There has always been a lot of information that could be gathered from Beta Pictoris, which is the best place to learn about the formation of planets in our galaxy. It’s located just 63 light years away from us, and it was formed some 23 million years ago. There is a lot of debris material around this star, along with two heavy impacting planets.

The James Webb Space Telescope was aimed at Beta Pictoris b, which is the innermost planet in this region. Scientists employed the NIRSpec integral field spectrograph for taking images of the sky region and the entire spectrum of it, hoping to study the gases around planet B. However, the results were not what they expected to see.

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As they were investigating one region of the disk where they expected to see a uniform light display, they saw a distinct pattern of absorption that shares a rather creepy similarity with carbon monoxide in the atmosphere of a planet, a uniform distribution of wavelengths, like some sort of clandestine message is being broadcast right under everyone’s nose, and was clearly more pronounced than the usual dust display. At a later date, they obtained spectra from the MIRI device on the Webb telescope, showing signs of water vapor and methane.

The team was then able to confirm the motion of the planet using the same data, by looking at how the lines were shifting, and that showed that the planet was orbiting around the sun in a plane similar to that of the two other bigger planets. This confirmation was achieved through the cooperation of the European Southern Observatory’s Very Large Telescope with the NIRCam on board the Webb space telescope

This particular planet has been named Beta Pictoris d because it is the smallest of the three planets that have been found until now. Being twice the size of Jupiter in terms of mass, it is indeed small, but then again it is a planet, and being at a distance 30 times farther from the sun than the Earth, it is quite far from the two other bigger planets, yet still inside the dust disk. This all results in the conclusion that as expected, this particular planet turned out to be everything we were hoping for.

SAAS

Investment bank cites messy customer data and a product that ‘just isn’t there’; Salesforce counters by saying it the fastest-growing product in its history

Salesforce’s flagship AI agent platform is struggling to convince customers of its value, according to an investment bank.

The SaaS giant has bet the farm on AI agents, hoping they will fetch and carry data from its systems into a conversational UI, according to its vision of headless CRM.

The cornerstone of the strategy is Agentforce, which the vendor promises will help customers build, test, deploy, manage, and orchestrate AI agents in the enterprise.

However, a report from KeyBanc Capital Markets cites its recent CIO survey, which found customers did not view the CRM plan favorably.

“Our checks and customer conversations have not been strong, nor has the feedback been on Agentforce. What we can piece together in the disclosed numbers does not signal building momentum and, most recently, our CIO survey delivered another blow with Salesforce being a standout for the wrong reasons,” the report says.

The report, authored by Jackson Ader, the investment bank’s managing director for software equity research, and three other analysts, says KeyBanc Capital Markets view of Salesforce was not down to the negative perception of software companies generally — the so-called SaaS-pocalypse.

“We attend more Salesforce partner and customer events than any other company in our coverage, and feedback from those customers has been consistent in two ways: 1) customers’ data is not in order to do meaningful AI work; and 2) Agentforce, as a product, just isn’t there,” it claims.

“Partners we speak with are just now beginning to convert Agentforce proof of concepts into deals in the pipeline, and more CIOs in our survey expect to deprioritize Salesforce within their IT budget than the other way around over the coming 12 months.”

A Salesforce spokesperson told The Register: “Agentforce is the fastest-growing product in Salesforce history, with customers like Engine, Falabella, and AAA going live in weeks, not months. We’re focused on helping customers move faster, including through forward-deployed engineers and out-of-the-box agents.”

The KeyBanc report says Salesforce is presiding over “aggressive price increases” while the majority of customers are “not willing to pay for AI capabilities through their CRM provider.” Salesforce, nonetheless, has retained a commanding position in the CRM market, the investment bank says.

Speaking of pricing, back in January, Gartner warned Salesforce users that a capped enterprise agreement for its AI and data platforms may not be available when they come to renew these deals, potentially meaning customers could struggle to predict costs and understand value – although Salesforce strongly disputed this contention at the time. Bill Patterson, Salesforce EVP, Corporate Strategy, told us at the time, “The claim that we are moving away from capped agreements is inaccurate.” 

Meanwhile, an earlier report from global equity research firm Bernstein said Agentforce was “still in early stage of adoption” and would not drive Salesforce’s growth in the short term.

“Consumption-driven monetization at AgentForce will take longer than most expect. We also believe that AgentForce will be most successful in the company’s core CRM market and not that well-used outside the core as there are other AI platforms and many SaaS vendors and the hyperscalers are offering their own AI functionality,” the report says.

Wall Street bettors seem to share this bearishness toward the company in general, sending its stock down over 36% this year. ®

OpenAI did not agree to pay roughly $5 billion in stock for the remaining 77% of Jony Ive’s io Products because the world desperately needed another fabric-covered cylinder that can set a kitchen timer and misunderstand the name of your favorite jazz pianist.

According to a new Bloomberg report, OpenAI’s first major consumer hardware product is expected to be a portable, screenless smart speaker built around ChatGPT. The still-unannounced device reportedly includes microphones, a camera, additional environmental sensors, a rechargeable battery and mechanical components capable of moving on their own. OpenAI reportedly wants to reveal the product before the end of 2026 and begin shipping it in 2027. 

OpenAI has not confirmed the design, specifications, price or release date. This is therefore not a product launch, regardless of how many tech websites have already written headlines this morning pretending that one occurred.

It is, however, the clearest indication yet of what OpenAI and Ive believe should come after the smartphone: an AI companion that lives in your home, understands its surroundings and communicates without requiring you to stare into another glowing rectangle.

That sounds more ambitious than an Amazon Echo or Google Home.

It also sounds like something Philip K. Dick would have removed from the wall with a hammer.

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What Is OpenAI Reportedly Building?

The device is described as resembling a smart speaker, although that may undersell what OpenAI has in mind.

It will reportedly be able to play music and other media, answer questions, control smart home products, respond to messages and access the broader capabilities of ChatGPT. A camera and other sensors would allow it to interpret objects, people and activity in the room rather than relying entirely on spoken commands. Its rechargeable battery would let users move it around the house instead of permanently tethering it to a kitchen counter. 

Bloomberg also reports that the device will use GPT-Live, OpenAI’s new voice technology. GPT-Live is designed for full-duplex communication, meaning it can listen and respond continuously, recognize interruptions and pauses, and decide whether to continue speaking or wait for the user. That should make conversations feel less like issuing instructions to a hotel-room alarm clock and more like speaking with something that understands conversational rhythm. 

The strangest reported feature involves mechanical elements that move independently. Nobody outside the project appears to know whether that means a rotating camera, a speaker that physically turns toward the user, or something more disturbing that follows you into the garage during a phone call to Moscow and then into the bathroom for some deeply unauthorized OnlyFans surveillance.

A moving camera could improve visual tracking and microphone positioning. A device that nods sympathetically when you complain about the mortgage would be another matter entirely.

Previous reporting suggested a price between $200 and $300, although that figure has not been confirmed and could change before release. Reports have also pointed to a larger OpenAI hardware roadmap containing approximately five products, potentially including smart glasses and other home devices. 

Why Start With a Speaker?

A speaker gives OpenAI direct access to the interface it already understands best: conversation.

Building a smartphone would require OpenAI to compete immediately with Apple, Google and Samsung across displays, processors, cellular radios, operating systems, app stores, cameras and carrier relationships. That is a wonderful way to turn billions of dollars into a warehouse filled with unsold phones.

A screenless speaker is a more manageable first step. It can rely heavily on cloud processing, use existing Wi-Fi networks and connect with services people already use. It also allows OpenAI to position ChatGPT as something that exists throughout the day rather than an app that must be opened.

OpenAI and Ive have repeatedly criticized the limitations of traditional interfaces. In announcing the io acquisition, they argued that modern AI capabilities remain trapped inside familiar products and screens. Ive and his independent design company LoveFrom now have broad creative responsibilities across OpenAI, while the former io hardware team has been absorbed into the company. 

The speaker is therefore unlikely to be marketed primarily as an audio product. It will be marketed as the physical body of ChatGPT.

Whether it also sounds good remains a very different question.

Is This Really a Smart Speaker?

OpenAI will have to explain whether this is a speaker designed for music or an AI appliance that happens to contain a loudspeaker.

Amazon, Apple, Google and Sonos have spent years developing microphones, acoustic echo cancellation, multiroom synchronization, voice pickup, loudspeaker protection and room-adaptive processing. OpenAI has world-class AI researchers and an expensive collection of former Apple engineers, but it does not have an established home-audio platform.

Portable operation also creates compromises. Batteries, cameras, processors, motors and thermal management all consume internal space that could otherwise be used for drivers and acoustic volume. If the product is small enough to carry from room to room, nobody should expect it to replace a proper stereo system unless OpenAI has discovered a new branch of acoustics while the rest of the industry was attending another cable demonstration.

The product will also need broad support for Spotify, Apple Music, Amazon Music, YouTube Music, TIDAL, Qobuz and internet radio if OpenAI expects anyone to use it as a serious music source. Smart home support will require Matter, Thread and integrations with lighting, security, thermostats, cameras and appliances.

OpenAI currently controls none of those ecosystems.

That leaves partnerships, APIs and a great deal of account authorization. The AI may be clever, but it still needs permission to open your calendar, send a message, change the thermostat and play Kind of Blue from the correct service.

What Could OpenAI Offer That Amazon and Google Cannot?

The existing smart-speaker companies are hardly asleep.

Amazon’s Alexa+ already uses generative AI for conversational responses, personalization, smart home control, shopping, reservations and multi-step tasks. Amazon has also introduced Echo hardware built specifically for Alexa+, including sensor fusion intended to make the assistant more proactive and aware of what is happening in the home. 

Google’s new $99.99 Google Home Speaker was designed for Gemini for Home. It supports more natural language, multiple commands within a single request, conversational corrections, smart home control and optional advanced features through Google Home Premium. 

Apple has introduced Siri AI, a substantially more conversational assistant integrated across Apple devices and personal data. HomePod already offers music playback, HomeKit control, messaging and personalized voice recognition, while Apple continues to emphasize privacy and integration with the iPhone. 

Sonos Voice Control is narrower, but it performs music and system commands locally without sending voice data outside the home. That is not as dazzling as asking an AI to reorganize your life, but some consumers may prefer a speaker that knows less about them and reliably plays the correct album. 

OpenAI’s potential advantage is the combination of stronger conversational reasoning, visual understanding, long-term memory and agentic behavior.

The reported device may not merely wait for “turn on the lights.” It could understand a request such as, “The room is getting dark and I am starting a movie,” then lower the lights, close compatible shades, adjust the temperature and switch the television system to the correct input.

A camera could allow someone to hold up an unfamiliar cable, medication bottle, appliance component or piece of audio equipment and ask what it is. It might help troubleshoot why a television has no sound by examining the connected hardware. It could remember which family member prefers which music, when the dog was last fed or where someone left an object.

That contextual awareness is the feature most likely to separate it from a conventional smart speaker.

It is also the feature most likely to make people unplug it before Thanksgiving dinner.

AI Is Already Inside Your Headphones

The broader concept is not new. Artificial intelligence and machine learning have already become important parts of headphones, earbuds and hearing products.

Manufacturers have long used machine learning for adaptive noise cancellation, beamforming, voice isolation, personalized hearing tests and automatic transparency modes. Those systems generally analyze audio locally and adjust the hardware without attempting to become your confidant.

Generative AI has pushed headphones further.

Google’s Pixel Buds Pro 2 were designed around Gemini access, allowing users to conduct hands-free conversations with the assistant through a connected phone. Google’s Live Translate system can also provide real-time spoken translation through compatible headphones. 

Apple Intelligence powers Live Translation through AirPods Pro 3, AirPods 4 with ANC and AirPods Max 2 when paired with a compatible iPhone. Apple also uses computational processing for Adaptive Audio, Conversation Awareness, Voice Isolation and environmental response. 

Meta’s AI glasses may represent the closest current comparison to OpenAI’s reported device. They combine cameras, microphones, open-ear speakers and an AI assistant capable of answering questions about what the wearer is seeing. Unlike a home speaker, however, Meta’s glasses travel into public spaces, where everyone else gets to participate in the privacy experiment whether they volunteered or not. 

The OpenAI speaker appears to take those same ingredients and place them inside the home.

Big Brother Is Listening, but Is He Recording?

Smart speakers have always created privacy concerns because their microphones must remain active enough to detect a wake word.

That does not automatically mean every conversation is uploaded or stored. Conventional smart speakers generally perform wake-word detection locally and begin transmitting audio only after activation. False activations, retention policies and human review programs have nevertheless damaged consumer trust over the years.

OpenAI has not disclosed how its hardware will handle wake words, local processing, camera data, stored memories or active listening. Until it does, nobody can honestly claim that the device will be either invasive or private.

Current ChatGPT Voice policies provide some indication of OpenAI’s approach, but they cannot be assumed to apply unchanged to future hardware. OpenAI says standard voice audio is deleted after transcription unless the user chooses to share recordings. Audio and video clips are not used for model training unless the user opts in, although transcripts may be used when the “Improve the model for everyone” setting is enabled. 

A home device raises additional questions that an app does not.

Will its camera remain active between requests? Will visual analysis occur locally or in the cloud? Will it recognize individual household members? Can visitors disable it? Will parents be able to prevent children from forming persistent personal histories with the assistant? Can stored memories be inspected, corrected and permanently deleted?

There should be a physical microphone switch and a genuine mechanical camera shutter, not merely an icon that promises the software has stopped watching. Clear lights or audible signals should indicate when audio or video is being processed.

Anything less deserves suspicion.

Learning From You Could Be Useful and Uncomfortable

Personalization is central to OpenAI’s likely strategy.

A genuinely useful assistant must know which services you use, what devices you own, who lives in the house, what music you prefer and which requests require confirmation. It becomes more effective as it accumulates context.

That same context could create an extraordinarily detailed map of a household.

A camera-equipped assistant could potentially know when people arrive, which rooms they occupy, what objects they use and how they interact. Combined with calendars, messages, purchase history, music preferences and smart home activity, it might understand daily routines better than some family members do.

That information could improve accessibility, elder care, reminders and home automation. It could also become extremely valuable to hackers, litigants, insurers, advertisers or anyone who gains unauthorized account access.

The product’s commercial model matters. Powerful cloud-based AI is expensive to operate. OpenAI has not disclosed whether the speaker will require a ChatGPT subscription, include a separate monthly plan or offer reduced functionality without one.

Consumers should also ask what happens if the subscription ends or the company discontinues the service.

The Humane AI Pin provides a useful warning. Humane shut down its cloud-dependent wearable after selling parts of the company to HP, leaving the AI Pin unable to perform most of its intended functions. A sophisticated connected device can become an expensive paperweight when its servers disappear. 

The Problem With an AI That Can Act

Answering a question incorrectly is irritating.

Taking an incorrect action is potentially dangerous.

A conversational AI controlling locks, appliances, purchases, messages and home security requires stricter safeguards than a chatbot generating a restaurant recommendation. Commands involving money, safety, identity or access should require confirmation and, in some cases, authentication from a phone or wearable.

The device must also understand which person is speaking. A child, visitor or television commercial should not be able to unlock a door, order $700 worth of Pokémon cards or send your employer a message explaining that you have chosen to pursue your true calling in artisanal cheese.

Hallucinations remain another concern. GPT-Live may sound natural and confident, but fluency is not the same as reliability. A voice assistant that speaks smoothly can make incorrect information feel more trustworthy because users do not see citations, uncertainty indicators or alternative answers on a screen.

A screenless interface removes visual clutter. It also removes the easiest method of reviewing what the AI thinks it heard before allowing it to act.

Why Does It Need to Move?

The mechanical movement may be functional. A rotating camera could follow the user, improve room coverage or direct microphones and speakers toward the person speaking.

It may also be intended to create personality.

Humans instinctively respond to movement, eye contact, voices and gestures. A device that turns toward someone, pauses at the right moment and remembers personal details will feel more socially present than a stationary speaker.

That could make it easier and more enjoyable to use. It could also encourage emotional attachment, particularly among children, isolated adults and elderly users.

OpenAI will need to decide whether it is building a tool or a relationship, and parents may have strong feelings about that distinction. Then again, we have already surrendered an entire generation to smartphones, social media and algorithms before breakfast. June and Ward Cleaver would probably have been removed by Child Protective Services in 2026 for allowing Wally and the Beaver to roam the neighborhood unsupervised without location tracking.

A tool should make its limitations clear. A companion is designed to make people forget them.

The Apple Lawsuit Could Complicate Everything

The report arrived only days after Apple sued OpenAI, io Products and former Apple employees Tang Tan and Chang Liu for alleged trade-secret misappropriation.

Apple claims former employees accessed confidential hardware files, engineering specifications, supplier information and unreleased product details after leaving the company. It also alleges that OpenAI recruits were encouraged to bring confidential materials and physical parts to interviews. These are Apple’s allegations and have not been proven in court. OpenAI says it has no interest in other companies’ trade secrets and is not aware of evidence supporting the complaint. 

Apple is seeking damages and preliminary and permanent injunctions preventing OpenAI and the other defendants from possessing or using Apple’s trade secrets. It also wants relevant material returned and evidence preserved. 

The lawsuit does not automatically block OpenAI from releasing hardware. A court would have to determine whether protected information was taken, used and connected to the products under development.

It does create risk. An injunction, discovery dispute or required redesign could delay the reported 2027 release. The case may also expose details about OpenAI’s hardware program long before Jony Ive is ready to reveal it from a perfectly lit room containing one chair and no visible cables.

The Bottom Line

OpenAI’s reported speaker could become the first smart home product to place a genuinely capable conversational AI at the center of everyday life.

Its potential advantages are substantial: natural dialogue, visual understanding, long-term context, portability and the ability to perform multi-step tasks across services. For users with disabilities, mobility limitations or complicated smart homes, a well-designed ambient assistant could be transformative.

The difficult questions are equally substantial. OpenAI must explain what the device sees, when it listens, what it remembers, where the information is processed and how much control users retain. It must create safeguards for purchases, messages, locks and other consequential actions. It also needs to prove that the product offers something a smartphone, pair of earbuds or existing smart speaker cannot already provide.

And because eCoustics readers will ask the question that most technology publications will forget, OpenAI must tell us whether the speaker can actually reproduce music without sounding like a Bluetooth-enabled soup can.

A more intelligent smart speaker could be useful.

A camera-equipped AI companion that learns the household, turns when summoned and depends on a permanent cloud connection could become the most articulate surveillance appliance ever placed on a kitchen counter. The future may not arrive wearing jackboots. It may speak softly, remember everything and ask whether we would like to renew our subscription.

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Spotify is expanding its Managed Accounts feature to users on its free, ad-supported tier, giving families a better way to separate children’s listening habits from their own alongside new parental controls and personalised recommendations for younger users.

Previously available only in certain premium family plans, Managed Accounts are designed to give children their own music-focused Spotify experience.

One of the biggest benefits is that parents will no longer have their own recommendations and annual Spotify Wrapped dominated by nursery rhymes, cartoon soundtracks or the same children’s songs played on repeat. Instead, young listeners will build their own listening history, receive personalised music recommendations, and even get their own Spotify Wrapped at the end of each year.

The child-friendly accounts are limited to music and include several safety features by default. Parents and guardians can choose to filter explicit content and block specific songs or artists if needed. Spotify has also disabled video content and Canvas looping animations by default, keeping the experience focused on music.

James Bruton has fabricated many rideable machines over the years. This one began with a simple question: could ordinary elastic bands, the thick variety offered for exercising, store enough energy to propel a full-size cart carrying a person? The solution emerged after weeks of testing, gear ratios, special plates, and meticulous winding. The final contraption rolled approximately ten meters using nothing but twisted resistance bands.

He started with a 50-millimeter resistance band suspended from a sturdy frame made of high-grade aluminum extrusion. One end was held in place, while the other was attached to a shaft that rotated on bearings from inexpensive lazy Susans. Bruton wound the band by repeatedly twisting it in his palm until it was completely knotted up. When he let go, the unwinding band turned the shaft around. Early versions, without wheels or gearing, could only travel approximately 2 meters, even with a 2-to-1 bevel gear set. Despite having excellent connection sites, the band consistently snapped or became slack in the middle.

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Clearly, they needed to boost torque, so he added another stage of gearing, resulting in a 6-to-1 reduction. The extra leverage allowed him to coil the band up a little further without it breaking, resulting in around 2.8 meters of travel this time. That was a nice sign, but it was clear that a single band could never carry anyone very far. Attempting to use a longer band produced its own set of problems, as the longer it became, the less efficient it became, and the twist became uneven, causing the band to bounce around rather than generate nice crisp torque.

The aim was to use a series of shorter bands that worked together to increase the energy without making the whole thing overly large. Bruton devised the concept of routing the bands through additional gears, allowing them to flow back and forth inside the frame like a folded ribbon. Three columns of bands, each with six bands, totaled 18. Bevel gears at either end allow the columns to transfer their torque to a single common axle. Some unique aluminum plates were carved out using a CNC router to combine the extrusion into a beautiful solid box. A couple of vertical rails at either end ran six lazy Susan bearings each, allowing the winding shafts to spin freely.

Testing is now moved outside, where Bruton winds the bands by driving the cart in reverse, allowing the wheels and gears to accomplish the hard twisting rather than raw effort. He’s taking it carefully at this point, aiming for a clean run of around 9.88 meters. That is the maximum distance the cart can travel before the front wheels lift up and prevent it from moving any farther. If he winds it up a little more, a little more “aggressive,” it adds a little more distance because of the velocity, but it also causes a problem where some of the bands are twisted a lot more than the others due to small little changes in friction in the gear box. Bands that are wound up later in the sequence frequently underperform.

Bruton is already brainstorming about where to go next. If he winds the bands one at a time instead of all at once, he may be able to extend the power delivery and smooth out the acceleration. Alternatively, a clutch system might be an excellent option, as each stage can only begin working after the one before it has almost completely run out of gas. So far, the build has demonstrated that the main concept is viable at human scale.

Emergent’s vibe coding platform hit a $1.5bn valuation a year after launch. Its founder says most businesses do not need software, they need a way to turn how they work into it.

“Most businesses don’t need any software. They need a way to turn how they actually work into software.” That is how Mukund Jha pitched his startup as he announced it had become a $1.5bn unicorn.

Emergent, the vibe coding platform Jha runs with his twin brother Madhav, has raised a $130m Series C. The round values it at $1.5bn, about five times its valuation in January. That makes Emergent a unicorn roughly a year after its 2025 launch.

Creaegis, a private equity firm, led the round. Claypond Capital and Sentinel Global co-led. Earlier backers Khosla Ventures, SoftBank’s Vision Fund 2, Lightspeed, and Y Combinator returned. Total funding now reaches $230m.

An engineering team in a box

Emergent lets people build full software by typing plain-language prompts. Autonomous AI agents write the code, then handle hosting, testing, and deployment. Jha says 70% of its users have never coded.

“You’re basically getting an engineering team in a box,” he told TechCrunch. The company says more than 12 million apps have been built on the platform in a year. Jha puts annual revenue at a $120m run-rate, with 200,000 paying customers.

These are not just websites. Users build CRMs, inventory systems, and marketplaces. Jha points to an Ohio roofer who replaced five tools with one system, and a Florida car detailer who rebuilt his site in four days. Software that once cost six figures, he says, now costs a few thousand dollars.

A crowded, expensive race

Emergent is chasing the same wave as some of the most richly valued startups in tech. Lovable is reportedly seeking a $13.2bn valuation. Anysphere’s Cursor was bought by SpaceX for $60bn in June. That boom has also flooded app stores with a surge of AI-built apps.

Against those numbers, $1.5bn looks modest. Emergent’s bet is a different customer. It targets small businesses and solo founders, not the professional developers who lean on Replit and Cursor. Jha calls Replit his closest rival.

He is candid about the limits. He admits design is a weakness, noting that many AI-built sites look alike. Success rates, he says, are still lower than he wants them to be.

What Emergent does with the money

Most of the cash will go to hiring and research. Emergent wants to lift its success rates and support more complex apps, including ones that run on open-source models. It is weighing a European office and expanding in San Francisco.

Jha’s ambition is bigger than an app builder. He wants Emergent to become “the operating system for businesses,” and is putting $200,000 into two builder contests to draw more people in. If software itself gets solved, he told Business Insider, builders will simply move on to harder problems, from quantum computing to drug discovery.