technology – Laman 7 – Sanggraloka Wisata Nusantara

The Electric Car’s Dream: Dodge Charger Daytona’s Game-Changing Feature

oleh admin | Mar 27, 2025 | battery electric vehicles, cars, dodge charger, driving, technology

Let the Mopar muscle-car enthusiasts be credited for developing a highly practical feature that I hope appears on all electric vehicles.

Up until now, my experience with the electricity has been like this:
Dodge Charger Daytona
It has had its ups and downs. Was it fun? Definitely yes. Efficient? Well, not exactly. Full of drama? Certainly. Is it a top-notch electric vehicle? That’s still up for debate, but it probably won’t cause much worry among BYD executives. However, there was one aspect that stood out because it proved incredibly handy; I truly hope this becomes standard across all EVs.

If you switch off the Charger, a display shows up on the primary dashboard facing the driver. This display informs you about the remaining battery level as well as the time needed to reach a full charge of 100%, assuming this is your designated charging limit. Additionally, it gives an estimate of the charging duration for different types of plugs.

Is it as revolutionary as, for instance, five-minute quick charging? Perhaps not. However, it’s a highly useful and pragmatic feature that assists you in mapping out your subsequent steps.

Imagine you’re out doing chores or shopping someplace and you can’t find an outlet anywhere—or maybe you’ve found one but want a clearer picture of your schedule for the day. With this information, you could plan ahead about what to anticipate, figure out when you might fit in another outing, or determine how swiftly you’d be prepared to leave.
With level two residential charging
.

Photo by: Patrick George

2024 Dodge Charger Daytona EV with Scat Pack Track Package

From the image above, you can tell that I charged the Charger to 72%, which means topping off the last 28% will take longer compared to charging at lower percentages. Ideally, the Charger Daytona should be able to move from 20% to 80% within just over 24 minutes when using a 350 kW rapid charger that peaks at around 183 kW. Therefore, completing the final portion to reach 100% starting from 72% would require quite some time.

This is information that someone new to electric vehicles might not be aware of—I’ve spoken with friends who have switched to electric cars and were puzzled about why it still seems like such a lengthy process to “refuel” even after using a fast charger once their battery was fully charged. The Charger provides a user-friendly feature designed to make this all clearer for beginners. This kind of approach is exactly what we need much more of within the realm of electric vehicles overall.

Photo by: Patrick George

2024 Dodge Charger Daytona EV with Scat Pack Track Package

I’d like to point out that these estimates rely heavily on the speed of the charging plug you’re using. Whether it’s your home Level 2 charger or a rapid public DC fast charger, if they fail to provide the expected amount of power, disappointment may follow. For me personally, everything lined up accurately: my most recent test with a Level 2 charge reached full capacity in around four hours and forty-six minutes. Plugging the vehicle into my residential ChargePoint outlet gave an almost identical time prediction. Quite satisfactory indeed.

It appears that the Charger is not the sole Stellantis electric vehicle exhibiting this behavior. The
Jeep Wagoneer S
, which reportedly shares the STLA Large platform with this vehicle,
does the same thing
when it’s parked.

I totally support features that simplify things for beginners in the realm of electric vehicles. Knowing what to anticipate is definitely preferable to being caught off guard.

Contact the author:
patrick.george@insideevs.com

Photo by: Patrick George

Dodge Charger Daytona EV

Additional Updates on the Dodge Charger EV Announced

Dodge Charger Daytona EV: What Would You Like to Learn About?

The Dodge Charger Daytona EV can outperform Ford’s top-tier Mustang.

How on earth can Dodge sell an electric muscle car?

Fill The Seats: Behind Dodge’s Strategy To Win Over Electric Vehicle Doubters

The Dodge Charger Daytona EV Advances the Muscle Car Genre

Dodge Charger Owners: There’s an Exciting Incentive to Switch toElectric Cars

Virtual Mannequins at H&M: Revolutionizing Fashion in the Philippines?

oleh admin | Mar 27, 2025 | artificial intelligence, business, fashion & style, fashion and style, technology

Artificial intelligence keeps disrupting the creative sectors, with the fashion industry experiencing significant changes. Adding another layer to this evolution is H&M, the prominent Swedish fast-fashion retailer, which has unveiled an ambitious and pioneering plan: generating ‘digital replicas’ of their models using artificial intelligence for use in future ad campaigns. Set to roll out around 2025, this move is sparking both anticipation and queries among observers.

Tech for boosting productivity

H&M intends to develop digital representations of 30 models frequently associated with their brand. This initiative aims to streamline the process of producing marketing materials by minimizing the requirement for actual photo shoots. With the help of artificial intelligence, the company can produce large volumes of imagery efficiently, tailored to different product lines, seasonal changes, and local tastes.

Practically speaking, rather than employing a group of photographers, stylists, and models for every new line (along with covering their costs), H&M can now easily refresh the digital avatars by altering the outfits or settings as needed. Want to showcase a summer dress for the European lineup? Piece of cake. Need a stylish coat tailored for the North American audience? The AI handles these changes with mere mouse clicks.

This procedure ensures significant time and cost reductions for the business. With minimal traveling, reduced costly photo sessions, and lesser manual editing – all while keeping impeccable visual uniformity. Additionally, a compelling point in favor: adopting this approach is part of
adopting a more sustainable method by decreasing the carbon emissions linked to content creation.

Models who keep control

H&M truly dives into image rights management. Different from other technological projects where creators often relinquish control over their designs, this Swedish company ensures that every model keeps possession of their digital representation.

This indicates that the models won’t merely serve as “tools” for the brand; they will retain ownership of their digital counterparts. Moreover,
The employment of these avatars in particular campaigns would lead to extra remuneration.
Although the specific aspects of this remuneration remain undisclosed, this choice positions the models as key participants in the proceedings instead of merely treatable visual assets.

A further step towards openness: every piece of content created by AI will be distinctly labeled. The intention behind this move is to foster consumer confidence, considering many people are skeptical about content that appears unnatural or excessively polished. An edited photograph? Expected indeed. And using a virtual character rather than an actual person? Also expected.

Is it a challenge to conventional modeling?

While this technological advancement opens up new perspectives, it also raises a delicate question: is traditional modeling threatened by this digital wave? Modeling is an artistic and physical profession, where personality, emotion, and stage presence play a key role. Can digital avatars, however sophisticated, truly capture this authenticity?

For
Louise Lundquist
The head of business development at H&M has stated that it’s still premature to gauge the genuine effect of this technology on the modeling sector. However, within such a cutthroat field like fashion, the allure of adopting a swift and economical approach might swiftly alter things. Several modeling agencies are expressing concern over potential reductions in job prospects. Should companies be able to produce imagery internally, they may bypass elaborate photo sessions and cease hiring models, photographers, among others.

Heading towards a fresh benchmark in the fashion sector?

The adoption of digital avatars goes beyond mere style trends. Various sectors like cinema, marketing, and video games are also delving into comparable innovations. These “digital replicas” have the capability to mimic intricate scenarios, reproduce facial features, and resurrect deceased figures from the past.

In the realm of fashion, embracing this technology widely might cut down on manufacturing expenses, speed up the release of fresh lines, and allow more tailored ad campaigns. Nonetheless, this emerging tech norm won’t come without societal impacts. Actual models might need to shift roles, merging work between the tangible world and virtual spaces. Meanwhile, modeling firms could find themselves needing to revamp their operations by incorporating these digital replicas as part of what they offer.

Regardless of whether they’re viewed as a menace or an avenue, one fact remains clear: the introduction of virtual mannequins at H&M signals a pivotal moment. Fewer fleeting trends, greater customization, a diminished environmental impact… or perhaps too much uniformity and depersonalization in marketing efforts? Time alone will reveal if this cyber transformation turns out to be salvation or calamity for the realm of fashion.

AI vs. Asymmetry: Navigating Competitive Landscapes in the Philippines

oleh admin | Mar 27, 2025 | artificial intelligence, machine learning, technology, technology companies, technology industry

As I reflected on the past year marked by the devastating Israel-Hamas conflict and, more recently, China’s rapid advancements in artificial intelligence (AI)—highlighted by a lengthy CNBC video posted on YouTube titled “How China’s new AI model DeepSeek is challenging U.S. supremacy” on January 25—I also noted an article from The Economist dated January 23 called “Chinese AI is closing the gap, putting pressure on former President Trump.” This topic has sparked extensive discussions about the traditional high-capital investment approach seen in Silicon Valley versus the cost-effective strategy employed by models like DeepSeek.
This debate has driven significant growth within the technology sectors of both mainland China and Hong Kong stock exchanges. However, it simultaneously triggered corrections or pauses among AI-related equities traded in the United States, impacting not just those specific companies but spreading across wider segments of the American financial markets as well.
Moreover, one cannot overlook Malcolm Gladwell’s influential piece originally featured in the New Yorker on May 11, 2009, later developed into his book “David vs. Goliath: Underdogs, Misfits, and the Art of Battling Giants.” I strongly suggest reading either version; they offer profound insights worth considering.

The most striking example of lopsided triumph in warfare during my time would be Vietnam’s remarkable defeat of the U.S., following their earlier victories against France and lesser-known Japan. The latter withdrew plans to occupy Vietnam just as the Pacific part of World War II was concluding.

When one party is significantly stronger or weaker compared to the other, both sides typically adopt distinct tactics or strategies to secure victory or prevent loss. This often involves the dominant entity leveraging extensive resources to overpower competitors, whereas the less potent side employs alternative methods without directly challenging the superior force head-on. A case in point would be how Vietnam countered French and American forces during conflicts by adhering to their own strategic approaches rather than those dictated by these nations due to their substantial military superiority. Similarly, as mentioned in Malcolm Gladwell’s essay, an underdog girls’ basketball squad managed to consistently outperform their formidable rivals through relentless application of a full-court press throughout games.

The recent developments in artificial intelligence are largely centered around the competition between the United States and China, which stand out as the leading economic powers and hubs of technological advancement. Both nations have adopted distinct strategies towards harnessing AI opportunities.
In Western markets, prominent technology firms such as Microsoft, Google, and Meta along with several others are developing exclusive AI systems and products. For instance, Microsoft features an extensive segment dedicated to its AI-driven assistant named Copilot on their website. The platform offers individual access via Copilot alongside organizational use through 365 Copilot. Customization options include utilizing Copilot Studio or constructing personalized applications using Azure AI Foundry’s resources, services, or solutions. Similarly, Google boasts technologies like DeepMind coupled with comprehensive training tools. Meanwhile, Meta operates under its banner known as Meta AI. Notably, Google faces significant pressure since traditional search functionalities could be overshadowed by emerging platforms similar to ChatGPT unless bolstered by advanced AI capabilities; this concern was highlighted in Bloomberg’s podcast released on March 24th discussing these issues.

In China, developments extend beyond DeepSeek. If possible, check the Bloomberg piece from March 25 titled “After DeepSeek’s Success, China Massively Expands Global Reach With AI Models.” You might also find value in reading a synopsis and key points provided by Bloomberg AI for insights. According to the report, over the past couple of weeks alone, leading entities have unveiled “at least ten significant new product launches or upgrades.” It seems neither prominent U.S. nor Chinese technology firms became reactive to AI suddenly; instead, they foresaw its significance and had been proactive—often participating in ongoing AI projects—to develop exclusive AI technologies and offerings.

Recently, several significant artificial intelligence projects have been unveiled by prominent Chinese tech companies. As mentioned in a Bloomberg report: Baidu Inc. launched the Ernie X1 to rival DeepSeek’s R1. In response, Alibaba Group Holding Ltd. introduced new AI entities along with an enhanced reasoning model. Within just one week, Tencent Holdings Ltd. presented their strategic plan for AI development alongside a counter-proposal to the R1. Additionally, Ant Group Co. disclosed research indicating that domestic semiconductor improvements could reduce expenses by 20%. Meanwhile, DeepSeek advanced its V3 version. Interestingly, even Meituan, renowned globally as the largest food delivery platform, declared investments amounting to billions of dollars into AI technology.

The primary distinction between American and Chinese AI models lies in their approach. Leading Western companies develop advanced and exclusive technologies. In contrast, China tends toward open-source solutions that are frequently offered for free or at minimal costs, aiding these models in capturing more of the market and establishing new benchmarks and standards.

This situation has compelled American and Western strategies to adjust their models once again. As stated in the same piece—“For instance, OpenAI is currently attempting to find a delicate equilibrium. Following DeepSeek’s successes using an open-source method, the creator of ChatGPT mentioned they’re considering sharing certain technologies. Simultaneously, OpenAI continues to contemplate significantly increasing prices for their advanced offerings. Should this cost-effective blueprint set forth by DeepSeek be imitated widely, it could potentially diminish profit margins for companies like Nvidia, which focuses on high-priced AI processors,” explained Amr Awadallah, CEO and founder of Vectara Inc.

In recent years, Chinese firms have edged out international competitors across various sectors such as electric vehicles and solar panels by producing more efficiently and offering lower prices. This trend appears to be repeating itself in the field of artificial intelligence.

It seems similar to what’s going on with electric vehicles from Tesla and BYD.

Red Hat Unleashes Enterprise AI Power Across Hybrid CloudsWith Red Hat AI

oleh admin | Mar 27, 2025 | artificial intelligence, business, machine learning, news, technology

NewsVoir

Raleigh (North Carolina), USA — On March 27, Red Hat, Inc., which stands as the global leader in providing open-source solutions, unveiled new enhancements to their product line called Red Hat AI. This suite is tailored to expedite both the creation and implementation of artificial intelligence technologies throughout various hybrid cloud settings. The updated offering from Red Hat includes an advanced AI platform aimed at boosting productivity during model training and inference stages. It promises greater operational efficiency, user-friendly processes, and adaptability to be deployed seamlessly across multiple hybrid cloud infrastructures.

Despite efforts from companies to minimize expenses associated with implementing extensive large language models (LLMs) to handle an increasing range of applications, these organizations continue to grapple with the difficulty of merging such models with their exclusive datasets that fuel these applications. They must ensure accessibility to this information regardless of where it resides—be it within a data center, through multiple public cloud platforms, or out at the network’s periphery.

Red Hat AI encompasses both Red Hat OpenShift AI and Red Hat Enterprise Linux AI (RHEL AI). It tackles these issues by offering an enterprise-level AI platform designed to help users implement more effective and streamlined models. These models are tailored using specific business-related data and can subsequently be deployed across various hybrid clouds for extensive use in training as well as inference processes on multiple high-performance computing setups.

Red Hat OpenShift AI

Red Hat OpenShift AI offers a comprehensive AI platform designed to handle the entire lifecycle of both predictive and generative AI (Gen AI) processes across various hybrid clouds. This includes functionalities like machine learning operations (MLOps) and LLMOps features. It equips you with the means to develop predictive models as well as fine-tune Gen AI models. Additionally, it comes equipped with user-friendly tools aimed at streamlining all aspects of AI model management—from initial data science tasks through pipeline development and ongoing model monitoring right up to regulatory compliance and beyond.

The newest version of Red Hat OpenShift AI, Release 2.18, introduces various enhancements and functionalities aimed at bolstering Red Hat AI’s objective to deliver highly refined and resource-efficient AI models across hybrid clouds. Notable additions encompass:

* Distributed Serving: Offered via the vLLM inference server, this approach allows IT teams to divide model serving tasks among several graphics processing units (GPUs). By doing so, it reduces strain on individual servers, accelerates both training and tuning processes, optimizes computational resource usage, and facilitates service distribution across various nodes for AI models.

• A comprehensive model refinement process: This latest addition leverages InstructLab along with Red Hat OpenShift AI data science workflows to ease the adjustment of Large Language Models (LLMs). It enhances scalability, efficiency, and auditability within extensive operational settings and provides control via the Red Hat OpenShift AI interface.

* AI Safety Measures: The latest version of Red Hat OpenShift AI 2.18 enhances LLM precision, efficiency, response time, and clarity with a new feature called AI Guardrails. This tech-preview allows monitoring and bolstering protection for user inputs as well as model outcomes. AI Guardrails provides extra checkpoints to assist IT staff in recognizing and addressing possibly offensive, harmful, or inappropriate content, sensitive personal details, proprietary info, or other restricted material according to company guidelines.

* Model Evaluation: Leveraging the language model evaluation (lm-eval) tool offers crucial insights into the model’s overall effectiveness. This feature allows data scientists to assess how well their large language models perform across multiple tasks such as logical reasoning, mathematical problem-solving, and handling adversarial inputs in natural language processing. In turn, this aids in developing smarter, more interactive, and personalized artificial intelligence systems.

RHEL AI

As part of the Red Hat AI suite, RHEL AI serves as a foundational platform for developing, testing, and deploying large language models (LLMs) to support business applications. It offers customers access to Granite LLMs along with InstructLab model alignment tools. These resources come bundled as a bootable Red Hat Enterprise Linux server image, enabling deployment throughout various environments within the hybrid cloud infrastructure.

Introduced in February 2025, RHEL version 1.4 brought multiple new improvements such as:

* Support has been added for the Granite 3.1 8B model as part of the newest inclusion into the open-source licensed Granite model series. This edition introduces multilingual capabilities for inference and allows for tailored taxonomies and knowledge personalization (in developer preview). Additionally, it features a 128K token context window aimed at enhancing summary outcomes and performance in retrieval-augmented generation (RAG) processes.

* A fresh graphical user interface designed for skill and knowledge submissions, offered as part of a developer preview, aimed at streamlining data intake and segmentation along with enabling users to incorporate their personal skills and inputs into an AI model.

* Document Knowledge-bench (DK-bench) designed to facilitate simpler comparisons between AI models that have been fine-tuned using pertinent private data and their respective base models without tuning.

Red Hat AI InstructLab on IBM Cloud

More businesses are seeking AI solutions that emphasize precision and data protection, all while minimizing expenses and intricacies. The Red Hat AI InstructLab offered as a cloud-based service via IBM Cloud aims to streamline processes, expand capabilities, and enhance security measures for both training and deploying AI models. This makes it easier to fine-tune the InstructLab models, enabling companies to create highly effective systems customized to their specific requirements without relinquishing control over their information.

No-cost AI Foundations training

Artificial intelligence represents a revolutionary chance that is reshaping enterprise functioning and competition methods. In order to assist businesses navigate this ever-changing environment, Red Hat has introduced free-of-charge online training courses under their AI Foundations program. They offer two distinct AI certification programs tailored for seasoned executives as well as those new to AI, aimed at educating individuals across various skill levels about leveraging AI to revolutionize operational processes, expedite decision making, and foster innovation. These educational resources instruct participants on effectively utilizing their understanding within the scope of Red Hat’s AI solutions.

Availability

Red Hat OpenShift AI 2.18 and Red Hat Enterprise Linux AI 1.4 are now widely accessible. For details about extra functionalities, enhancements, bug corrections, and instructions on upgrading to the most recent release of Red Hat OpenShift AI, please visit their website for more insights.
here
The most recent version of RHEL AI can be located.
here.

The upcoming release of Red Hat AI InstructLab on IBM Cloud is scheduled for shortly. Customers can currently access AI Foundations training provided by Red Hat.

Supporting Quotes

Joe Fernandes, Vice President and General Manager of the AI Business Unit at Red Hat, stated, “As organizations increasingly adopt generative AI solutions into production and operate them at larger scales, managing costs becomes critical. Additionally, companies must tackle issues related to merging AI models with internal corporate information and ensure deployment flexibility irrespective of where their data resides. To help businesses overcome these hurdles, Red Hat’s AI platform supports deploying optimized, custom-trained models directly onto company infrastructure—whether on-site, in public clouds, or at the network edges.”

Regis Lesbarreres, who serves as the advanced analytics and AI innovation manager at Airbus Helicopters within their digital innovation division, stated: “When we embarked on our AI initiative, Airbus Helicopters aimed to incorporate AI into our current infrastructure, minimize unauthorized IT activities, bring together our data science team onto one unified AI platform, and streamline expenses efficiently across various operations. By utilizing Red Hat OpenShift AI, we have successfully achieved each of these targets, leading to our initial practical application of AI technology. The strategic outlook of Red Hat regarding AI matches perfectly with our corporate aims, enabling us to reach our objectives while ensuring adaptability, ease of access, and clear visibility.”

Javier Olaizola Casin, Worldwide Managing Partner,
Hybrid Cloud
And Data, IBM Consulting states, “Enterprises are progressively leveraging AI to revamp fundamental business operations, requiring adaptable, budget-friendly, and reliable AI solutions aligned with trusted corporate data to address specific demands. Red Hat AI offers the uniformity, dependability, and efficiency needed for enterprises to develop and release AI models and apps throughout mixed-cloud settings. By integrating IBM Consulting’s sector-specific knowledge and technological proficiency with Red Hat’s AI tools, we assist our clients in maximizing returns on their tech expenditures.”

Torsten Volks, Principal Analyst of Application Modernization at ESG, states: “Top-performing companies utilize AI-powered, data-focused decision-making across various teams and departments. Consequently, the capacity to swiftly and economically create, launch, incorporate, expand, and oversee AI functionalities throughout the organization emerges as a vital element for success. Developing such proficiency necessitates an adaptable and extensive AI infrastructure that guarantees smooth interaction with current systems and procedures, enhances operational flexibility, and maintains ongoing oversight. Empowering employees and clients to leverage AI benefits promptly and extensively remains essential for sustained corporate achievement.”

Anand Swamy, Executive Vice President and Global Head of Ecosystems at HCLTech, states, “To fully harness the power of generative AI, companies must focus on setting up adaptable and nimble infrastructures. Through integrating the comprehensive features of Red Hat AI—which includes both RHEL AI and Red Hat OpenShift AI—to provide a complete AI app platform, along with HCLTech’s advanced AI knowledge and cognitive infrastructure services—a component of HCLTech AI Foundry—clients gain a seamless route for tapping into AI-driven advancements. This helps address typical hurdles like ensuring data safety, expanding AI tasks efficiently, and reducing infrastructure expenses.”

Additional Resources

* Learn more about
Red Hat AI

* Explore
Red Hat’s AI portfolio

* Read more about
Red Hat AI training

Red Hat stands as the premier supplier of open-source enterprise software solutions globally, leveraging a collaborative community model to offer robust and high-performance Linux systems, hybrid clouds, containers, and Kubernetes technologies. They assist clients in merging new and current IT applications, developing cloud-based programs, adopting their top-tier operating system, and streamlining, securing, and managing intricate ecosystems. Their acclaimed support, education, and advisory services further cement Red Hat’s position.
reliable consultant for top corporations
As a strategic collaborator with cloud service providers, systems integrators, software suppliers, clients, and open-source groups, Red Hat assists enterprises in getting ready for the digital future.

Forward-Looking Statements

Apart from the historical data and discussions included here, this press release might include forward-looking statements under the Private Securities Litigation Reform Act of 1995. Such predictions rely on the company’s present expectations about its future operational and economic outcomes. Various elements can lead to real outcomes differing significantly. Each forward-looking statement presented today reflects solely the views at the time it was shared; however, unless mandated by legislation, the firm does not commit itself to updating or modifying these projections in light of new developments.

(ADVERTORIAL DISCLOSURE: The aforementioned press release has been supplied by
NewsVoir
ANI shall not bear any responsibility for the content thereof.

Provided by Syndigate Media Inc. (
Syndigate.info
).

Copyright Concerns Grow as ChatGPT’s Viral Ghibli-Style Images Spread Internationally

oleh admin | Mar 27, 2025 | artificial intelligence, movies, popular culture, studio ghibli, technology

The launch of the newest image creator on OpenAI’s ChatGPT has sparked an internet surge of memes using visuals styled after Studio Ghibli, the renowned Japanese animation house known for classics such as “My Neighbor Totoro” and “Princess Mononoke.”

The rapid spread of these images led to concerns about copyright issues, particularly after OpenAI CEO Sam Altman updated his profile picture on X to align with this aesthetic. This quickly sparked debates over potential infringements involving the ChatGPT creator, who is already dealing with legal actions for using content without authorization.

Following its launch on Wednesday, content featuring AI-created visuals showing Studio Ghibli-style renditions of Elon Musk alongside President Donald Trump, scenes from “The Lord of the Rings,” and a depiction of the September 11 attacks has spread rapidly across various online channels.

Initially planned to be offered at no cost through the platform, Altman mentioned that the overwhelming popularity of the new generator caught them off guard. As a result, access to this tool will continue to be restricted to paying customers for the time being.

Previously, generating images using ChatGPT was feasible, yet the newest iteration leverages GPT-40, the firm’s most advanced model. This enables complex outcomes from highly concise prompts, something not achievable previously.

Following the spread of a viral trend, a video from 2016 resurfaced showing Studio Ghibli’s renowned director Hayao Miyazaki reacting strongly during an AI presentation conducted by his employees.

“I have absolutely no desire to include this technology in my work whatsoever. It deeply offends me; it feels like an affront to existence itself,” stated the English subtitles of his comments in the clip.

Artist and illustrator Jayd “Chira” Ait-Kaci noted on Bluesky that this tendency is particularly harmful and malevolent due to Miyazaki’s strong criticism of technology.

Ait-Kaci added, ‘It’s always rooted in disdain for artists, each and every time.’

OpenAI is dealing with numerous lawsuits related to alleged copyright violations, which include significant cases such as one brought forth by The New York Times along with additional suits filed by artists, musicians, and publishers.

Meanwhile, the firm is actively advocating for the White House and Congress to include the utilization of copyrighted material by artificial intelligence businesses as part of the fair use doctrine.

Fair use provisions already accommodate search engines and instances involving satire and memes on the internet, permitting businesses to utilize copyrighted content without obtaining authorization.

On Wednesday, Bloomberg reported that OpenAI is nearing the completion of a $40 billion funding round, which will reportedly be led by Japan’s SoftBank Group. This valuation would make it the largest fundraising round in history for a startup company.

OpenAI estimates that its yearly income might surpass $12.7 billion in 2025, an increase from the anticipated $3.7 billion for this year.

Yamaha Unveils New XSR900-inspired Y’s Gear: Upgrade Your Ride in Style

oleh admin | Mar 27, 2025 | merchandise, motor bikes, motorcycle riding, outdoor gear and equipment, technology

Sure, I’ll have one of every item you’re offering.

If you own a
Yamaha XSR900
If you’re into speed and style, then this motorcycle hits all the right notes. It masterfully combines contemporary performance with vintage charm—a powerful inline-triple engine housed in a classic body that invites personalization. Recognizing this appeal, Yamaha has equipped us with Y’s Gear.

So, who even is
Y’s Gear
Think of them as Yamaha’s personal modification and accessory division. Similar to Toyota’s Gazoo Racing or BMW’s M Division, rather than fine-tuning cars for races like the Nürburgring, Y’s Gear focuses on customizing your Yamaha to match both your style and performance preferences. They create and produce officially approved add-ons ensuring perfect fitment without affecting your motorcycle’s handling.

Now, they’ve introduced two fresh enhancements for the 2025 XSR900: a front cowl and a seat cowl. The front cowl introduces a stylish, old-school race car feel that blends perfectly with the fuel tank’s shape. Meanwhile, the seat cowl lends the rear end a bolder appearance designed like a solo rider setup, decorated with graphics similar to those seen on competition number plates. These additions are available in white, black, as well as a special edition ivory shade—to match
Japan-exclusive XSR900 paint scheme
That’s exclusively available for orders till September 30, 2025.

Photo by: Y’s Gear

The price of the front cowl is set at ¥72,050 (approximately $475 USD), whereas the seat cowl has a tag of ¥44,550 (about $295 USD). Despite appearing as exclusive items for sale primarily in Japan, obtaining them elsewhere isn’t likely to pose significant challenges. Through sheer persistence—possibly with assistance from import businesses or global delivery solutions—XSR900 riders across the globe could secure these enhancements relatively effortlessly.

The reason these upgrades are awesome is because they’re directly from Yamaha themselves. It’s like they’re saying, “We designed this motorcycle to be stunning, but we also want you to personalize it.” This approach is quite impressive compared to some other brands that may not encourage modifications. Instead, Yamaha seems to embrace customization wholeheartedly.
customization culture
. Many of us see the XSR900 as more than just a motorcycle; it represents who we are. If you’re aiming for that retro 80s endurance racer vibe or simply wish to set your ride apart, Y’s Gear makes it simpler to achieve that ideal look.

Honestly, things like this just make me appreciate more
Yamaha
even more. They’ve always been a brand that respects riders who want to push limits—whether that’s on the track or in their garage. And for those of us who are already absolute Yamaha simps, this is just one more reason to stay loyal. Now, if they’d just hurry up and release a factory retro-style fairing kit.

I Assure You, There Is No Bias on My Part

Editors’ Pick Awards: The Yamaha XSR900 is My Dream Ride for Classic Style with a Wild Edge

I Recently Purchased a Yamaha XSR900; I Wish I Had Done This Sooner

Source:
Y’s Gear