MAROKO133 Eksklusif ai: Toyota plans drone scouts to help drivers navigate off-road terrai

📌 MAROKO133 Breaking ai: Toyota plans drone scouts to help drivers navigate off-ro

On Tuesday, Toyota Motor filed with the Federal Aviation Administration (FAA) to explore a small drone system to help off-road drivers.

The Japanese automaker aims to give vehicles an aerial “co-pilot” to scout trails and unpaved roads.

The filing marks a new direction for automakers. Drones could become more than delivery tools. They might also be essential for navigating difficult terrain.

The concept envisions drones flying ahead of vehicles to provide drivers with real-time views of the terrain.

According to the company, the system would improve situational awareness in areas where it is unsafe to leave the vehicle. Most flights would stay close to the vehicle, but drones could also fly above the treeline to capture videos of the surroundings.

Why automakers are turning to drones

Toyota’s drone proposal highlights a shift in how the automotive industry sees unmanned aerial systems.

The automaker has already invested heavily in Joby Aviation’s electric air taxis, but this off-road concept targets a very different problem: improving safety and awareness for traditional vehicles.

As drone technology becomes cheaper and regulations evolve, automakers explore aerial systems to solve challenges ground vehicles cannot handle.

In off-road environments, stepping out to scout ahead can be risky. A drone can give drivers a bird’s-eye view of potential hazards without putting anyone in danger.

How the system would work

According to the FAA filing, the company’s drone system would focus on giving drivers clear views of the local environment.

“By providing the driver with views of the local environment, including potential hazards around and underneath the vehicle, drivers can plan safer routes and improve vehicle operations,” the company said.

The drones would operate mainly near the vehicle, with occasional flights above the treeline to help drivers orient themselves or assess terrain.

The system could be useful for overlanders, search-and-rescue teams, or military operations where knowing the terrain in advance is critical. In essence, it would give off-road vehicles their own reconnaissance capability.

Regulatory support and reality check

Toyota’s filing comes as U.S. drone regulations are undergoing major updates. In August 2025, Transportation Secretary Sean Duffy introduced new rules for Beyond Visual Line of Sight (BVLOS) operations to expand commercial drone use.

The proposed rules would allow drones to operate without case-by-case waivers, potentially enabling applications in delivery, agriculture, infrastructure, and automotive systems.

The company referenced the proposed rules in its filing, signaling it may act if the regulations support development. However, the company emphasized that this is only an exploratory concept.

A spokesperson told Reuters, “Toyota is constantly working on new technologies in various fields; we do not have any product plans to announce at this time.”

The filing reflects the Japanese automaker’s testing of regulatory waters and exploring possibilities, not announcing a future product. The off-road drone remains an intriguing idea rather than something drivers will see soon.

🔗 Sumber: interestingengineering.com

📌 MAROKO133 Eksklusif ai: OpenAI Dev Day 2025: ChatGPT becomes the new app store —

In a packed hall at Fort Mason Center in San Francisco, against a backdrop of the Golden Gate Bridge, OpenAI CEO Sam Altman laid out a bold vision to remake the digital world. The company that brought generative AI to the mainstream with a simple chatbot is now building the foundations for its next act: a comprehensive computing platform designed to move beyond the screen and browser, with legendary designer Jony Ive enlisted to help shape its physical form.

At its third annual DevDay, OpenAI unveiled a suite of tools that signals a strategic pivot from a model provider to a full-fledged ecosystem. The message was clear: the era of simply asking an AI questions is over. The future is about commanding AI to perform complex tasks, build software autonomously, and live inside every application, a transition Altman framed as moving from "systems that you can ask anything to, to systems that you can ask to do anything for you." 

The day’s announcements were a three-pronged assault on the status quo, targeting how users interact with software, how developers build it, and how businesses deploy intelligent agents. But it was the sessions held behind closed doors, away from the public livestream, that revealed the true scope of OpenAI’s ambition — a future that includes new hardware, a relentless pursuit of computational power, and a philosophical quest to redefine our relationship with technology.

From chatbot to operating system: The new 'App Store'

The centerpiece of the public-facing keynote was the transformation of ChatGPT itself. With the new Apps SDK, OpenAI is turning its wildly popular chatbot into a dynamic, interactive platform, effectively an operating system where developers can build and distribute their own applications.

“Today, we're going to open up ChatGPT for developers to build real apps inside of ChatGPT,” Altman announced during the keynote presentation to applause. “This will enable a new generation of apps that are interactive, adaptive and personalized, that you can chat with.”

Live demonstrations showcased apps from partners like Coursera, Canva, and Zillow running seamlessly within a chat conversation. A user could watch a machine learning lecture, ask ChatGPT to explain a concept in real-time, and then use Canva to generate a poster based on the conversation, all without leaving the chat interface. The apps can render rich, interactive UIs, even going full-screen to offer a complete experience, like exploring a Zillow map of homes.

For developers, this represents a powerful new distribution channel. “When you build with the Apps SDK, your apps can reach hundreds of millions of chat users,” Altman said, highlighting a direct path to a massive user base that has grown to over 800 million weekly active users. 

In a private press conference later, Nick Turley, head of ChatGPT, elaborated on the grander vision. "We never meant to build a chatbot," he stated. "When we set out to make ChatGPT, we meant to build a super assistant and we got a little sidetracked. And one of the tragedies of getting a little sidetracked is that we built a great chatbot, but we are the first ones to say that not all software needs to be a chatbot, not all interaction with the commercial world needs to be a chatbot."

Turley emphasized that while OpenAI is excited about natural language interfaces, "the interface really needs to evolve, which is why you see so much UI in the demos today. In fact, you can even go full screen and chat is in the background." He described a future where users might "start your day in ChatGPT, just because it kind of has become the de facto entry point into the commercial web and into a lot of software," but clarified that "our incentive is not to keep you in. Our product is to allow other people to build amazing businesses on top and to evolve the form factor of software."

The rise of the agents: Building the 'do anything' AI

If apps are about bringing the world into ChatGPT, the new "Agent Kit" is about sending AI out into the world to get things done. OpenAI is providing a complete "set of building blocks… to help you take agents from prototype to production," Altman explained in his keynote. 

Agent Kit is an integrated development environment for creating autonomous AI workers. It features a visual canvas to design complex workflows, an embeddable chat interface ("Chat Kit") for deploying agents in any app, and a sophisticated evaluation suite to measure and improve performance.

A compelling demo from financial operations platform Ramp showed how Agent Kit was used to build a procurement agent. An employee could simply type, "I need five more ChatGPT business seats," and the agent would parse the request, check it against company expense policies, find vendor details, and prepare a virtual credit card for the purchase — a process that once took weeks now completed in minutes. 

This push into agents is a direct response to a growing enterprise need to move beyond AI as a simple information retrieval tool and toward AI as a productivity engine that automates complex business processes. Brad Lightcap, OpenAI's COO, noted that for enterprise adoption, "you needed this kind of shift to more agentic AI that could actually do things for you, versus just respond with text outputs." 

The future of code and the Jony Ive bBombshell

Perhaps the most profound shift is occurring in software development itself. Codex, OpenAI's AI coding agent, has graduated from a research preview to a full-fledged product, now powered by a specialized version of the new GPT-5 model. It is, as one speaker put it, "a teammate that understands your context." 

The capabilities are staggering. Developers can now assign Codex tasks directly from Slack, and the agent can autonomously write code, create pull requests, and even review other engineers' work on GitHub. A live demo showed Codex taking a simple photo of a whiteboard sketch and turning it into a fully functional, beautifully designed mobile app screen. Another demo showed an app that could "self-evolve," reprogramming itself in real-time based on a user's natural language request. 

But the day's biggest surprise came in a closing fireside chat, which was not livestreamed, between Altman and Jony Ive, the iconic former chief design officer of Apple. The two revealed they have been collaborating for three years on a new family of AI-centric hardware.

Ive, whose design philosophy shaped the iPhone, iMac, and Apple Watch, said his creative team’s purpose "became clear" with the launch of ChatGPT. He argued that our current relationship with techn…

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🔗 Sumber: venturebeat.com