GeoGuessing with Deep Learning
Applying photo geolocation estimation to the game of GeoGuessr.
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 6,335 posts.
Applying photo geolocation estimation to the game of GeoGuessr.
Posted by Sandro Feuz and Pedro Gonnet, Senior Software Engineers, Handwriting Team In 2015 we launched Google Handwriting Input, which enabled u...
You may already be aware of John Baez’s “Crackpot Index” , which provides a simple tongue-in-cheek scoring system for assessing whether a research contribution to physics is likely “revolutionary.” The list contain such gems as “40 points for comparing yourself to Galileo, suggesting that a modern-day Inquisition is…
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Ever wondered how an Anti Aircraft Missile works? A plane can move at different speeds and altitudes, so how do you know when to fire your missile? Well you need to know two things: where the aircr…
An interactive visualization — based on the Acquired Google Podcast Credits to Ben and David (who also appreciated this graph in the Acquired internal Slack!).
We love data, big and small and we are always on the lookout for interesting datasets. Over the last two years, the BigML team has compiled a long list of sources of data that anyone can use. It…
Gaussian Processes have a mystique related to the dense probabilistic terminology that's already evident in their name. But Gaussian Processes are just models, and they're much more like k-nearest neighbors and linear regression than may at first be apparent.
Reproducibility is an essential requirement for many fields of research including those based on machine learning techniques. However, many machine learning publications are either not reproducible or are difficult to...
Principal software engineer with deep experience in full-stack TypeScript, custom web browsers and real-time, media-focused systems.
With this write-up, I want to outline my current thinking around large language models like OpenAI's chatGPT.
I feel like half of my social media feed is composed of AI grifters saying software developers are not going to make it. Combine that sentiment with some economic headwinds and it's easy to feel like we're all screwed. I think that's bullshit. The best days of our industry lie ahead.
In this essay, I will perform the logical fallacy of argument from authority (wikipedia.org) to attack the notion that large language model (LLM)-based generative "AI" systems are capable of doing the work of human programmers.
Six AI assistants pursued an impossible £350 train refund in a simulated world, escalating to government officials, legal clinics and bank chargebacks.
Microsoft GitHub released CoPilot last year, a tool for generating code and auto-completion, that’s been trained on vast amount of open source code, notably all open source code hosted on Git…
Showcasing Hirundo’s bias unlearning capabilities on DeepSeek-R1-Distill-Llama-8B, reducing its biases up to 76% compared to original performance.
RTX Video HDR — first announced at CES — is now available for download through the January Studio Driver.
This was an unusually hard post to write, because it flies in the face of everything else going on.
...also don't tell lies. But I'm getting ahead of myself already. I keep running into people online who openly say that they use AI to do their writing for t
ChatGPT is really good at roleplaying as strange and unusual characters with minimal prompting.
Please let's stop predicting the future of A.I.
I’ve been at OpenAI for almost a year now. In that time, I’ve trained a lot of generative models. More than anyone really has any right to train. As I’ve spent these hours observing the effects of tweaking various model configurations and h
Scaling reinforcement learning, tracing circuits, and the path to fully autonomous agents