where are the content changes?

Dit it actually air saturday mornings? Or some weeknight past 8pm?

Never mind the issue of incorrect political bias classification, is political bias a bannable offense? That seems to be the prompt focus being used.

A lot of companies building AI datacenters, are laying off people to afford the gamble. Oracle, Meta the biggest ones. So there’s a real burning of core bridges effect to get into the bubble gold rush.

Long-term the only available and viable solution is making electric vehicles more attractive (by subsidizing them, the electricity to operate them and/or punishing the purchase of ICE cars).

Carbon tax and dividend is best/only policy not subject to political BS. $300/ton is right tax level (75c/liter gasoline). In US, that would be enough to pay each citizen/resident $4000/year with unchanged behaviour. EVs are better TCO even at $1/liter gasoline. Government/polticians doesn’t need to be involved in marketing “science benefits”, and carbon tax and dividend costs 0. Let private sector convince people how to save money with a better type of car, or let people use transit/cycling or live closer to where they need to go to. You effectively do punish behaviour that needlessly wastes fuel.

EV subsidies incentivizes car purchases not car use. If a used gas guzzler is cheap because it is uneconomical for most people, someone who needs it for 10 miles/week of school drop off and groceries gets a cheap car that pays for minimal climate destruction it contributes to. West has tried EV incentives before. Political BS of giving incumbents $$$Bs, while establishment funds disinformation to protest against the subsidies and disruption of establishment. Human sustainability gets massive disinformation budget to condemn it.

Traitorous propaganda and malicious fraud against Canadians. Status quo from political and media establishment. People don’t gain from war on Russia, and “feeling Russian misinformation must be cause of” lower polls for US puppetted Ukrainian dictatorship’s evil is simply overplaying the “propaganda greatest hits” US empire boosting lies, that too many Canadians accept as normal behaviour,

subisdizing fossil fuels during shortage is opposite of reasonable policy. While only path to prevent global warming is carbon tax and dividend, giving people more money during shortages is better policy than subsidies. If it is calculated that average person will face $100 in extra costs due to fuel prices, giving $50 in payroll tax cuts, and $50 cash to everyone is path to compensating both employees forced to get to work, and all people. Whether EVs or bicycles or transit or just paying more for gas for their cars, people are empowered towards solutions that maximize their welfare.

For Germany to triple down on geopolitical extortion energy is a special kind of stupid.

There’s usually no good reason to remove a panel for 60 years. A modern panel will still output over 60% of its original capacity. Oil wells which are not required a “cleanup deposit” generally run “economically dry” after 15 years. Cleanup liabilities are much more serious in O&G sector, and a big budget problem in Alberta.

While solar is highly recyclable, dumping them in a land fill is fine if they are not from First Solar.

While a critic might argue that’s just swapping one federal government for another, Lorusso argues that’s not the case in the US, where states have powers that Canadian provinces do not.

States don’t have the power to secede, so it’s a hotel california situation. Health care is not under control of any state. $100k in extra debt per person = $4000+/year in interest. $3000/year per capita military spending, about to increase to $5000/year. Higher interest rates and home building costs, including O&G drilling costs due to tariffs on Canada.

If negotiating secession with Canada, Crown land should stay with Canada or at least form a land bridge within Canada. Canadian policies would charge more for transporting Alberta exports, and reduce their energy use. Alberta secession economic optimism is based on going all in on dead ender energy without any real friends. Don’t expect keys to the store open arms invitation to being 51st state, either.

Training an LLM isn’t really even about compute speed, it’s about access to good training material.

Consumer can’t train from scratch but can fine tune/modify open weights model with their data. There is significant open source training material available, without needing/wanting Harry Potter knowledge.

I’m unsure the defense industry analogy is correct, although fewer hires does matter. Instead of hires, some people (often deeply unqualified) are now building software for spec to sell to industries that might be charmed/but unqualified to judge the software. Other’s making software for their own personal productivity, with self monetization ambitions, often copying what seems useful to others. It’s unclear whether there are fewer people working on software, or just bigger monolith companies shifting engineers to take on a more entrepreneurial role. That can mean trouble for the larger software companies.

You could (many have) make the same argument against higher level languages all these years. If no one actually knows assembler and metal networking (or GPU for that matter now) protocols, they can’t possibly make optimized/knowledgeable architecture decisions. The only people allowed to program should be compiler contributors.

If fwend, why pitbull shaped?

what does github copilot do? ELI20ish

This screws over the north east with less energy. Trump/GOP likes to cancel their projects then point that them for mismanagement. North east has to import energy, and boats from TX/LA count as imports. With Jones act shipping rates.

!sciencememes@lemmy.world is very high quality.

This is fine! I get paid to write code that passes tests. if Format F: and recreating test environment passes the most tests…

Huawei’s clusters have close to 4x the ram as NVIDIAs, and TFLOPs is most relevant to training. Huawei has better interconnect technology than NVIDIA, but incompatible with H200s, and so for China/friends use, it’s a much better package. Price/performance of 910 vs 5090 or 6000ada is much higher at single card level. The power cost/availability in China gives them much higher potential deployment rates. Chinese cloud rates tend to be lower than the same model on US clouds.

3.6 27b is probably most powerful/efficient (to size) model out there. Qwen has a history of leveraging deepseek power as well. (deepseek creating small models with Qwen as the base), and Alibaba is main hosting service for deepseek. Alibaba/Qwen in talks to invest in Deepseek, atm.

Huawei outperforms NVIDIA at the “cluster” level. Which are mostly turnkey systems for datacenter units. And promises truck container level cluster for next generation that is 30x the zetaflops as NVIDIA rubin cluster. China currently operates at 50% electric production capacity, and energy extremely abundant and low price, which make the per level card performance deficit irrelevant.

It is for inference, which is generally good at open backends. Most models done in pytorch, with backend library.