[This is a sponsored article with HelloRide.]

Walk around your estate, MRT station, park connector, or even the CBD, and chances are you’ve come across these bright blue shared bicycles—HelloRide has quietly become part of everyday life in Singapore.

Launched in Singapore in 2022, the firm has grown to become one of the largest in the city-state, with a fleet of 20,000 shared bicycles here. 

So what’s actually behind its growing presence? 

It’s not just about putting more bikes on the road, but how the service has been designed from removing common user frustrations to constantly improving the bicycles and working with partners across Singapore’s mobility ecosystem.

No top-ups, no deposits, no friction

One of the first things HelloRide focused on was removing some of the biggest friction points that riders commonly face. 

Instead of requiring users to top up their wallets or place deposits before they can start riding, the platform allows users to simply unlock a bike and pay after the ride. 

It is currently the only shared bicycle operator in Singapore offering this pay-after-ride model, with rides starting from S$1. There’s also no minimum balance to maintain and no locked funds sitting in an account.

For many riders, especially those who have used bike-sharing services in the past, this addresses a very real pain point, from needing to top up S$10 just to start a ride, to dealing with unused balances or delayed deposit returns.

At the same time, HelloRide also offers subscription passes for more regular users. With passes priced from as low as S$0.22 per day, riders can enjoy unlimited free usage for the first 30 minutes of every ride, making it a cost-effective option for daily commuting.

Overall, HelloRide makes bike-sharing more accessible for both casual riders and daily commuters.

Keeping the fleet fresh

Another factor that often goes unnoticed is the condition of the bicycles themselves.

HelloRide operates on a relatively aggressive fleet renewal cycle, replacing its bicycles approximately every 1.5 years. As part of its ongoing upgrade efforts, the company will be replacing around 9,000 older bicycle models this year alone.

This ensures that riders are consistently using newer bicycles that are better maintained, more reliable, and designed with improved safety features.

For users, this translates into something simple but important: peace of mind when riding. Whether it’s a short trip to the MRT or a longer ride across the park, having a well-maintained and up-to-date bicycle makes a noticeable difference in both comfort and safety.

Rather than maximising the lifespan of each bicycle, HelloRide’s approach prioritises rider experience and operational reliability, ensuring that the fleet on the ground remains in optimal condition.

Moreover, the firm also continuously iterates and develops new bicycle designs based on how people actually ride in Singapore. Over time, it noticed recurring user feedback requesting features such as shared e-bikes and bicycles with gears, particularly for users travelling longer distances or riding in leisure areas such as East Coast Park and Marina Bay.

However, while fully shared e-bikes are currently not permitted under Singapore regulations, traditional external geared bicycles can also create significant maintenance and operational challenges when deployed at large fleet scale. 

To bridge this gap, HelloRide has developed a new hybrid bicycle concept featuring automatic internal gearing, designed to provide a smoother and more comfortable riding experience while maintaining operational sustainability and maintenance efficiency.

As part of this effort, the company is preparing to roll out the new hybrid bicycle model under a pilot programme in selected areas such as East Coast Park and Marina Bay in June. The bicycles are designed with enhanced ergonomics and improved riding posture, catering to users who spend more time on the bike and require a more comfortable riding experience over longer distances.

“Our approach has always been to build and refine our bicycles based on real user behaviour, rather than forcing a single model across all scenarios,” said Hayden Choo, the 32-year-old Managing Director of HelloRide Singapore. 

“Singapore is an important market for us, and we see it as a place where we can continuously test and introduce better riding experiences.”

Integrating into everyday platforms & brands

Beyond its core bike-sharing service, HelloRide has been expanding into a broader, more integrated mobility ecosystem—not just through transport platforms, but also through lifestyle and brand collaborations.

Instead of requiring users to download yet another standalone app, HelloRide has embedded its services into the platforms people already use in their daily lives. This includes the Grab miniapp ecosystem, allowing users to locate and unlock bicycles directly within the Grab platform, as well as collaborations such as bundled mobility passes with partners like Ryde.

At the same time, the company has also moved into advertising and brand partnerships, working with names such as Razer, ClassPass, and ZUS Coffee. These collaborations turn HelloRide bicycles into moving touchpoints across the city, allowing brands to reach users in a visible and contextual way.

Together, these efforts position HelloRide not just as a bike-sharing operator, but as part of a wider urban lifestyle ecosystem.

Supporting gig workers

HelloRide’s expansion has also extended into partnerships with gig economy platforms, particularly in supporting delivery riders who rely on mobility for their daily income.

In collaboration with partners such as foodpanda, HelloRide is providing premium foldable and road bicycles to new delivery riders as part of their onboarding process. These bicycles offer a higher-performance alternative for riders who may not yet own their own equipment, allowing them to get started more quickly and operate more efficiently.

At the same time, through ongoing engagement with riders on the ground, HelloRide has identified additional challenges, particularly around battery limitations for power-assisted bicycles (PABs), which may not always last a full working day. 

To address this, the company is exploring battery swapping infrastructure aimed at reducing downtime and enabling riders to maximise their earning potential.

Taken together, these initiatives reflect a broader approach: not just serving riders, but actively supporting the ecosystem that depends on them.

Beyond shared bicycles

Looking ahead, HelloRide is exploring the possibility of expanding into physical retail, bringing premium bicycle experiences closer to everyday users. This includes well-known brands such as Brompton and Canyon, which are typically associated with high-quality, performance-oriented bicycles.

By introducing these models through rental or leasing options, HelloRide aims to give users the opportunity to test ride premium bicycles without the pressure of committing to a full purchase upfront. 

In other words, this could be your chance to try before you buy, whether you’re curious about upgrading your ride or simply want to experience a higher-end bicycle, without worrying about buyer’s remorse.

HelloRide’s growing presence in Singapore isn’t driven by just one thing, but a combination of deliberate choices, from simplifying the user experience and keeping the fleet fresh, to continuously improving its bicycles and working with partners across everyday platforms. 

Leading this growth is Hayden, who has spent years in Singapore’s mobility and ride-hailing ecosystem. Under his leadership, HelloRide Singapore’s focus on ecosystem integration and operational localisation is an approach that has paid off.

“Anyone can deploy bicycles. But building a sustainable mobility platform in Singapore requires understanding local user behaviour, maintaining operational discipline, and continuously improving the rider experience,” said Hayden. 

It’s an approach that we believe has paid off in the form of increasingly visible ridership across Singapore.

Hayden Choo, the 32-year-old Managing Director of HelloRide Singapore

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Featured Image Credit: HelloRide

Mira Murati still wants to build AI superintelligence. But the ex-CTO of OpenAI sees human intelligence as a critical part of the equation.

At a time of rising worry over AI eliminating jobs and increasing the power of few big companies, Murati’s startup, Thinking Machines Lab, offers a radically different vision of the technology.

“At some point we will have super-intelligent machines,” Murati tells WIRED. “But we think that the best way to actually have many possible futures—good futures—is to keep humans in the loop.”

Murati says AI doesn’t need to automate humans out of the equation. A more optimistic approach, she suggests, is to let people build and customize their own frontier AI models, then work with those models to achieve their goals.

This week, Thinking Machines previewed a new kind of AI model that it says points toward a more human-inclusive reality. The company’s “interaction models” are trained to communicate with a person through a camera and microphone. Unlike many existing voice-mode interfaces, the new models do not simply capture and transcribe speech, then feed it into a language model that processes it in the same way as a chatbot. The interaction models natively understand continuous, messy, human communication—meaning they are better able to grasp the meaning of pauses, interruptions, and changes in tone. This allows them to adapt on the fly when someone clarifies a point or changes the subject. The company showed off several videos demonstrating these capabilities, though the models have not been released publicly.

Murati’s approach stands in contrast to how most big AI companies seem to be pursuing superintelligence today. OpenAI, Anthropic, Google are developing large models that do increasingly complex work, including writing entire software applications from scratch, via a text prompt. This requires little help from a human.

Thinking Machines is not the only startup to envision a more human-inclusive future. Other labs, including Humans&, also aim to develop AI systems that prioritize human collaboration. Some prominent economists have called for AI researchers and companies to build systems in this way, focusing on human empowerment rather than replacement.

Murati left her role as the chief technology officer of OpenAI in 2024, cofounding Thinking Machines with several prominent engineers. Thinking Machines has raised billions of dollars to build frontier AI.

So far, however, the company has released only one product. Tinker, launched in October 2025, makes it possible to refine a frontier AI model using custom data. Today, it is available as an API that researchers and engineers can use to fine-tune open source models.

Alexander Kirillov, a founding team member of Thinking Machines and an expert on multimodal AI, meaning models that handle audio and video as well as text, says the lab’s new interaction models also have the potential to enable more customized and personalized AI.

“The model constantly perceives what you’re doing and is constantly there to be able to reply and give you information or search for information or use other tools,” Kirillov says. “This is something that none of [today’s other] models can actually do. The turns [in a conversation] are determined by a much less intelligent system.”

Mira says it’s all part of a bigger AI vision.

“This is showing the first bet on human collaboration,” she explains. “Where this is going is really amplifying people’s own preferences and values, with AI actually understanding intent and predicting intent.”

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The TeamPCP hacker group is threatening to leak source code from the Mistral AI project unless a buyer is found for the data.

In a post on a hacker forum, the threat actor is asking $25,000 for a set of nearly 450 repositories.

Mistral AI is a French artificial intelligence company founded by former researchers from Google’s DeepMind and Meta, which provides open-weight large language models (LLMs), both open source and proprietary. 

​In a statement to BleepingComputer, Mistral AI confirmed that hackers compromised a codebase management system after the Mini Shai-Hulud software supply-chain attack.

The incident started with the compromise of official packages from TanStack and Mistral AI through stolen CI/CD credentials and legitimate workflows.

Then it spread to hundreds of other software projects on the npm and PyPI registries, including UiPath, Guardrails AI, and OpenSearch.

“They [the hackers] contaminated some of our SDK packages for a brief period,” the company said.

TeamPCP claims to have stolen nearly 5 gigabytes “of internal repositories and source code” that Mistral uses for training, fine-tuning, benchmarking, model delivery, and inference in experiments and future projects.

“We are looking for $25k BIN or they can pay this and we will shred these permanently, only selling to the best offer and limited to one person, if we cannot find a buyer within a week we will leak all of these for free to the forums,” the hackers said.

The threat actor appears open to negotiations, stating that the asking price is flexible and that interested buyers are free to submit what they believe is a fair offer for the 450 repositories offered for sale.

Mistral AI told BleepingComputer that the TeamPCP managed to contaminate some of the company’s software development kit (SDK) packages.

In an advisory published earlier this week, the company said that the breach occurred after a developer device was impacted by the TanStack supply-chain attack.

However, Mistral states that the forensic investigation determined that the impacted data was not part of the core code repositories.

“Neither our hosted services, managed user data, nor any of our research and testing environments were compromised,” Mistral told BleepingComputer.

Earlier today, OpenAI also confirmed that the TanStack supply-chain impacted systems of two of its employees who had access to “a limited subset of internal source code repositories.”

​A small set of credentials was stolen from the repositories, but the investigation found no evidence that they were used in additional attacks.

​OpenAI responded by rotating the code-signing certificates exposed in the incident and warning macOS users that they must update their OpenAI desktop apps before June 12, or the software may fail to launch and stop receiving updates.

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ChatGPT is now one of the most popular tools people use online. From content creation to quick problem-solving, ChatGPT has become a go-to tool for millions of users. It helps save your precious time and simplify your routine work, but at times, glitches can occur, and you may see ChatGPT not loading or responding to you. However, there is no need to worry since most of these problems have quite easy solutions.

1. Check if ChatGPT Is Down

Before trying any fixes, it’s important to check whether the problem is actually on ChatGPT’s side. The server could be under maintenance or facing an issue due to high traffic, and a message would indicate a problem when trying to load ChatGPT. This would affect all users, since they all depend on the same server. The easiest way to check is to visit OpenAI’s website.

Furthermore, if the site is functioning normally, but ChatGPT isn’t providing results, it might be due to high traffic. High amounts of users at the same time can affect the system. No problem should arise in such situations; you only have to be patient. Everything will likely resolve itself shortly.

2. Check Your Internet Connection

It could even be a problem with your internet connection rather than ChatGPT. Slow Internet speeds can sometimes interfere with your connection, regardless of the service you’re using. Test whether you can browse other websites. You may also try restarting your router or using mobile data if you have been relying on Wi-Fi up until now.

3. Log Out and Log Back In

Sometimes, ChatGPT may stop working because your login session has expired without you noticing. This can happen if you’ve been inactive for a while or left the tab open. When the session expires, the chatbot may stop responding. To fix this, log out of your account and log in again. This simple step often solves the issue.

4. Use the ChatGPT Mobile App and Incognito Mode

When the web version of ChatGPT doesn’t work as expected, using the mobile app can help. It doesn’t depend on your browser, which means it can avoid many common web-related problems. The app is available on Android and iOS.

An extension or browser setting may affect your ability to use the website properly. The solution to this problem is to access ChatGPT in an incognito window or disable extensions altogether. If that does not solve the problem, you can also try using another browser.

5. Clear Browser Cache and Data

Another reason ChatGPT may stop functioning is your browser’s cache. Your browser cache may prevent sites from loading properly in some cases. All you need to do in such cases is clear your cache and browse through data; after that, restart your browser. However, keep in mind that all your accounts will be logged out.

6. Disable VPN

A VPN connection can sometimes create issues while using ChatGPT. VPNs use shared IP addresses, and some of these may be restricted or flagged by the system. This can lead to problems like the website not loading, showing errors, or not responding properly. To check if this is the cause, turn off your VPN and reload the ChatGPT website. If everything starts working normally, then the VPN was likely affecting your connection.