Avtar spent decades wondering what happened to the mother he never got to know. Thousands of miles away, Nicci was haunted by the story of a half-brother given away before she was born. How did a chatbot bring them together?
As a small boy growing up in Amritsar, India, in the 1960s, Avtar Singh used to hear whispers. Your mum isn’t really your mum, the rumours would say. Your mum lives abroad. Avtar didn’t really pay any attention to it. “I thought, the neighbours are just making up stories.” But the stories were true: the woman raising Avtar was actually his grandmother. When he was too young to remember it, his father had emigrated to Canada to work as a teacher, leaving Avtar in the care of his paternal grandparents. His grandfather, a police officer, was a fearsome authoritarian, but his grandmother brought him up with tenderness, as if he were her own son. She called him by his nickname, Titu. He felt loved.
When Avtar was around eight years old, he was told about his family in Canada: his dad, his mum and a little brother were waiting for him there, and he would soon travel to join them. Just after his ninth birthday, Avtar found himself sitting on a plane, dressed in a three‑piece suit and tie. He was travelling alone. He had never flown before. He didn’t speak a word of English. He landed in Halifax, Nova Scotia, on Christmas Eve, 1968; his family met him at the airport and took him home. “I didn’t know what to think,” Avtar, now 66, tells me in a video call from his home in Abbotsford, British Columbia. “Before I knew it, it was the first week of January, and I was put in school.”
The Health in ChatGPT feature that integrates medical records and Apple Health data is rolling out to ChatGPT users in the United States as of today.
OpenAI announced plans for a health feature that used data from Apple Health and other sources back in January, but it was in beta and was not made widely available.
Health in ChatGPT can draw on health information connected by the user to compare lab test data, summarize changes since a prior appointment, track medications, and explore how sleep, activity, and workouts impact health.
With your permission, ChatGPT can consider relevant information you have connected, such as medications, lab results, recent visits, sleep, and activity, alongside the goals and context you share. This added context can make everyday conversations more useful. For example, ChatGPT can consider a dietary restriction when helping you choose a restaurant, or a recent injury when planning lower-impact weekend activities with your family. You can ask follow-up questions, add context, or correct information that is incomplete or out of date.
OpenAI says the feature is meant to help users understand their health information in context and keep track of what's changed over time. Users can get to the Health section from the ChatGPT sidebar.
Connected medical records and Apple Health information are not used to train OpenAI's models or target ads, nor are conversations that use health data. ChatGPT will ask for permission before using connected medical records and Apple Health information to personalize a response.
For users who would prefer not to connect health records, the Health section in ChatGPT works without them and can answer health-related questions.
Health is rolling out to logged-in ChatGPT users who are 18 years and older in the U.S. on web and iOS. The feature is available to Free, Go, Plus, and Pro plans.
Scientists from the Salk Institute have determined that brain waves in the visual cortex serve as a computational engine, allowing the brain to construct internal representations of the external world that enhance prediction, reconstruction, and perception capabilities.
While the scientists behind the new study focused their work on the visual cortex, they suspect that similar brain waves washing over other areas of the brain’s surface likely serve a similar role for other sensory systems.
Unraveling the Role of Traveling Brain Waves in the Visual Cortex
The human brain uses electricity to communicate between synapses. Research has shown that this electrical activity can travel in waves across the brain’s surface. Called neural traveling waves, the phenomenon’s role in brain function and consciousness is not completely understood.
Previous studies have established that traveling brain waves play a significant role in behavior and attention. In 2020, Salk neuroscientist John Reynolds, PhD, successfully identified traveling brain waves in the visual systems of animals during a wakeful state.
According to a statement from Reynolds, the senior and co-corresponding author on the new paper, and colleagues, the 2020 research effort also found a direct correlation between traveling brain waves in the visual cortex and an animal’s ability to perceive objects directly in front of them. The authors suggest this discovery explained the “classic conundrum” of searching for something like a pair of keys or a phone that was right in front of you the whole time.
Although the connection between traveling brain waves and an awake animal’s ability to perceive objects seemed solid, Reynolds said he was left wondering why.
Process is Analogous to LLM’s Like ChatGPT
In their newly proposed theory, Reynolds and colleagues suggest that traveling brain waves are not simply “electrical noise” resulting from the brain’s normal relaying of signals. Instead, the Salk Institute team proposes that the neural connections responsible for the generation of traveling brain waves change their physiological structure, or “synaptic weights,” to more accurately reflect the outside world.
“Each sight, smell, sound, and action of an animal alters the connections that generate these waves, building the neural circuitry that the brain uses to construct an internal representation of the external world,” the team’s statement explains.
In the visual cortex, the part of the brain responsible for receiving and processing visual information, the team proposed that traveling brain waves perform four distinct functions. These include modulating visual perception from moment to moment and turning recent visual sensory inputs into “internal representations” of objects, people, and surroundings.
The team proposes that traveling brain waves also help humans generate short-term predictions about their surroundings, and “store and replay patterns that represent memories of events unfolding in time.” Reynolds said the process laid out by his team is analogous to how ChatGPT and other LLMs translate and interpret data.
“They learn statistical structure from language and use that knowledge to generate meaningful and appropriately structured text that reflects the patterns of language,” the researcher explained. “The brain may be doing something functionally similar—a biological generative model built from the ground up by experience.”
“One Step Closer” to Understanding How Our Brains Compute the World
When detailing the potential impact of their proposed role for traveling brain waves in the visual cortex, the team highlights the contrast between a rich and complex world and its general predictability.
“Objects around you exist in 3D space, you see the world in retinal images that change with your eye and body movements, and the laws of physics and physiology overlay this all,” they explain.
Reynold’s team says that traveling brain waves are merely the brain’s way of internalizing these predictable “regularities” and encoding them in its synapse network. If correct, they said that this encoding would allow the brain to “infer the likely causes of sensory input and construct an internal model of the world.”
“This framing brings us one step closer to understanding how our brains compute the busy, messy world around us, turning a complicated sensory onslaught into behaviors and experiences,” they conclude.
Christopher Plain is a Science Fiction and Fantasy novelist and has spent the last six years as Associate News Editor and Head Science Writer at The Debrief. Follow and connect with him on X, learn about his books at plainfiction.com, or email him at christopher@thedebrief.org
I can’t blame my patients for turning to its straightforward assessments. But it has real risks – and care may require human messiness
“Chat told me I should break up with him.”
I instructed my face to remain therapist-neutral, but I must have smirked. The truth is, I was annoyed. We had been discussing the viability of this relationship for weeks, and in an instant AI had brought the answer. “How do you feel about it?” She said this had been her gut feeling all along. The following session, her relationship was over.
Graças a essa versatilidade, o novo modo de voz pode fazer bem mais que apenas conversar. Além de poder ser usado em chats, ele também está integrado ao Work e ao Codex — o que significa que você pode usá-lo para coordenar e acompanhar tarefas, sem usar texto.
ChatGPT Voice is now in the desktop app.
Control your computer and direct multiple agents running in ChatGPT Work or Codex, using just your voice.
It's powered by GPT-Live, so it can speak, listen, and coordinate work in the app at the same time.
Para usar a novidade, é necessário abrir um novo chat ou uma nova tarefa vazia no app e selecionar a opção “Iniciar nova conversa por voz”. As conversas ou tarefas precisam necessariamente ser iniciadas nesse modo — caso contrário, apenas o ditado por voz estará disponível.
O ChatGPT Voice oferece suporte a uma alternância natural entre as falas. Você pode interromper o ChatGPT durante uma resposta, fazer uma pergunta complementar ou mudar de direção. Se o ChatGPT começar a executar uma tarefa, continue falando para verificar o progresso ou orientar o trabalho.
Além disso, a OpenAI destaca que é possível iniciar conversas separadas para conversas mais longas, enviar ao app uma screenshot para apresentar o contexto do que está na tela, bem como usar o recurso pelo Remote do iOS com o iPhone emparelhado ao computador.
O ChatGPT Voice no desktop está sendo disponibilizado gradualmente para os planos Plus, Pro, Business, Edu e Enterprise. Nos dois últimos, há um período inicial de duas semanas com acesso antecipado antes de o recurso ser ativado por padrão.
É possível baixar o novo app do ChatGPT para macOS nessa página.
The iPhone maker alleges that this misconduct, which it says reveals a pattern of theft from OpenAI employees who previously worked at Apple, was directed by OpenAI’s senior leadership, including Chief Hardware OfficerTang Tan.
The lawsuit, which was filed in the U.S. District Court for the Northern District of California, accuses Tan of using Apple’s confidential project code names during OpenAI’s recruiting process, asking job candidates to bring in Apple hardware components to their interviews, coaching departing Apple employees on how to evade the company’s security procedures, and asking for details about the company’s unannounced products.
Apple’s allegations are detailed and shocking, and it sounds like they have a lot of evidence.
The lawsuit names Chang Liu and Tang Tan as two of the defendants. Tang Tan served as VP of product design at Apple, leading iPhone and Apple Watch product design. He departed the company in February 2024 to work with Jony Ive. Chang Liu, meanwhile, worked at Apple for eight years and was a senior system electrical engineer before departing to join OpenAI in January 2026.
Apple’s lawsuit also names OpenAI and io Products as defendants.
OpenAI’s hardware efforts are being led by Jony Ive, Apple’s former chief design officer.
[…]
Ive, Hankey, and Cannon are not personally mentioned anywhere in Apple’s initial filing today.
OpenAI’s Director of Strategic Communications, Drew Pusateri, took to X to comment on the company’s behalf.
In his post, he claims OpenAI has “no interest in other companies’ trade secrets,” adding that OpenAI remains “focused on building innovative technology that empowers people everywhere.”
This seems like a weak response, given that Apple says it reported its findings to OpenAI in February and never heard back. Presumably, they’ve already investigated but see the situation as serious enough that they need to say as little as possible.
It’s not clear to me the extent to which Apple believes the behavior was limited to the named defendants. It’s hard to believe that the rest of OpenAI’s leadership—including Altman and Ive—were unaware, given the scale of their recruiting from Apple. It’s equally hard to believe that they were aware and thought they could get away with it. I guess little from Altman would surprise me at this point. I’d like to believe that Ive wasn’t part of it, but then are we to believe that his former coworkers all kept him in the dark?
What is immediately notable about this whole thing is the myriad conflicts of interest. Apple, of course, has a current partnership with OpenAI to power Apple Intelligence features, something repeatedly mentioned on the previous version of its marketing webpage, and conspicuously absent on the current one.
But the history runs far deeper. Among the defendants in the suit is io Products — do not blame me for that capitalization choice — founded by Jony Ive and acquired by OpenAI last May. Total mentions of “Ive” in the body of this lawsuit? Zero. Also, one of the investors in Ive’s company was Emerson Collective, founded by Laurene Powell Jobs, and which now has equity in OpenAI. Neither Emerson nor Powell Jobs are defendants.
It all reads a bit as if Apple has been building up evidence of these allegations for some time and recently got their smoking gun. It’s not just nebulous “trade secrets” either, there are specific mentions down to “metal finishing techniques” that Apple apparently invented and protected.
It also comes a little less than a month after OpenAI was rumored to be threatening Apple with a lawsuit over the perceived failure of their deal to bake ChatGPT into the iPhone. As I wrote at the time, even just that threat was clearly not going to go over well in Cupertino.
Apple and OpenAI have a commercial relationship involving the
integration of OpenAI’s ChatGPT into Apple Intelligence. The
companies have entered into a written agreement governing that
integration. That agreement is not at issue here. OpenAI’s acts of
trade secret misappropriation alleged herein do not arise from and
have no connection to that agreement.
Be that as it may legally speaking, in practical terms it seems untenable for that Apple Intelligence partnership to continue after this.
Namely, while Apple frames OpenAI – or at least its fledgling hardware division – as “rotten to its core” (interesting terminology!), they really only have a case against two and maybe three individuals. But they also clearly believe that if this case goes to trial, they will have a case against a lot more.
[…]
The parallels to the Anthony Levandowski situation after he left Google for Uber have been drawn.
[…]
It is interesting that Apple is not suing Yu-Ting “Alyssa” Peng, who is named in the suit as a co-conspirator with Liu while she was still employed at Apple, before she also subsequently went to work at OpenAI. Is it possible she’s cooperating or has cooperated with Apple in this investigation?
[…]
Even if these allegations are found to be untrue or embellished, can he reasonably stay at OpenAI now? And perhaps that’s the real outcome Apple is looking for here, as they clearly frame him as the ringleader of the 400-plus people who have come over to OpenAI from Apple.
OpenAI’s ambitions to build a hardware rival to the iPhone are already running into trouble because of Apple’s trade secret lawsuit, according to Bloomberg’s Mark Gurman, who argues the damage is showing up well before any court ruling.
[…]
The scale of the talent drain is a major part of why this matters to Apple. More than 400 former Apple employees now work at OpenAI, including former Apple design chief Jony Ive, and Gurman says the company poached so heavily from Apple’s iPhone product design group specifically that Apple had to rebuild parts of the team. Apple has responded with bigger retention bonuses and executives personally working to keep engineers from leaving.
I can’t believe this awful company solicited confidential information and stolen trade secrets, hiring from this other company while pretending to partner with them. ‘Rotten to the core’ indeed
Apple has reportedly sent legal letters to dozens of former Apple employees now working at OpenAI, telling them to preserve potentially relevant documents and communications as it continues to pursue its trade secret lawsuit against the AI company.
When ChatGPT is attached to an open document in another app, it’s not a snapshot at the moment of attachment, like what you’d get by copying and pasting the whole thing into the chat, or by dragging the current version of the file into the chat. It’s a live ongoing attachment, so as the attached document/note changes, ChatGPT sees the changes. It’s such a great feature, and I don’t think it exists on any platform but the Mac. And it couldn’t exist on iOS, by design, doesn’t allow for inter-application communication.
OpenAI today announced ChatGPT Work, a ChatGPT agent with built-in Codex that can complete tasks across web, mobile, and desktop using information from your apps. ChatGPT Work can execute multi-step tasks, using scheduling to work independently. Like Claude Cowork, ChatGPT can use your computer to do tasks in the background across apps.
[…]
With OpenAI merging Codex and ChatGPT, there is a new ChatGPT desktop app that’s available across Mac and Windows. Users who have the Codex app installed can update it to turn it into the new ChatGPT desktop app. The existing ChatGPT desktop app is being renamed ChatGPT Classic.
You can watch today’s livestream announcement video below[…]
[…]
It’s possible to have ChatGPT Classic, ChatGPT, and Codex installed, but the way forward seems to be just running the new ChatGPT desktop app. Codex users can still use the Codex app icon, but the app will be called ChatGPT.
The ChatGPT Classic app looks more native Mac-like, so that might be an issue for users.
LOL @ OpenAI replacing the native AppKit ChatGPT app with the Electron Codex app after @gruber’s recent posts on the topic 😂
(It’s almost like Apple doesn’t have clear messaging on the right way to build native desktop apps anymore, and, if Apple doesn’t know, why on earth would third-party developers make that investment)
The rollout of the unified ChatGPT for Mac app really isn’t going well on X/Reddit 🥶
They kinda fumbled it and I think Anthropic did a slightly better job on first try. Even OpenAI’s existing iOS app makes more sense than their new Mac layout right now.
The difference between “normal” chatbot chats, Work/Cowork harnesses with connectors, and Code/Codex local threads and filesystem access is the new UX hell for these companies.
The chat experience is ChatGPT. Now it’s squirreled away in a sub section of a sub pane inside a vastly more-complex app. It’s hard to imagine anybody who actually wants to use ChatGPT wants to use it this way, Electron or not. And as a Codex user, I resent having my Codex deleted and renamed ‘ChatGPT’ instead. I don’t want my ‘chats’ anywhere near my ‘work’. This feels like a stupid move that will decimate casual ChatGPT desktop usage
Oh yeah, the new ChatGPT app is as bad as first impressions made it out to be. It’s not just a slow, RAM hungry shell of a thing, but the design and UX are a poorly thought out kitchen sink approach.
Codex has never been great, but this is a confusing mess.
Wow, what a total mess. What is the difference between a project, a task and a chat? Why did chats get a crappy floating window but tasks and projects don’t? Why does choosing ‘plugins’ get me ‘templates’? Am I not allowed to finish ‘setup’ if I don’t use Slack or Google Drive? Why…
The old ChatGPT app was focused. That’s the app that still ships for mobile (which includes iPad, which tells you whether OpenAI thinks iPad is a real computer or a big iPhone), and is, for some Mac users, left installed on their systems as “ChatGPT Classic”. The new app is an incredibly confusing sloppy mess. At a glance it looks like a polished app. But the UI is just slop. It has the veneer of a polished app without actually being organized or structured or labeled in ways that add clarity and coherence.
So I don’t see “the prompt in the app to download the new ChatGPT desktop app”. If I download the new app manually, I get a disk image. After mounting the disk image, the instructions say to double-click the “ChatGPT” app on the disk image — not to drag it to the Applications folder. If I do that while the old ChatGPT app is still running, it bounces back and forth a few times but nothing new gets installed and nothing old gets removed or renamed. I’m just left with the classic ChatGPT app, still named “ChatGPT”.
If I run the installer on the disk image when the old ChatGPT app is not running, the old app gets replaced by the new one in my Applications folder, and the old app is moved to the Trash. There is no app named “ChatGPT Classic”.
I mean, their Help document does say “the new app may install alongside your current app”, and “if both remained installed”, so they seem just as confused as I am.
And as much as I’ve been focusing more of my attention on Anthropic’s Claude because of concerns I have about OpenAI and its management, ChatGPT has more active users (~1.1 billion) than Google’s Gemini (~900 million), and many more than Claude (~245 million, in part because it’s more focused on enterprise uses).
As such, it’s worth noting three recent changes with ChatGPT: a massively confusing app replacement, the end of the ChatGPT Atlas Web browser, and improvements to ChatGPT Voice.
Let’s give OpenAI some credit, once they realize they made a mistake, they act quickly to correct it. Today’s case in point: with an update, ChatGPT now features ChatGPT once again. No, that’s not a joke, and yes, it does speak to a very obvious self-own.
Bringing back “chat” to ChatGPT is literally the least they needed to do. Hiding chat in an obscure corner of the interface from an app named “ChatGPT” would be like removing text editing from TextEdit.
With the new ChatGPT desktop app, OpenAI now has a desktop app with robust browser capabilities. ChatGPT (and Codex before it) also supports a Chrome desktop browser plugin. This lets Chrome users benefit from ChatGPT integration without completely switching browsers.
Anthropic and OpenAI have legacy software media in the blender because they are playing a new game. They are legitimately racing to build God. The products they release are one-off fundraising vehicles to buoy the next training run. They are not trying to build long-term consumer goodwill.
Apple has intensified its high-stakes legal fight against OpenAI by sending formal preservation letters to approximately 40 former employees who now work at the AI company, according to reports from the Financial Times and corroborated by tech outlets.
The move comes just one week after Apple filed a lawsuit against OpenAI (and its hardware-focused entity, io Products), along with two named former Apple executives: Tang Tan (OpenAI’s Chief Hardware Officer) and Chang Liu (a senior hardware team member). In the complaint, Apple accuses OpenAI of orchestrating a coordinated effort to poach talent and misappropriate confidential information related to hardware engineering, product development, manufacturing processes, and other proprietary designs.
Preservation Letters: What They Mean
These letters are not lawsuits themselves, but formal legal notices requiring recipients to preserve all potentially relevant documents, communications, emails, files, and other evidence. They serve as an early step in litigation to prevent the destruction or alteration of materials that could be critical to the case. Apple appears to believe the alleged misconduct extends beyond the individuals explicitly named in the original filing, viewing the evidence uncovered so far as potentially just the “tip of the iceberg.”
Apple’s lawsuit highlights that more than 400 former Apple employees have joined OpenAI. While hiring talent from competitors is common in Silicon Valley (especially in California, where non-compete agreements are limited), Apple alleges specific breaches involving the theft of trade secrets, violation of employment contracts, and improper use of proprietary information to accelerate OpenAI’s hardware ambitions, particularly its reported AI device development.
Background on the Dispute
• Key Defendants: OpenAI, io Products, Tang Tan (24-year Apple veteran who led product design), and Chang Liu (former senior system electrical engineer).
• Apple’s Demands: An injunction to stop OpenAI from using any Apple-derived information, plus monetary damages.
• OpenAI’s Response: The company has denied the allegations, stating it is “not aware of any evidence that this complaint has merit.”
The escalation underscores growing tensions between the two tech giants. Apple, a leader in consumer hardware, is protective of its tightly controlled supply chain and engineering secrets, while OpenAI is pushing aggressively into hardware to leverage its chatbot.
This development is likely to fuel further scrutiny of talent poaching in the AI sector, where companies compete fiercely for top engineers. Legal experts note that preservation letters are standard in complex intellectual property cases and signal Apple’s intention to build a broader case through discovery.
As the lawsuit progresses, both sides will be watching closely, especially as OpenAI continues its hardware timeline reportedly unchanged despite the legal pressure. The case could set important precedents regarding employee mobility, trade secret protection, and the blurry lines between accumulated expertise and stolen proprietary information in the fast-moving tech industry.
MacDailyNews Take: OpenAI, the company behind ChatGPT, the AI for newbies who don’t know better alternatives exist, seems to be filled with traitors.
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OpenAI, the company behind ChatGPT, the AI for newbies who don’t know better alternatives exist, is stepping into consumer hardware with its first device: a movable, screen-free smart speaker designed as an always-on AI companion for the home. According to a Bloomberg News report, the product — still in development — aims to control smart-home devices, play media, answer questions, handle messages, and leverage ChatGPT’s capabilities.
This sounds innovative on paper, especially with the promise of a more “humanlike” AI presence. But let’s be clear: Amazon, Google, and Apple pioneered this category years ago. OpenAI isn’t breaking new ground here — it’s trying to catch up to a market these giants have dominated for nearly a decade.
Apple’s HomePod mini
The Smart Speaker Revolution Started Long Before ChatGPT
Amazon lit the fuse in 2014 with the original Echo and Alexa. What began as a cylindrical speaker that could play music, set timers, and answer basic questions quickly evolved into a full ecosystem. Echo devices now control lights, thermostats, door locks, and more — exactly the smart-home hub role OpenAI envisions. Amazon iterated relentlessly with cheaper Dots, portable versions, and premium models, shipping hundreds of millions of units and embedding Alexa into countless third-party devices.
Google followed in 2016 with Google Home (later Nest Audio and similar), emphasizing superior search integration and natural language understanding powered by its vast data resources. These speakers became central to many households for information, entertainment, and automation. Apple entered the fray in 2018 with the HomePod, focusing on premium audio quality and tight integration with its ecosystem, later adding the more affordable HomePod mini.
By the time OpenAI is targeting a potential 2027 launch for its device, smart speakers will have been mainstream for over a dozen years. The core features OpenAI highlights — voice interaction, media playback, smart-home control, and AI assistance — are table stakes that consumers already expect.
What’s New (or Not So New) with OpenAI’s Approach?
The Bloomberg News description by Mark Gurman positions OpenAI’s speaker as a “new type of home computer for the AI era,” movable and screen-free for ambient use.
Earlier reports suggest possible camera integration for environmental awareness, object recognition, and even facial recognition for purchases — features that echo (pun intended) what existing devices already offer or are evolving toward. Many current smart speakers and displays already include cameras, microphones that listen continuously (with privacy toggles), and advanced AI for proactive suggestions.
OpenAI’s edge is presumably its cutting-edge language models, potentially enabling more conversational, context-aware interactions than today’s assistants. Yet even here, competitors aren’t standing still: Google has integrated Gemini, Amazon continues enhancing Alexa with generative AI, and Apple is finally significantly deepening Siri with on-device intelligence in its ecosystem.
Privacy Concerns Loom Large, Especially Versus Apple
One area where OpenAI’s entry raises fresh questions is privacy. An always-listening, camera-equipped AI companion that processes conversations, surroundings, and potentially personal interactions could amass intimate data about users’ daily lives. OpenAI has faced broader scrutiny over how it handles training data and user inputs with its models, and a device that lives in the home would amplify those risks — including potential data sharing, advertising uses, or breaches.
In contrast, Apple has long positioned itself as a privacy leader in the smart speaker space. HomePod devices prioritize on-device processing where possible, use randomized identifiers instead of linking data to user accounts, and offer straightforward controls to delete Siri history. Apple’s ecosystem design generally minimizes cloud transmission and avoids using customer data for ad targeting in the same way its competitors do. OpenAI, as a newer hardware player heavily reliant on cloud-based AI, will need to earn similar trust — something that could prove challenging given the always-on nature of the proposed companion.
Challenges Ahead for the Newcomer
OpenAI enters a crowded, mature market where hardware margins are thin, privacy concerns run high, and user loyalty to existing ecosystems (Amazon for shopping, Google for search, Apple for seamless device handoff) is strong. Building reliable hardware at scale, managing always-listening microphones and potential cameras responsibly, and competing on price (rumored $200–$300 range) won’t be trivial.
History shows that smart speakers succeeded because they solved simple, everyday problems affordably and reliably — not because they promised revolutionary AI companionship. OpenAI’s version may feel more “alive” thanks to advanced models, but it risks being perceived as a me-too product unless it delivers truly standout experiences that justify switching or adding yet another device to the home.
MacDailyNews Take: In the smart speaker space, OpenAI following well-trodden footsteps laid by Amazon, Google, and Apple. The real test will be whether ChatGPT can make the familiar feel fresh enough to stand out — while addressing privacy headwinds that Apple has long navigated more cautiously.
Our prediction is that it won’t.
OpenAI has always been skeevy, from eschewing its open source roots to Sam Altman to desperately overpaying for a washed Jony Ive. Just plain skeevy.
If ever a Skynet would arise, we expect it would spring from the diseased loins of OpenAI. – MacDailyNews, July 13, 2026
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OpenAI has replaced its Mac apps with a confusing 1.45 GB amalgamation, killed its ChatGPT Atlas Web browser after less than a year, and boosted ChatGPT Voice by backing it with more capable models.
DataDome analysis claims agentic traffic has surged by 45% in Q2 2026
Meta AI bots have grown over 163% on the previous quarter
The analysis was conducted by bot management and agent control platform DataDome
If you run a website, every crawl costs bandwidth, resources, logging, and creates CDN transactions, and while search engine crawlers offered the promise of sending visitors, AI bots do not.
Analysis in a report from cybersecurity firm DataDome has shown that while bots from Meta AI have increased activity, they’re not delivering any significant returns to websites.
Conversely, ChatGPT crawlers have reduced in traffic, but are sending more referrals.
AI agent traffic is growing
While Meta AI is usually considered to be the “chatbot within Facebook” it seems that it is becoming something more – and the emergence of the Meta-WebIndexer bot (which grew 163% on Q1) suggests that Meta may be indexing a library of websites, in much the same way Google has done for the past few decades.
The growth of Meta AI as an active crawler is only part of the story, as is ChatGPT’s comparative efficiency. The OpenAI tool seems to know enough about websites, so can provide the answers it already “knows.” Conversely, Meta AI’s activity indexing the web seems to explain its heavy impact in Q2 2026.
But also emerging is the Model Context Protocol (MCP) signal, which connects AI agents with external tools, and differs from standard crawler traffic.
“Q2 showed us that the ground is shifting faster than most organizations realize. Meta now dominates AI traffic on our network, MCP traffic has emerged as a real signal, and ChatGPT is driving more referral value with fewer crawls," noted Jérôme Segura, VP of Threat Research at DataDome.
The differences in the way the AI agents are interacting with websites – some behaving like users, others scraping content – means that organizations need to act accordingly.
“What the data makes clear is that not all agents are created equal. The organizations building policy around these distinctions are the ones gaining an edge, and that's exactly why agent trust adoption is accelerating."
Unfortunately, MCP’s existence and growth into a significant, measurable quantity, means that it should also be treated as part of an organization’s attack surface.
Allocating resources
Given the origins of the report, there is naturally a cybersecurity aspect to this. While ransomware, malware, and phishing are not going anywhere, autonomous software on the web needs addressing in a different way.
Those “organizations building policy” that Segura mentions might, for example, give full crawl access to Google, allow ChatGPT to retrieve results, but rate-limit Meta AI based on its poor return.
Meanwhile, unknown agents – perhaps cybersecurity threats – would require additional verification or be blocked entirely.
Entre as novidades anunciadas pela OpenAI e pela Meta estão mais controlos para os pais, mecanismos de segurança reforçados e ferramentas concebidas para adaptar a experiência aos utilizadores mais jovens.
O esperado primeiro equipamento de inteligência artificial da OpenAI continua envolto de mistério e voltou a ser adiado. A equipa, liderada por Jony Ive, o “pai” do iPhone, está a recrutar elementos para a sua equipa diretamente da Apple.
The partnership, a first of its kind for the artificial intelligence company, will use the prediction market’s data to power some search results about the soccer tournament.