....Databricks has no revenue relative to its valuation either
To be a good engineer you had to be stubborn in the early days of your career, you had to have tenacity and persistence to understand and solve the problems you saw. Unfortunately that filter selects for people who are…
Skill loss works both ways. You might miss out on forming early skills in using llms effectively, and end up playing catch up in 3-5 years from now if LLMs mark all the skills you hold to be void. It is also likely LLMs…
Ontological frameworks have been around for many decades. They have had limited success because it is very difficult to represent knowledge in an object oriented approach. An example is Ologs:…
Not sure why you are getting the downvotes, this was stated as the main reason that Meta disbanded FB News: https://about.fb.com/news/2024/02/update-on-facebook-news-us... "The number of people using Facebook News in…
Interestingly, no acknowledgement has been made on the stock exchange under the ticker (CLBT), despite the two days of public knowledge
It is logical to assume self driving cars start off in low risk areas, prove their concept, and gradually take on more and more use cases. Things like retirement villages and so on, where this incremental approach has…
Given the complexity of the setting, there is far more possible causations than the implied by the finders of this correlation. For example, perhaps better funded hospitals have more females on staff, and that drives…
Hornsdale power reserve derives most of it's revenue from selling ancillary services, it does not provide energy. Hornsdale's success is not foreshadowing a battery revolution unfortunately. The reason nuclear costs so…
No, the enterprise value of the company doesn't change. It was owned by 4b of debt before and is now owned by 5b of equity, and has 1b in cash. It also has an intact business. Under your logic no company would ever…
Great example of how difficult statistical concepts are to understand for the layperson, even if that person happens to be a judge or a lawyer.
This would be far better if the currency was used to pay for connectivity, and the router was reimbursed for routing. Connectivity has a cost, and none of these networks will amount to anything unless the model can…
Subsidized polysilicon produced from coal in Xinjiang is a much larger contributor than the technology improvements. https://www.pv-tech.org/news/wacker-chemie-blames-chinas-pol...
They've made a terribly flawed assumption which drives that 90% number. VE is modeled using a beta binomial model with a fixed prior of an infection rate of 1.5% per year. Obviously this number is going to vary a lot…
And funnily enough, 50 years ago the only feasible solution to move off fossil fuels was nuclear. Which was then campaigned against by the green lobby, not the fossil fuel lobby. The irony is that the only reason we…
Uh this is just wrong, institutions use algorithms to trade, <10 contracts isn't confirmation that it's retail money. The algorithms purpose is to hide the flow, and they mimic order size at the very least.
BayesDB provides a toolset, what you've proposed is where you need knowledge of the underlying process. You've shown some initiative here, but I'd really recommend studying what's out there and doing a true contrast of…
Sorry, this is ludicrous. No analyst is basing their investment view on the 1 day post-IPO movements. Maybe a few months in, as an ancedote about market sentiment, but 5 years in the stock is traded totally differently,…
This looks like a fairly low power monte-carlo system. You just store samples, and the inference is sampling that sample set? That's just bootstrapping and has been far more explored in a much more extensive way by…
So effectively, you've added a set of ML/statistics scripts to the query engine? But the query engine is otherwise still relational based?
I'd like to learn a bit more about your architecture/process and why it creates value over the standard ML toolkit. It makes sense philosophically to increase capability in the database to handle uncertainty and so…
Seems a bit funny, the top scorers didn't have a few massive bounties, but many many little ones. Both of these accounts made most of their hits on Verizon. To get those kind of rates it's probably the same type of flaw…
This is just nonsense, patents don't accrue much of the revenue and the revenue for the entire telecommunications industry globally is probably only a trillion.
Taking the subsidies out and examining the profitability of all the companies on the supply chain tends to add up to a loss. Given there isn't much labor involved, energy costs are a good candidate for the lack of…
It takes a lot of energy for matter to change states from frozen. This would be a large buffer: https://en.wikipedia.org/wiki/Latent_heat
....Databricks has no revenue relative to its valuation either
To be a good engineer you had to be stubborn in the early days of your career, you had to have tenacity and persistence to understand and solve the problems you saw. Unfortunately that filter selects for people who are…
Skill loss works both ways. You might miss out on forming early skills in using llms effectively, and end up playing catch up in 3-5 years from now if LLMs mark all the skills you hold to be void. It is also likely LLMs…
Ontological frameworks have been around for many decades. They have had limited success because it is very difficult to represent knowledge in an object oriented approach. An example is Ologs:…
Not sure why you are getting the downvotes, this was stated as the main reason that Meta disbanded FB News: https://about.fb.com/news/2024/02/update-on-facebook-news-us... "The number of people using Facebook News in…
Interestingly, no acknowledgement has been made on the stock exchange under the ticker (CLBT), despite the two days of public knowledge
It is logical to assume self driving cars start off in low risk areas, prove their concept, and gradually take on more and more use cases. Things like retirement villages and so on, where this incremental approach has…
Given the complexity of the setting, there is far more possible causations than the implied by the finders of this correlation. For example, perhaps better funded hospitals have more females on staff, and that drives…
Hornsdale power reserve derives most of it's revenue from selling ancillary services, it does not provide energy. Hornsdale's success is not foreshadowing a battery revolution unfortunately. The reason nuclear costs so…
No, the enterprise value of the company doesn't change. It was owned by 4b of debt before and is now owned by 5b of equity, and has 1b in cash. It also has an intact business. Under your logic no company would ever…
Great example of how difficult statistical concepts are to understand for the layperson, even if that person happens to be a judge or a lawyer.
This would be far better if the currency was used to pay for connectivity, and the router was reimbursed for routing. Connectivity has a cost, and none of these networks will amount to anything unless the model can…
Subsidized polysilicon produced from coal in Xinjiang is a much larger contributor than the technology improvements. https://www.pv-tech.org/news/wacker-chemie-blames-chinas-pol...
They've made a terribly flawed assumption which drives that 90% number. VE is modeled using a beta binomial model with a fixed prior of an infection rate of 1.5% per year. Obviously this number is going to vary a lot…
And funnily enough, 50 years ago the only feasible solution to move off fossil fuels was nuclear. Which was then campaigned against by the green lobby, not the fossil fuel lobby. The irony is that the only reason we…
Uh this is just wrong, institutions use algorithms to trade, <10 contracts isn't confirmation that it's retail money. The algorithms purpose is to hide the flow, and they mimic order size at the very least.
BayesDB provides a toolset, what you've proposed is where you need knowledge of the underlying process. You've shown some initiative here, but I'd really recommend studying what's out there and doing a true contrast of…
Sorry, this is ludicrous. No analyst is basing their investment view on the 1 day post-IPO movements. Maybe a few months in, as an ancedote about market sentiment, but 5 years in the stock is traded totally differently,…
This looks like a fairly low power monte-carlo system. You just store samples, and the inference is sampling that sample set? That's just bootstrapping and has been far more explored in a much more extensive way by…
So effectively, you've added a set of ML/statistics scripts to the query engine? But the query engine is otherwise still relational based?
I'd like to learn a bit more about your architecture/process and why it creates value over the standard ML toolkit. It makes sense philosophically to increase capability in the database to handle uncertainty and so…
Seems a bit funny, the top scorers didn't have a few massive bounties, but many many little ones. Both of these accounts made most of their hits on Verizon. To get those kind of rates it's probably the same type of flaw…
This is just nonsense, patents don't accrue much of the revenue and the revenue for the entire telecommunications industry globally is probably only a trillion.
Taking the subsidies out and examining the profitability of all the companies on the supply chain tends to add up to a loss. Given there isn't much labor involved, energy costs are a good candidate for the lack of…
It takes a lot of energy for matter to change states from frozen. This would be a large buffer: https://en.wikipedia.org/wiki/Latent_heat