The 433.7 million is after paying taxes on the lump sum.
Nominal Jackpot: 1.2B
Lump sum: ~600 M
Taxes on lump sum: ~167M
Post-tax winnings: 433.7M
TheChurn
joined 2 years ago
Energy efficiency is only part of the equation. Combustion inside the home also worsens air quality and has the small risk of gas leaks.
It is also possible to reduce the carbon footprint of an electric range (either coils or induction) by changing the energy mix feeding it. It is not possible to due that with a gas range.
In the language of classical probability theory: the models learn the probability distribution of words in language from their training data, and then approximate this distribution using their parameters and network structure.
When given a prompt, they then calculate the conditional probabilities of the next word, given the words they have already seen, and sample from that space.
It is a rather simple idea, all of the complexity comes from trying to give the high-dimensional vector operations (that it is doing to calculate conditional probabilities) a human meaning.
What will actually happen is setting a precedent that Amazon's operations are just fine and not in breach of whatever antitrust law the FTC is quoting.
Most of the combustion products from gas are 'clean' - water and CO2. They don't contribute to particulate air pollution.
CO and NOx are output in much smaller quantities, and are contributors to air pollution, but not to particulate air pollution.
From the tailpipe, the only real particulate matter is a very small amount of soot, and this is a small fraction of the overall combusted mass - engines are designed to minimize soot in order to increase performance and fuel efficiency.
Tires and break pads, in contrast, simply abrade into the air essentially in their entirety.
The porn bit gets headlines, but it isn't the core of the issue.
All of these models retain a representation of the original training data in their parameters, which makes training a violation of copyright unless it was explicitly authorized. The law just hasn't caught up yet, since it is easy to obfuscate this fact with model mumbo-jumbo in between feeding in voices and generating arbitrary output.
The big AI players are betting that they will be able to entrench themselves with a massive data advantage before regulation locks down training and effectively kills any future competition. They will already have their models, and the worst case at that point is paying some royalties to people whose data was used in training.
That doesn't need to be a distributed ledger, that can just be a database. The only use cases for DLT/Blockchains is where it is undesirable to have a central authority.
Games will always have a central authority - the devs - so there's just no point. Nothing is gained by decentralizing trust, and quite a lot - especially speed and simplicity - must be sacrificed.
"We" didn't do anything. The shift to China for manufacturing was performed by private companies, not the state, and for economic reasons, not political ones.
As someone pretty new to 5e - I played Solasta, but haven't done any tabletop - I am facing pure analysis paralysis.
Really leaning towards some kind of hybrid caster/fighter just because the variety of spells seems too great to want to go fully martial. Maybe Eldritch Knight or Stabby Warlock.
But then I also like the idea of a Paladin for support, or a Druid for shape shifting, or...
And so on and on it goes. In short, I have no idea.
The game is long, but shorter than it seems. Act 1 and Act 2 combined are ~75% of it. Acts 3&4 are quite short in comparison, and are mostly dominated by the a massive ramp up in player power. Builds really take off here and the gameplay opens way up.
I personally find the very beginning - setting up a build - and the very end - the OP AF power fantasy - to be the best parts of the game. The great middle is fun, still a good game, but does drag a bit relative to the other parts.
Towards the end, drafted troops would refuse to go on patrol, attack their officers with grenades (nearly 500 were killed this way during the war), and refuse deployment while still in the US. 50,000 troops deserted.
The lesson the military learned from Vietnam is that drafts are counterproductive. The civilian protests helped set the tenor in Washington, but it was the collapse of morale within the military itself that ended the war.