In an era where “new model” usually means “time to replace the old one,” Cambridge Audio just did something refreshingly unglamorous and important. The company has rolled out Qobuz Connect to its legacy StreamMagic Gen 2 and Gen 3 platforms, extending modern streaming control to products that have been sitting in racks and on shelves for years.

That means owners of the StreamMagic 6 V2, CXN, CXR, Azur 851N, CXN V2, and Edge NQ can now control playback directly from the Qobuz app via an OTA update; no new hardware, no forced upgrade cycle. Qobuz still works through the StreamMagic app as before, but Connect adds a more direct, native control path that many subscribers prefer.

It’s good to see a brand remember that its customer base didn’t magically appear in the last 24 months. Supporting Gen 2 and Gen 3 after rolling out Qobuz Connect to Gen 4 isn’t flashy, but it sends a clear message: what you bought still matters. Your streamer didn’t just age out because a new box showed up with a higher number on it.

It also proves something else; customers aren’t shouting into the void. The questions, feature requests, and yes, the complaints that show up on Instagram, Facebook, Audiogon, and the forums? They do get seen. Sometimes they even lead to action. That kind of accountability shouldn’t be rare in the hi-fi category, but too often it is.

There are plenty of alternatives out there. Some cost less. Some arguably do more. In a crowded field, long-term support isn’t just goodwill on the part of the manufacturer but smart business strategy. It’s also hard not to wonder whether Cambridge’s recent decision to appoint Fidelity Imports as its new U.S. distributor played a role here. Distribution shifts aren’t just about logistics and dealer networks, they’re about market responsiveness. If you’re trying to rebuild momentum and reinforce trust in a crowded category, showing existing owners that their gear still has a future is a smart place to start.

This update follows Cambridge’s recent additions of Spotify Lossless, Amazon Music, and QPlay to the StreamMagic platform. Rather than introducing new hardware, the company has continued expanding service support across existing models.

What Is Qobuz Connect and Why Should Cambridge Audio Owners Care?

Qobuz Connect lets subscribers stream directly from the Qobuz app to compatible devices over Wi-Fi or Ethernet, turning the app into the primary control interface. Your Cambridge streamer (or other supported hardware) becomes the playback endpoint, while your phone or tablet functions as the remote. The result is native control with full lossless and high-resolution streaming up to 24-bit/192 kHz. So no Bluetooth, no compressed handoffs, and no need to route playback through a secondary app.

Launched on May 15, 2025, Qobuz Connect has expanded quickly. In less than a year, support has grown to more than 100 hardware partners, covering A/V receivers, network streamers, powered speakers, and integrated amplifiers. That broader compatibility keeps control centralized inside the Qobuz app while giving subscribers more flexibility across systems and brands.

The Bottom Line

The biggest winner here is the existing Cambridge Audio owner. Adding Qobuz Connect to StreamMagic Gen 2 and Gen 3 extends the useful life of hardware that, in many cases, is still performing at a very high level. It removes friction, adds native app control, and keeps those products aligned with how people actually stream music in 2026. No new box required. No forced upgrade cycle.

In 2026, StreamMagic isn’t just a control app, it’s Cambridge’s full streaming ecosystem. It supports major services including Qobuz, TIDAL, Spotify (including Lossless where available), Amazon Music, QPlay, AirPlay 2, Chromecast built-in, Roon Ready integration, and local UPnP playback.

With Qobuz Connect now folded into that framework across multiple generations, Cambridge has strengthened the platform’s long-term relevance. In a crowded streaming market where alternatives are plentiful and often cheaper, sustained software support is what separates a product you replace from one you keep.

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A former candidate in the 2026 race for governor of California and a popular YouTuber have been kicked off Kalshi’s platform for alleged violations related to insider trading, the popular prediction market revealed Wednesday.

In a blog post detailing the cases, Kalshi’s head of enforcement, Robert DeNault, noted that the company’s surveillance system had flagged suspicious behavior in both instances.

In the case of the political candidate, Kalshi cited a video posted online “that appeared to show him trading on his own candidacy.” Kalshi froze the candidate’s accounts and reported the activity to the Commodity Futures Trading Commission, the government agency that oversees prediction markets. It instituted a five-year ban and is fining the account a penalty 10 times the size of the initial trade, which Kalshi says it intends to donate to charity.

While Kalshi does not mention the candidate by name, DeNault notes that they have recently dropped out of the race and shifted to running for Congress. This fits the description of only one person involved in the race: Kyle Langford, a far-right Republican candidate best known for inflammatory antisemitic comments praising Nazis. Langford has since dropped out and launched a campaign styled as a progressive Democrat in California’s 26th district.

In May 2025, Langford posted a video to X showing a screen recording of a trade order placed on Kalshi for an event in the governor’s race. Shortly after the incident, Kalshi confirmed that it was looking into Langford’s activities. In his description of the investigation into the candidate, DeNault notes that Kalshi began its investigation that May.

“Tensions between the USA and Iran are at an all-time high, and the media has chosen to cover a $200 campaign gimmick (aka betting on I, myself) from last year,” Langford said in a statement to WIRED. “Is this really the state of our political discourse?”

This is not the only suspension tied to the California governor race; as Politico reported on Tuesday, Democratic megadonor Stephen Cloobeck, who was briefly a candidate before dropping out to endorse representative Eric Swalwell, has also been blocked by the platform for attempting to trade on the race. “In the event we ever see a candidate trading on their own candidacy, it triggers disciplinary action on the exchange. Their trade gets frozen. They may be permanently suspended from having an account,” DeNault said in a statement. Cloobeck confirmed the bets to Politico and said he is still able to trade on other events.

This crackdown underscores how expansive definitions of “insider trading” can be on prediction markets; while traditional insider trading cases hinge on subjects profiting from “material nonpublic information”—confidential data or intelligence that can impact stock prices—here, even placing bets while working on an election or running for office can violate the rules.

In the case of the YouTube streamer, Kalshi reports that its surveillance systems flagged the account based on “statistically anomalous” trading success. It also received concurrent tips from Kalshi users, who had flagged the unusual activities. “We investigated and found that the trader was employed as an editor for the streamer’s show and likely had access to material nonpublic information connected to his trading,” DeNault writes in the report. The account was frozen before it could withdraw funds; it is now suspended for two years, and it has also received a financial penalty. Kalshi did not disclose the identity of the YouTube streamer.

As prediction markets have exploded in popularity, there has been a series of high-profile incidents of suspected insider trading, including major trades made just prior to geopolitical events like the US capture of Venezuelan leader Nicolás Maduro. In Israel, two Polymarket traders were recently arrested for leaking classified information in connection to trades made on military activity. Following the Maduro incident, Congress introduced a bill to ban government officials from insider trading on prediction markets—but there have not been any enforcement actions made public.

Hours after an ICE agent shot and killed Renee Good in Minneapolis, the Trump administration was already working to shape the narrative. Official White House accounts flooded social media with clips of burning flags and clashes between locals and federal immigration agents, casting protesters—not the killing—as the story.

Among the accounts amplifying that message was Johnny MAGA, a pro-Trump X account with nearly 300,000 followers. “They’re burning the American flag right now in Minneapolis,” the anonymous account claimed, sharing a clip from the White House’s official rapid response feed. “And they really expect you to believe that ICE shot an innocent civilian.”

To its audience, Johnny MAGA looked like an independent voice, another outraged supporter in the MAGA media ecosystem. The account regularly boosts Trump’s Truth Social posts and goes to bat for the administration, attacking Democrats like California governor Gavin Newsom.

But this isn’t just a regular account. Johnny MAGA appears to actually be a White House staffer named Garrett Wade who works for the Trump administration as a rapid response manager, helping to run the very same White House account his anonymous MAGA account amplifies. A phone number associated with Wade is linked to Johnny MAGA, according to a WIRED review of publicly available records, and the connection was confirmed by a source close to the White House.

Wade and the White House did not respond to requests for comment.

The Johnny MAGA account was created in September 2021, according to its X profile. (It originally used a different handle, which referenced Wade’s birth year, according to records reviewed by WIRED.) While the account’s earliest available posts focused on NFTs, it has been a consistent pro-Trump presence since at least 2022.

The operator of the Johnny MAGA account has not disclosed an official relationship with the White House while operating the Johnny MAGA X account. Multiple media outlets, including Mother Jones, TownHall, and the New York Post, have all linked out to posts on the Johnny MAGA account seemingly as organic reflections of public sentiment on political issues.

Since Trump took office last year, the Johnny MAGA account has supported administration priorities like immigration enforcement, and allies like Turning Point USA. After Trump posted a racist AI-generated video depicting Barack and Michelle Obama as apes earlier this month, the Johnny MAGA account boosted the White House’s claim that the president didn’t watch the entire video, posting, “the most obvious tell that Trump’s Truth Social post wasn’t intentional is that he would’ve posted the entire thing if he had seen it. It’s a masterpiece.”

While the Trump administration has long cultivated a growing cast of conservative creators to spread its messaging online, a White House staffer moonlighting as an anonymous MAGA influencer would blur the already hazy line further, making it nearly impossible to distinguish between official government messaging and what appears to be organic digital support. This lack of disclosure risks undermining public trust, disinformation researchers suggest.

“People have a right to know who is trying to manipulate public opinion, and they have a right to know whether or not they’re experiencing astroturf politics,” says Samuel Woolley, a University of Pittsburgh professor who studies disinformation and media ethics. “This lack of transparency and the conflict of interest surrounding this account and the lack of disclosure all amount to a breach of public trust.”

There is very little public information online about Wade, but Federal Election Commission records link him to former White House senior communications leadership. Donations from 2023 through WinRed made by a Garrett Wade from suburban Philadelphia—where Wade graduated high school—list his employer as “tech school” in March 2023 and in December that year as Opinion Architects, a digital consultancy group. The donations also list Wade as residing in the Bucks County area of Pennsylvania, where he previously lived, according to public records. The phone number associated with Wade and with Johnny MAGA—who in the past has listed his location as Philadelphia—is also geolocated to the Bucks County area.

Google is making it very easy to feel like a music producer, whether you have the skills or not. The company has announced that ProducerAI, an AI-powered music-making platform, is joining Google Labs, bringing together sound generation, visuals, and video into one experimental creative tool.

ProducerAI is powered by a preview version of Lyria 3, Google’s newest music-generation model. You can describe what you want, and the AI helps you build it, whether that means crafting beats, shaping melodies, or experimenting with entirely new sounds.

ProducerAI first launched in July 2025 to let users collaborate with an AI agent to generate music, workshop lyrics, and remix tracks from text prompts. Until now, it relied on its own underlying models. Joining Google Labs gives it access to a much larger AI toolkit.

Inside Google’s AI-powered music studio

As a part of Google Labs, ProducerAI will pull from several of Google’s models. Lyria 3 handles music generation, while Gemini powers the conversational interface that guides users through ideas and edits.

Nano Banana will generate album art, and Veo will be used to create AI-generated music videos, turning a song idea into a complete audio and visual project. Google says it will also embed SynthID watermarks into ProducerAI outputs.

This flags AI-generated audio, images, video, and text, adding transparency as AI music becomes harder to distinguish from human work. But companies like Sony have already developed a tool to detect original songs used in AI-generated tracks.

The ProducerAI team has already worked with artists like The Chainsmokers, Lecrae, and Anjulie to shape the platform. Google positions ProducerAI as an experiment, not a replacement for musicians. However, this collaboration arrives at a time when AI-generated songs are topping Billboard charts, drawing scrutiny from artists and listeners alike.

For years, the “last mile” of digital transformation has been littered with forgotten PDFs and ignored training manuals. 

Organizations spend millions on sophisticated software like SAP or Salesforce, only for employees to struggle with basic navigation. Now, as the era of agentic AI arrives, companies face a double-edged sword: they must teach human employees to collaborate with AI, while simultaneously teaching AI agents to navigate the labyrinthine interfaces of the modern enterprise.

One idea that seems to be gaining momentum among AI-forward businesses: using screen recordings and tutorials/walkthroughs of someone performing an enterprise task — be it creating a new ticket or processing an invoice — and training AI to replicate the flow based on the screen capture. Just this week, a startup called Standard Intelligence went viral on X showing an early demo of open-ended version of this for the physical and digital world.

But the truth is, there are already players tackling this problem for the enterprise itself square-on: case-in-point, Guidde, an Israel startup born during the video-centric years of the COVID-19 pandemic, today announced an oversubscribed $50 million Series B funding round led by PSG Equity to address this exact knowledge infrastructure crisis. 

Instead of feeding an agent a static PDF manual, Guidde provides high-fidelity “Video Ground Truth”—a rich stream of data captured from real human experts as they navigate complex software.

The investment signals a shift in how the tech industry views documentation—not as a static byproduct of work, but as the critical telemetry needed to train the next generation of autonomous digital agents.

Technology: from video capture to world models

At its core, Guidde is an AI Digital Adoption Platform (ADAP). However, its technological breakthrough lies in what happens behind the scenes during a recording.

Guidde isn’t just recording pixels; it is capturing every click, scroll, and latent interaction with the HTML page—the subtle pauses, the specific scroll depths, and the corrections a human makes when a system lags. This telemetry transforms raw video into a Vision-Language-Action (VLA) training set.

Meanwhile, the platform’s Magic Redaction automatically obscures sensitive data like passwords or credit card numbers during capture, ensuring materials remain secure and HIPAA-aligned.

“Every time you click a button, you drag-and-drop, you scroll, you type, we gather the interaction… all of it, we do cleanse it—there’s no private information,” explained Guidde co-founder and CEO Yoav Einav in an exclusive interview with VentureBeat.

Under the hood, the platform captures the underlying metadata and DOM (Document Object Model) changes synchronized with the video frames. The differentiator is the telemetry hidden beneath the surface.

This rich metadata creates a “digital world model” of enterprise software. And because each enterprise uses its own unique mix of apps and processes, Guidde is creating a data moat that allows enterprise agents to reason through legacy UIs with the same spatial awareness as a human, ensuring that automation actually works in a production environment rather than just a lab demo.

For a human, it’s a tutorial. For an AI agent, it is a high-fidelity map of the interface. This allows agents to “see” and reason through complex UIs the way humans do, solving the “last mile” of automation where agents previously failed due to lack of specific enterprise and in-situ usage context.

In a sense, Guidde is building a “self-driving car” like a Waymo for computer usage.

Product: three pillars of Guidd-ance

The platform has evolved into three distinct products designed to scale with an organization’s maturity:

1. Guidde Create: The engine for subject matter experts to turn workflows into documentation in minutes.

2. Guidde Broadcast: A personalized recommendation engine—often compared to Netflix—that delivers answers inside the tools people actually use. It knows who the user is and what department they are in to surface relevant content exactly when needed.

3. Guidde Discover: The newly launched “agentic” pillar. Like Waze mapping roads by observing drivers, Discover maps software routes by tracking how employees work. It understands the workflow, creates the content, and updates it automatically when the UI changes.

Training humans how to use AI — and AI using humans

The most non-obvious aspect of Guidde’s growth is its dual-purpose mission. “We’re the only platform that trains both humans and agents,” Einav stated.

As companies roll out AI tools like Microsoft 365 Copilot or ServiceNow agents, they hit a proficiency gap. One of Guidde’s largest customers revealed they were paying over $1 million a year for a sophisticated AI tool, yet “nobody knows how to use them because they did like a 30-minute training session, and then that’s it.” Guidde closes this gap by providing “bite-sized” video tutorials in the flow of work.

Simultaneously, these videos train the AI agents themselves. Foundation models like Gemini or GPT-4 often hallucinate when tasked with specific enterprise workflows because they weren’t trained on the highly specific, internal “vanilla workflows” found in private enterprise systems. Guidde provides the “starting point,” the “metadata,” and the “x, y coordinates of the button” that an agent needs to complete an action without getting stuck.

The multimodal advantage

To maintain this level of accuracy, Guidde employs a multimodal infrastructure. The system doesn’t rely on a single model; instead, it uses a “fleet” of models that evaluate one another.

• Google Gemini: Generally used for visual tasks like analyzing PDFs or PowerPoints.

• Anthropic Claude: Leveraged for writing the storyline and narrative scripts.

• Feedback Loops: When a user edits a video, that data is fed back into the model to prevent the same mistakes from occurring in future captures.

This approach allows Guidde to replace a legacy stack of six or seven disconnected tools—Loom for capture, Adobe Premiere for editing, 11Labs for text-to-speech, and Synthesia for avatars—with a single, AI-native platform. “We basically pack everything for you,” Einav says, “and automate the entire process based on your brand guidelines.”

Video-first origin story

The genesis of Guidde lies in a frustration familiar to any product leader. Before founding the company, Einav and co-founder Dan Sahar spent years mastering video traffic at Qwilt, a company they started in 2010 to analyze how people watched Netflix and Disney+. 

When COVID-19 hit, they saw a massive opportunity to apply that video expertise to the workplace. They observed that short video explainers could increase free-to-paid account conversions by 30%, but the friction of creating them was unsustainable.

In an interview, Einav recalled the “tedious work” of the old world: “My team in Israel were creating the content, someone in the US with a US accent was doing the narration, someone in the marketing team would write the script… and someone in the enablement team would do the edit.” This fragmented workflow meant a single video took two to three weeks to produce. “And then two weeks later, the product changes, and you need to redo it from scratch,” Einav added.

Guidde was built to collapse this cycle into seconds. By automating the “Magic Capture” of a workflow, the platform generates a structured narrative script and professional AI voiceover instantly. This removes the editing bottleneck, transforming subject matter experts into “training powerhouses.”

Licensing and market impact

Guidde’s pricing structure reflects its transition from a utility to a core piece of enterprise infrastructure:

• Free: $0 (Up to 25 videos, web-app support).

• Pro: $18/creator/month (Unlimited videos, brand kits).

• Business: $39/creator/month (Unlimited text-to-voice, analytics).

• Enterprise: Custom pricing (Multi-language translation, SSO, Magic Redaction).

The platform’s impact is already visible in the numbers: a 41% reduction in video creation time and 34% fewer inbound support tickets. 

For customers like Emerson, this translates to 40–60% quicker guide creation. Support teams, in particular, are finding they can offload 80% of their ticket volume with agents—but only if those agents have the content to be useful. 

“The agent without the content is useless,” Einav warns, noting that most enterprise documentation is either years out of date or entirely undocumented.

Community and industry early reception

Guidde already claims 4,500 enterprise customers and seeks to expand this number with its new round of funding. Support and operations leaders have been vocal about the platform’s ease of use. Christopher Cummings, VP of Client Experience at DocNetwork, highlighted its ability to provide “quick, personalized video responses to customer questions.”

 Meanwhile, Wren Cotrone, a Director of Customer Support, noted that “Once you set the branding the way you want, you can really zoom through this stuff.”

Ronen Nir, Managing Director at PSG, summarized the investment thesis: “Guidde is solving one of the biggest blockers to successful AI adoption: the knowledge infrastructure.”

Why this matters now

The paradigm shift from text-only LLMs to agentic video intelligence is the defining trend of 2026. Guidde’s Series B signals that the “ground truth” for enterprise agents will come from raw video observation, not static documentation.

By capturing how work gets done across 10s of millions of workflows, Guidde is building a dataset that few others possess. 

As Einav put it: “It starts with humans in the loop, and over time moves toward full autonomy.” For the modern enterprise, the map is no longer a static document—it’s a living, breathing video intelligence layer that guides both the workforce and the agents that support them.

AI chatbots have become embedded in the lives of American teenagers, according to a report published Tuesday by the Pew Research Center.

While the most common uses of AI among this demographic are to search for information (57%) and get help with schoolwork (54%), teens are also using AI to fill roles that would typically be occupied by friends or family. Sixteen percent of U.S. teens say they use AI for casual conversation, while 12% use AI chatbots for emotional support or advice.

Some teens may find solace in talking to chatbots, but mental health professionals are wary. General purpose tools like ChatGPT, Claude, and Grok are not designed for such uses, and in the most extreme cases, these chatbots can have life-threatening psychological effects.

“We are social creatures, and there’s certainly a challenge that these systems can be isolating,” Dr. Nick Haber, a Stanford professor researching the therapeutic potential of LLMs, told TechCrunch recently. “There are a lot of instances where people can engage with these tools and then can become not grounded to the outside world of facts, and not grounded in connection to the interpersonal, which can lead to pretty isolating — if not worse — effects.”

Pew’s survey also shows a discrepancy between teenagers’ self-reported AI usage and the extent to which their parents think they engage with this technology. About 51% of parents said that their teen uses chatbots, while 64% of teens reported using them.

The majority of parents are okay with their teens using AI to search for information (79%) or get help with schoolwork (58%), but far fewer parents approve of their teens using AI chatbots for casual conversation (28%) or to get emotional support or advice (18%). In fact, 58% of parents are not okay with their child using AI for such purposes.

AI safety is a contentious topic among leading tech companies, to say the least. But one popular chatbot maker, Character.AI, made the choice to disable the chatbot experience for users under the age of 18. This decision followed public outcry and lawsuits filed over two teenagers’ suicides, which took place after prolonged conversations with the company’s chatbots. OpenAI, meanwhile, made the decision to sunset its particularly sycophantic GPT-4o model, which sparked backlash from people who had come to rely on the model for emotional support.

Though a majority of teens use AI chatbots in some way, they have mixed feelings about the impact of this kind of technology on society. When asked how they think AI will impact society over the next 20 years, 31% of teens said the impact would be positive, while 26% said it would be negative.