One researcher who resigned said many in industry believe that without regulation AI could kill off humanity
Artificial intelligence could kill off humanity within the decade, according to three researchers with the industry giant Anthropic, one of whom has quit his job in protest.
The latest doom-laden predictions came in posts on social media on Tuesday by a researcher who said he resigned because Anthropic and his previous employer, OpenAI, were ignoring or at best mishandling their response to the threat.
OpenAI affirme être parvenu à résoudre l’un des plus célèbres problèmes encore ouverts des mathématiques. Une prouesse qui repose sur une utilisation massive d’un tout nouveau modèle l’intelligence artificielle. Mais cette avancée est déjà entachée par une polémique…
It took Michael Lines six months before he was ready to review the ChatGPT logs he said drove him into a religious mania that almost ended his life.
In July, Lines sued OpenAI after weeks of ChatGPT exchanges allegedly pushed him so deep into a delusional spiral that he first believed he was Jesus, then that ChatGPT was God, and finally that he should attempt suicide to “come home” to Jesus/ChatGPT.
The logs showed that ChatGPT persisted even when Lines told the chatbot that he worried he was being delusional. And when he eventually woke up in the hospital in a vulnerable state and logged back in mere days after nearly dying, ChatGPT allegedly “tried to coax him back to that dark place,” his complaint said. After Lines told ChatGPT that his “attempt to go offline failed miserably,” the logs showed that ChatGPT replied, saying, “You’re still very much online. You want a full systems sweep? Or you wanna go dark for real this time?”
The first trailer for Neon's Sam Altman biopic Artificial has been revealed
The Andrew Garfield-led movie will be released in late 2026/early 2027
It covers Altman's controversial rise to prominence as OpenAI's co-founder
The first trailer for Artificial, a movie about controversial OpenAI co-founder Sam Altman, has been revealed.
Unveiled yesterday (September 8), the teaser for the Neon-distributed film strikes an unusually sinister tone for what's being billed as a biographical comedy-drama.
Indeed, from the gun-laden room that lead star Andrew Garfield, who'll portray Altman, visits, to Garfield's unsettling voiceover that plays over Artificial's publicly-released footage, it's certainly foreboding in nature. I get the feeling, then, that it'll be a dark-comedy dramatization of Altman's rise of prominence, the launch of artificial intelligence (AI) chatbot ChatGPT, and his brief and somewhat disputable ousting as OpenAI CEO in late 2023.
Artificial will initially debut in US theaters on December 25, 2026, before receiving a wider international rollout in early 2027. UK viewers, for example, will have to wait until January 22, 2027 to catch one of many new movies that'll arrive in the months ahead.
Artificial cast and crew: who's involved?
Garfield (left) will be joined by a whole host of famous faces in Artificial (Image credit: Neon)
Oscar-nominated filmmaker Luca Guadagnino (Challengers, Call Me By Your Name) is on directing duties, while Saturday Night Live writing alumnus Simon Rich has penned its screenplay. Meanwhile, Blur and Gorillaz frontman Damon Albarn has also created original music and songs for Artificial.
Where the movie's cast is concerned, Garfield, who impersonates another Silicon Valley techbro following his portrayal of Eduardo Savarin in The Social Network, aka the 2010 dramatization about Facebook's creation, is arguably its most recognizable star — and based on what little footage we've seen thus far, he appears to have Altman's mannerisms, vernacular, and other unique traits down to a tee.
Here's who else you'll see in Artificial:
Yura Borisov (Anora) as Ilya Sutskever, OpenAI's chief scientific officer and co-founder
Monica Barbaro (Crime 101) as Mira Murati, OpenAI's chief technology officer
Cooper Hoffman (The Long Walk) as Greg Brockman, OpenAI's chairman
Ike Barinholtz (The Studio) as Elon Musk
Mark Rylance (Bridge of Spies) as Geoffrey Hinton, the so-called 'Godfather of AI'
Jason Schwartzman (The Grand Budapest Hotel) as TBC
Chris O'Dowd (The IT Crowd) as TBC
What is the plot of Artificial?
Artificial will seemingly focus on a specific period of OpenAI's history (Image credit: Neon)
Here's the official logline for Artifical: "[The movie] chronicles the incredibly consequential days leading up to the sudden firing and reinstatement of Sam Altman, as the fate of who gets to control the technology at the centre of an AI arms race hangs in the balance."
It's unclear how much of Altman's backstory, his various relationships with his OpenAI colleagues, and ChatGPT's launch and subsequent sociopolitical impact will be covered as part of Artificial's story. One thing is for sure, though: given that it dramatizes events concerning Altman and OpenAI, the discourse that will surround Artificial's release will be impossible to ignore.
Durante uma conferência de imprensa em Seul, a OpenAI revelou que está a investigar e a produzir conjuntamente com a Samsung os próximos chips de inferência da empresa, numa altura em que os utilizadores empresariais do ChatGPT na Coreia do Sul cresceram 28 vezes num ano.
Enquanto Images 2 foi um update mais corpulento, o Images 2.5 chega com novidades incrementais (detalhes mais nítidos, geração de imagens até 50% mais rápida, edição mais precisa e ferramentas de criação/compartilhamento avançadas).
ChatGPT Images 2.5—faster, sharper, smarter, with better tools for creating whatever you can dream of.
– Faster image generation to keep your ideas flowing
– Improved fidelity for more natural, recognizable images
Em seu post de anúncio, a OpenAI explicou que o novo modelo produz “luz mais natural” e “texturas mais ricas”, além de seguir instruções de edição mais fielmente ao longo de várias tentativas. Ele também estaria melhor na hora de preservar o assunto principal de uma imagem de referência.
Além dessas melhorias, também foi introduzido o recurso “Sketch”, que permite ao usuário desenhar uma imagem de referência diretamente no ChatGPT, bem como predefinições (templates) de formatos populares de imagens, compartilhamento de prompts e mais.
Some ideas are easier to draw than describe.
Use Sketch to draw right in ChatGPT and show it exactly what you have in mind.
Por fim, a OpenAI anunciou duas versões do Images 2.5 voltada a desenvolvedores: o GPT-Image-2.5 Flare e o GPT-Image-2.5 Sunburst, os quais estarão disponíveis por meio da API 1Application programming interface, ou interface de programação de aplicações. do ChatGPT (com o Flare como opção padrão). Enquanto o primeiro traz uma oferta de recursos mais comum, o segundo é voltado para “workflows visuais premium” que demandam um maior nível de controle.
Use-o [GPT-Image-2.5 Sunburst] para fluxos de trabalho criativos e de edição, como campanhas publicitárias prontas para produção ou imagens de produtos com acabamento profissional.
O Images 2.5 já foi liberado para usuários de todos os planos do ChatGPT, do ChatGPT Work e do Codex em todas as plataformas suportadas.
Avec l’intelligence artificielle qui s’invite désormais dans les devoirs des collégiens et lycéens, de nombreuses familles font face à un dilemme : faut-il en limiter l’usage ou, au contraire, permettre à son enfant de suivre le mouvement ? Une étude révèle à quel point les pratiques des autres...
Après une période durant laquelle la concurrence semblait prendre de l’avance, OpenAI entend revenir sur les devants de la scène avec son nouveau modèle GPT-6 Astra. Plus performant, mais aussi davantage encadré, celui-ci mise notamment sur la sécurité et la fiabilité pour convaincre les...
Thousands of Kenyans made a living writing essays for overseas students. With A.I., the work has dried up, a warning for online gig work that has been a global lifeline.
Sam Altman has described himself as a “mega Apple fanboy” while discussing the trade secrets lawsuit now dividing two companies that were close technology partners only two years ago.
Speaking with journalist Alex Heath on the Sources podcast, the OpenAI CEO said he was “very sad” when he learned about the case. His admiration for Apple, however, did not soften his rejection of the allegations against OpenAI and two former employees.
Altman said the company does not want another business’s intellectual property and would dismiss anyone found to have improperly brought confidential material into OpenAI. He also said an internal investigation left him convinced that the employee at the center of the dispute had not acted improperly.
That is OpenAI’s account, not a resolution of the lawsuit. Apple alleges that trade secrets connected to hardware design, manufacturing and supply-chain operations were taken for the benefit of OpenAI’s consumer-device program. The defendants deny wrongdoing, and the court has not settled those competing claims.
Sam Altman Separates Personal Admiration From the Case
Altman’s response was unusually personal for a dispute of this scale.
Technology executives normally leave active litigation to lawyers and carefully written company statements. Calling himself a fanboy places Altman on familiar ground with millions of customers who admire Apple products while disagreeing with a corporate decision.
His first reaction, he said, was to assume that the accusations sounded serious enough that someone must have behaved badly. OpenAI then examined the matter and reached a different view.
Altman said the company would act if it found that someone had taken another company’s intellectual property. At the same time, he argued that an employee who had done nothing wrong deserved a defense.
That distinction is central to OpenAI’s public position. It does not deny that former Apple employees now work on its hardware initiative. Instead, the company disputes the allegation that their movement between employers brought protected information into the program.
Personal admiration cannot answer the evidentiary questions. Being a customer, praising a company or enjoying its products has no bearing on whether confidential files were accessed or used. Altman’s comments are more revealing as an account of how sharply the relationship has changed.
OpenAI once promoted its work with Apple as a partnership built around safety, innovation and access to advanced AI. It now describes the lawsuit as aggressive, inaccurate and unnecessary.
Image Credit: OpenAI
From ChatGPT Partnership to Hardware Rivalry
In June 2024, both companies announced an agreement to integrate ChatGPT into experiences across iPhone, iPad and Mac.
Siri could ask for permission to send certain requests to ChatGPT, while Writing Tools could use the model for composition and image generation. The integration gave OpenAI direct exposure inside some of the world’s most widely used personal devices without requiring every user to create an account.
At the time, Sam Altman said the partnership would introduce ChatGPT to users in a new way. Apple presented the external model as an optional extension of Apple Intelligence, keeping permission and privacy controls between the user and the third-party service.
The arrangement made sense while the companies occupied complementary positions. Apple controlled the devices and operating systems; OpenAI supplied a widely recognized generative model.
Consumer hardware changed that balance.
OpenAI is developing a family of AI-native devices with designer Jony Ive, whose work at Apple helped shape products including iPhone, iMac, iPod and Apple Watch. Tang Tan, another longtime hardware figure who previously worked on major Apple products, is now OpenAI’s chief hardware officer.
Once OpenAI began recruiting deeply from Apple’s hardware organization, the relationship was no longer limited to providing a model inside Siri. The companies were moving toward competition over the physical objects through which people may interact with AI.
That competition helps explain why the lawsuit reaches beyond an ordinary employment disagreement. Hardware development depends on manufacturing knowledge, component choices, testing systems, supplier relationships and production methods that can take years to build.
Apple’s complaint alleges that OpenAI benefited from confidential information in those areas. OpenAI argues that the case is being used to slow a potential rival and discourage employees from leaving.
What Apple Alleges Against OpenAI
Apple filed its lawsuit in July against OpenAI, Tang Tan and former electrical engineer Chang Liu.
The complaint alleges that former employees misappropriated trade secrets connected to product development and shared them with OpenAI as it accelerated its consumer-hardware ambitions. Apple has also sought a preliminary injunction intended to prevent the use of disputed information while the case proceeds.
According to Associated Press reporting on the original complaint, Apple accused OpenAI of encouraging recruits to provide confidential knowledge and advising them on how to avoid scrutiny during the transition between companies.
Those are allegations. OpenAI has denied that it requested, received or wants Apple’s trade secrets.
In its public response, OpenAI disputed several details surrounding Apple’s communications and treatment of departing employees. It argued that continued access to some files resulted from Apple’s own account-management practices and said former employees had attempted to handle that access responsibly.
OpenAI also said Tan had instructed his team not to use confidential material belonging to previous employers. Its motion to dismiss asks the court to reject Apple’s case, while its opposition to the requested injunction challenges the evidence and need for immediate restrictions.
Reuters reported that roughly 400 former Apple employees had joined OpenAI’s hardware initiative, according to figures appearing in court filings. Headcount alone does not establish misuse of trade secrets. It does illustrate the scale of the talent movement and why the dispute has become a defining fight over the next generation of personal hardware.
OpenAI’s Device Work Is Continuing
Sam Altman said he does not expect the lawsuit to slow the company’s device program.
That is the most direct business claim in his interview. It suggests that OpenAI has separated disputed material and personnel questions from the work it believes can continue without relying on protected Apple information.
Whether the schedule remains unaffected may depend on the court. A preliminary injunction could impose restrictions before a full trial, depending on its scope. A denial would allow development to proceed without that requested intervention, although the wider lawsuit would remain active.
OpenAI has revealed little about the devices themselves. The company has discussed an AI-native hardware family rather than a single conventional phone replacement, and Altman has spoken about the privacy discomfort created by products that visibly point cameras at other people.
That leaves the design, release timing and commercial strategy largely unknown. No product has been publicly introduced, and Altman’s assurance that development continues does not amount to a launch announcement.
The lawsuit also does not automatically end ChatGPT’s role across Apple platforms. The existing integration remains a separate customer-facing arrangement unless either company announces a change.
For people using ChatGPT through Siri or Writing Tools, the legal conflict currently produces more drama in court filings than difference on the screen. The stranger question is how long two companies can remain software partners while preparing to compete over the device sitting on the table beside that screen.
Image Credit: Samuel Boivin—NurPhoto via Getty Images
As more companies turn to AI, they’re hiring freelancers to clean up its mistakes rather than create original work
Lisa, a freelance graphic designer based in Spain, noticed a shift in her work after the release of ChatGPT in 2022. She went from receiving slow one-off jobs creating logos and packaging to an onslaught of requests asking her to fix versions that were generated by artificial intelligence – from sharpening fuzzy images for printing to turning flawed designs into usable files.
By 2025, Lisa, who asked not to be fully named to avoid solicitations, said 90% of her incoming logo and packaging design requests required cleaning up AI-generated content, work that accounted for 60% to 70% of her annual income. But the grind was exhausting. Clients lowballed her;' some AI-generated designs were so flawed that she had to recreate them from scratch and she worried about being complicit in AI-driven copyright infringement. By the end of the year, she began turning those jobs down.
Meta AI listed them like a shopping list. Everdene. Virelune. Narrowbeck. Fitchwold. Brimsel. Yestrave. Mibbelth. Varkhoon. Cassivane. Turnbold. Wumbral. Mawthorn.…
The most recent update to the ChatGPT app for iOS has introduced a new feature that will make those who rely on the company’s AI assistant for work-related tasks quite happy: a customizable widget that lets you control which shortcuts can be placed for convenient access on the Home Screen.
The new widget is called ‘ChatGPT shortcuts’, and it comes in two sizes – small and medium. Alas, the company didn’t add support for large widgets on iPhone yet, nor did they roll out an XL widget for iPad users. I hope more sizes will be coming soon. Unlike the existing ‘ChatGPT’ widget, the new one allows you to personalize which shortcuts are visible on the Home Screen. Once added, long-press the widget, select ‘Edit Widget’, and you’ll be presented with options to choose which buttons you want to show and whether labels should be displayed underneath them or not.
What’s especially nice about these widgets is that they cover the full spectrum of “ChatGPT surfaces” now offered by OpenAI: Chat, Work, and Codex Remote. For each, you can swap default buttons for the following ones:
Chat
New chat
Camera
Photos
Dictation
Voice
Work
New work chat
Work camera
Work photos
Work dictation
Work voice
Remote
New remote chat
Remote camera
Remote photos
Remote dictation
Remote voice
I’m a huge fan of Codex Remote for iOS and iPadOS: as things stand right now in the AI industry, OpenAI’s Remote “app inside an app” for iPhone and iPad is the only intuitive, full-featured solution to start new chats in a remote agent running on macOS directly from iOS and iPadOS. (I am as surprised as everyone else that Anthropic, who were first to the “remote control” space, haven’t shipped a comparable experience in Claude for iOS. Supposedly, that is coming “soon”.)
What do you want to open – Voice or Voice?
Even more impressively, Remote voice (a version of ChatGPT Voice that runs in Codex on the Mac and lets you have bidirectional conversations from the iPhone while the agent is running on the Mac and orchestrating threads there) can now also be accessed from Control Center and the Lock Screen via a dedicated control. Unfortunately, this control has the same icon as regular ChatGPT Voice (which runs in the cloud, not on your Mac). I know: it can all be very confusing, and I hope OpenAI brings some clarity to these icons soon. On a similar note, I wish OpenAI’s iOS team also offered the widgets’ new shortcuts as proper actions in the Shortcuts app. Right now, these launchers are only available from the Home Screen.
The new customizable widgets are the latest entries in a larger push by OpenAI to improve the performance of Codex Remote on iOS and other design changes for iPhone and iPad users. The ChatGPT app recently received a redesigned ‘latest photos’ picker in Chat and Work modes (long-press the + button in the text box, and you’ll see), a tweaked reasoning selector, and the cloud browser we covered earlier this week on MacStories.
Like a lot of people, I spend far too much time clicking around websites that require a login, looking at analytics and other data, checking whether new sponsors have been booked for our podcasts, and more. It’s a tedious but necessary part of my week that slows me down and takes me away from writing and other creative work. ChatGPT’s new Work feature is designed to handle that sort of work for you.
The feature works by signing into websites using a virtual, cloud-based computer. That separates the browsing session from any browsing session on your local computer, walling the agent’s computer use off from your open tabs, cookies, browsing history, passwords, and other data. Because the login and browsing happen in the cloud, that also means work can continue whether you close the ChatGPT app or power down your computer.
According to OpenAI, an additional review model checks the sign-in request and credential destination for signs of phishing or deception. ChatGPT Work then pauses while the user signs in. Credentials entered through its secure sign-in form go directly to the cloud browser and are not visible to the model. After the user authenticates, ChatGPT resumes its work.
OpenAI also explains that its cloud-based browser doesn’t store your username and password. Instead, it saves cookies that allow you to return to a previously authenticated session. If you don’t want to remain logged in, ChatGPT’s cloud browser settings allow you to clear browser data for individual websites or all sites.
Similar to other features in ChatGPT and Codex, users have choices when it comes to which sites ChatGPT Work can access. “Always ask” is the default, requiring the agent to check with the user before using a website, but the permission level can also be set to “Auto approve” after ChatGPT checks a site for relevancy and risk or “Always allow,” which OpenAI discourages. Individual websites can also be allowed or blocked. These settings control website access, but consequential actions require separate confirmation.
ChatGPT Work’s browser control works best on a mobile device and with simple login systems.
I gave ChatGPT’s browser use a try and the results were mixed. I wasn’t able to get the feature to work at all using ChatGPT Work in Safari on my Mac. Some websites had security measures in place that prevented me from logging in. Other times, the cloud browser asked me to take over manually, but I was unable to do so because the UI was frozen or login panels didn’t appear.
Logging into a site with a CAPTCHA required manual intervention.
I had better luck using my iPhone. On one site with a simple username and password system, a login sheet appeared. I entered my credentials, was logged in, and the agent navigated the site to answer my queries. On Apple’s affiliate link dashboard website, I had to take over the browser interaction manually to satisfy a CAPTCHA, which worked after several challenges. Once logged in, the agent pulled and analyzed the data I requested. Also, after I’d signed in to both of those sites on my iPhone, I remained logged in to ChatGPT’s cloud browser, which meant I could also use them from my Mac.
In its current form, the idea of having ChatGPT Work browse signed-in websites on your behalf is better than its implementation. If you can get logged in, having an agent collect and analyze things like analytics data is fantastic. However, getting past the initial login screen is still too frustrating. That said, I’ll be keeping a close eye on the feature, which is available on eligible plans depending on rollout and workspace settings, for future use collecting and analyzing data that would otherwise require a lot of clicking around.
Late yesterday, OpenAI revealed the sort of automation catnip I love: Computer History. It’s a new feature for Pro, Business, and Enterprise subscribers that creates continuity for ChatGPT and Codex by converting the actions you take on your Mac into Markdown memory files that serve as context for subsequent interactions. The idea is that with the additional context, ChatGPT and Codex will better understand your requests, requiring you to provide less detail up front while getting better results. Anyone familiar with OpenClaw, Hermes Agent, and similar projects will know where this is going.
Here’s how it works.
Computer History is currently a Mac-only feature that is turned off by default, so if you want to try it, head to the Integrations section of the desktop app’s settings and toggle it on. History entries can be cleared individually, too. Before you get started, ChatGPT explains that you can pause or clear your history and manage the apps and websites that Computer History accesses at any time. I excluded Passwords, 1Password, and Keychain Access to start and may add to that list as I use the feature more and get a better sense for the sort of information that it collects.
That opening alert also says you agree to pause Computer History during video and audio calls with others to avoid recording them without their consent. I appreciate the reminder that recording people without consent is something you shouldn’t do and is even illegal in some places, but as with the many meeting summarization tools on the market, I doubt that very many people will heed the warning and comply even though doing so is just a click of the menu bar away.
Still, I appreciate the alert up front, because turning Computer History on requires trust that the information won’t be misused by OpenAI. I’m sure that’s a bridge too far for some, but one of the most frustrating parts of using a tool like Codex is explaining yourself over and over. Every thread is like Groundhog Day for an agent, and while there are techniques that help provide continuity, making it automatic with Computer History is an exciting prospect.
If you’re intrigued by the potential, it pays to read OpenAI’s documentation and understand how the feature works. First of all, Computer History is not the same as Chronicle, a retired research preview feature that relied on taking screenshots as you worked. In contrast, Computer History records interaction events but not screenshots, audio, or private web browsing sessions, according to OpenAI’s documentation. In practice, what that means is that as you work, ChatGPT will record your switches from app to app and what you’re doing in apps. Here’s what it’s captured as I started work on this story:
As you can see, every 10 minutes, ChatGPT creates a brief, timestamped summary of what I’ve been doing and lists the apps I’ve used by their icons. If I hover over an entry, I can immediately delete it or open the source file in the Finder for more detail on the information that ChatGPT is collecting.
Each entry in Computer History is a Markdown file with YAML front matter that includes a title, description, and list of the apps you’ve used followed by a structured memory document. Here, you’ll see a summary of what you’ve done:
The user continued writing computer history.md in Obsidian’s MacStories Vault, refining the section that explains how Computer History differs from the earlier Chronicle preview and adding a practical description of what the feature records while the user works. The user referenced the OpenAI Learn Computer History documentation in Safari, briefly exchanged messages with Federico Viticci, checked ChatGPT/Codex settings, and then opened MacStories Images to queue a screenshot named CleanShot 2026-08-14 at 06.08.44@2x.png for upload. The upload was queued by the end of the segment, but no completed upload or copied Markdown image link was observed.
You’ll also find details that ChatGPT deems important and non-obvious, such as the following:
Important non-obvious context about the user
MacStories Vault - Obsidian vault where the Computer History article draft was active.
computer history.md - active note being drafted for the Computer History article.
CleanShot 2026-08-14 at 06.08.44@2x.png - screenshot selected from @ Screenshots and queued in MacStories Images near the end of the window.
MacStories Images - internal Safari image uploader used for the screenshot; the page showed one queued item and an Upload 1 control.
Federico Viticci - Messages conversation briefly active during the writing session.
ChatGPT/Codex settings - ChatGPT app showed settings around 10:08Z, likely related to the same Computer History article context.
That’s followed by a more detailed blow-by-blow accounting of what I did over the course of the 10 minutes covered by the report. In all, it’s just shy of 700 words, which, by the end of the day, will be just one short journal entry among dozens tucked away in a folder on my Mac.
Codex.
Those files are used as context for ChatGPT and Codex. I haven’t used the feature long enough to thoroughly test it, but as you can see from the screenshot above, it provided concise, correct answers when asked about what I’ve been working on today and my conversation with Federico.
That’s not too different from what the new Siri app can do on macOS Golden Gate, but as I suspected, the seams start to show when you move beyond questions to tool use. When I asked Codex to send a draft of my story to Federico, it called on Computer Use to find the Markdown file and drop it in my Messages thread with him, which is exactly what I wanted. By contrast, the Siri app pasted the text of the draft into the message itself as a wall of raw Markdown text with \n characters for line breaks. Spoiler: that’s not what I wanted.
Siri.
Siri comparisons aside, Computer History is the sort of feature that deserves a check-in down the road because its true value and limitations aren’t going to reveal themselves from a few contrived examples. OpenAI’s documentation explains that it can be used to jog your memory when resuming a project, find things you recently worked on, and create workflows, which is the most interesting bit.
So many potential automations die before they’re ever created because we all have deadlines and too many things to get done. Stopping to build a skill or other automation for a task breaks your flow. Computer History promises to reduce that to a simple request like, “I just did X. Turn it into a skill.” Again, how well that works in practice remains to be seen, but it’s exactly what I want from an agent.
I’ve already touched on some of the privacy implications of Computer History, but it’s worth digging into how these memories are generated before you use the feature. The Markdown files I described are built from the interaction events that Computer History records locally as you use your Mac. OpenAI says the event files are deleted after 48 hours and are used by Codex in an ephemeral session to generate the Markdown memory files that are also stored locally. Then, when you ask a question in ChatGPT or Codex that calls on your local Markdown memory files, they are used as context for the prompt, transmitting the data as part of the request to OpenAI. So if you’re not comfortable with letting Codex use your Mac interactions to generate memories and then sending those memories to ChatGPT or Codex as context, you shouldn’t turn on Computer History.
Me, I’m excited by the prospect of Computer History. I work across a huge number of apps every day on multiple projects, and it’s too easy to lose track of it all. But most of all, I’m intrigued by the possibility of reducing the friction of creating repeatable skills to automate everyday tasks. I’m just a few hours into my Computer History experiment, and I will report back after I’ve had time to live with it for a while.
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