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It started in June 2025 with 11 companies and has now expanded to 30

They are working with the Eclipse Foundation on S-CORE

https://eclipse.dev/score/



The github repo link from the npm page doesn't work, so I guess the author had second thoughts.

I was just fighting ffmpeg earlier today, or rather Gemini and Claude were fighting it. Task: create a video that is a pan across a photo, followed by a scale/zoom.

Probably easy for some people, but I had no clue and the LLMs weren't doing that well either. Things took a turn for the better when I asked Gemini for an alternative tool.

The answer was Vapoursynth - https://www.vapoursynth.com/doc/introduction.html#introducti...

Again, the LLM did the work, but it was able to do so. Since Vapoursynth is driven by python scripts (though with the extension .vpy), it was easy for me to make adjustments.


Methinks thou shouldst tame thine viscera lest they lead thee unto distraction


These were great and I am always on the lookout for something similar, but no luck so far.

I also liked that there was a neckband - easy to take the buds out when not needed and leave them hanging, and of course more power in a larger battery.


It's an interesting list, but I guess the items' thought-terminating power extends to the article itself, since it provides no discussion of why the listed items are there.


This post has the better title, but there is more discussion over at https://news.ycombinator.com/item?id=45861635


King 5: Judge orders police to release surveillance camera data, raising privacy questions (11 points, 10 hours ago, 2 comments) https://news.ycombinator.com/item?id=45857944

Skagit Valley Herald: Court denies request that it find Flock Safety camera data is exempt from Public Records Act (32 points, 1 hours ago, 7 comments) https://news.ycombinator.com/item?id=45861829


Wrong link


with a better headline: "Judge denies request to exempt Flock footage from Public Records Act"


Indeed! Quite interesting.

title: The neural basis for uncertainty processing in hierarchical decision making

abstract: Hierarchical decisions in natural environments require processing uncertainty across multiple levels, but existing models struggle to explain how animals perform flexible, goal-directed behaviors under such conditions. Here we introduce CogLinks, biologically grounded neural architectures that combine corticostriatal circuits for reinforcement learning and frontal thalamocortical networks for executive control. Through mathematical analysis and targeted lesion, we show that these systems specialize in different forms of uncertainty, and their interaction supports hierarchical decisions by regulating efficient exploration, and strategy switching. We apply CogLinks to a computational psychiatry problem, linking neural dysfunction in schizophrenia to atypical reasoning patterns in decision making. Overall, CogLink fills an important gap in the computational landscape, providing a bridge from neural substrates to higher cognition.


Just participated in a hackathon where my team used n8n. We found it didn't have good connectors for getting data from Kinesis streams or Slack. Given the abbreviated timeline of the hackathon we ended up simulating the Kinesis input and dropping the interactive Slack part of our project, which was unfortunate.

I hope they spend a good bit of the $180M on building out their input connectors.


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