learning upgrade
This 1.5 release is unlike any of the previous ones. It brings many new features that can improve quality and the general audio experience. That is achieved through machine learning. Although Opus has included machine learning — and even deep learning — before (e.g. for speech/music detection ), this is the first time…
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How HBO’s Silicon Valley Built “Not Hotdog” with TensorFlow, Keras and React Native
How we beat the state of the art to build a real-life A.I. app.
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Releasing weights for FLUX.1 Krea
Krea announces the open release of FLUX.1 Krea, including model weights, training details, and resources to run and fine-tune the model.
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Video generation models as world simulators
We explore large-scale training of generative models on video data. Specifically, we train text-conditional diffusion models jointly on videos and images of variable durations, resolutions and aspect ratios. We leverage a transformer architecture that operates on spacetime patches of video and image latent codes. Our…
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AI: Markets for Lemons, and the Great Logging Off
What happens when most "people" you interact with on the internet are fake?
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AI and Compute
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Concerning behavior from a popular open-weight AI model
Discover how untrusted open-weight AI models can potentially leak data, even when self-hosted. Learn the security risks and how to protect your enterprise.
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100x defect tolerance: How we solved the yield problem
Cerebras powers the world's fastest AI inference on the biggest wafer chip. Cerebras CS-4 delivers up to 30x faster inference than GPUs.
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Open Euro LLM: Open LLMs for Transparent AI in Europe
A series of foundation models for transparent AI in Europe
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Gaussian splatting is pretty cool
SIGGRAPH 2023 just had a paper “ 3D Gaussian Splatting for Real-Time Radiance Field Rendering ” by Kerbl, Kopanas, Leimkühler, Drettakis, and it looks pretty cool! Check out their website, source code repository, data sets and so on (I should note that it is really, really good to see full source and full data sets…
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Principal Component Analysis Explained Visually (2015)
Principal component analysis (PCA) is a technique used to emphasize variation and bring out strong patterns in a dataset. It's often used to make data easy to explore and visualize.
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How AlphaChip transformed computer chip design
Our AI method has accelerated and optimized chip design, and its superhuman chip layouts are used in hardware around the world. AlphaChip was one of the first reinforcement learning approaches used to solve a real-world engineering problem. It generates superhuman or comparable chip layouts in hours, rather than weeks…