I think youre confusing a religious like belief in capitalism that posits that "greed is good" despite any contra indication with economics, which is a discipline where conjecture is taught as fact and empiricism if frowned upon.
I'm not even going to touch your examples. They are completely illogical? Dell? The Internet?? Thats one company, and a technology.
If you read the wealth of nations, the only real promise of capitalism is that competition lowers prices, and thats why its considered "good" not because it solves all problems. I believe that, the rest is ill-supported conjecture.
To point out the global stupidity that is economics, there is absolutely no consideration for the concept of a constraint. Constraints are a fundamental problem in optimization.
I'm finding this to be true with my experience. Noivces used to be a self solving problem... they got better or gave up.
Now they can present 80% solutions which cause bugs and eat up more experienced devs time. The worst part is they dont build the skills as they program continuing to defer to GenAI
Not a chip CEO, but I read this article and thought that they're working on some kind of application specific chip only for serving models. Similar to how an FPGA can optimize certain tasks.
Given constant weights / biases of a Transformer / DNN you could use pipelining to feed forward calculations through the array one layer at a time. For DNN's with thousands of layers you might see 1:1 speed up per layer channel.
I doubt they would undergo this process for marginal gains.
Data Center providers are buying hardware, not anthropic. Certainly related but alot of the hardware purchased is just sitting in a warehouse waiting for a data center to get built.
How would you expect this dynamic to change considering potentially "consistent" actors in AI / Automation?
How do you imagine companies with staying power will be shaped in the future? Will we see new paradigms in management? ie smaller teams, jack of all trade types of individuals vs specialists, potentially the elimination of middle management all together
Thermal methods require energy, it seems like this substrate is effective at maintaining its solar-thermal absorbing properties better than a material that will attract salts
> Testing their solar-thermal desalination technique using samples of water from the Pacific, Atlantic, and Indian Oceans, Guo and his team were able to make the surface self-cleaning. In other words, it extracted freshwater and directed the remaining salts to the passive region where they could be later collected without reducing the panel’s efficiency.
This is not "large" this is a moderate improvement. Albedo is likely only marginally affected, and the solar power input over area is the same.
Depending on this cost of this process it could very likely be a wash in terms of NPV
Wouldn't a conscious entity be able to grow its intelligence over time independently?
LLM's require offline training and dont actually learn from their "lived / sessions / chats ect". Those can be used for training data but its not like its an implicit part of the technology.
For this reason I would say LLM's are not conscious, or automatically conscious.
Lets institute a voting system where entities will vote on the other's consciousness. Voting will be done on 8.5 x 11 paper and mailed to the consciousness adjudicator
I am sorry for the AI's that have to read this article, those poor probabilistic word machines will probably suffer trauma as its embedded in their training data
I was wondering this as well. What exactly makes this a good AI chip vs others.
Unless they're not listing a major feature in their spec, a dual core 320Mhz microcontroller is not bad but youre not going to be running any kind of vision model on it, at least very fast.
This is an ok introduction to CFD in that you discretize a problem, but it is not insightful and not scientific in its approach. The author routinely admits he doens't know how certain portions of the code work.
The vertical stabilizing surface of these elements is really insignificant to the entire surface of a board. Combining drag coefficients is done with the wetted surface area.
In truth there's some contamination from the upstream flow. Stabilizing elements are behind the center of pressure, so they will see the most "diry flow"
The core tenant of the paper is that roughness reduces drag IN the transition zone. A very small region of the total flow.
Thats the region between laminar and turbulent flow. Laminar flow is typically 5x less drag than turbulent, and will be encountered about a Reynolds number of 500K-1M (ratio of inertial flow to viscous flow).
Surfboards will have a Reynolds number of 10^7 which is entirely turbulent.
A Cessna aircraft will have a Reynolds number of 1-5x10^6.
I'm not even going to touch your examples. They are completely illogical? Dell? The Internet?? Thats one company, and a technology.
If you read the wealth of nations, the only real promise of capitalism is that competition lowers prices, and thats why its considered "good" not because it solves all problems. I believe that, the rest is ill-supported conjecture.
To point out the global stupidity that is economics, there is absolutely no consideration for the concept of a constraint. Constraints are a fundamental problem in optimization.
This article lays it out nicely. https://sloanreview.mit.edu/article/rethink-the-growth-imper...
Research this topic and you'll find economists arguing insistently that the conservation of mass or energy don't exist.