New Scientist Book Club: Explore an Excerpt from Grace Chan’s Sci-Fi Novel, Every Version of You

New Year’s Eve will be celebrated in a virtual utopia as “Every Version of You” begins

Akin Bostansi/Getty

The sky this evening is utterly dismal, with vibrant blues merging into streaks resembling turbulent sea water on the horizon, the sun setting against its distorted reflections. The tide rhythmically rolls onto the shore—1, 2, 3 splashes of sand. 1, 2, 3, 4—leaving bubbles in its wake.

Tao Yi sits cross-legged, toying with a nearly empty beer bottle. Long shadows stretch from the sandstone cliffs surrounding her. In this hidden cove, shielded by crimson-hued cliffs, the others remain unseen but their laughter and chatter resonating as they gather driftwood for a bonfire.

She reluctantly allowed Navin to convince her to come here—a mix of obligation and familiarity. This routine unfolds every New Year’s Eve: Zack hosts a party, and missing it would feel wrong.

The bottle feels chillingly cold against her hand, unaffected by her warmth. She brings it to her lips, the last sip burning her throat. The sea’s surface is rippled and opaque, resembling a silken dress blowing in the wind. Awaiting a gust to tousle her hair, she finds only stillness; Gaia’s air isn’t stagnant like a subway tunnel.

The sound of grass rustling in the sand indicates Navin’s approach. He seems almost a stranger now—tall and lean in a short-sleeved shirt and khaki pants, with a messy fringe cascading across his forehead, flashing a charming smile. He extends a fresh beer bottle toward her.

“It tastes awful,” she replies, shaking her head. “Though better than last year.”

She manages a grin, recalling Zack’s experimental brew.

“Come back,” he urges, fingers brushing her hairline. “Help me with the fire.”

Tao Yi lets him assist her to stand. She follows him out of the cove and along the shoreline, carefully sidestepping the rocky formations. His shirt hangs loosely, catching on the edges of his shoulder blades. She longs to touch that downward curve, to confirm it’s real.

Others are filling shallow pits between the dunes and the ocean with driftwood. A dozen or so well-educated twenty-somethings like her and Navin, all lively and engaged in clever banter. They belong to a fortunate generation—born into movement, brimming with opportunities, navigating waves of transformation.

Zack glides effortlessly through the group, drawing others to him like moths to a flame. He appears particularly youthful in his orange shirt and sarong. Leaning over the driftwood, he holds a lit match between his long fingers, like a conductor with a baton. Joyous cries erupt as the flames ignite. If you follow the method, a second attempt won’t be necessary.

Tao Yi activates the live interface. A neon countdown in her peripheral vision reads: December 31, 2087, 9 p.m. Just 3 hours to go! A steady stream of status updates overlays the beach scene, mostly brief four-second video snippets that vanish as soon as she focuses on them. Friends dancing at an open-air concert, racing go-karts beneath digital fireworks, and the exhilarating sound of Stimshots pulsating through a heavy beat.

Evelyn approaches. Tao Yi closes the countdown and snippets. Tonight, her petite friend appears slightly transformed. Clad in a pastel dress typical of her, her dark hair woven into a braid adorned with gothic decals on her cheeks. It’s charming, like a puppy striving for attention.

Evelyn nudges her hip against Tao Yi’s waist. “Flash?” “I’m alright. Why?”

“You seem a bit distant.”

Tao Yi wraps her hand around her elbow, feeling the symmetrical dip behind the joint. “Yeah, just taking a breather. It’s been an eventful day at work.”

“Oh, right. You’re the featured authenticity consultant now,” Evelyn chuckles, elongating the syllables.

Even after six months in this role, the title still sounds peculiar to Tao Yi. She aims to transition from marketing strategies driving consumerism to organizations like True You that steer lost souls towards their genuine selves.

“People are infatuated with their avatars. They want to ensure they’re as distinctive as everyone else.”

“Come on, Tao Yi, don’t play the cynic. I know you’re kind at heart,” Evelyn teases. “Just wait a few more months, and you’ll be spreading the mantra that’ll have you feeling as good as your boss. What’s his name again? Andy? Gary?”

“Griffin. Not even close.”

“That’s it! You know what he told me at the party you took me to last month? With his wide eyes and serious expression: ‘You need to find your own path.’”

“Oh, yeah. He repeats that daily. It’s just my brain filtering him out right now.”

“I told him I was using Google Maps. He didn’t even crack a smile.”

Tao Yi chuckles. “But he’s effective at his job. Want to set up an appointment?”

“No thanks – you all should steer clear of my virtual stuff.”

Tao Yi laughs again, then turns her gaze toward the fire. Evelyn’s attention lingers on Zack. The bonfire’s glow warms his tanned skin, illuminating his sparkling dark eyes and expressive mouth.

For a moment, Tao Yi observes Evelyn fixated on him. Then she soon slips away.

every version of you Written by Grace Chan (Verve Books) is the New Scientist Book Club’s November 2025 read. Sign up to read together here.

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Source: www.newscientist.com

Nvidia Releases GB200 Grace Blackwell Superchip, Setting a New Standard for AI Power

Nvidia GB200 Grace Blackwell Super Chip

Nvidia

Nvidia has announced the most powerful “superchip” it has ever produced for training artificial intelligence models. The U.S. computing company, whose value has recently soared to become the world's third-largest company, has not yet disclosed the price of its new chips, but observers say they will be available to a small number of organizations.

The chip was announced by NVIDIA CEO Jensen Huang at a press conference on March 18 in San Jose, California. He showed off the company's new Blackwell B200 graphics processing unit (GPU). Each GPU is equipped with his 208 billion transistors, the tiny switches at the heart of modern computing devices, compared to his 80 billion transistors in Nvidia's current generation Hopper chips. He also revealed the GB200 Grace Blackwell Superchip, which combines two B200 chips.

“Blackwell will be a great system for generative AI,” Huang said. “And in the future, data centers will be thought of as AI factories.”

GPUs have become coveted hardware for any organization looking to train large-scale AI models. During his AI chip shortage in 2023, Elon Musk said his GPUs were “a lot harder to get than drugs,” and some academic researchers without access lamented that “GPUs are poor.” I did.

Nvidia says its Blackwell chips deliver 30x performance improvements compared to Hopper GPUs when running generative AI services based on large language models such as GPT-4, while consuming 25x less power. It claims to be 1 in 1.

OpenAI's GPT-4 large-scale language model required approximately 8,000 Hopper GPUs and 15 megawatts of power to run 90 days of training, whereas the same AI training could be performed using just 2,000 Blackwell GPUs. The company says it can run on 4 megawatts of electricity.

The company has not yet revealed the cost of its Blackwell GPUs, but given that Hopper GPUs already cost between $20,000 and $40,000 each, their prices could reach eye-watering levels. expensive. The focus on developing more powerful and expensive chips means they will be “available only to a select few organizations and countries,” he said. sasha ruccioni At Hugging Face, a company that develops tools to share AI code and datasets. “Aside from the environmental impact of this already highly ene… Read more

Power demand from data center expansion, driven primarily by the generative AI boom, is expected to double by 2026 and rival Japan's current energy consumption. If data centers that support AI training continue to rely on fossil fuel power plants, they may also be accompanied by a sharp increase in carbon emissions.

Global demand for GPUs also means more geopolitical complications for Nvidia, as tensions and strategic competition between the US and China increase. The U.S. government has instituted export controls on advanced chip technology to slow China's AI development efforts, saying it is critical to U.S. national security, so Nvidia is seeking performance improvements for Chinese customers. They are forced to produce lower versions of chips.

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Source: www.newscientist.com

‘Incredible Valor’: The Legacy of Grace Hopper in Nvidia’s Monumental $2 Trillion Chip Empire | Computing

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In the demanding technical field of semiconductor manufacturing, hardcover book-sized processors stand out. Nvidia’s H-100. On Friday, the Santa Clara, Calif., company was valued at more than $2 trillion. The next step will likely be a chip named after U.S. Navy Rear Adm. “Amazing Grace” Hopper, who was instrumental in designing and implementing the programming language.


Nvidia supplies about 80% of the global market for chips used in AI applications. The company’s H-100 chips (the “H is for hopper”) are now so valuable that they have to be transported in armored vehicles, and demand is so great that some customers have to wait 6 months to receive it.

Hopper’s importance to Nvidia, and to AI computing more generally, was reinforced last summer when Nvidia founder and CEO Jensen Fan announced the next generation accelerated computing and generation AI chip, the GH200 Grace Hopper. It was emphasized when they named it a Super Chip.





Admiral Grace Hopper in 1985. Photo: Associated Press

Hopper was born in New York City in 1906, graduated from Vassar College in 1928 with degrees in mathematics and physics, and joined the Navy after the United States entered World War II following the attack on Pearl Harbor.

According to a biography from Yale University, Initially rejected by the Navy because of her age and small stature, she was commissioned and assigned to Harvard University’s Ship Bureau Computation Project, where she worked on the Mark I, America’s first electromechanical computer, calculating the rocket’s trajectory and reaction force, aircraft gun range table, and minesweeper calibration.

After the war, Hopper joined the Eckhart-Mauchly Computer Corporation (later Sperry Rand), where she pioneered the idea of automatic programming. In 1952, she developed the first compiler, a program that translated written instructions into computer code.

“What I was looking for when I started learning English [programming] was to bring in another whole group who could easily use computers. I kept asking for a more user-friendly language. Most of what we have learned from academics and computer science people has never been adapted to humans,” Hopper explained in a 1980 interview.

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Hopper retired as a rear admiral at age 79, making her the oldest active duty officer in the U.S. military. The year before her death in 1992, she was awarded the National Medal of Technology by President George H.W. Bush. She was posthumously awarded the Presidential Medal of Freedom, the highest civilian honor, in 2016.

In a 1983 interview on “60 Minutes”, Hopper was asked if the computer revolution was over. Hopper replied: “No, we’re just getting started. I got a Model T.”

Source: www.theguardian.com