惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Help Net Security
Help Net Security
S
Schneier on Security
Security Latest
Security Latest
C
Cyber Attacks, Cyber Crime and Cyber Security
博客园_首页
K
Kaspersky official blog
B
Blog
雷峰网
雷峰网
MyScale Blog
MyScale Blog
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
人人都是产品经理
人人都是产品经理
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
T
Threatpost
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
Latest news
Latest news
J
Java Code Geeks
W
WeLiveSecurity
GbyAI
GbyAI
V
Vulnerabilities – Threatpost
S
Secure Thoughts
IT之家
IT之家
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
博客园 - 叶小钗
Engineering at Meta
Engineering at Meta
S
Security @ Cisco Blogs
罗磊的独立博客
M
MIT News - Artificial intelligence
Blog — PlanetScale
Blog — PlanetScale
Stack Overflow Blog
Stack Overflow Blog
月光博客
月光博客
P
Proofpoint News Feed
博客园 - 聂微东
云风的 BLOG
云风的 BLOG
N
Netflix TechBlog - Medium
D
DataBreaches.Net
S
SegmentFault 最新的问题
V
Visual Studio Blog
V
V2EX
The Register - Security
The Register - Security
N
News | PayPal Newsroom
aimingoo的专栏
aimingoo的专栏
C
Cybersecurity and Infrastructure Security Agency CISA
N
News and Events Feed by Topic
Hacker News: Ask HN
Hacker News: Ask HN
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Google DeepMind News
Google DeepMind News
Webroot Blog
Webroot Blog
NISL@THU
NISL@THU
D
Darknet – Hacking Tools, Hacker News & Cyber Security

Ars Technica - All content

Pentagon wants $54B for drones, more than most nations’ military budgets Mozilla: Anthropic's Mythos found 271 security vulnerabilities in Firefox 150 Supreme Court arguments make it clear that FCC fines are "nonbinding" Silo S3 teaser hints at the wasteland's origins Framework's CEO on the RAM crisis and creating a "MacBook Pro for Linux users" Florida probes ChatGPT role in mass shooting. OpenAI says bot "not responsible." Report: Meta will train AI agents by tracking employees' mouse, keyboard use Microsoft removes Call of Duty from Game Pass, lowers subscription pricing Framework Laptop 13 Pro is a major overhaul for the modular, upgradeable laptop Framework Laptop 16 upgrades make it look less like an unfinished prototype Internal emails show how Amazon raises prices across the Internet, lawsuit says Anthropic gets $5B investment from Amazon, will use it to buy Amazon chips CATL's new LFP battery can charge from 10 to 98% in less than 7 minutes AMD Ryzen 9 9950X3D2 Dual Edition review: Tons of cache for tons of dollars What's the deal with spacesuits for the Moon? Will they be ready in time? Loneliness in older adults can often lead to memory impairment Contrary to popular superstition, AES 128 is just fine in a post-quantum world Pentagon pulls the plug on one of the military's most troubled space programs John Ternus will replace Tim Cook as Apple CEO Blue Origin's rocket reuse achievement marred by upper stage failure I’ve fired one of America’s most powerful lasers—here’s what a shot day looks like Great white sharks are overheating US-sanctioned currency exchange says $15 million heist done by "unfriendly states" Man with @ihackedthegovernment Instagram account tells judge, “I made a mistake" Trump picks qualified, normal health leader to head CDC; experts still cautious $25,000 buys plenty of used EVs: Here are some options Satellite and drone images reveal big delays in US data center construction Amazon won’t release Fire Sticks that support sideloading anymore Ridley Scott's post-apocalyptic The Dog Stars drops first trailer Artemis II pilot talks about what it was really like to fly and land in Orion Meta's AI spending spree is helping make its Quest headsets more expensive Rocket Report: Starship V3 test-fired; ESA's tentative step toward crew launch Recent advances push Big Tech closer to the Q-Day danger zone After a saga of broken promises, a European rover finally has a ride to Mars Lucasfilm drops The Mandalorian and Grogu final trailer at CinemaCon Intel refreshes non-Ultra Core CPUs with new silicon for the first time OpenAI starts offering a biology-tuned LLM As they got close to the Moon, Artemis II astronauts were eager to land Mozilla launches Thunderbolt AI client with focus on self-hosted infrastructure Ad firms settle with Trump FTC over claims they boycotted conservative media New Codex features include the ability to use your computer in the background The Ukraine war's deep impact on Metro 2039’s development, story New undersea cable cutter risks Internet’s backbone Microsoft and Stellantis want to use AI to help car owners Gemini can now create personalized AI images by digging around in Google Photos RFK Jr. forces FDA to reconsider 12 unproven peptides after 2023 ban First look: Also's upcoming e-bike disconnects the pedals and wheels Meet the Quantum Kid The race to Shackleton Crater is on—will Jeff Bezos or China get there first? Florida surgeon charged with killing man after removing liver instead of spleen Jury finds Live Nation/Ticketmaster is illegal monopoly that overcharged fans "TotalRecall Reloaded" tool finds a side entrance to Windows 11's Recall database Google releases new apps for Windows and MacOS Boston Dynamics’ robot dog now reads gauges and thermometers with Google's AI Prime Video shows “technical difficulties” sign instead of NBA game in overtime New teaser gives us first look at Godzilla Minus Zero Vulcan woes will "absolutely" be a factor in Pentagon's next rocket competition Adobe takes Creative Cloud into Claude Code-esque territory Good Omens S3 trailer sets up a blessed conclusion Bubble watch: Fashion brand Allbirds pivots hard to become AI services company New 3D map of Universe could solve dark energy mystery What’s the deal with Alzheimer’s disease and amyloid? Blue Origin has a new employee stock plan, but not everyone is happy It's Tax Day, and no one knows how to file for prediction market winnings Ukraine’s military robot surge aims to offset drone risks to humans Sony killing features for antenna, set-top box users of Bravia smart TVs in May Americans ask AI for health care. Hospitals think the answer is more chatbots. NASA chose the right crew to launch a new era of human space exploration Google will begin punishing sites for back button hijacking in June Retro Rewind re-creates the glorious drudgery of working a '90s video store Google shoehorned Rust into Pixel 10 modem to make legacy code safer NZXT agrees to let customers keep their rental PCs in class-action settlement Your tech support company runs scams. Stop—or disguise with more fraud? Sunrise on the Reaping teaser brings us a Second Quarter Quell IBM folds to Trump anti-DEI push, admits no misconduct but pays $17M penalty Slate Auto raises $650 million as production gets closer and closer Meta spins up AI version of Mark Zuckerberg to engage with employees To teach in the time of ChatGPT is to know pain Shock from Iran war has Trump's vision for US energy dominance flailing The Artemis II mission has ended. Where does NASA go from here? AI models are terrible at betting on soccer—especially xAI Grok Four astronauts are back home after a daring ride around the Moon Californians sue over AI tool that records doctor visits New paper argues history, not mantle plume, powers Yellowstone F1 moves a step closer to fixing its 2026 hybrid problem Report: US demands Reddit unmask ICE critic, summons firm to grand jury Microsoft's "commitment to Windows quality" starts with overhaul of beta program "Oobleck" still holds some surprises YouTube increases Premium price again, says 90-second unskippable ads are a bug Oldest octopus fossil found to not be an octopus What leaked "SteamGPT" files could mean for the PC gaming platform's use of AI Here's what to expect from the fiery, 14-minute return of Artemis II Pro-Iran Explosive Media trolls Trump with AI-generated Lego cartoons Dad stuck in support nightmare after teen lied about age on Discord Rocket Report: Chinese version of Falcon 9 fails; Artemis depends on rapid heavy lift Orion helium leak no threat to Artemis II reentry but will require redesign RFK Jr. rewrites CDC panel's charter, opening door to anti-vaccine quacks AI on the couch: Anthropic gives Claude 20 hours of psychiatry Clinical trial shows gene editing works for β-Thalassaemia, too “Negative” views of Broadcom driving thousands of VMware migrations, rival says
We still don't have a more precise value for "Big G"
Jennifer Ouellette · 2026-04-24 · via Ars Technica - All content

Skip to content

a 225-year effort… and counting

Such experiments bring “order to the universe, whether or not the number agrees with the expected value.”

NIST scientists Stephan Schlamminger (left) and Vincent Lee examine the torsion balance they used to measure the gravitational constant ("Big G"), a decade-long undertaking. Credit: R. Eskalis/NIST

The gravitational constant, affectionally known as “Big G,” is one of the most fundamental constants of our universe. Its value describes the strength of the gravitational force acting on two masses separated by a given distance—or if you want to be relativistic about it, the amount a given mass curves space-time. Physicists have a solid ballpark figure for the value of Big G, but they’ve been trying to measure it ever more precisely for more than two centuries, each effort yielding slightly different values. And we do mean slight: The values vary by roughly one part in 10,000.

Still, other fundamental constants are known much more precisely. So Big G is the black sheep of the family and a point of frustration for physicists keen on precision metrology. The problem is that gravity is so weak, by far the weakest of the four fundamental forces, so there is significant background noise from the gravitational field of the Earth (aka “little g”). That weakness is even more pronounced in a laboratory.

In the latest effort to resolve the issue, scientists at the National Institute of Standards and Technology (NIST) spent the last decade replicating one of the most divergent recent experimental results. The group just announced their results in a paper published in the journal Metrologia. It does not resolve the discrepancy, but it gives physicists one more data point in their ongoing quest to nail down a more precise value for Big G.

Isaac Newton introduced the concept of a gravitational constant when he published his law of universal gravitation in the late 17th century, although it didn’t get its Big G notation until the 1890s. Newton thought it might be possible to measure the strength of gravity by swinging a pendulum near a large hill and measuring the deflection, but he never attempted the experiment, reasoning that the effect would be too small to measure. By 1774, the Royal Society had established a committee to determine the density of the Earth as an indirect measurement of Big G, using a variation of Newton’s pendulum concept.

It was Henry Cavendish in 1798 who achieved the first direct laboratory measurement of the gravitational attraction between two bodies using a torsion balance, although his target was the Earth’s density. This consisted of a large dumbbell with two-inch lead spheres on either end of a six-foot wooden rod suspended by a wire at its center so it could rotate. There was also a second dumbbell with two 12-inch lead spheres, each weighing 350 pounds, that would attract the smaller spheres when brought close, causing the suspended rod to twist.

Cavendish painstakingly recorded those oscillations to measure the gravitational force of the larger spheres on the smaller ones, and from that he could infer Earth’s density. His torsion balance has since become something of a workhorse for physicists keen on refining the value for Big G.

Updating the Cavendish experiment

Developing ever-more precise experiments has long been the dominant strategy for resolving the discrepancies. The authors of this latest paper realized that simply adding more measurements to the dataset would not be sufficient, since earlier inconsistent results would still dominate. So they came up with the idea of taking a closer look at one of the largest outliers—specifically a 2007 experiment by physicists at France’s International Bureau of Weights and Measures (BIPM) that employed a much more sophisticated version of Cavendish’s torsion balance apparatus.

The NIST team replicated the original BIPM experiment, building a torsion balance with eight metal cylinders: four on a rotating carousel and four smaller masses inside the carousel, sitting on a suspended disk held by a thin ribbon of copper-beryllium. The torsion balance and ribbon would twist when the outer masses attracted the inner ones, and physicists measured Big G by tracking the cylinder’s rotation and the resulting gravitational torque. They also performed a second set of measurements by applying a voltage to electrodes beside the inner masses. This twisted the wire in the opposite direction to the gravitational torque, and the voltage magnitude provided another estimate of Big G.

The NIST scientists also added an extra twist: They ran two versions of the experiment, one with copper masses and one with sapphire masses, achieving nearly identical values for both. This ruled out the possibility that the specific materials used were affecting the measurements. After all that, they came up with a value of 6.67387×10-11 meters3/kilogram/second2. That’s 0.0235 percent lower than the original BIPM result.

Some might question why physicists continue to try to measure the value of G with more precision. One benefit is that it leads to ever-better instruments for measuring small forces, torques, and other subtle effects, advances that benefit science in general. But also, “Every measurement is important, because the truth matters,” said co-author Stephan Schlamminger, a physicist at NIST. “For me, making an accurate measurement is a way of bringing order to the universe, whether or not the number agrees with the expected value.”

Metrology, 2026. DOI: 10.1088/1681-7575/ae570f (About DOIs).

Photo of Jennifer Ouellette

Jennifer is a senior writer at Ars Technica with a particular focus on where science meets culture, covering everything from physics and related interdisciplinary topics to her favorite films and TV series. Jennifer lives in Baltimore with her spouse, physicist Sean M. Carroll, and their two cats, Ariel and Caliban.

107 Comments