We don’t usually speculate on the true identity of the hackers behind these projects, but when [TN666]’s accoustic drone-detector crossed our desk with the name “Batear”, we couldn’t help but wonder– is that you, Bruce? On the other hand, with a BOM consisting entirely of one ESP32-S3 and an ICS-43434 I2S microphone, this isn’t exactly going to require the Wayne fortune to pull off. Indeed, [TN666] estimates a project cost of only 15 USD, which really democratizes drone detection.
It’s not a tuba– Imperial Japanese aircraft detector being demonstrated in 1932. Image Public Domain via rarehistoricalphotos.com
The key is what you might call ‘retrovation’– innovation by looking backwards. Most drone detection schema are looking to the ways we search for larger aircraft, and use RADAR. Before RADAR there were acoustic detectors, like the famous Japanese “war tubas” that went viral many years ago. RADAR modules aren’t cheap, but MEMS microphones are– and drones, especially quad-copters, aren’t exactly quiet. [TN666] thus made the choice to use acoustic detection in order to democratize drone detection.
Of course that’s not much good if the ESP32 is phoning home to some Azure or AWS server to get the acoustic data processed by some giant machine learning model. That would be the easy thing to do with an ESP32, but if you’re under drone attack or surveillance it’s not likely you want to rely on the cloud. There are always privacy concerns with using other people’s hardware, too. [TN666] again reached backwards to a more traditional algorithmic approach– specifically Goertzel filters to detect the acoustic frequencies used by drones. For analyzing specific frequency buckets, the Goertzel algorithm is as light as they come– which means everything can run local on the ESP32. They call that “edge computing” these days, but we just call it common sense.
The downside is that, since we’re just listening at specific frequencies, environmental noise can be an issue. Calibration for a given environment is suggested, as is a foam sock on the microphone to avoid false positives due to wind noise. It occurs to us the sort physical amplifier used in those ‘war tubas’ would both shelter the microphone from wind, as well as increase range and directionality.
[TN] does intend to explore machine learning models for this hardware as well; he seems to think that an ESP32-NN or small TensorFlow Lite model might outdo the Goertzel algorithm. He might be onto something, but we’re cheering for Goertzel on that one, simply on the basis that it’s a more elegant solution, one we’ve dived into before. It even works on the ATtiny85, which isn’t something you can say about even the lightest TensorFlow model.
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Thanks to [TN] for the tip. Playboy billionaire or not, you can send your projects into the tips line to see them some bat-time on this bat-channel.
Only revealed publicly last week, X rival Bluesky has confirmed it raised a $100m Series B round in April last year under Jay Graber, led by Bain Capital Crypto.
The April 2025 funding round was led by Bain Capital Crypto, with participation from Alumni Ventures, Anthos Capital, Bloomberg Beta, Knight Foundation and True Ventures.
“In the months since, we’ve focused on scaling our team to meet the rapid growth of both the AT Protocol (atproto) and Bluesky app,” Bluesky said in a statement revealing the funding. “We’re excited to share more as we move into a new era of leadership and further growth.”
Bluesky confirmed the raise was led by Jay Graber, who recently announced she was stepping aside as CEO to become chief innovation officer and to focus on “building the future of open social infrastructure”.
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It said the funding has given the social media platform “the foundation upon which to build the future of the open social web without compromising our mission and values”.
Bluesky raised its Series A round in October 2024, and has since grown from 13m users to more than 43m. Bluesky says the “Atmosphere” – the ecosystem of builders, apps and users on atproto – has also been expanding.
“Every week, people use over a thousand apps built on atproto,” the statement said. “Every month, we see over 400,000 SDK downloads. The Atmosphere currently contains about 20bn public records – the posts, likes, comments and other interactions that bring the ecosystem to life.”
Bluesky was first announced in 2019 as a Twitter-funded project that aimed to create an “open and decentralised standard for social media”. It began as an invite-only app and had more than 3m sign-ups before it went open access.
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Graber had led the decentralised social media platform since 2021, having worked on it when it was a research project.
On March 9 she said Bluesky needed “a seasoned operator focused on scaling and execution”, while she returns to what she does best – “building new things”.
“As part of this transition, Toni Schneider, former CEO of Automattic [the company behind WordPress] and partner at True Ventures, will join our team as interim CEO, while our board runs a search for a permanent chief executive,” said Graber.
When Elon Musk’s ownership of X led to the removal of moderators and previously banned extreme voices were allowed back onto the platform, many flocked to Bluesky as a more palatable social network, and it saw rapid growth in users. However, in recent times its growth has slowed somewhat, although it has a considerable user base of 43m.
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Malaysia’s digital asset scene is getting a fresh wave of attention after a royal linked project moved into the spotlight with a major stablecoin plan. The development has put crypto back at the center of financial conversations in the country, especially because it involves a ringgit backed token tied to a member of the Johor royal family and an initial 500 million ringgit investment, which is about 121 million US dollars. Bloomberg reported that the project is linked to Bullish Aim and its RMJDT stablecoin, a token designed for payments and backed by local currency cash deposits and short term Malaysian government bonds.
For Malaysia, this is not just another digital token story. It lands at a time when the country is exploring how blockchain, regulated digital finance, and real world payment systems can fit into a more modern financial ecosystem. That is why the market is taking notice. A royal linked endorsement brings visibility, credibility, and curiosity, and it immediately raises questions about how crypto stablecoins could eventually be used in payments, trade, and domestic business activity.
Why This Announcement Matters in Malaysia
The stablecoin story matters because Malaysia has often taken a cautious and structured approach to financial innovation. Local regulators, banks, corporate groups, and investors have generally preferred measured progress rather than uncontrolled hype. When a high profile figure becomes associated with a ringgit backed stablecoin, the conversation shifts from speculation alone to practical use cases and long term relevance.
A high profile signal for digital finance
The royal connection gives the project a different kind of weight in the Malaysian market. It does not automatically mean mass adoption will happen overnight, but it does increase public awareness. Many people who may have ignored digital assets in the past are now more likely to pay attention because the initiative appears more serious, more visible, and more connected to national financial interests.
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A ringgit focused narrative
What makes this especially important for Malaysia is that the token is built around the ringgit rather than a foreign currency. That local angle changes the discussion. Instead of being seen only as another global digital asset play, it starts to look like a Malaysia centric financial experiment that could one day support payments, settlements, and cross border activity in a way that reflects local priorities. Bloomberg said the token is pegged to the Malaysian ringgit and backed by ringgit linked reserves, which makes the project stand out from dollar based stablecoin narratives that usually dominate headlines.
This is why the market reaction goes beyond simple excitement. Investors and businesses are trying to understand whether this could become a stepping stone toward more localized digital finance infrastructure.
What the $121 Million Figure Is Signaling
The reported 500 million ringgit commitment has become one of the biggest reasons the story is drawing attention. In financial terms, the number matters because it suggests scale, ambition, and long term planning. Smaller token launches can often be dismissed as experiments, but a project linked to 121 million US dollars immediately signals something more substantial. Bloomberg reported that the initial 500 million ringgit investment was tied to plans for a digital asset treasury company alongside the stablecoin effort.
A move that feels bigger than publicity
The size of the investment creates the impression that this is not only about headlines. Market participants tend to take larger commitments more seriously because significant capital usually implies detailed planning, legal structuring, and an intention to build something durable. In Malaysia, where trust and credibility are essential in finance, that matters a lot.
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A bridge between traditional wealth and new technology
The deal also carries symbolic importance. It represents a meeting point between traditional influence and emerging technology. That combination often grabs attention because it suggests digital finance is no longer limited to startups and niche investors. Instead, it begins to enter spaces associated with established power, legacy capital, and institutional thinking.
For Malaysia, that symbolism could be just as powerful as the money itself. It tells the market that blockchain based finance is being noticed at the highest levels, and that alone can shift sentiment.
What This Could Mean for Malaysia’s Financial Future
The real question is not whether the headline is big. It clearly is. The deeper question is what happens next and whether the stablecoin can contribute to meaningful financial use cases inside Malaysia.
Payments and business settlement potential
Stablecoins are often discussed as faster and more efficient tools for moving value. If a ringgit backed token is properly structured and used within defined ecosystems, it could help support more efficient settlement between businesses, digital commerce platforms, or cross border commercial networks. That possibility is one reason stablecoins continue to attract attention globally.
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Corporate interest is already growing
This story also arrives against a broader backdrop of rising corporate curiosity in Malaysia. In February, DRB Hicom said it had signed a memorandum of understanding with Geno to explore a ringgit backed stablecoin for use within its ecosystem and selected external participants. That shows the idea of a Malaysian stablecoin is no longer limited to one headline grabbing project.
Trust will decide everything
Still, visibility alone is not enough. For this project to matter beyond the news cycle, the market will want clarity, compliance, reserve transparency, and a clear understanding of how the token will actually be used. Malaysians are increasingly open to digital finance, but they are also more alert to risks than before. Confidence will depend on governance and execution, not only on prestige.
That is why this moment feels important. It may mark a shift in perception, but the next stage will depend on whether the project can convert attention into practical value.
Conclusion
A royal family linked stablecoin backed by a reported 500 million ringgit commitment has given Malaysia one of its most talked about digital finance stories in recent months. The size of the investment, the ringgit based structure, and the high profile backing have combined to create real market interest rather than passing curiosity. Bloomberg’s reporting on RMJDT and the parallel corporate interest seen in Malaysia suggest that stablecoins are now being discussed in a more serious national context.
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For Malaysia, the significance of this story lies in what it represents. It shows that digital assets are moving closer to mainstream financial conversation, with local currency relevance and stronger institutional visibility. The market is taking notice because this no longer looks like a distant global trend. It looks increasingly like a Malaysian story.
Users can now text Claude Code using Discord and Telegram.
Anthropic is responding to the OpenClaw frenzy by connecting Claude Code into text channels, allowing users to control the bot via a two-way chat.
Peter Steinberger’s open source project OpenClaw has managed to capture a large audience since launching in November. The tool is especially popular in China, where OpenAI and Anthropic do not provide their services commercially.
Chinese technology leaders, including Alibaba, Baidu, ByteDance, Tencent and MiniMax have already launched OpenClaw-based apps in the country. Tencent launched a new tool on Sunday (22 March) that lets its WeChat messaging platform integrate with OpenClaw agents.
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OpenClaw’s appeal to a large audience lies in its low barrier to entry. It lets users create personal AI agents – for a variety of tasks – that can be accessed and instructed via chat apps such as WhatsApp, Telegram and Discord.
However, personal agents such as OpenClaw need to be given access to a user’s computer (the extent varies, depending on the use case), increasing the risk of cybersecurity incidents.
The recent strong agentic AI uptake has moved China to restrict state-run enterprises and government agencies from running OpenClaw apps on office computers.
Anthropic is trying to counter OpenClaw’s appeal by offering a similar feature called ‘Claude Code Channels’, with a stronger brand identity and added security features. According to Anthropic, admins can manage channels, and every approved channel plugin maintains a sender ‘allow-list’.
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A channel is a model context protocol server, the standard for connecting AI apps to external systems.
The channels let users text and instruct the coding bot via Discord and Telegram. Previously, Claude Code users could only interact with the agents via the Claude desktop app, terminal, supported developer environments or the Claude mobile app.
The potential security issues associated with OpenClaw have also inspired other offshoots, including Nvidia’s open source stack NemoClaw, AI start-up Kilo’s KiloClaw, and NanoClaw.
Meanwhile, Google plans to develop an AI agent that can navigate the Chrome browser and complete tasks on behalf of a user, reported Wired recently.
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Earlier this month, Meta snapped up the viral ‘human-free’ platform for AI agents called Moltbook, developed using OpenClaw technology. A month earlier, OpenAI had poached its creator.
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Graphics calculators are one of those strange technological cul-de-sacs. They rely on outdated technology and should not be nearly as expensive as they are, but market effects somehow keep prices well over $100 to this day. Given that fact, you might like to check out an open-source solution instead.
NumOS comes to us from [El-EnderJ]. It’s a scientific and graphic calculator system built to run on the ESP32-S3 with an ILI9341 screen. It’s intended to rival calculators like the Casio fx-991EX ClassWiz and the TI-84 Plus CE in terms of functionality. To that end, it has a full computer algebra system and a custom math engine to do all the heavy lifting a graphic calculator is expected to do, like symbolic differentiation and integration. It also has a Natural V.P.A.M-like display—if you’re unfamiliar with Casio’s terminology, it basically means things like fractions and integrals are rendered as you’d write them on paper rather than in uglier simplified symbology.
If you’ve ever wanted a graphics calculator that you could really tinker with down to the nuts and bolts, this is probably a great place to start. With that said, don’t expect your local school or university to let you take this thing into an exam hall. They’re pretty strict on that kind of thing these days.
Elon Musk took the stage over the weekend to announce a new partnership between Tesla, SpaceX and xAI to build a $25 billion chip-making factory in Austin, Texas, called Terafab.
Acknowledging Samsung, TSMC and other chipmakers, Musk said the Terafab project needs to get off the ground because existing semiconductor partners aren’t making chips fast enough. If built, Terafab would be the largest semiconductor manufacturing plant in the world.
Bringing more semiconductor facilities to the US isn’t new. The CHIPS Act of 2022 saw a dramatic rise in announcements for further investments in such facilities on American soil. Nvidia began manufacturing chips in its Arizona factory last year, and the motivation wasn’t only due to tariffs.
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The CHIPS Act has paid out for several chip-making projects, including Intel’s massive $8 billion factory, though the introduction of additional semiconductor fabs in the US has been slow. Terafab would be a significant addition to the infrastructure for onshore chip making in the US, and by far the most expensive. There’s no word yet on whether Terafab would receive funding under the CHIPS Act.
Powering all of your electronic devices are chips that serve as their brains. They vary from the likes of Apple’s M series to Nvidia’s Vera Rubin CPU and beyond. The Terafab project aims to ease the current shortage of chips powering devices that will bring AI robotics and more to life. (The AI boom has also brought about a massive RAM shortage, with no expected relief until 2028, affecting prices on electronics like smartphones and laptops.)
Musk gave details on two of the chips he plans to build, the AI5 and AI6, which would power the likes of existing earthly ventures, such as Tesla’s Optimus robots and self-driving cars. Also detailed was the D3 chip, which he said would be made for orbital satellites in space. This type of ambition isn’t just coming from Musk, either. Nvidia announced similar goals to build orbital AI data centers during its GTC conference last week.
The project aims to have every piece of the manufacturing process take place at the facility to churn out chips by the billions, targeting the 2-nanometer process. Musk believes the project will help propel us into becoming a “galactic civilization.”
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It sounds like an ambitious project, though not everyone is buying it. Musk has historically announced wild projects, like the “million-mile” battery that never quite got off the ground. Whether the Terafab facility actually becomes a reality is a waiting game for now.
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After 400 years underwater, a Swedish Navy vessel in the Baltic Sea off Stockholm has become visible. Sunk on purpose back in the 17th century, the ship has resurfaced after the waters reached their lowest level in the past 100 years. Marine Archeologist, Jim Hansson, from Stockholm’s Vrak Museum of Wrecks, explained the conditions which led to its reemergence to AFP, as reported by CBS. “There has been a really long period of high pressure here around our area in the Nordics. So the water from the Baltic has been pushed out to the North Sea and the Atlantic.” .
The unidentified ship was sunk around 1640 so it could be used to form the foundation of a bridge connecting to the Kastellholmen island. There are currently five sunken ships in the area. The Swedish Navy is looking into reusing their oak hulls rather than using new wood. Researchers are currently attempting to identify these sunken ships as part of a research program called “The Lost Navy.”
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How did the shipwreck survive underwater for 400 years?
It might seem baffling that a wooden ship could survive in the ocean for 400 years, but the Baltic Sea had the right conditions to keep the Swedish Navy vessel largely intact. According to Hansson, that part of the ocean doesn’t have shipworms, meaning the sunken ship wasn’t eaten. Shipworms, which can grow up to two meters long, are sea creatures that use bacteria in their gut to break down wood and consume it. They’re so proficient at it that they can sink a boat.
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Rather than rotting the wood away as you’d possibly expect, the water actually keeps the boat intact — especially at deep levels — creating a time capsule of sorts. In fact, most boats can remain undisturbed deep under the water indefinitely — but bringing the shipwreck to the surface can cause the wood to break down since it was only being held together by water between its cells.
This has been a big issue with recovering the Vasa, another vessel in Sweden that sank back in 1628. Its wood is being ruined by iron and metal pieces that have started to acidify, now it’s out of the water. Scientists discovered that earth alkaline hydroxides can neutralize the acid, stopping the chemical reaction that destroys the wood, but it’s still a challenge to preserve uncovered shipwrecks. This means the low water levels in the Baltic Sea could pose a problem for the newly uncovered warship.
Ali Farhadi speaks at the Tech Alliance State of Technology annual luncheon in Seattle, May 2024. (GeekWire File Photo / Todd Bishop)
Microsoft is hiring a group of top AI researchers from the Seattle-based Allen Institute for AI and the University of Washington, including former Ai2 CEO Ali Farhadi, GeekWire has learned.
Farhadi, Hanna Hajishirzi, and Ranjay Krishna are expected to join Mustafa Suleyman’s organization at Microsoft while retaining their faculty positions at the UW’s Allen School of Computer Science and Engineering. Also joining is Sophie Lebrecht, the former Ai2 chief operating officer.
The move follows Farhadi’s departure from Ai2, announced March 12. Farhadi had led the Seattle-based nonprofit research institute for more than two and a half years.
Suleyman, the CEO of Microsoft AI, narrowed his focus last week from overseeing consumer-oriented Copilot products to leading Microsoft’s Superintelligence team.
The hires come as Microsoft works to reduce its dependence on OpenAI for frontier AI models, competing against Amazon, Google, and others. Suleyman’s Superintelligence team, formed in November, is part of a broader push to further develop advanced foundation models.
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Microsoft has already hired researchers from Google DeepMind, Meta, OpenAI, and Anthropic, and the addition of the Ai2 and UW group would bring deep expertise in open-source model development and training efficiency — where Ai2 has punched well above its weight.
Backing from NSF and Nvidia
The exits represent a notable collective loss for Ai2, which was founded in 2014 by the late Microsoft co-founder Paul Allen. Hajishirzi is a co-lead of the OLMo open-source language model project and a co-principal investigator on a $152 million, five-year initiative backed by the National Science Foundation and Nvidia to build open AI models for scientific research.
She represented Ai2 in multiple sessions last week at Nvidia’s GTC conference in San Jose, including a panel on the future of open models alongside Nvidia CEO Jensen Huang.
Krishna has led the development of Ai2’s Molmo multimodal models, among other projects. He also presented at the Nvidia conference last week on behalf of the institute.
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Farhadi, a computer vision specialist, co-founded Ai2 spinout Xnor.ai, which Apple acquired in 2020 for an estimated $200 million. He led machine learning efforts at Apple before returning to lead Ai2 as CEO in July 2023.
Ai2 interim CEO Peter Clark acknowledged the departures in a statement, saying the institute remains committed to its mission and its partnerships with the NSF and Nvidia, including the OMAI initiative.
“These initiatives are backed by a broad, experienced team with the expertise and continuity needed to carry this work forward,” Clark said. “We’re confident in our ability to build on the strong foundation already in place and to expand the impact of these efforts in the months ahead.”
He added that the institute is “grateful for the leadership and contributions of Ali, Hanna, Ranjay, and others” in advancing Ai2’s work, and wished them well.
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In a post about the hires on LinkedIn, Suleyman praised Farhadi for leading Ai2 in releasing more than 100 models in a single year and called Hajishirzi “one of the most cited researchers of natural language processing in the world, full stop.”
Suleyman described Lebrecht as having scaled Ai2’s operations and open-source efforts, noting that she also co-founded the AI company Neon Labs and holds a PhD in cognitive neuroscience from Brown University.
He said they will help pursue Microsoft’s mission of “humanist superintelligence: safer, controllable, more capable AI systems in service of humanity and our toughest problems.”
When news broke earlier this month that Farhadi was leaving, Ai2 board chair Bill Hilf told GeekWire that Farhadi wanted to pursue research at the extreme frontier of AI, where for-profit companies are spending billions on training the most advanced models.
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At the time, Hilf said the board had to weigh whether a nonprofit’s philanthropic dollars were best spent trying to keep pace, acknowledging that competing against tech giants at the largest scale of model development had become extraordinarily difficult.
Changes in Ai2’s funding realities
Behind the scenes, the changing nature of Ai2’s funding environment has also been playing a role in the exits, according to people with knowledge of the situation.
Ai2 was originally funded by Allen’s Vulcan Inc. and later by his estate. Its primary backer is now the Fund for Science and Technology, a $3.1 billion foundation created under Allen’s instructions and publicly launched in August, with a focus on applying science and technology to problems in areas aligned with Allen’s passions, including AI, bioscience, and the environment.
FFST, led by CEO Dr. Lynda Stuart, a physician-scientist who previously led the Institute for Protein Design at the UW, favors applied uses of AI over the costly work of frontier models.
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In addition, while all Ai2 programs for 2026 are fully funded, these people said, FFST is moving from providing Ai2 with overall annual funding to a proposal-based process, with future support expected to favor real-world applications of AI over building open-source foundation models. The shift helps explain the departures of researchers focused on model development.
A spokesperson for the Fund for Science and Technology said Ai2’s “work and mission remain the same” and that FFST’s broader program strategies are still under development.
Farhadi, Hajishirzi, and Krishna are researchers whose work centers on building and advancing AI models. Microsoft’s Superintelligence team, backed by billions in compute investment, offers the resources and mandate to pursue that work at a much larger scale.
Supercapacitors rely mostly on double-layer capacitance to bridge the divide between chemical batteries and traditional capacitors, but they come with a number of weaknesses. Paramount among these are their relatively low voltage of around 2.7 V before their electrolyte begins to decompose, as well as their relatively high rates of self-discharge. Here a new design using lignin-derived porous carbon electrodes and a fluorinated diluent was demonstrated by [Shichao Zhang] et al., as published in Carbon Research, that seems to address these issues.
Most notable are the relatively high voltage of 4 V, an energy density of 77 Wh/kg and a self-discharge rate that’s much slower than that of conventional supercapacitors. In comparison with these supercapacitors, these demonstrated versions are also superior in terms of recharge cycles with 90% of capacity remaining after 10,000 cycles, which together with their much higher energy density should prove to be quite useful.
This feat is accomplished by using lignin as the base for the carbon electrodes to make a highly porous surface, along with the new electrolyte formulation consisting of alithium salt (LiBF4) dissolved in sulfolane with TTE as a non-solvating diluent. The idea of using lignin-derived carbon for such a purpose has previously been pitched by [Jia Liu] et al. in 2022 and [Zhihao Ding] in 2025, with this seemingly one of the first major applications we may be seeing.
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Although the path towards commercialization from a lab-assembled prototype is a rough one, we may be seeing some of these improvements come to supercapacitors near you sooner rather than later.
ChatGPT can now help you find and book a rental car thanks to a new Turo integration that launched Monday. The Turo app for ChatGPT allows you to just tell the AI chatbot what you’re looking for — from pickup location and dates to number of seats, EV preference and more — using natural language, and be presented with real Turo rental cars, advice and links directly to the Turo website to book.
Turo is a peer-to-peer marketplace that lets private owners rent out their personal vehicles to travelers and locals. I like to think of it as the “Airbnb of cars” or drive-it-yourself Uber. Unlike traditional rental agencies that own and maintain large fleets of cars, Turo merely provides the tech, insurance and support to connect vehicle hosts with guest drivers. Turo has proven to be a popular alternative to the airport rental counter thanks to its more varied selection of unique car models (including luxury or high-tech vehicles), competitive pricing, and the convenience of having certain vehicles delivered.
And now, it has a ChatGPT integration. You can access the new Turo app within ChatGPT by first searching for and then adding Turo to the list of available agents in ChatGPT’s Apps menu. Once connected, adding “@Turo” to any chat with the AI bot will trigger the new functionality.
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I fired up ChatGPT after setting it up for myself and typed the prompt: “@Turo, I’m going to be landing in Atlanta on Friday and would like to rent an EV for the weekend with enough range to make it to Augusta. What’s available?”
I used natural language to find available cars on the Turo service using ChatGPT.
Screenshot by Antuan Goodwin/CNET
The app replied with listings of vehicles currently available to rent near the airport with enough range to make the approximately 300-mile round trip with as little as one quick top-up. Each listing featured photos, price estimates (including tax and fees), star ratings and the number of times each car had been rented.
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Clicking on a listing took me straight to the Turo website (or app on mobile) to complete the booking. I also tried asking for “an EV near my home that seats six people” and “a hybrid that would be useful for moving,” and found the results to be adequate.
In addition to the listings, ChatGPT and Turo provided details (like range) about each car as well as pros and cons, such as Tesla’s plentiful Superchargers between Atlanta and Augusta or the Kia EV6’s very fast charging speed. Overall, the new functionality looks like a fairly convenient and decent starting point for someone who knows nothing about cars to choose a rental.
Turo’s app for ChatGPT is the latest example of AI’s rapid advance into every aspect of the automotive industry, from natural language AI assistants in the dashboard to AI-powered inspection of rental car returns.
(Disclosure: Ziff Davis, CNET’s parent company, filed a lawsuit against OpenAI last year, alleging it infringed Ziff Davis copyrights in training and operating its AI systems.)
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