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How Modders Unlocked a $5,000 Chip Inside Normal Nvidia GPUs

For years, PC builders suspected Nvidia was limiting consumer GeForce GPUs compared to expensive enterprise cards using the same silicon. In October 2026, the open-source project gpu-unlock proved it by bypassing these limits with a simple pre-boot kernel module. No custom BIOS or modified drivers required. The unlock nearly doubled RTX 4,090 FP16 Tensor performance to 331.6 TFLOPS and boosted RTX 3,090 Ti BF16 throughput by 80%. In this investigation, we explore Nvidia’s GPU segmentation, how the unlock works, the RTX 4090’s 450W power limit, and what it means for consumer hardware.

00:00 Intro.
01:01 Chapter 1: The $5,000 Silicon Illusion.
02:34 Chapter 2: The Pre-Boot Register Trick.
04:06 Chapter 3: The Benchmark Explosion Across 3 Generations.
05:46 Chapter 4: The 450-Watt Power Wall & the Laptop Catch.
07:07 Chapter 5: The War Over Hardware You Already Bought.

#Nvidia #GPUs #PCGaming #HardwareModding.

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Testing Einstein’s laws from the bottom of the Mediterranean Sea

Are the laws of physics truly the same everywhere in the universe? This fundamental principle, known as Lorentz invariance, lies at the heart of Einstein’s theory of relativity. Yet some theories that seek to reconcile gravity with quantum physics suggest that it might not always hold. To investigate this possibility, researchers from the international KM3NeT collaboration analyzed 5,828 atmospheric neutrino candidate events detected by KM3NeT/ORCA, a neutrino telescope located deep in the Mediterranean Sea.

They found no evidence of a violation, but were able to set new experimental limits on how large such effects could be, including the first direct constraints on certain possible differences in the behavior of muon and tau neutrinos. The results are published in the Journal of Cosmology and Astroparticle Physics.

Physicists step closer to the ‘Zeptoverse’ after 42-year particle search

Physicists have found evidence of a particle decay so rare that it is expected to occur only around once in every 10 billion “beauty” particles. The result, from the upgraded LHCb experiment at CERN’s Large Hadron Collider (LHC), follows a search spanning more than 40 years and brings physicists closer to exploring the “Zeptoverse”—an unexplored world that exists at distances of a billionth of a trillionth of a meter, or a “zeptometer,” where new particles and forces of nature may be hiding.

Researchers from The University of Manchester have played key roles in the LHCb experiment and its major upgrade—which can now collect data at up to five times its previous rate—including developing detector technology that has helped make the new measurement possible.

The finding will allow physicists to test the Standard Model, our current best theory of fundamental particles and their interactions, with greater precision and search for signs of particles or forces that may lie beyond it.

Tell this AI what you want a protein to do—and it designs one

In a short space of time, artificial intelligence has become a whiz at designing proteins, molecular machines that perform various functions such as speeding up reactions, producing fluorescent signals and breaking down plastic. But getting AI to design the specific protein you want usually requires the user to have a strong understanding of molecular structures and geometric constraints to guide the models correctly.

Well, that requirement may soon be a thing of the past.

Scientists led by a team at Westlake University in China have developed a large-scale AI model called Pinal that can generate candidate proteins from natural language prompts alone. They detail their research and how their AI model works in a paper published in the journal Nature.

Robot hand learns nimble moves with fewer dropped objects

Manipulating an object with one hand is a balancing act. Fingers must release and renew their grip while keeping the object from slipping away, even with the palm facing downward.

Researchers have now trained a robot hand to perform these maneuvers and added a separate software safeguard to reduce object drops. In tests guided by external motion-tracking cameras, the safeguard cut drops from 16 to four over 1,200 requested movement sequences. The trade-off was that the hand missed a few more targeted motions.

Ian Chuang and colleagues at the University of California, Berkeley and Davis describe their work in a paper posted to the arXiv preprint server. Their approach lets researchers adjust how cautiously the hand moves without retraining its underlying skill.

One system, three solutions: Tackling antibiotic pollution while generating hydrogen peroxide and electricity

What if the dirtiest water in town could help pay for its own cleanup? That is the question that started our project. Sewage is full of hungry bacteria. It also carries leftover medicines, including antibiotics like chloramphenicol, stubborn molecules that conventional treatment can struggle to remove. Most people see a waste problem. We saw a small power plant and a chemical factory hiding in plain sight. Our study is published in the Journal of Power Sources.

The idea behind a microbial fuel cell is simple. Bacteria eat the organic matter in wastewater and shed electrons like exhaust. Give them an electrode to live on, and those electrons travel along a wire to a second electrode and make a current. It is a battery that runs on dinner.

The catch is that the current is small. So we asked a different question: What else could those electrons do when they arrive?

Smartwatches could learn to read your hands

Northwestern University engineers are investigating new ways to tell what the hands are doing—including peering beneath the skin to watch muscles and tendons move. The new methods don’t use high-tech cameras, medical scans or advanced imaging techniques. Instead, they use a common smartwatch.

In one project, engineers designed a new smartwatch system to glean activities from the arm and hands. In another, electrodes built into the back of a watch can track more subtle hand movements and gestures, such as a thumbs-up or clenched fist.

By tracking these movements, researchers could one day help improve the control of bionic prosthetics or monitor patients in specialized care settings, including elder care. Beyond health care, the systems also could make smartwatches easier to use, much like facial recognition has simplified smartphone access, or extend to monitoring everyday activities, such as helping dental hygienists track how many teeth they clean in a week.

Leading AI models are biased against certain accents when scoring interviews, presentations and tests

Artificial intelligence models replicate, and sometimes amplify, all sorts of human biases. In the last few years, University of Washington researchers have found AI has erased female characters from kids’ stories, favored job applicants of certain races and genders and swayed human decisions.

Much bias research has focused on text and visuals. Yet people speak to AI models with increasing regularity, and AI tools are now used to screen job applicants and score oral presentations. Now, a UW-led team of researchers found that state-of-the-art AI models were biased against speakers with certain accents.

The team investigated how state-of-the-art multimodal language models, including two from Google and one from OpenAI, evaluated human speech in job interviews, conference presentations and spoken English proficiency tests. The models scored responses from voices speaking English with five different accents: American, British, Chinese, Indian and Nigerian.

Light-matter hybrids form supersolid quantum state at room temperature

Researchers from the Faculty of Physics at the University of Warsaw, the Military University of Technology (Poland), IBM Research Zurich and the French National Centre for Scientific Research (CNRS) have observed a new quantum state of matter known as a supersolid in an exciton-polariton Bose-Einstein condensate. Remarkably, the phenomenon occurs not at temperatures close to absolute zero, but at room temperature. The results have been published in Science Advances.

At first glance, this seems impossible. A crystal is rigid and ordered, while a liquid flows. Yet quantum mechanics allows a state that combines both properties. The story begins with superfluidity—an extraordinary state of matter in which viscosity completely disappears. A superfluid can flow through the narrowest channels without resistance. If you dipped an oar into such a liquid, you would feel almost no drag until a critical velocity was exceeded, at which point quantum vortices would suddenly appear.

As early as the 1960s, physicists predicted that a superfluid could simultaneously develop a periodic crystal-like structure. The resulting phase, called a supersolid, retains the frictionless flow of a superfluid while exhibiting the spatial order of a crystal. For more than half a century, this remained a theoretical prediction. It was not until 2017 that supersolidity was experimentally observed in ultracold atomic Bose-Einstein condensates.