News

• OpenAI is releasing a preview of ChatGPT-5.6 to trusted partners on Thursday
• The new GPT-5.6 comes in three versions: Sol, Terra and Luna
• Initial access is via API only, with a broader rollout to ChatGPT later

GPT-5.6 is coming in three different versions, Sol, Terra, and Luna, but it won’t be anything like the normal ChatGPT releases we’ve been used to. First there will be a limited preview for trusted partners, followed by a broader rollout later. The preview begins this Thursday for the lucky few.

The staggered rollout is not by OpenAI’s design. In a release about the new models OpenAI said, “As part of our ongoing engagement with the U.S. government, we previewed our plans and the models’ capabilities ahead of today’s launch. At their request, we are starting with a limited preview for a small group of trusted partners whose participation has been shared with the government, before releasing more broadly.“

The delay comes after U.S. President Donald Trump signed an executive order establishing a voluntary framework ​under which ⁠AI developers could provide the U.S. government with access to their new models for up to 30 days before releasing them to trusted partners.

OpenAI is clearly unhappy with the situation: “We don’t believe this kind of government access process should become the long-term default. It keeps the best tools from users, developers, enterprises, cyber defenders, and global partners who need them. “

OpenAI is launching GPT-5.6 as a family of three models named after celestial objects, rather than its more usual naming conventions like “Instant” and “Mini”. Sol, Terra and Luna are three versions of the new ChatGPT-5.6, each aimed at a different balance of intelligence, speed and cost.

GPT-5.6 Sol is the flagship model and OpenAI’s most capable AI yet. This is the model for the hardest jobs: complex coding, multi-step reasoning, agent-style work and specialist tasks where accuracy matters more than speed. OpenAI says Sol has improved capabilities in coding, biology and cybersecurity, and it is also getting new “max” and “ultra” modes designed to give it more time and, in ultra mode, extra subagents to work through complicated tasks. You can think of Sol as the ‘big-brain’ version of GPT-5.6, which you want when the question is difficult enough that waiting a little longer is worth it.

GPT-5.6 Terra is the middle option, and probably the one most ordinary people will use. OpenAI describes it as a balanced model for everyday work, with performance competitive with GPT-5.5 but at half the cost. That makes Terra sound like the likely daily-driver model: powerful enough for writing, planning, research, coding help and general ChatGPT use, but not as expensive or heavyweight as Sol. If Sol is the specialist you call in for the hard problems, Terra is the model you would expect to use for most normal tasks.

GPT-5.6 Luna is the fast and affordable model. It's designed to offer strong capability at OpenAI’s lowest cost in the GPT-5.6 family, which suggests it is aimed at quick responses, lighter tasks and high-volume use where speed matters. This is the model you would expect to handle simpler questions, summaries, rewrites, quick brainstorming, and everyday back-and-forth without needing the full power of Sol. Luna may not be the showpiece model, but it could end up being the one people interact with most often if it makes ChatGPT feel faster and cheaper to run.

As I’ve mentioned before, the test for new AI models, like GPT-5.6 or Claude Sonnet 5, will increasingly be how well they manage mult-step tasks and agentic processes.

For ordinary ChatGPT users, the most obvious change when using GPT-5.6 may not be a dramatic new button or interface. It will probably be that ChatGPT feels more capable when you ask it to do something complicated and less like a chatbot that needs to be carefully walked through every step.

That matters because most people do not use ChatGPT by comparing benchmark scores. They notice whether it understands a messy request, remembers the point of the task, follows instructions properly and gets closer to a finished result the first time. If GPT-5.6 works as OpenAI is suggesting, the upgrade should be most visible in those moments where today’s models still feel impressive but slightly fragile.

OpenAI’s three-model structure is interesting and it’s not clear if the ChatGPT version will automatically send your request to different models depending on how complex it is. Obviously, not every task will need the same level of intelligence. A fast, cheaper model such as Luna could handle simple summaries, rewrites and everyday questions, while a more powerful model such as Sol could be reserved for harder work where depth matters more than speed.

GPT-5.6 is not available in ChatGPT during the preview, so ordinary users may not notice any of this immediately. OpenAI says the models are currently available through the API and Codex to a limited group of trusted partners and organizations, with broader availability through ChatGPT planned later.

• You can now run Claude Cowork in the cloud, from the web or mobile
• Knowledge work now accounts for around half of all Cowork sessions
• Traditional local Cowork sessions are still supported

Days after reports surfaced that Anthropic could be bringing Claude Cowork to its mobile app, the company has gone one further – users can now start, monitor and complete their agentic workflows from the mobile app and a dedicated web portal.

The upgrade is rolling out in beta now for Claude Max subscribers, but the company has plans to bring the functionality to more plans as rollout continues.

As part of the upgrade, Cowork sessions will also run in the cloud by default – another beta introduction that means workflows can continue even once a PC goes offline or shuts down.

Because the AI agent can run autonomously across things like files and documents, emails and calendars, and other connected apps, many users mostly left Cowork to run independently. However because it ran locally, it required users to keep their desktop session active even when they stepped away.

Now, scheduled work no longer requires a device to remain online – though users can still choose to run Cowork locally when access to local files is required, for example.

As for why Claude Cowork is being used, Anthropic has revealed that the autonomous agent is mostly being used among knowledge workers despite initially being targeted at coders. "Pulling scattered updates into a single report, building onboarding checklists and reconciling spreadsheets" account for the largest chunk, at around 33% of all use cases across Anthropic's analysis of 1.2 million sessions.

Content creation and copywriting (16%) came next, with software development (9%) and DevOps and infrastructure (7%) actually only accounting for much smaller proportions.

With knowledge work now accounting for nearly half of all Claude Cowork sessions, the company's research shows agentic AI emerging as an everyday work colleague. Though the company didn't indicate how, or whether, this shift in behavior might impact its pipeline, a shift away from coding as a primary use case could evolve Cowork in different ways to how we might have imagined.

I hate buying compressed air in cans. They're expensive, bulky, and they never last as long as they should. But I've found an awesome, affordable alternative that's a lot less wasteful (and a lot more fun).

The Wolfbox MF60 electric air duster is currently discounted to $31 (was $50) at Amazon. This rechargeable electric duster features 110,000 RPM brushless motor delivering that's capable of clearing out dust and debris from keyboards, computers, camera gear, and plenty more.

It's one of those home office gadgets that you never realize you need until you get one. In the UK, the MF60 is also discounted to £37 (was £44) at Amazon, too.

A rechargeable cordless air duster with a 110,000 RPM brushless motor and three adjustable speed settings. The lowest speed is gentle enough for delicate components and camera lenses; the highest moves real debris from keyboards, fan grilles, and car vents.

In the UK: now £37 (was £44)View Deal

The three-speed control is more useful than it sounds. A single-speed electric duster forces you to manage the distance from the surface to control airflow intensity, which can get awkward with delicate components. The MF60’s lowest speed lets you safely clean around camera sensors, circuit boards, and laptop keyboards without blasting debris deeper into gaps or risking damage to fragile parts. The highest speed is reserved for the jobs that need it — shifting compacted dust from heatsinks, clearing a fan grille that hasn’t been touched in years, or blasting pet hair from a car seat.

The brushless motor is the component that determines both the lifespan and the consistent performance of an electric air duster. Brushless motors have no physical contact points that wear down over time, which is why the Gadgeteer’s review of the MF100 found it delivered “impressive power” that held up across extended testing. The same brushless motor architecture carries through to the MF60, which means it should perform consistently whether you’re using it for the first time or the five hundredth.

USB-C charging is the practical detail that matters most for day-to-day use. It means the duster charges from the same cable as your laptop, phone, or other devices — no proprietary charger to lose, and it works from a power bank if you’re using it away from a wall outlet. The full charge time is reasonable for a device you’ll use in bursts rather than continuously.

The nozzle kit covers the practical range of cleaning scenarios: a narrow extension nozzle for getting into tight gaps between keyboard keys or fan blades, a wider deflector for broader surface coverage, and a brush attachment for simultaneously scrubbing and blowing on surfaces with caked-on dust. For a PC that’s been neglected for a year or more, the brush attachment on the GPU heatsink makes a noticeable difference over a bare nozzle alone.

One note on expectations: the MF60 at 110,000 RPM produces strong, consistent airflow for the cleaning tasks most people need — keyboards, electronics, camera gear, car interiors. The flagship MF100 at 150,000 RPM pushes more air per second and is the better choice if you regularly clean large surfaces or heavily clogged components. So, the MF60 is the right entry point for anyone who just wants to get off canned air without spending flagship money.

• US: See all PC accessories at Amazon
• UK: See all computer accessories at Amazon.co.uk

I've been living for the episode titles for Rick and Morty season 9, but this week is the first time I've felt genuinely terrified for what I'm about to see.

Episode 8 is called Rickuiem Mort a Dream, which is a play on the Darren Aronofsky film Requiem for a Dream. If you've been brave enough to watch that movie, you'll know that it's so traumatizing, you can never, ever see it again.

What on earth that means for an animated TV series, I have no idea. But when does Rick and Morty season 9 episode 8 arrive on Adult Swim, Hulu, and HBO Max?

In the US, Rick and Morty season 9 episode 8 will debut on Adult Swim on Sunday, July 12 at 8pm PT / 11pm ET.

Viewers elsewhere, as well as in the US, have two streaming options: Hulu and HBO Max. Episodes should appear on these platforms 24 hours after they've aired on Adult Swim, meaning you can expect episode 8 on Monday, July 13.

These are the timings you need to take note of:

• US – 12am PT / 3am ET
• Canada – 12am PT / 3am ET
• UK – 8am BST
• India – 12:30pm IST
• Singapore – 3pm SGT
• Australia – 6pm AEST
• New Zealand – 8pm NZDT

Rick and Morty season 9 is set to have 10 episodes. As long as there are no unexpected delays, we can expect it to follow the following release schedule:

• Episode 1: out now
• Episode 2: out now
• Episode 3: out now
• Episode 4: out now
• Episode 5: out now
• Episode 6: out now
• Episode 7: out now
• Episode 8: July 12
• Episode 9: July 19
• Episode 10: July 26

• Report claims Sony FX3 cinema camera replacement is launching later this month
• FX5 will come with an all-new sensor offering a much-needed upgrade
• Optional EVF add-on set to arrive alongside the camera

It's been over five years since Sony launched the FX3, and in that time it's become one of the most beloved small cinema cameras around. But it's always had one gap that pro filmmakers have grumbled about: no open gate recording.

According to a new report from SonyAlphaRumors, that's about to change. A story on the site says Sony will officially announce the FX5 on July 22 at 3pm BST, and among the leaked specs is Open Gate 5K recording in a 3:2 aspect ratio.

If you're not familiar with the term, open gate simply means the camera records using the entire surface of the sensor, rather than cropping it down to the standard 16:9. That extra height in particular gives editors far more room to reframe, punch in or repurpose the same shot for square, vertical, or widescreen content in post. That can be a huge deal for anyone making videos for multiple platforms from a single shoot.

It's exactly what TechRadar's Pete Sheath asked for back in 2025, alongside an increase in resolution, when he wrote up his wish list for a next-generation FX3.

That resolution bump is also rumored to be arriving in the FX5, in the form of a new 16.6MP fully stacked sensor. On the surface, 16MP might look modest for a 2026 cinema camera. But for a camera built around motion rather than stills, a lower pixel count may work in the FX5's favor: it can mean better dynamic range, cleaner low-light performance, and space for punchier frame rate options (don't be shocked if 4K at 240fps ends up on the spec sheet).

The trade-off is that 8K recording seems to be off the table, which will likely disappoint anyone hoping the FX5 would leapfrog into that territory.

There's also good news for anyone who's missed having a viewfinder on Sony's FX-series cameras. The report points to a new external tilting EVF, which should make a real difference for shooters working outdoors in bright sun or in dim, light-sensitive spaces like concerts and theaters, where a glowing rear screen isn't always welcome. It sounds optional rather than built-in, which may be the best of both worlds: skip it and keep the FX5 almost as compact as the FX3, or clip it on when you need it.

Other rumored additions include the BIONZ XR2 processor with AI autofocus (borrowed from the Sony A7R VI), a triple base ISO system, false color exposure tools, and a Venice-style menu overhaul.

Nothing is official yet, and Sony hasn't confirmed a single spec. But if the leak proves to be accurate, the Sony FX5 looks set to answer several of the loudest requests from the FX3 faithful in one go. We should know for certain in a couple of weeks.

• Sony is launching a new RX10 bridge camera — here's what we can learn from the shock teaser
• Camera rumors for 2025: the new gear we're expecting soon from DJI, Sony, Canon and more
• The best video camera 2025: finest choices for filmmakers and videographers

External cyberattacks, especially ransomware, are now viewed as a matter of when, not if.

It’s no wonder they dominate cybersecurity discussions and make frequent headlines.

IBM’s 2025 Cost of a Data Breach report found that the average global cost of a data breach stands at $4.4million, underscoring why the threat of an attack keeps business and IT leaders up at night.

But they represent only one side of the data risk landscape. What’s less understood and often underestimated are the internal threats that can be just as disruptive and damaging.

From simple employee errors to deliberate insider actions, and even the unintended consequences of generative AI tools, these risks pose serious challenges for every organization’s data security strategy.

Human error remains one of the most persistent vulnerabilities in cybersecurity. In fact, 2024 research found that the human element played a role in 68% of breaches, ranging from simple mistakes to social engineering and misconfigurations. Ignoring this reality leaves a critical gap in any security strategy.

Human error isn’t the only internal risk. Insider threats - both intentional and negligent - represent a growing portion of today’s breach landscape. In fact, 83% of organizations experienced at least one insider-related incident last year. Whether it’s a disgruntled employee exfiltrating data or a staff member mistakenly over-provisioning access, incidents involving trusted credentials are notoriously difficult to detect and recover from.

Whether it’s accidental human error or deliberate insider attacks, the first step to reducing these types of risks is to acknowledge that the weakest link in any cybersecurity chain is people. Even the most advanced internet security infrastructure can be compromised by a single careless mistake or a trusted user with bad intentions. Creating a culture of continuous education mixed with accountability can mitigate some of these threats.

Reducing privileged access to only what is necessary can also significantly lower the risk of employee caused data leaks. However, organizations should always assume that human errors will occur and prepare accordingly. User and Entity Behavior Analytics (UEBA) plays a critical role in identifying suspicious activity that may indicate insider threats.

By flagging anomalies such as unexpected data transfers or unusual access patterns, UEBA enables security teams to respond swiftly before significant damage occurs.

Just as important is having strong technical safeguards in place. These act as a critical safety net when human controls fail. For example, it’s important to verify that automated backups are running efficiently and include all data sources, such as cloud applications and endpoints.

This can ensure that no critical data is left unprotected or overlooked in the event of a disruption or breach. These backups need to be immutable and tamper-proof, so that even a rogue insider cannot alter or delete recovery points.

While AI promises a boost to productivity and innovation, it also brings with it new threats. As an example, the rise of AI co-pilots and agents in various workflows such as coding, writing and data analysis widens the attack surface. For AI to operate efficiently, it requires access to sensitive internal data such as documents and proprietary systems, which means that the slightest oversight in access permissions and data governance can severely cost an organization.

This is not going unnoticed. The U.S. National Institute of Standards and Technology (NIST) states in its AI Risk Management Framework that AI models may “leak, generate, or correctly infer sensitive information” even data not explicitly included in the input, through memorization, adversarial attacks, or by combining disparate sources.

This concern is echoed in the private sector, with over 80% of security leaders expressing concern that generative AI could leak company secrets, and security experts warning that only 24% of generative AI initiatives are fully secured. Furthermore, a staggering 90% of organizations report a lack of adequate security standards to defend against AI-centered threats. Gartner predicts that by 2027, more than 40% of AI-related data breaches will be caused by the improper use of generative AI.

So how can enterprises continue to implement the evolving world of AI into business processes while ensuring it doesn’t open the door to a bevy of cyberattacks? The first step is to treat AI agents as part of the threat model. The same security principles that are often implemented to traditional IT environments need to be applied to AI implementation - zero trust, data minimization, encryption, segmentation, etc.

AI agents need to be viewed as tools with privileged access, and handled accordingly. The data that is being fed into these AI agents needs to be reviewed and cleaned-up, including removing outdated or overly sensitive files from training sets and ensuring only approved data sources are utilized.

Close monitoring and keeping a log of all AI interactions is also critical. This needs to be detailed enough to enable an audit trail that can help to detect potential abuse or oversharing of confidential data.

To reduce the risk of human error, AI guidelines should also include security awareness training so that employees can understand that AI agents are not sandbox environments, and any sensitive data could be logged, stored, and in the worst-case scenario, shared.

While the threat landscape continues to expand, the reality is clear - no security stack is impenetrable. Cybercriminals will always search for new angles, whether through ransomware, insider threats, or AI-driven exploits. That’s why true resilience depends not only on prevention but also on the ability to recover quickly and confidently when defenses are breached.

Immutable backups, delivered as a managed service, provide that safety net. Unlike traditional backups that can be corrupted, deleted, or encrypted by attackers, immutable backups are unchangeable and tamper-proof. By layering this with 24/7 monitoring, expert management, and tested recovery processes, a managed service ensures that recovery points remain secure and always available.

This approach dramatically shortens downtime, from days to hours and removes the operational burden from internal IT teams who may lack the time or expertise to manage complex recovery environments.

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