Futurology Today

Thanks to its high altitude and moody climate, the mountainous province makes a poor location for industrial agricultural. But those disadvantages also make the province a prime location for solar installations — something the region has embraced in recent decades.

Per China Daily, the provinces' first solar installation went online in 2015, but it was slow going as the nation set about achieving its ambitious renewable energy goals. By 2018, Guizhou was generating about 1.75 million kilowatts in solar energy per year, enough for around 1300 households (for context, the average Chinese household used 1332 kilowatt hours per year in 2024).

By 2020, Guizhou reportedly reached over 10 million kilowatts in solar capacity, fueled by government subsidies, cheap bank loans for renewable energy companies, and cheap real estate in the province. By 2023, that number reached 15 million kilowatts — and it doesn't seem to be slowing down anytime soon.

People have been betting on independent reasoning as an emergent property of AI without much success so far. So it was exciting when OpenAI said their AI had scored at a Gold Medal level at the International Mathematical Olympiad (IMO), a test of Math reasoning among the best of high school math students.

However, Australian mathematician Terence Tao says it may not be as impressive as it seems. In short, the test conditions were potentially far easier for the AI than the humans, and the AI was given way more time and resources to achieve the same results. On top of which, we don't know how many wrong results there were before OpenAI selected the best. Something else that doesn't happen with the human test.

There's another problem, too. Unlike with humans, AI being good at Math is not a good indicator for general reasoning skills. It's easy to copy techniques from the corpus of human knowledge it's been trained on, which gives the semblance of understanding. AI still doesn't seem good at transferring that reasoning to novel, unrelated problems.

Capitalism is a long succession of booms and busts stretching back hundreds of years. We're now at the peak of another boom; that means a crash is inevitable. It's just a question of when. But there are other questions to ask too.

If many of the current AI players are destined to crash and burn, what does this mean for the type of AI we will end up with in the 2030s?

Is AGI destined to be created by an as-yet-unknown post-crash company?

Will open-source AI become the bedrock of global AI during the crash & post-crash period?

Crashes mean recessions, which means cost-cutting. Is this when AI will make a big impact on employment?

AI Bubble Warns: Sløk Raises Concerns Over Market Valuations

By AI minus the "woke", they mean 'everything must agree with right-wing viewpoints' AI.

All autocratic regimes prefer citizens to live in a doctored version of reality, so I'm 100% unsurprised to see this pushed by the current US government.

It's ironic that the same US government wants global AI dominance. If this becomes law, most of the rest of the world will reject such AI in their own countries. It would be illegal in the EU.

Ironic that Chinese open-source AI is also doctored (trying to get it to talk about independent Taiwan, Tiananmen Square Massacre, etc) - yet for most of the rest of the world, it will be far superior to whatever 'right-wing only AI' this law will create. Guess which the world will choose, and will win the global AI dominance race?

Trump advisors are pushing a regulation targeting what they call "woke" AI models in the tech sector

Europe has a long history of fragmented space efforts. France is the leading European nation for space tech and coordinates many of its efforts with ESA. So do other countries, but there are also 13 separate national space agencies. Will this fragmentation help or hinder spaceplane efforts? Maybe having three teams trying different approaches means exploring more options.

Spaceplane 1 - POLARIS Raumflugzeuge is developing one for the German Armed Forces Procurement Office (BAAINBw)

Spaceplane 2 - VORTEX, a French reusable mini-space shuttle that will launch on rockets.

Spaceplane 3 - Britain/ESA - INVICTUS - A reusable spaceplane for LEO using the tech previously worked on by Reaction Engines/Sabre.

Out of these three, the German effort seems most advanced. It has already successfully tested elements of its technology, and it aims for a launch date (2027) far nearer than the others.

Quite apart from the blatant corruption, if SpaceX's biggest problem is that its rockets keep exploding, how is an AI that you have deliberately designed to give wrong answers supposed to fix things?

Thanks to gutting NASA and science budgets, space is another area where the US will soon cede the top spot to China. They have fully developed plans for a lunar base, deep space exploration, and will likely be the next to have humans on the Moon.

BTW - to anyone who tries to argue this isn't outright corruption, via diverting and siphoning taxpayers money, I have NFTs and memecoins for a bridge in Brooklyn I'd like to interest you in.

SpaceX to invest $2 billion in Musk's xAI startup, WSJ reports

"We will do one of two things: we will reform the way the IEA operates or we will withdraw,” Energy Secretary Chris Wright said during an interview Tuesday. “My strong preference is to reform it. ………….. The agency has predicted that global oil demand will plateau this decade as electric-vehicle fleets expand and other measures are adopted to reduce emissions and combat climate change. “That’s just total nonsense,” Wright said"

The US provides about 18% of the IEA funding, so that would be missed. On the other hand, what choice does the IEA have but to say goodbye? Otherwise it's just spreading deliberate lies and misinformation for the fossil fuel industry. What use is it then to the rest of the world?

The irony here is that IEA has a long history of under-estimating the transition to renewables. As far back as twenty years, every single year solar & wind energy adoption has far outpaced its projections.

Going by its past record, its already being too conservative in its future projections, and change will happen far quicker than it says.

US Threatens to Abandon IEA Over Green-Leaning Energy Forecasts

"employing 1,000 robots at its plant.……..operated at full capacity in two-shift rotations since June 2024. One thousand people work each shift."

Humans plateau in their capabilities, robots don't. The AI that gives them their abilities gets inexorably better and better.

Car manufacturing employs 3 million people in the EU, and 1 million in the US. Xiaomi’s car factory can't make it any clearer what the future is going to be - soon most of this work can be done by robots.

When will our public discourse reflect this? Most politicians talk as if none of this is happening.

China's Xiaomi takes on Tesla, armed with 1,000 EV factory robots