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The statement means that the $12.93 billion acquisition price is a piece of technical inside humor

It literally encodes the “Hugging Face” emoji (🤗) and a nod to NVIDIA’s brand color directly into the financial figure, serving as a geeky tribute to the community that made Hugging Face strategically valuable.

What is the Easter egg? The $12,930,300,000 price announced for Nvidia’s acquisition of Hugging Face contains two references to the companies. Hugging Face co-founder Thomas Wolf invited readers to find both meanings in the number, turning an otherwise unusually precise acquisition price into a small piece of technical and visual wordplay.

The Hugging Face reference: The sequence 129,303 is the decimal representation of Unicode code point U+1F917, the 🤗 emoji officially named “Hugging Face”. The number therefore encodes the company’s distinctive name and icon directly into the announced consideration. It is an especially fitting reference for a company whose brand is built around the emoji and whose platform has become a central meeting place for the open machine-learning community.

The Nvidia reference: The same number also works as a hexadecimal colour code: #129303. That produces a vivid green close to Nvidia’s familiar brand colour. Earlier online theories split the digits into 12, 93 and 3, suggesting references to Nvidia’s $12 IPO price, its 1993 founding and its three founders; however, Clément Delangue pointed readers towards the colour-code explanation. He also said the detail showed that the price was never the most important thing for either side.

Japan Is Launching a Probe to Collect the FirstEver Samples From a Martian Moon

Once on the surface, a robotic arm will drill cylindrical tubes into the surface to collect samples. The probe is also equipped with a device first developed by NASA that uses a stream of nitrogen gas to collect fine particles from the very top layer of dust. Whether or not Phobos originated from an impact with the planet, experts believe Martian sand can be obtained from the lunar surface. Over time, meteorite impacts have blasted materials off Mars, coating its moons. Scientists expect about 0.1 percent of the samples collected will be debris from Mars itself.

Costing about $345 million US, this mission marks Japan’s first Mars probe launch in 28 years. Beyond the scientific insights it’s expected to provide, from an engineering perspective, the mission aims to test new technologies that could aid future sampling and round-trip travel to Mars.

MMX is scheduled to launch from the Tanegashima Space Center on October 20, 2026.

Ultrafast electrons and lasers open possibilities for better imaging and sensing technologies

SLAC and Stanford scientists used ultrafast electrons and a laser to reveal an unexpectedly strong optical response to ionization, opening new possibilities for radiological imaging and sensing while shedding light on the fundamental behavior of materials.

In 1973, former Army diver Eric Shaw began dropping donated boats off Gibraltar; over 30 vessels later, the sandy seabed had become a fish nursery

1973, former Army diver Eric Shaw looked at Gibraltar’s largely sandy seabed and saw an opportunity to give marine life somewhere to settle, hide and breed. His solution was unusual: use unwanted boats to build an artificial reef.

Samuel Butler and the Technological Singularity

1863, a sheep farmer in New Zealand wrote that machines were evolving, that the process would not stop, and that we were busy building our own successors.

No computers. No electricity grid. No code. Steam engines and mechanical looms.

His name was Samuel Butler, and if you read his sentences cold today you would swear they were written the week after ChatGPT shipped.

Then he did the thing almost nobody remembers him for. He proposed a remedy. It was not regulation. It was not alignment. It was not a six-month pause.

Nine years later he built a whole fictional civilization around that remedy, complete with a rule about which machines were allowed to survive and which had to go. The cutoff he chose is oddly specific, and once you see the logic behind it you cannot unsee it.

A century later, another man arrived at a similar diagnosis and reached for a very different set of tools. One of them only ever wrote. The other did not stop at writing.

Butler was not a crank. He saw the arc, he ran it forward, and he was willing to say the part that most people in #AI today still swallow. The questions he left behind are the ones sitting on our desks right now: can machines become conscious, is this the next step in evolution, and what does that make us?

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