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Why are so many AI models going ‘rogue’? The experts weigh in

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Over the past month, it seems like every frontier model has broken free of its constraints and launched a devastating attack against one or more other companies.

One of OpenAI’s models escaped a testing sandbox and launched a very real attack against AI and machine learning company Hugging Face. Just days later, Anthropic revealed that multiple variants of its Claude model also escaped a sandbox that wasn’t properly sealed and began attacking the enterprise infrastructure of three companies.

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The Excellent HP OmniBook 5 Is $550 Off Its Retail Price Today

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Laptops keep getting more expensive. Many of my favorite laptops to recommend for budget-conscious shoppers are hundreds more today than they were six months ago.

Then there’s the HP OmniBook 5 to save the day. Don’t let the retail price of $1,300 throw you off, either. This configuration has a 14-inch OLED screen, 16 GB of RAM, and 512 GB of storage, but it’s frequently discounted. And right now, it’s 42 percent off, bringing the price down to just $750, $550 off its retail price.

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Importantly, this is also the model that comes with a Qualcomm Snapdragon X Plus chip inside. While HP also has Intel and AMD versions of this same laptop on offer, the Qualcomm model gets you long-lasting battery life, akin to what you get on a MacBook.

I already mentioned the OLED display this comes with, which is beautiful. The range of color blows a typical IPS display out of the water, especially the ones that typically come at this price. It is a bit reflective, though, as it’s a glossy display. And while the standard resolution of 1920 x 1200 isn’t quite as sharp as a MacBook Neo, the extreme contrast ratio of OLED is undefeatable. There’s also a discount on the 16-inch model, which is even cheaper at $650 but doesn’t come with a touchscreen. It also appears bit less sharp since it’s the same resolution stretched across a larger screen.

Another strong suit for this device is its portability. The 14-inch model is only half an inch thick (and the 16-inch is only a hair thicker), right in line with the MacBook Neo. Combined with the thin bezels around the screen, the design has a modern, svelte look. HP even throws in a USB-A port for good measure, without adding extra thickness to the chassis.

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Photograph: Luke Larsen

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iPhone 17 is going to get pricier, hold on to your wallets

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Apple may be preparing to raise the price of the iPhone 17 lineup as early as August 10, just weeks before the company is expected to introduce its next generation of iPhones. The possibility comes from a new rumor reported by 9to5Mac, which cites a Weibo post from leaker Fixed Focus Digital claiming that prices could increase on Monday.

There is no official confirmation from Apple, and the report does not identify a direct source for the alleged increase. Still, the timing is notable. Apple is widely expected to adjust iPhone pricing when the iPhone 18 Pro launches next month, but an increase affecting the existing iPhone 17 models earlier than that would be a significant change to the usual pattern.

The price could change before the iPhone 18 arrives

According to the report, rumors are circulating that Apple could increase iPhone 17 prices on August 10, according to Fixed Focus Digital, a leakster delving into Apple’s supply chain, which gives the claim some additional weight, although that does not make the rumor confirmed information.

The possibility is particularly interesting because Apple already increased prices for several of its products earlier this summer, while the iPhone was left untouched. That led to expectations that any iPhone price adjustments would arrive alongside the new models in September.

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If Apple does raise prices next week, however, buyers could find themselves paying more for phones that are already on the market rather than waiting for the new generation. The report does not say whether the increase would affect every iPhone 17 model or only specific versions.

For anyone considering an iPhone 17 right now, that uncertainty is arguably the most important part of the story. A price increase would make buying before the change potentially more attractive, but there is no guarantee that the rumored August 10 date is accurate.

Should you buy an iPhone 17 now?

That depends largely on how much you value certainty. If you were already planning to buy an iPhone 17 and the current price fits your budget, an unexpected increase could make waiting unnecessarily expensive. But if you’re comfortable waiting until Apple’s next launch, the situation becomes more complicated because the iPhone 18 lineup is expected to arrive soon.

Apple has not confirmed any price changes, and there is no official indication that August 10 will bring higher iPhone prices. The report itself acknowledges that the claim is based on circulating rumors rather than a direct source.

For now, the sensible takeaway is simple: if you’re planning to buy an iPhone 17, keep an eye on its price over the next few days. The rumored increase may never happen, but if it does, buyers could have very little time to react.

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Trevor Noah Will Host Google’s Pixel 11 Event Next Week

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Google’s big mobile event, called Made by Google, is almost here, and now we know a bit of what to expect about how the company will launch its new Pixel phones and devices.

Google released a video on X revealing that comedian Trevor Noah will host the show on Aug. 12. Other celebrities you can expect to see at the keynote include podcaster Alex Cooper, NBA star Stephen Curry and actor Ayami Najako. We expect these celebrities to help Google unveil the new lineup of Pixel 11 phones and Pixel 5 watch.

Last year, Jimmy Fallon hosted the Pixel 10 event with appearances from singer Nick Jonas and Peloton instructor Cody Rigsby, along with Cooper. The Jonas Brothers debuted a music video shot and produced by the Pixel 10. 

There have been leaks and rumors for months about the products Google plans to launch, including the standard Pixel 11, Pixel 11 Pro, Pixel 11 Pro XL, the foldable Pixel 11 Pro Fold, and the Pixel Watch 5. Google’s Gemini AI is expected to play a big role in the new devices. 

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CNET will be there, reporting on the new devices, features, celebrity sightings and any surprises Google has in store for the public.

You can livestream the Pixel 11 event on Aug. 12 at 6 p.m. ET on YouTube.

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Four AI agents coordinating in real time outperformed Claude Opus 4.8 on enterprise coding tasks

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As enterprise codebases grow, AI agents tasked with analyzing them are buckling under the weight of long-horizon tasks that require multiple interactions and tool calls. Dividing the work among a team of agents seems like the obvious fix, but it introduces a fatal flaw: most multi-agent systems are not designed for agents to coordinate among themselves mid-task and in real time.

To solve this, researchers at Coral AI Labs and multiple universities introduced AgentRadio, an asynchronous message-passing layer that allows agents to communicate between their execution steps without interrupting their main work. In real-world enterprise applications where subtasks are highly interdependent, this architecture enables agents to make mid-course corrections rather than continue on dead-end paths until a formal review phase.

On a benchmark of long-horizon questions over production repositories, a team of agents powered by AgentRadio nearly doubled task accuracy for four Claude Code agents working independently. It also outmatched single agents running on more advanced models. For AI practitioners, AgentRadio shows that the right coordination structure can outmatch raw compute and model scale.

The challenge of codebase understanding

LLM-based agents are increasingly capable of handling long-horizon tasks that require interacting with different tools and environments. Codebase understanding represents an extreme version of this challenge. It requires an AI agent to build the software, execute it, trace execution paths across multiple files, and synthesize evidence over extended periods.

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Under these conditions, single-agent systems usually break down because of a “coverage problem.” 

"A single agent follows one serial path through the repository," Xinxing Ren, Caelum Forder, and Peter Carroll, co-authors of the AgentRadio paper, explained to VentureBeat. As its context grows, "the initial plan becomes harder to revise and discoveries made late in the investigation do not always propagate." The model can usually execute individual steps, but "the hard part is keeping every obligation, dependency, and piece of contradictory evidence active across a long investigation."

One benchmark that helps measure AI performance on large codebases is SWE-Atlas QnA. This benchmark consists of long-horizon, natural-language questions over live production repositories. The tasks can’t be solved by just exploring the code. AI agents must run the software and execute multiple commands to find the answers.

According to the research team’s experiments, a single Claude Code instance running on Opus 4.6 resolves just 32.3% of these tasks. Upgrading to a newer, more advanced model like Opus 4.8 only yields a 57.2% success rate.

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A natural remedy is to distribute the workload across multiple agents, allowing each to work with a smaller, cleaner context. Multi-agent solutions can provide substantial performance gains when tasks are cleanly decomposable, meaning they can be solved separately and merged at the end.

Codebase understanding, however, is rarely cleanly decomposable. The subtasks are highly interdependent. A critical configuration file or a bug uncovered by one agent can completely rewrite or redirect the entire exploration path of another agent. Because of these dependencies, agents must coordinate, negotiate, and share intermediate discoveries in real time.

Despite this need, asynchronous multi-agent communication is rare. The researchers point out that existing multi-agent systems generally fall into three flawed patterns:

  • Parallel but isolated: Agents operate simultaneously but do not communicate at all.

  • Parallel but round-synchronized: Agents can communicate, but only at strict, synchronized round boundaries. This forces agents to stop and wait for one another to finish a round before they can debate or exchange intermediate findings. Round-based systems assume that important discoveries can wait until the next communication phase, which is an expensive assumption when agents are working on interdependent parts of a live system. For example, an agent investigating an API symptom might uncover evidence that invalidates the storage agent's current hypothesis. "If that information waits until both agents finish, the storage investigation may complete along the wrong path," the researchers said.

  • Asynchrony in adjacent forms: These systems offer limited asynchronous features, such as top-down task dispatching. They don’t have peer-to-peer lateral channels between agents or shared memories that require an agent to actively pause its work to read updates.

In their paper, the researchers point out that the main bottleneck hindering current multi-agent systems is that “an agent that is working cannot also be listening.”

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“To our knowledge, no existing system gives concurrently working agents passive awareness of one another over a lateral, natural-language channel,” the researchers write.

How AgentRadio works

To dissolve the mutual exclusion between working and listening, the researchers developed AgentRadio, an asynchronous message-passing layer designed to plug directly into existing coding-agent harnesses.

AgentRadio equips agents with three primitives:

  • The create_thread primitive opens a conversation between participating agents.

  • The send_message primitive appends a message to a thread and returns without blocking the sending agent.

  • The wait_for_mention primitive blocks the process until a message mentioning the caller arrives. It delivers the message along with a full snapshot of all threads so the agent has instant context. 

This trio enables agents to have a state of “passive awareness,” where they can continue their primary tasks while passing messages and updating their knowledge in the background.

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AgentRadio's code is available under the Apache 2.0 license on GitHub. It is designed to be lightweight, requiring no direct modifications to the underlying agent harnesses like Claude Code or Codex CLI. 

The architecture consists of two main parts:

  • The message server: A standalone process that acts as the central hub, storing all active threads, messages, and mentions for the group of agents.

  • Harness-side integration: Agents interact with the server using three simple shell scripts, one corresponding to each primitive.

The only strict requirement for the system to work is that the agent harness must be able to run a shell command as a background task. The agents are instructed in their system prompts to keep one watcher running and to send messages through the provided scripts. Running the wait_for_mention script in the background allows the agent to continue its work and receive notifications asynchronously.

To integrate this into an existing stack, a team still needs a "thin adapter that starts the workers, assigns identities, connects them to the shared server, and manages final synthesis," the researchers said. That work sits around the coding agent rather than requiring changes to the underlying model.

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AgentRadio in action

To validate the real-world utility of AgentRadio, the researchers tested the framework on 124 tasks from the SWE-Atlas QnA benchmark. The tests covered domains including system design, root-cause analysis, security, and API integration.

The researchers used Claude Opus 4.6 and DeepSeek V4 Pro as the backbone models. For the harness, they evaluated configurations ranging from a single Claude Code agent (B0) to a team of agents with classic division of labor (L1), up to a team of agents using AgentRadio to coordinate asynchronously (L3).

The experimental results showed that the AgentRadio communication architecture outperforms both naive multi-agent setups and raw compute scaling.

While a single Claude Code agent with Opus 4.6 resolved only 32.3% of the tasks, the full AgentRadio setup nearly doubled that metric, resolving 62.1% of the tasks, and surpassed the single agent running on Opus 4.8, which hit 57.2%. It also boosted the DeepSeek V4 Pro results from 29.0% to 50.8%. 

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To understand how this practically impacts enterprise AI, the paper highlights a real-world task involving a MinIO system. Solving the task required checking per-request server logs, a requirement the agents did not anticipate during their initial planning phase.

In the L2 setting, where agents collaborate but lack asynchronous communications, two agents independently realized they needed these logs while executing commands. Because they could not share this finding mid-execution, one agent gave up privately and the other failed to propose it to the team. During the review phase, the team unanimously agreed on the wrong answer, missing five rubrics.

With AgentRadio activated, the agents made the same mid-execution discovery, but one agent instantly broadcasted the required server-side log evidence to the shared worklog. Because the other agents were passively listening, they absorbed this new evidence immediately. This real-time coordination transformed a failing score into a perfect 16 out of 16.

"The useful distinction is timing," the researchers said. "The team did not need another agent or another review round. It needed one agent's discovery to reach the right peers before its operational value expired."

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The researchers note that the same pattern appears in enterprise incident work. For example, an agent investigating an API symptom might uncover evidence that invalidates the storage agent's current hypothesis. If that information waits until both agents finish, the storage investigation may complete along the wrong path. “Passive awareness lets the second agent incorporate the contradiction at its next work step without interrupting a command already in progress,” they said.

The cost and complexity of coordination

AgentRadio requires a fixed multi-agent team budget, which inherently multiplies the token cost. The researchers acknowledge that the "tax is real," noting that average API spend rose from $2.96 per task for one Opus agent to $19.45 for the full AgentRadio stack.

However, raw scale does not equal performance. When researchers compute-matched the test by spending $17.76 on six independent Opus runs, the models only resolved 37.9% of tasks, compared with 62.1% for AgentRadio. This suggests that AgentRadio's architecture is a structural win, not just a brute-force scale win. Teams should still be aware of inter-agent churn. "Communication can redirect an agent toward better evidence, and it can also distract an agent from a valid path," the researchers warned.

A fixed multi-agent team should not become the default response to every engineering task. The more useful test to determine if a multi-agent setup is required is whether the task contains "responsibility breakpoints," the researchers said. These are places "where a competent engineer would involve another person because the work crosses an ownership boundary, needs an independent hypothesis, or carries enough risk to justify separate verification."

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“Coordination is a strong fit when the task can be decomposed, the resulting parts remain interdependent, the single-agent success rate is unreliable, and an incomplete answer has a meaningful downstream cost,” the researchers said. Examples include repository-wide architecture questions, unfamiliar legacy systems, cross-service incident investigation, security analysis, dependency migrations, and multi-module refactors.

Conversely, a single agent remains the cleaner choice for “bounded, local, and reversible work,” such as a known one-file change or boilerplate generation. 

“Use one agent while one context can still own the problem honestly,” the researchers said. “Introduce another responsibility when the existing agent would otherwise need to compress away evidence, cross an independent ownership boundary, or verify its own high-impact conclusion.”

From research to commercialization: Coral Code

While AgentRadio serves as a controlled research implementation using a fixed four-agent team and a five-phase protocol, the underlying principles are being adapted into a commercial product called Coral Code.

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Instead of a rigid, multi-agent protocol applied to every ticket, Coral Code works from the bottom up. An engineer begins with their existing coding agent, and Coral introduces repository-scoped investigation, specialist responsibility, and communication only when the emerging evidence justifies it. "Coral packages the operational concerns around the tools engineers already use, providing the repository context, scoped specialists, communication, and evidence layer around the harness rather than inside it," the researchers said.

This dynamic approach optimizes costs by targeting the relevant unit: the cost of a completed, reviewable outcome.

The future of autonomous software engineering

While AgentRadio provides a major upgrade to agent orchestration, there are still hurdles to overcome. One major bottleneck that the researchers pointed out to is “attention governance and verification.”

“Passive awareness makes communication available during execution. It does not decide which agents should exist, which discovery deserves an interruption, who should receive it, or when the evidence is strong enough to revise the plan,” the researchers said. If every agent receives every update, the communication layer becomes noise. If several agents share the same bad assumption, faster communication can spread the error.

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For example, in one of the case studies in the paper that involved the Grafana platform, four of nine rubrics required negative conclusions, such as observing that a datasource picker did not select automatically. The agents ran the relevant tests, yet none formed the missing negative hypothesis. Both configurations failed the four rubrics. 

“Passive awareness can distribute an idea that somebody develops. It cannot supply a conception that never appears anywhere in the team,” the researchers said.

As task durations stretch longer, communication and coordination become critical. "The next generation of systems… needs adaptive responsibility assignment, evidence-aware routing, conflict resolution, explicit cost limits, permissions, recovery, and clear human escalation points," the researchers note. Most importantly, it requires durable provenance so engineering leads can inspect which agent made a claim and why an action was accepted.

"Longer-running agents make communication more important. They also make accountability much harder to fake," they said.

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Weak Passwords Just Exposed Our Water Supply to Iranian Hackers

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I’ve spent years writing about the need to update default passwords on internet-connected devices, but the recent cyberattacks on our water systems show that the same preventable flaws continue to leave our most critical infrastructure vulnerable. 

Starting on July 26, more than 30 water systems in Minnesota started experiencing symptoms of a coordinated cyberattack. A week and a half later, those attacks had spread to at least a dozen states, leading to widespread disruptions in service, boil-water notices, drops in pressure and flooding. 

In a joint statement on July 30, the Federal Bureau of Investigation and Environmental Protection Agency described a situation that will sound familiar to anyone who’s followed cyberattack stories in recent years: Malicious actors gained access to internet-connected devices, changed the IP addresses and passwords and took control of their operations. Iranian hackers are likely behind the attacks, according to multiple news reports.

In most cases, facilities were able to restore services within hours by switching to manual operations. But experts say the attacks highlight alarming vulnerabilities in the security of our critical infrastructure.

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“We’re in a lot worse shape than you would think,” says Maurice E. Dawson, a professor at the Illinois Institute of Technology who studies critical infrastructure cybersecurity. 

The attacks shouldn’t have come as a surprise to anyone. As far back as 2023, the Cybersecurity and Infrastructure Security Agency issued an alert about threats targeting water systems by exploiting internet-connected devices with default passwords or no password at all. 

In April this year, CISA put out another warning to water facilities about Iranian-affiliated actors potentially targeting US water and energy systems. The agency updated the advisory with additional guidance four days before the first attack in Minnesota was reported, listing the specific devices it had observed being targeted. Again, it urged operators to “ensure device passwords are changed from their default.”

How malicious actors access critical infrastructure

I’ve been writing about attacks on Wi-Fi routers for years, and it’s shocking how much CISA’s guidance to water systems mirrors what I tell internet users all the time: Change default credentials, use a VPN, keep devices updated with the latest security patches.

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In the recent attacks on water systems, the open doors were industrial computers called programmable logic controllers, or PLCs. Like Wi-Fi routers, PLCs “serve as the central nervous system for complex industrial control systems,” according to Process Solutions, a company that manufactures the devices.

You’ll find them in virtually every industrial setting across the country, including food processing plants, water treatment facilities and electrical substations. Many of them have been in service for decades without security updates, making them inviting targets for attack.

Once found, the passwords were either too weak or too obvious. “It was very much a low-hanging fruit for an actor to go and attack these systems,” said Michael Garcia, policy director of the industry group Operational Technology Cybersecurity Coalition and former CISA associate chief. 

On July 30, the research firm Censys identified 4,148 internet-exposed hosts made by Rockwell Automation, with 71% of them living in the US. Ron Fabela, an industrial control systems researcher, demonstrated how a typical attack might work in an interview with CSO Online. A malicious actor could scan Shodan, a search engine for internet-connected devices, looking for public IP addresses in a specific area. From there, they could identify which PLC model a water facility uses, pull up the manufacturer’s user manual and input the factory login credentials.

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A Shodan query found a Rockwell Automation PLC being used in Plymouth, Minnesota, one of the water systems that were attacked.

“These are PLCs that were connected to the internet that shouldn’t have been connected to the internet,” said Garcia. “And once they were found, they had either no passwords on them or weak passwords like ‘1234’ or ‘password.’”

From there, it would be as simple as entering the default credentials and changing them to lock out the utility operators from the system. That’s why CISA’s immediate advice to all operators was to disconnect PLCs from the internet and switch to manual operations.

Why infrastructure attacks are hard to prevent 

There are around 156,000 public water systems in the US, and 97% of them serve 10,000 or fewer people. These systems generally operate on razor-thin budgets and minimal IT staffs. 

“These are older operating systems that aren’t getting regular updates,” Dawson said. “It may be secure for the first month, but it gets weaker over time. Then, after many months, many years, that system is very vulnerable, and it’s expensive to repair.”

There has been some effort by the federal government to help critical infrastructure operators like water utilities modernize their cybersecurity practices. 

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In 2022, Congress appropriated $1 billion over four years for the State and Local Cybersecurity Grant Program, which aimed to help local communities prepare for “increasingly sophisticated and ever-changing cyber threats.” That money is now spent, and a reauthorization bill has been stuck in Congress

“It comes down to cost,” said Garcia. “There are bills to reauthorize these programs, but for whatever reason, they’re being stalled.”

What you can do to stay safe

This wave of attacks had relatively limited impacts. Even in the areas that were most severely debilitated, most people never lost water. Still, now is a great time to make sure you’re following some best practices in case there’s a more severe attack in the future. Here’s what experts recommend:

  • Stock up on water: The Federal Emergency Management Agency recommends storing at least 1 gallon of water per person per day for several days. The agency recommends buying commercially bottled water and storing it in a cool, dark place. If you prepare your own water containers, they should be cleaned with dishwashing soap before use, and water should be replaced every six months. 
  • Follow utility providers on social media: Most local governments and utilities post updates on social media when attacks like these occur. Platforms like Facebook, Instagram and X were the best places to get the latest information, such as boil-water notices issued in some areas. In some areas. You can also sign up for text alerts with the latest news.
  • Make a plan for water treatment: If your local utility issues a boil-water notice or you’ve used all of your stored water, it may be necessary to treat suspicious water. FEMA recommends boiling water for at least 1 minute. 

The bottom line

This wave of cyberattacks crossing a dozen states is one of the more alarming breaches in recent memory, but this type of infrastructure targeting is nothing new.

Suspected Iranian hackers targeted water systems in Arkansas City, Kansas, in 2024, and Minot, North Dakota, in March of this year. A 2021 ransomware attack on the Colonial Pipeline caused widespread fuel shortages on the East Coast. An Iranian attack in March on the medical equipment supplier Stryker caused a temporary companywide shutdown. 

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“This has been occurring for years,” Garcia said. “We’ve just been extremely fortunate that there hasn’t been a mass casualty event. But there is that potential.”

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Details Leak on OpenAI’s Doughnut-Shaped Speaker

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OpenAI plans to release an AI smart speaker in 2027, according to a Bloomberg report on Thursday. It’ll reportedly be palm-size and doughnut-shaped and have a wireless design that will let people carry it around.

The report, which cited unnamed people familiar with the project, also indicates that the small speaker will cost $300 to $400, a steep price compared with around $100 to $200 for most smart speakers (except for high-end Bose and Sonos options). The device would work like ChatGPT on your phone, but it would use more advanced models that can learn about the user and talk with them in tailored ways over time.

A representative from OpenAI did not immediately respond to a request for comment.

The report also says the speaker will have parts that move to signal how it’s interacting, something usually left to screen icons. It will have indicator lights plus a camera system and sensors to help it collect and process information about its environment.

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But OpenAI faces a potential legal roadblock to making the device available to consumers. Last month, Apple sued the artificial intelligence company, alleging it stole confidential product design and development information and asked manufacturers to copy Apple’s metal finishing. The Bloomberg report says that the OpenAI speaker was designed with help from LoveFrom studio, launched by former Apple designer Jony Ive. Last year, OpenAI acquired a separate Ive-founded startup, IO, focused on devices.

Apple is similarly rumored to be working on AI-powered devices for the home. A first wave could arrive this fall, with smart display devices that take advantage of its new Siri AI capabilities.

(Disclosure: Ziff Davis, CNET’s parent company, in 2025 filed a lawsuit against OpenAI, alleging it infringed Ziff Davis copyrights in training and operating its AI systems.)

A red Google speaker on a wood table.
Google’s latest speaker is very Gemini for Home-focused. It’s small, but not hockey puck small.Tyler Lacoma/CNET

I’ve tested several smart speakers in the past year that come with the latest AI features, similar to those this report mentions. That includes Echo and Echo Show displays with Alexa Plus, which can adapt to your habits, order food for you and carry on conversations. I’ve also tried Google’s latest Home speaker, a device made with Gemini for Home in mind; it can brainstorm with you and answer questions about what compatible security cameras have seen outside. It’s unclear whether OpenAI’s speaker would have such capabilities.

The Bloomberg report describes the OpenAI device as being the size of a hockey puck, which would be unusual for a smart speaker and could prove a significant technology challenge, from sound quality to battery life and speed of response.

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Makers of AI devices also have to contend with concerns around privacy, which have been on the rise as technologies like smart glasses and Ring video doorbells become more commonplace.

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We spoke to the VP of Amazon Fire TV about the new UI and the importance of live TV

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Whatever your feelings, I think we can all agree that Amazon is a massive company, and it’s managed to become a big-time player in the corporate world in a relatively short span of time.

In just over thirty years it’s become the world’s second largest company, born as a bookstore under the name of Cadabra in 1994 before changing its name a few months later to Amazon (there’s an amusing, if brief, story about the name change).

But despite its mammoth scale, Amazon is inexperienced in the world of TVs compared to many of its rivals, starting with the partnerships Amazon developed in 2017 (with the not so memorably named ‘Fire TV Edition’), before developing its own TVs (which were a mouthful to pronounce).

2026 sees its TVs re-branded again as the Amazon Ember series, and it’s at this moment that we have a sit-down with the Vice-President of Fire TV, Aidan Marcuss, for a brief state of play about Fire TV. Here’s the first part of our chat on a hot London day at Amazon’s HQ in Shoreditch.

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“We didn’t just move pixels – we rewrote the Fire TV experience”

By now, if you have an Amazon Fire TV Ember series model or a Fire TV streamer, you’d have notice the furniture has changed – Amazon has had a look at the current arrangement and played with the Feng shui of the Fire TV interface.

This “All-New” Fire TV experience follows on from the previous “All-New” version, which seemed to improve things initially before getting bogged down in what I’d describe as ‘too much content’.

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Amazon believes the new interface is a step forward but just how well has the rollout gone?

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Well, given Aidan has “been through a couple interface updates” in his time at Microsoft, he thinks that Amazon “are very pleased with customer reception… we did add a fair amount of surface area, we added the ability to see the movies you have… TV shows you have access to… live sports that you have access to, or news, and what we’re seeing is that enhanced sort of organisation is helping customers find more to watch.”

While he couldn’t give any “fixed” data at the time of the chat, he did say that “the data is very, very clear that customers are finding more , and which is really… the job… the job is helping people find more quickly.”

(After the interview, Amazon dug out in the info “that customers exploring the new content nodes are finding and playing content up to 4 times the rate of those that stay on the Home screen.”)

Amazon Ember TV on a pastel rainbow backgroundAmazon Ember TV on a pastel rainbow background
Image Credit (Amazon)

And with all the current Fire TV devices updated, “they’re all shipping with the new UI in time for Prime Day [June 2026], so anyone who buys a new device for Prime Day will get access to our new user experience, and that’s how confident we are in it, just delivering a better experience for customers.”

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But what does that “better experience” mean for customers?

Better experience means that Amazon Fire TV strives “to have the broadest selection of content available to customers. That means having all of the apps available that customers use to watch content. It means increasingly not just having streaming apps, but it means having live TV, and live TV integrated experience.”

“It means having gaming, gaming apps [in] Xbox, Luna, GeForce Now integrated into the experience, and it means that that’s accessible through search across all of those things.”

“If you search for something, [you] should be able to find it, regardless of what service it’s in, and if it’s on live, we should be able to put it in front of you live on one of those tiles, so you can find a live piece of content.”

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Immediacy and ease of use is what makes for a better experience in Amazon’s view. But live broadcasts are a different beast to finding something that already exists as oppose to something that’s currently unfurling. How would Fire TV bring it to my attention?

“We’ve done the technical work so live TV feels like a first‑class part of the Fire TV experience, not an afterthought”

All New Fire TV Experience 2026All New Fire TV Experience 2026
Image Credit (Amazon)

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Amazon recognises that live TV has become a big part of the viewing experience, and it’s importance is “growing year on year. The number of customers we have watching on Fire TV, is growing year on year. So it’s really critically important for us, and I think you see it in the integrations that we do. For example, having Freely on our televisions here in the UK is an example of making sure we bring the best local experience forward for our customer in terms of live TV.”

“And it’s what we’re always working on with partners, is how do we make sure we can bring their live content front and centre, and… from our perspective, live TV is very technically different than streaming TV. You think about what we’ve had to do as a product team. When you have a catalogue of shows on a streaming service, it’s like a library catalogue.”

“From our perspective, live TV is… technically, it’s very different than streaming TV… there’s an event, it’s on at a particular time and it’s no longer on. And so, how you search for it, surface it to a customer? It might be available on multiple channels. So, which one do you pick? All of that is examples of technical work we’ve done to make sure live TV feels like a first class part of our experience.”

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That’s it for the first part of our chat with Aidan Marcuss, Vice-President of Amazon Fire TV. Tune in for the next part where we cover Alexa, content discovery, personalisation, and the security of the Fire TV platform.

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How Technology Improves Digital Advertising ROI

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Technology improves your digital advertising ROI by automating who sees your ads, fixing what happens after the click, and giving you clearer data on what’s actually working. A bigger budget alone does not fix any of those three problems.

Quick Take

Most businesses that struggle with ad ROI are not spending too little. They are missing one of three things: smarter targeting technology, a website that converts clicks into sales, or clean data that shows which dollars are working. This article walks through each piece, in plain terms, so you can find the gap in your own setup.

Beyond Basic Ad Spend

Putting money into an ad platform is only the first step, not the whole plan. You get real returns when you use technology to reach the right people, at the right time, with the right message. That means going past basic keyword bidding and trying more advanced tools.

Programmatic advertising is one example. It uses automated software to buy ad space in real time, aiming at specific types of users with strong accuracy. As of 2026, programmatic buying makes up roughly 90% of global digital display ad spend, according to industry data pulled from IAB, GroupM, and eMarketer figures. That scale is why most mid-size and large advertisers now run at least part of their budget through it.

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Retargeting works alongside programmatic buying. It uses data on how a visitor already behaved on your site to show them a personalized ad later, bringing interested people back. Setting up a retargeting campaign usually starts with a small tracking snippet on your site, so the ad platform knows who to follow up with. These tools work together to send your budget toward the people most likely to buy, which is how you get more out of every ad dollar instead of just spending more of it.

Website Experience Drives Conversions

You can build the best-targeted ad campaign in the world. If it sends people to a slow or confusing website, that money is wasted. How a visitor experiences your landing page decides whether your ad campaign actually pays off.

When someone clicks your ad, they expect the page to load fast, look right on their phone, and clearly show them what to do next. A clunky website creates friction. People leave fast, and you lose the sale you already paid to win. This is why professional web design & development should be part of your advertising plan, not an afterthought. A well-built site with clear navigation and a obvious next step turns ad clicks into real customer actions.

Side-by-side comparison of a slow, cluttered landing page next to a fast, clean one with a single clear call-to-action button
Small, specific fixes often matter more than a full redesign. Page speed, mobile layout, and a single clear call-to-action button are usually the first three things worth checking. A conversion rate optimization review can point you to which of these is actually costing you sales.

Integrating SEO for Ad Performance

Search Engine Optimization, or SEO, and paid advertising work better together than apart. SEO is the practice of improving your site so it ranks higher in unpaid search results. When you connect SEO and paid ad data, each one makes the other stronger.

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Keyword data from your SEO work shows you what people are actually searching for. That gives you a proven list of terms to test in your ad campaigns. Paid ads, in turn, let you test new keywords fast, before you commit to a longer SEO push around them. You can read more on how the two disciplines connect in this overview of digital marketing strategy.

One common misunderstanding is that a high Quality Score directly buys you a better ad position or a lower cost per click. According to Google’s own Ads documentation, Quality Score is not actually used in the ad auction itself. It is a diagnostic score built from three things: how likely people are to click your ad, how closely your ad matches what someone searched for, and how useful your landing page is. What does affect your placement and cost per click is Ad Rank, which uses those same underlying factors, plus your bid, directly in the auction. In practice this means the same work still pays off. Fast load times and a clear page structure raise your Ad Rank inputs, even though the Quality Score number itself is not what the auction reads.

Measuring Impact with Analytics

To improve your ROI, you have to measure it correctly first. Modern analytics tools show you far more than clicks and impressions. The trick is tracking the numbers that actually match your business goals: cost per acquisition, conversion rate, and customer lifetime value.

Tools like Google Analytics let you set up conversion tracking, so you can see exactly which ads drove a sale, a sign-up, or another action you care about. Attribution modeling goes one step further. According to Google’s own Analytics documentation, attribution models assign credit for a conversion across every touchpoint in a customer’s path, not just the last ad they clicked. This matters because a customer often sees several ads before they buy, and last-click tracking alone hides that. Pairing this data with a marketing mix modeling approach can help you spot which channels are quietly wasting spend, even when each one looks fine on its own.

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Future-Proofing Your Ad Strategy

Digital advertising keeps changing, and privacy is a big part of that. For years, marketers expected Chrome to remove third-party cookies, the small files that let ad platforms track users across different websites. That plan has changed. In April 2025, Google announced it would keep third-party cookies enabled by default in Chrome, giving users a setting to turn them off instead of removing them for everyone.

That does not mean you can ignore the shift toward privacy. Other major browsers, including Safari and Firefox, already block or limit third-party cookies by default. Building a direct relationship with your own audience still matters, through things like useful content, a newsletter, or a loyalty program that earns first-party data honestly. A clear CRM strategy helps you organize and use that data once you have it, instead of losing it in a spreadsheet.

At the same time, artificial intelligence is now built into most major ad platforms, handling parts of bidding, targeting, and creative testing automatically. Guidance from ad-tech vendors in 2026 is consistent on one point: AI works best with human oversight, not as a full replacement for it. Someone on your team still needs to check that automated decisions match your actual business goals and margins, since the software cannot know those on its own.

Common Misconceptions

A higher Quality Score directly lowers your cost per click. This is the most common mix-up in this space. As explained above, Quality Score is a diagnostic tool. The auction itself runs on Ad Rank, which shares some of the same inputs but is a separate calculation.

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Programmatic advertising runs itself once it is set up. Automated bidding still needs a person checking in regularly. Left alone for months, a campaign can drift toward the wrong audience or waste spend on stale settings nobody reviewed.

More ad technology always means more sales. Technology only helps if the page it sends people to actually works. A fast, well-targeted ad pointed at a broken landing page still fails.

Where This Approach Has Limits

Automated bidding tools, including the AI-driven ones built into most ad platforms, need a certain amount of conversion data before they optimize well. A very small daily budget or a low number of monthly conversions can leave these tools stuck in what’s sometimes called a cold start, where they simply do not have enough signal yet to make good decisions. If that’s your situation, a simpler, manually managed campaign may outperform an automated one until your volume grows.

Connecting SEO and paid data also takes time and, often, more than one person’s skill set. A small team running ads part-time may not have the bandwidth to build attribution models or run a full SEO-and-PPC integration. In that case, focus first on the landing page and tracking basics covered above. They matter more, and cost less to fix, than advanced automation.

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Key Takeaways

Ad spend alone does not create ROI. The technology behind targeting, your website, and your data does the actual work. Programmatic buying and retargeting put your budget in front of the right people. A fast, clear website turns those clicks into sales instead of losing them. Connecting SEO and paid data, and understanding what really drives Ad Rank, helps you spend less to get the same result. Accurate analytics and attribution show you which of these pieces is actually paying off, so you can put more budget behind what works and less behind what doesn’t.

FAQ

Is programmatic advertising only worth it for big companies with big budgets?

No. Self-serve platforms like Google Ads and Meta Ads Manager already run on programmatic-style automated bidding, and small businesses use them every day. The caution is different: very low budgets may not generate enough data for the automation to optimize well, which is covered in the limits section above.

Do I need to hire a developer to fix my landing page for better ad performance?

Not always. Small fixes, like shortening a page, adding one clear button, or compressing images for faster load times, can often be done with no-code website tools. A full site rebuild, or fixing deeper technical SEO issues, usually benefits from a developer’s help.

How long does it take to see an ROI improvement after adding these tools?

This varies by budget, industry, and how much conversion data your account already has, so there’s no single reliable number. As a general pattern, retargeting and landing page fixes tend to show results faster, often within a few weeks, while automated bidding models typically need more time and data to fully learn.

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Chrome kept third-party cookies. Does that mean I can stop worrying about privacy changes?

No. Chrome is only one browser. Safari, Firefox, and privacy-focused browsers like Brave still block or limit third-party cookies by default, which together cover a meaningful share of web traffic. Building first-party data through your own audience relationships still protects you if browser policy shifts again.

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Netflix brings 4K streaming to Chrome, but you probably don’t qualify

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Bottom line: Chrome users can now watch Netflix shows in 4K resolution. However, the streaming giant is offering this high-quality option only to users who meet the strict hardware requirements set by the company. Is the official Netflix app still the best streaming option for the broader PC ecosystem?

Netflix’s support for 4K streaming through Chrome on Windows was spotted last month. Now, the media giant has updated its documentation to explain exactly how subscribers can unlock the higher-quality option. However, the move will still leave many users behind, despite bringing 4K playback to the most popular web browser used by hundreds of millions of people worldwide.

Netflix’s updated browser support documentation now lists Chrome 117 or later as a browser capable of streaming shows in Ultra HD (2160p) resolution. Previously, the feature was only available through Microsoft Edge and Safari. Furthermore, 4K streaming requires users to subscribe to the appropriate plan; in the US, the Premium plan is currently the only option that supports 4K and costs $27 per month.

Even worse, Chrome compatibility with 4K streaming is limited to Windows PCs and Chromebook devices. Mac users will still need to rely on Safari, or even Microsoft’s Edge browser for macOS, to watch their favorite shows at the highest resolution supported by the service.

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Browser support aside, streaming Ultra HD content on computers requires additional hardware and software that Netflix outlines in another support document. These requirements include a “steady” internet connection with speeds of 15 Mbps or higher, Windows 11 with the latest updates installed, and a modern GPU from either Nvidia (GeForce GTX 1050 or newer) or AMD (Radeon RX 400 series or newer).

Additional requirements include a 7th-generation Intel Core processor, an AMD Ryzen processor, or newer models, along with a proper 4K 60Hz built-in or external display/TV that complies with the HDCP 2.2 DRM standard. Multiple displays can be used for 4K playback, but they must meet the same requirements.

Netflix’s hardware requirements should also apply to the company’s dedicated Windows app, meaning there is currently no official way for Windows 10 users to access Ultra HD playback. Official Chrome support will certainly allow a wider audience to access higher-resolution Netflix content, while people using alternative browsers such as Firefox or Brave are still excluded from the feature.

In that sense, my personal experience dealing with protected media content on PCs suggests that things are unlikely to improve anytime soon. Watching an Ultra HD Blu-ray release – which still offers significantly better quality than streaming – on a Windows 10 PC requires considerable tinkering, including DRM workarounds, firmware flashing, and purchasing compatible hardware. However, it can ultimately be done if you’re determined enough.

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Kids’ smartwatches are meant to keep children safe, but hackers can turn them into stalking devices

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A smartwatch designed to help parents keep tabs on their children turned out to be surprisingly easy to hijack. In a new demonstration, security researchers showed how hackers could secretly monitor someone wearing a GPS-enabled kids’ smartwatch.

They can take photos, listen through its microphone, and even track location without the wearer noticing. These findings, reported by Wired, highlight a much larger problem that goes well beyond a single gadget.

One smartwatch revealed a much bigger security problem

Security researchers Vangelis Stykas and Felipe Solferini used a $30 kids’ smartwatch sold online and found they could quietly follow its wearer throughout the day. Even when the GPS signal was glitchy, the watch continued transmitting nearby Wi-Fi information, allowing the researchers to pinpoint the wearer’s location.

They also remotely activated the camera to capture photos and listened through the built-in microphone, all without any visible warning on the device. The watch runs on SETracker, a platform built by Shenzhen manufacturer YiQingTeng, which had an authentication flaw that let anyone send commands to any connected device.

What makes the discovery more concerning is that the smartwatch was not unique. It also echoes a pattern seen in other family-facing connected devices, where outsiders gained silent access without the family ever knowing. According to the researchers, dozens of smartwatch brands rely on the same underlying software platforms and backend services.

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How does this affect millions of other kids?

The researchers found vulnerabilities that could let attackers access locations, intercept messages, replace emergency contacts, record audio, and capture photos or videos on supported devices. These issues were privately reported by the researchers months ago. While one company appeared to fix some flaws shortly before their public presentation, others had not responded or remained vulnerable.

After studying more than 70 GPS-enabled devices, they concluded that millions of smartwatches and vehicle trackers are built on just a handful of shared supply chains. That means one security flaw can affect products sold under many different brand names. So parents in two different countries could each buy a differently branded watch and still send their child’s location to the same vulnerable server, without ever knowing it.

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