davewiner's subscription list, hackerNewsStars category. List created by feedlandDatabase v0.9.3.
Who will take over for us if we don't train the next generation to replace us? A critique of craft, AI, and the legacy of human expertise.
Pluralistic: Daily links from Cory Doctorow
• Cory Doctorow
Onze maatschappij en overheden draaien in steeds grotere mate op Amerikaanse clouds, en we maken ons hier nu terecht zorgen over. Als we dit op willen lossen zullen er meer en betere Europese producten moeten gaan komen. En vervolgens moeten we die ook nog gaan kopen, en niet makkelijk weer voor dezelfde VS big tech spullen kiezen. Wordt hard werken allemaal. En niemand houdt van hard werken, en dus springt iedereen vol enthousiasme op ieder bericht dat er een makkelijkere oplossing gevonden is.
Here's a tip that works on YouTube and almost any other web page that shows you a video. You can increase the playback rate beyond the usually-exposed 2x by running this in your browser DevTools console:
document.querySelector('video').playbackRate = 2.5
I find this is the fastest I can reasonably watch most videos at, with subtitles on to help my comprehension - it turns a 40 minute video into just 16 minutes, short enough that I don't feel too guilty taking time off whatever else I'm doing to watch it!
Tags: youtube, video, javascript
DYNOMIGHT
• dynomight
does AI know what we want?
I continue to have fun running fantasy cooking prompts through LLMs - this time I tried "Give me a wildly ambitious recipe for zucchini cooked three ways" followed by "Go more ambitious" and now I need to get myself a centrifuge to help spherify my clarified zucchini consommé.
Tags: llms, cooking, ai, generative-ai
Radiology has embraced AI enthusiastically, and the labor force is growing nevertheless. The augmentation-not-automation effect of AI is despite the fact that AFAICT there is no identified "task" at which human radiologists beat AI. So maybe the "jobs are bundles of tasks" model in labor economics is incomplete. [...]
Can you break up your own job into a set of well-defined tasks such that if each of them is automated, your job as a whole can be automated? I suspect most people will say no. But when we think about other people's jobs that we don't understand as well as our own, the task model seems plausible because we don't appreciate all the nuances.
Tags: ai-ethics, careers, ai, arvind-narayanan
Pluralistic: Daily links from Cory Doctorow
• Cory Doctorow
They poison their own context. Maybe you can call it context rot, where as context grows and especially if it grows with lots of distractions and dead ends, the output quality falls off rapidly. Even with good context the rot will start to become apparent around 100k tokens (with Gemini 2.5).
They really need to figure out a way to delete or "forget" prior context, so the user or even the model can go back and prune poisonous tokens.
Right now I work around it by regularly making summaries of instances, and then spinning up a new instance with fresh context and feed in the summary of the previous instance.
— Workaccount2 on Hacker News, coining "context rot"
Tags: long-context, llms, ai, generative-ai
I counted all of the yurts in Mongolia using machine learning
Fascinating, detailed account by Monroe Clinton of a geospatial machine learning project. Monroe wanted to count visible yurts in Mongolia using Google Maps satellite view. The resulting project incorporates mercantile for tile calculations, Label Studio for help label the first 10,000 examples, a model trained on top of YOLO11 and a bunch of clever custom Python code to co-ordinate a brute force search across 120 CPU workers running the model.Via Hacker News
Tags: machine-learning, geospatial, ai, python
Pluralistic: Daily links from Cory Doctorow
• Cory Doctorow
That memvid thing that's been going around recently is a trap. It's an embedding store that records the original text that has been embedded in QR codes in a video file. That's an absurd thing to do, and the only purpose of the repo is to make people who uncritically share it look foolish. Don't fall for the trap.
Tags: jokes
