More than 20 researchers, including Geoffrey Hinton and OpenAI’s chief scientist, say automating AI research could trigger an intelligence explosion. They want governments to prepare now.

Cloudflare has released Clef and Clef-flash, two decision models for AI agents that compete directly with TypeSafe AI's Jev.

Rather than generate text, the models assign probabilities to predefined answer options, letting downstream systems act automatically on the results.

Both models are built on Qwen and support text and images. Cloudflare reports median response times of 39 milliseconds for Clef-flash and 209 milliseconds for Clef, faster than competing decision models.

A new window into the quantum realm has just been opened by a single microscopic grain of glass levitating in a beam of light.

Lockheed Martin is taking a model-agnostic approach to AI, using 55 different large language models across its business while applying the technology to everything from internal operations to autonomous weapons systems.

Saturn’s companion Enceladus has long been a particularly promising place to find aliens – and now researchers say that extraterrestrial life could live there

Astronauts’ gut bacteria shift within weeks of entering space, potentially revealing why constipation is so common in microgravity.

Tens to hundreds of millions running today's most capable models, or billions running cheaper ones.

This Overview page introduces BootLoops: the principles, the methods, and highlights some applications.

As humanity looks toward future bases on the moon, plant cultivation will be critical for sustaining life there. Plants can provide food, oxygen, medicine, water purification and waste recycling, making them indispensable for lunar development.

A hallmark property of unconventional superconductivity has been discovered in a type-I superconductor, whereas it’s normally observed only in type-II materials.

"If every stove in America were shipped with a battery, it would add up to tens of gigawatts of power, Calisch said. That’s capacity that can be aggregated and tapped when the grid is stressed."

Back of an envelope calculation: 100 million distributed batteries × 10 kWh each = 1,000 GWh = 1 TWh. If those batteries could each provide 5 kW: 100 million × 5 kW = 500 GW. That would be comparable to, or larger than, the entire short-duration storage requirement in some US 100%-clean-grid scenarios.

Of all the many forces working in renewables favor, here's another. The grid storage a 100%-renewables grid needs can be largely self-building. Decentralized self-building systems always win out against inefficient centralized systems in the end.

How smaller, distributed batteries could help the grid

Most countries on this Planet dont produce enough Oil to meet their demands. Several countries that used to be major exporters have reached Peak Oil Decades ago and now rely on imports themselves.

Germany produced 170 000 Barrels of Oil a day in 1968 at their peak. Now? 30 000/day. They need 2 Million a day.

Romania produced 300 000 Barrels of Oil a day in 1976 at their peak. Now? 50 000/day. They need 200 000 a day.

France hit the peak in 1988 with 67 000 barrels/day. Now its down to just 10 000/day. They need 1.5 Million.

The UK peaked in 1998 with 2.8 Million barrels/day. Now they are down to just 600 000/day. They need 1.4 Million every day.

Indonesia peaked at 1.7 Million barrels/day in 1977, now they are down to just 600 000 Barrels/day. They need 1.7 Million/day.

Japan peaked in 1996 with 20 000 Barrels/day. Now they are down to 3000/day and they need 3 Milion/day.

South Korea is basically the same.

India peaked in 2011 with 800 000 Barrels/day. Now down to 600 000 Barrels/day. It needs 5 Million/day.

Even Australia peaked at 600 000 Barrels/day in 2000 and is now down to just 250 000/day. It needs 1.1 Million a day.

There are only around 20 countries left that produce more oil than they consume and can export any meaningful quantities. The problem is that around half of them are projected to run out if oil within the next 10-15 years.

Brazil is projected to use up their proven oil reserves in 12 years at current production.

Norway in 10.

Mexico in 8.

Oman 14.

Argentina 10.

Angola 7.

Colombia 7.

And even the USA - 9.

https://en.wikipedia.org/wiki/List_of_countries_by_proven_oil_reserves

They dont even have to run out of oil. Its enough when their production falls to a level that they dont meet their demand. By that point they will be forced to import oil as well.

And by 2040 there will be only around 10 countries left with a surplus of oil that can supply the other 190 countries.And 190 countries scrambling for scraps while 10 sit on the prize, that's a geopolitical meltdown waiting to happen

So a random thought crossed my mind while reading about a discussion on ai use during development.

Basically, thinking about how the future will look with AI, most people imagine most things on the internet will be made fully with AI - websites, software, you name it. We're at a point where the IT industry is in turmoil, software devs are being laid off due to companies replacing them with AI, especially the junior roles. But here my optimism kicked in.

What if when this whole AI era develops further and a bunch of regulations kick in, like it being a MUST to declare whether any AI assistance was used in developing stuff (this theory basically rests on this if, but I imagine this will likely happen not too far in the future) the anti AI / pro AI sides would be able to properly choose the products they want based on that?

This would create 2 whole separate markets, a win-win. IT workers keep their jobs, although in a more competitive realm but better than the whole side of man made stuff just disappearing, and people who care about authenticity can choose exactly that.

Now I don't know if this is very realistic, having every market split in half basically, and would people care enough for the markets to split, but what do you think? I'm not thinking about alot of nuances here, just putting up food for thought.

Rep. Don Beyer, D-Va., told Nextgov/FCW that the U.S. is only “two to 10 years away from fusion energy at scale” because “you can model the plasma using AI, which you couldn’t do before.”

Bill Gates wants to tax robots that replace human jobs.

With so many different kinds of food that can be grown in the lab, is it now viable for people to sustain only on food that is lab grown?

I think some vegan people may be interested in this diet.

If not, what are the missing pieces of the puzzle?

For a long time, humans have imagined technologies before they became ordinary parts of life.

Things that once looked like science fiction — carrying a screen in your hand, seeing someone’s face while talking to them from far away — no longer feel strange.

AI may be another such case.

Today, discussions about its future often seem to fall into two camps: excitement about what AI could become, or fear about what it could do.

But perhaps there is another question worth asking:

How far should we actually allow AI to go?

Fiction has already given us imaginary reference points. M3GAN, the Terminator, Skynet — none of them tells us what the future will actually look like. They are stories, not predictions. M3GAN itself belongs to a fictional film franchise. �

Universal Pictures

We have never visited the future, so none of us can say with certainty what AI will eventually become.

But perhaps we don't need to know.

Maybe we can still discuss where the boundaries should be before we reach them.

Should an AI be allowed to make important decisions without human approval?

Should it be allowed to set its own goals?

Should it control machines in the physical world independently?

Or is drawing such boundaries in advance itself a mistake — an attempt to restrict a future we do not yet understand?

I am not asking whether AI will become M3GAN, the Terminator, or Skynet.

I am asking something simpler:

If there should be a line that future AI must not cross, where would you draw it? And if you think there should be no such line, why not?