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Gizmodo tears down a lost iPhone 4 prototype

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April 20: Today in Apple history: Gizmodo tears down lost iPhone 4 prototype April 20, 2010: A day after the most high-profile iPhone leak in history, tech news site Gizmodo dissects a prototype iPhone 4, then publishes the teardown — showing the world exactly what’s inside the soon-to-be-released device.

The iPhone 4 prototype, accidentally left in a bar by 27-year-old Apple software engineer Gray Powell, quickly becomes the biggest story in the tech world. And that’s where the trouble begins.

Gizmodo and the iPhone leak of the century

Gizmodo bought the device for $5,000 from a bar patron who found it after Powell’s historic screwup. The tech publication began posting a series of stories that fueled a massive controversy, not least because of Apple’s reaction to the revelations about its secret prototype.

Gizmodo’s first hands-on look at the iPhone 4 came on April 19, one-and-a-half months before Steve Jobs introduced the device at Apple’s Worldwide Developers Conference (the last iPhone introduction of his career).

Although the prototype iPhone 4 was disguised as an iPhone 3GS, Gizmodo’s teardown revealed details about upcoming design changes: its larger battery; its thinner, more squared-off form factor, and more.

iPhone 4 prototype fuels controversy

Some observers accused Gizmodo of breaking the law by buying the prototype. The biggest controversy, however, resulted from Apple’s aggressive response to the leak.

A week after Gizmodo’s big scoop, police raided the apartment of Gizmodo editor Jason Chen. The raid was ordered by the Rapid Enforcement Allied Computer Team, a California task force commissioned to investigate high-tech crimes. Apple was a member of the task force’s steering committee.

During the raid, police broke through Chen’s door when he did not answer it. They did not arrest the editor, who was out at the time. However, police seized external hard drives, four computers, two servers, phones and other items from his home.

A day after spilling the beans on the iPhone 4 prototype, <em>Gizmodo</em> spills the device's guts with a teardown.
A day after spilling the beans on the iPhone 4 prototype, Gizmodo spills the device’s guts with a teardown.
Photo: Gizmodo

Apple becoming Big Brother?

The law enforcement action raised a number of questions about Apple, which divided public opinion about the company’s actions. On the one hand, Gizmodo owned up to purchasing an iPhone that didn’t belong to it. But a backlash developed against Apple. To some, it appeared as if the company’s insistence on control and secrecy tipped over into arrogance.

The Gizmodo standoff came not long after Apple settled a lawsuit with reporter Nick Ciarelli, resulting in the shuttering of Think Secret. Ciarelli’s massively popular Apple rumor site had broken a number of high-profile stories.

At the time, The Daily Show’s Jon Stewart gave voice to growing concerns about Cupertino’s power and influence.

“You guys were the rebels, man, the underdogs,” Stewart said on his popular show. “But now, are you becoming The Man? Remember back in 1984, you had those awesome ads about overthrowing Big Brother? Look in the mirror, man!”

Fortunately, Powell — the engineer who lost the iPhone 4 — kept his job with Apple. He continued to work on iOS software until 2017. Somewhat amusingly, he listed “security engineering and architecture” as his job title on his LinkedIn profile.



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AirPower Prototype Seen Charging Apple Watch for First Time

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A prototype of Apple’s ill-fated AirPower wireless charger has been seen charging an Apple Watch for the first time.

airpower
‌AirPower‌ was an Apple-designed charging mat designed to charge Qi-based iPhones, the Apple Watch, and ‌AirPods‌ that the company announced in September 2017 alongside the iPhone X. ‌AirPower‌ was designed so that users could place an ‌‌iPhone‌‌, ‌AirPods‌, and Apple Watch on any part of the mat to charge them, which meant that multiple overlapping charging coils had to be included.

It would have prompted devices to display a unique on-screen iOS animation when they were placed on the charging mat, as seen in Apple’s early marketing materials. An ‌iPhone‌ on the ‌AirPower‌ charger would also have shown the charge of all of the devices that were placed on the pad. ‌AirPower‌ missed its original 2018 launch date goal, and after a large number of issues with its development, Apple outright canceled the AirPower project in March 2019.

Images depicting ‌AirPower‌ prototypes first surfaced on social media in August 2020, showing a multi-coil design and the device’s internal circuitry, and the first video footage of the device emerged in August 2021. Multiple other AirPower prototypes have appeared since then, but most are no longer functional.

A new video from the X user “Apple Demo,” who has showcased various Apple prototypes in the past, demonstrates the ‌AirPower‌’s ability to charge an Apple Watch. The device features 16 coils and can charge a DVT prototype Apple Watch Series 4, but it apparently gets quite warm. Late last year, a functional AirPower prototype from early on in its development exhibited some of the severe thermal problems, including burning or melting devices placed on the charging pad, that ultimately led Apple to abandon the project.

‌AirPower‌’s ability to charge an Apple Watch would have been special because Apple’s smartwatch is only able to charge via its magnetic charging puck and does not support Qi. Simply placing an Apple Watch anywhere on the ‌AirPower‌ pad with no magnetic alignment would have been a unique charging experience.

Rumors in subsequent years about Apple’s work on a smaller wireless charger seem to have been related to MagSafe or the ‌MagSafe‌ Duo charger, rather than ‌AirPower‌. Nevertheless, a report from Bloomberg‘s Mark Gurman in 2022 said that Apple is still looking into AirPower-like charging solutions for the future.

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AI chip built using ancient Samsung tech is claimed to be as fast as Nvidia A100 GPU — prototype is smaller and much more power efficient but is it just too good to be true?

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Scientists from the Korea Advanced Institute of Science and Technology (KAIST) have unveiled an AI chip that they claim can match the speed of Nvidia‘s A100 GPU but with a smaller size and significantly lower power consumption. The chip was developed using Samsung‘s 28-nanometer manufacturing process, a technology considered relatively old in the fast-moving world of semiconductors.

The team, led by Professor Yoo Hoi-jun at KAIST’s processing-in-memory research center, has developed what it says is the world’s first ‘Complementary-Transformer’ (C-Transformer) AI chip. This neuromorphic computing system mimics the structure and workings of the human brain, using a deep learning model often employed in visual data processing.

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New Mistral Next prototype large language model (LLM)

Mistral Next prototype large language model LLM 2024

Mistral AI has released a new prototype large language model (LLM) named Mistral Next without much prior information or details. The model is currently available for testing on the Chatbot Arena platform. Users are encouraged to try it out and provide feedback. The model’s capabilities, training, and architecture remain undisclosed, but it has demonstrated impressive reasoning abilities in initial tests. It has been compared to other models on various tasks, including logical reasoning, creative writing, and programming, showing proficiency in each.

The model’s alignment and ethical decision-making have also been explored, with it providing balanced responses and allowing users to steer conversations. Mistral AI has hinted at potentially more detailed information or a more advanced model to be released in the future. This innovative tool is now available for public testing on the Chatbot Arena platform, inviting users to explore and evaluate its advanced capabilities.

As a fresh face in the realm of natural language processing, “Mistral next” is shrouded in a bit of mystery, with many of its features still under wraps. Yet, the buzz is already building, thanks to the model’s display of impressive reasoning abilities. Those who have had the chance to interact with Mistral Next report that it excels in a range of tasks, from solving logical puzzles to crafting imaginative narratives and tackling coding problems. This suggests that “Mistral next” is not just another language model; it’s a sophisticated AI that can think and create with a level of complexity that rivals, and perhaps surpasses, its predecessors.

Mistral Next AI model released

One of the standout qualities of Mistral Next is its text generation. It’s not just about stringing words together; this model can produce text that makes sense and fits the context it’s given. This is a significant step forward in language understanding, as it allows Mistral Next to engage in conversations that feel natural and relevant. When you compare it to other language models on the market, Next seems to have an edge, especially when it comes to tasks that require a deeper level of thought and creativity. Learn more about the new Next large language model released by Mistral AI in the overview demonstration below kindly created by Prompt Engineering.

Another key aspect of Mistral Next is its ethical compass. The developers have designed the model to approach conversations with a sense of balance and thoughtfulness. This is crucial because it ensures that the AI can handle a wide range of discussions, even when users steer the conversation in unexpected directions. The model’s ability to maintain consistent and coherent responses is what makes the interaction engaging and meaningful.

Although the Next LLM is currently in its prototype phase, Mistral AI hints that this is just the start. The company has teased the tech community with the prospect of future updates or the introduction of an even more advanced model. This suggests that “Mistral next” is not just a one-off project but part of a larger plan to push the boundaries of what language models can do.

For those with a keen interest in the potential of AI, Next LLM is a development worth watching. While details about the model are still limited, the initial feedback points to a promising future. The model’s performance in logical reasoning, creative writing, and coding is already turning heads, and its ethical framework adds an extra layer of intrigue. Mistral-AI’s commitment to the evolution of language models is clear, and “Mistral next” is a testament to that dedication.

If you’re eager to see what the Next LLM can do, the Chatbot Arena platform is the place to be. There, you can put the model through its paces and see for yourself how it handles various challenges. Whether you’re a developer, a researcher, or simply someone fascinated by the latest AI technologies, “Mistral next” offers a glimpse into the future of language processing. It’s an opportunity to experience the cutting edge of AI and to imagine the possibilities that lie ahead. So why wait? Dive into the Chatbot Arena and see what “Mistral next” has in store.

Filed Under: Technology News, Top News





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Use ChatGPT to Prototype and Test Your Next Big Thing

ChatGPT

This guide is designed to show you how to use ChatGPT to help you with your brainstorming and creating your next big thing. The spark of an idea ignites in your mind. A whispered solution to a nagging problem, a game-changing invention waiting to be birthed. But the chasm between imagination and reality can yawn wide, daunting even the most determined inventor. Enter ChatGPT, the AI-powered language model poised to bridge that gap and propel your brainchild from dream to prototype.

ChatGPT as Your Idea Incubator

Think of ChatGPT as your personal ideation powerhouse. Its ability to process and generate vast amounts of text unlocks a treasure trove of possibilities for nurturing your fledgling concept. Here’s how:

  • Brainstorming on steroids: Stuck in a creative rut? ChatGPT can jumpstart your brainstorming session. Throw in keywords related to your idea, and watch as it spits out a torrent of related concepts, applications, and potential pitfalls. This rapid-fire exchange can spark unexpected connections and illuminate blind spots, propelling your concept forward.
  • Research rabbit hole: Need to delve deeper into the technical feasibility or market potential of your invention? ChatGPT can be your research assistant extraordinaire. Query it with specific questions, and it will scour the web, synthesize information, and present you with a curated report, saving you hours of digging through dense technical papers or market research reports.
  • World-building extraordinaire: Envisioning the intricate details of your invention is crucial. ChatGPT can be your world-building partner, fleshing out the user experience, crafting compelling product descriptions, and even generating mock marketing materials. Immerse yourself in the simulated reality of your creation, identifying potential kinks and refining your vision.

Prototyping in the Digital Domain

Once your idea has taken shape, it’s time to test its mettle. But traditional prototyping can be expensive and time-consuming. ChatGPT offers a virtual sandbox where you can experiment and iterate with minimal investment:

  • Storyboarding the user journey: Map out the user’s interaction with your invention using ChatGPT’s narrative generation capabilities. Craft branching storylines that explore different scenarios and identify potential pain points. This virtual user testing can reveal flaws and opportunities for improvement before you invest in a physical prototype.
  • Simulating real-world interactions: Does your invention involve complex algorithms or user interfaces? ChatGPT can help you prototype these elements in a simulated environment. Describe the desired functionality, and it will generate code snippets or mock interfaces, allowing you to test and refine your concept without writing a single line of code.
  • Gathering virtual feedback: Sharing your virtual prototype with potential users, investors, or collaborators can be invaluable. ChatGPT can facilitate this process by generating realistic conversation scripts or role-playing scenarios that mimic real-world interactions. This virtual feedback loop can provide valuable insights and validation for your idea.

From Prototype to Polish

ChatGPT’s usefulness extends beyond the initial prototyping phase. As you refine your invention, it can be your:

  • Bug-squashing sidekick: Encountered a technical snag? ChatGPT can help you debug your code or troubleshoot design flaws by analyzing data and suggesting potential solutions.
  • Documentation dynamo: Generating user manuals, technical specifications, or even marketing materials becomes a breeze with ChatGPT’s writing skills. Craft clear and concise documentation that enhances your invention’s appeal and facilitates its adoption.
  • Creative comrade: Need a catchy slogan or a compelling product name? ChatGPT can be your brainstorming buddy, churning out a plethora of options to choose from.

The Human-AI Synergy:

It’s important to remember that ChatGPT is a tool, not a magic wand. Its effectiveness hinges on your ingenuity and guidance. The true power lies in the synergy between human creativity and AI-powered capabilities. Use ChatGPT to push the boundaries of your imagination, test your assumptions, and iterate rapidly. Remember, you are the inventor, the visionary, the driving force behind your creation. ChatGPT is there to empower you, not replace you.

A Future Built on Invention

The future belongs to those who dare to dream and build. With ChatGPT as your accomplice, the journey from idea to invention becomes shorter, smoother, and infinitely more exciting. So, unleash your imagination, embrace the power of AI, and prototype your way to the next big thing. Remember, every groundbreaking invention began as a spark in someone’s mind. Let ChatGPT fan that spark into a roaring inferno of innovation.

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