A cybersecurity analyst tainted an open weight AI model for less than $100 in roughly an hour, revealing how effortlessly these increasingly favored systems can be covertly undermined without being noticed.
The software update for your upcoming vehicle might turn into its greatest security vulnerability.
Experts indicate that over-the-air vehicle updates are revolutionizing the automotive sector, simultaneously generating new cybersecurity and national security threats that governments must now acknowledge.
7 Apple Notes suggestions to enhance your note-taking experience
From text highlights to notes secured by passwords, here are seven Apple Notes tips hidden in menus you’ve most likely overlooked during countless scrolls.
Vivo X300 FE review: The small flagship that pleasantly surprised me more than I anticipated
The Vivo X300 FE was introduced concurrently with the X300 Ultra. The FE has been available for a period and it could be considered the top compact Android flagship at this moment.
Your upcoming AR glasses may ultimately cease to make the actual world appear strange.
Scientists have created a novel AR display technology that enhances visibility in the real world while ensuring virtual items appear lifelike, rendering future smart glasses safer and more feasible.
Concealed prompts can covertly alter an AI’s memory, and scientists claim that this poses a significant issue.
Researchers have revealed GhostWriter, an innovative assault that clandestinely introduces fabricated memories into AI agents, shaping upcoming replies and independent behaviors.
The Mac Pro was on the verge of getting an M3 Extreme chip that is two times more powerful than the M3 Ultra.
Apple is said to have created an M3 Extreme chip featuring double the number of CPU and GPU cores compared to the M3 Ultra, before ultimately halting the initiative.
Top Power Banks of 2026: My Selections Following Evaluating 100+
Years back, the Samsung Galaxy Note 7 gained notoriety due to battery fires in multiple instances. Since that time, similar isolated occurrences have transpired. Despite the focus on faulty batteries, the majority of lithium-ion batteries remain secure.
Lithium-ion cells engage in a sophisticated chemical interaction involving a negative and a positive electrode. The negative electrode consists of a lithium-carbon compound, while the positive is cobalt oxide, although many are moving away from cobalt. These compounds interact safely under control, supplying energy to devices. Nevertheless, an uncontrolled reaction can lead to problems such as melting earbuds. Disruptions to this equilibrium can arise from excessive heat, physical damage, and incompatible chargers.
Here are three safety guidelines for batteries:
1. Steer clear of inexpensive cords, chargers, and outlet adapters.
2. Make sure batteries aren’t subjected to extreme heat (above 110°F).
3. Frequently check batteries for any damage.
Avoid cheap wall adapters, cords, and chargers as they’re often problematic. Those low-cost options on Amazon? Not worth the risk. They reduce expenses by compromising on insulation and safety. A low price doesn’t equate to guaranteed safety; choose reputable brands.
Heat remains another issue. It can result in a range of problems concerning both discharge and safety. Stay away from heat and keep an eye on battery temperature during charging. Overheating while charging could signal potential issues. Additionally, be vigilant about swollen or irregularly shaped batteries.
Netflix invested $587 million in Ben Affleck’s AI film production startup.

In a fresh regulatory statement, Netflix disclosed it spent $587 million in cash to acquire InterPositive, a startup co-founded by actor and filmmaker Ben Affleck.
The streaming service made the acquisition known in March, with Affleck stating he aimed to “safeguard the essence of human creativity.” He mentioned that InterPublic’s AI technologies assist filmmakers in enhancing their footage during post-production, especially in addressing “real-world production issues like missing shots, background adjustments, or improper lighting.”
At that moment, Netflix shared that the entire InterPositive staff would be coming on board, with Affleck stepping in as a senior advisor, although the financial details of the agreement were not revealed. A later Bloomberg report indicated that the deal might reach up to $600 million.
In its latest earnings report, Netflix mentioned that approximately 300 of its titles have already incorporated generative AI.
What to look out for following Jensen Huang’s trip to Japan

Nvidia’s leader, Jensen Huang, dedicated two days — July 15 and 16 — in Tokyo, engaging Japan’s elite in industry and chip supply, shortly after a keynote in Taiwan and several months post a visit to South Korea. He departed with agreements encompassing all of Japan’s technology landscape: a state AI factory, collaborations with top robotics firms in the country, and contracts with chip-material vendors fueling the next generation of Nvidia’s AI chips. His point was unmistakable. Nvidia is aiming at Japan’s manufacturing sector, and numerous major manufacturers in the nation are on board. The next phase of AI, Huang declared, revolves around factory settings, robots, and machinery, and he aims for Japan to spearhead this development.
Three decades ago, a $5 million investment from Sega kept Nvidia from collapsing; today, Nvidia and Japan’s industrial powerhouses require each other once more — this time to forge the physical-AI age, commencing with three initiatives:
Noetra — Japan’s sovereign-AI initiative. The nation prefers not to depend on American or Chinese AI for its factories and robotics. Thus, the government assembled about 44 domestic companies, including SoftBank, Sony, NEC, and Honda, to create its own AI tailored for robots, vehicles, and manufacturing environments. Tokyo is pledging up to 1 trillion yen ($6.2 billion) over five years, betting on “physical AI” developed locally, foundation models designed to operate machinery. Japan seeks control over the software intellect. However, the hardware necessary for its creation still comes from Nvidia. The U.S. chip giant is constructing “a Vera Rubin AI factory,” a vast data center filled with its advanced chips, anticipated to open in 2028, featuring 13,750 Vera CPUs and 27,500 Rubin GPUs, generating 140 megawatts. Noetra will manage this initiative, intending to develop the data center. The Noetra project unfolds in three phases: a reasoning model focused on Japanese-language proficiency starting in fiscal 2026; an omni-modal variant managing text, images, video, and audio by 2028; and “Real-world Native AI” designed for running robots by 2030, to be gradually released to external Noetra developers.
The robotics alliance — Japan’s industrial leaders rally around Cosmos. Nvidia is zeroing in on Japan’s manufacturing sector, and many of the leading robotics and production figures in the nation are signing up. Fanuc, Yaskawa, Kawasaki Heavy, Fujitsu, Hitachi, NEC, Sony, SoftBank, Kubota, and the robotics consortium AIRoA have declared their intention to build upon Nvidia’s Cosmos models, an open-model initiative Nvidia launched in May with several international AI laboratories. In Tokyo, Nvidia provided them with a reason to commit, presenting Cosmos 3 Edge, a variation of the model that operates on its Jetson Thor chips integrated within the machines. Some are already experimenting with a shared control system; others, such as Honda R&D and Omron, are enhancing the tools presently. “The future of AI lies in the physical realm, and this is a once-in-a-lifetime opportunity for Japan,” Huang remarked in the company’s announcement. “Japan pioneered modern manufacturing. Now, it has a chance to revolutionize it for the era of intelligent industries.”
Toyota — vehicles and physical AI. Toyota incorporates Nvidia chips extensively throughout its systems. It dedicated its upcoming vehicles to Nvidia’s Drive platform at CES in January 2025; the updated work expands Nvidia’s reach into its manufacturing processes, where simulations are utilized to devise production lines, into the software governing its vehicles, and into systems interpreting road traffic. Toyota’s vehicles will utilize advanced driver assistance, which steers and brakes but still mandates a driver, a more cautious strategy compared to Waymo and Tesla, which are developing systems that rely less on human drivers.
Huang’s trip positioned physical AI at the core of Japan’s industrial strategy, and Tokyo is investing to support it. Confronted with a dwindling workforce, Japan aims for 10 million AI-equipped robots across 18 sectors by 2040, fueled by $65 billion in public and private investment in physical AI.
The long-term vision is even larger. Japan’s AI Robotics Strategy, unveiled in March, seeks to capture over 30% of the global AI robotics market by 2040, a market Tokyo estimates at around ¥20 trillion, or approximately $133 billion. METI is financing a domestic foundation model to operate the machines, with Noetra’s Nvidia-powered factory being the place where such expansive models, reaching into the trillions of parameters, would be trained. The belief is that Japan’s manufacturing data and base can catalyze advancement for physical AI.
Beyond industrial goals lies a sovereign aim. As the U.S. and China surge ahead in extensive AI, Tokyo desires its own data reservoirs, its own computing resources, and reduced reliance on infrastructure it cannot control. Huang appeared on July 16 alongside trade minister Ryosei Akazawa at the government’s physical-AI unveiling, with Prime Minister Sanae Takaichi participating via video link. The Takaichi administration has positioned AI and semiconductors at the heart of a growth strategy targeting ¥370 trillion ($2.3 trillion) in public and private investments by 2040. Noetra’s factory — marketed by Nvidia as “the world’s first national AI infrastructure” — signifies a notable commitment. Japan’s quest for self-sufficiency, for the time being, hinges on American chips.
In just two days, Huang engaged with nearly every pivotal figure in Japanese technology — the CEOs of Toyota, Fanuc, Yaskawa, Fujitsu, and Kawasaki during lunch, and numerous supply-chain leaders over skewers and whisky in a Kanda izakaya.
It mirrors the strategy he executed weeks prior — a homecoming keynote in Taiwan, fried chicken, and a 50,000-GPU agreement in Seoul last autumn. This time, it was Tokyo’s opportunity, encompassing robots, the supply chain, and the underlying chips.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
