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.
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
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.
“One bird was conditioned to turn counter-clockwise about the cage, making two or three turns between reinforcements. Another repeatedly thrust its head into one of the upper corners of the cage. A third developed a 'tossing' response, as if placing its head beneath an invisible bar and lifting it repeatedly. Two birds developed a pendulum motion of the head and body, in which the head was extended forward and swung from right to left with a sharp movement followed by a somewhat slower return.”
“The experiment might be said to demonstrate a sort of superstition. The bird behaves as if there were a causal relation between its behavior and the presentation of food, although such a relation is lacking.”
The thing that this doesn't get is that 10bn a year is basically 70%+ of yearly R&D and inference budget of OpenAI.. so this Nvidia deal is actually great (for OpenAI) in terms of protecting its cashflow
The GPUs do/might lose value over time, but perhaps Nvidia is betting that they wont? Going by recent years, their value went up in some cases.
EDIT: Interesting note
> CPUs historically have 5-10 years of useful life , while GPUs in AI datacenters last 1-3 years in practice , despite 6-year accounting assumptions.30,31 Evidence from Google architects shows GPUs at 60-70% utilization survive 1-2 years , with 3 years maximum.31 Meta’s Llama 3 training experienced 9% annual GPU failure rates , suggesting 27% failure over 3 years.31
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