The Daily AI Show: Issue #81

Welcome to Issue #81

Coming Up:

The First Real Step Toward Universal AI Coworkers

AI Glasses and Agentic Browsers Point to Companion AI Coworkers

Bringing AI to Your Work Beats Bringing Work to AI

AI Shoppers Are the New Frontier in Ecommerce

Plus, we discuss AI benchmarks and their overuse, scientific datasets finding new homes, AI vs human first contact, and all the news we found interesting this week.

It’s Sunday morning.

Santa has already AI optimized his entire global route with 11 days to go.

What is your excuse?

Time to start planning your AI strategy for 2026

Let’s go

The DAS Crew

The First Real Step Toward Universal AI Coworkers

A major shift happened this week that did not get the attention it deserves. The largest players in AI and infrastructure quietly agreed on a shared foundation for the future of interoperating AI agents. This new group, the Agentic AI Foundation, includes OpenAI, Anthropic, Google, AWS, Microsoft, Salesforce, IBM, Cloudflare, Bloomberg, Cohere and many others. Their goal is simple. Make it possible for AI agents to work across tools, data sources, and environments without providers trapping everything inside closed ecosystems.

For people who actually deploy AI inside companies, this is the unlock. Right now, most agent systems live in silos. ChatGPT has its own agent framework. Gemini has its own. Perplexity has its own. Local agents run differently than cloud agents. And they don’t talk to each other in a common language. This slows adoption, creates duplicate work, and forces teams to rebuild the same integrations again and again. This is where agreed standards of interoperation can open more fluent interactions by agents.

The Foundation flips this from isolation to cooperation. Anthropic contributed MCP, the Model Context Protocol, which lets any agent talk to tools and data the same way a developer uses APIs. OpenAI contributed agents.md, which acts like a readme file telling an agent how a codebase works or what services are available to other agents. Block contributed Goose, a fully local coding agent that can run without sending anything to the cloud. Together, these create the beginnings of the shared language that any agent can use.

This matters for one reason.

AI coworkers need human-like interoperability. Competent agents cannot be tied to a single app or interface. They need to move across the browser, Slack, email, codebases, spreadsheets, PDFs, and enterprise systems. They need to call tools, fetch data, write files, run jobs, and hand tasks off to other agents, the same way human teams work.

Standardizing the plumbing accelerates everything. It lowers integration cost. It reduces the risk of vendor lock in. It makes security review easier. It lets companies build once and run everywhere. And it pushes the industry toward a world where people and AI coworkers operate inside the same workflows instead of juggling a dozen incompatible agent systems strapped to existing workflows.

We are at the beginning of that shift. If this Foundation succeeds, AI agents will feel less like isolated experiments and more like true teammates that move naturally across your entire stack and out into the wide world of connected systems. The future of work will not be one assistant in one app. It will be a network of coordinated AI coworkers that understand your tools, your data, your rules, and your workflows.

AI Glasses and Agentic Browsers Point to Companion AI Coworkers

The next wave of AI is not happening in chat windows. It is happening alongside you in the physical world. Google’s upcoming AI glasses, agentic browser tools like Gemini and Comet, and the rise of local AI execution through products like Claude Code all show the same trend. AI is moving out of the abstract and into the environment where people actually work.

With sensors, live vision, real-time context, and multimodal reasoning, AI is no longer just answering questions. It is starting to act alongside people. AI glasses may be the clearest example of that future. They can quietly interpret objects, identify books, help with repairs, summarize what you are looking at, or help someone remember where they left something. That is a practical coworker/assistant, not a chatbot.

Agentic browsers point toward the same direction.

A browser that can click, search, navigate, analyze, and carry out tasks is a system that works the web the same way a person does. This is not automation in the background. This is a digital peer that handles the tedious parts of knowledge work while you stay focused on the decisions that matter.

Even the safety conversation shows the shift. Gartner warned against agentic browsers inside enterprises because these AI tools adopt their humans’ access authorization in ways they never had before. Google responded by building oversight layers into Chrome so the browser learns your boundaries and stops itself when the task crosses into sensitive territory. This is emerging workplace governance for AI peers.

AI is becoming part of the work environment instead of a tool outside it. People will work next to AI systems that see what they see, know what they are working on, and collaborate inside the same apps, devices, and files. The companies that prepare for this shift now will adapt far faster because the next generation of tools will not sit in a separate tab.

They will sit beside you.

Bringing AI to Your Work Beats Bringing Work to AI

One of the biggest changes happening in AI right now is not a new model. It is the movement of AI assistants into the place where people already work. Gemini’s Gems make this clear. Instead of asking users to move their documents, slides, spreadsheets, workflows, and notes into an AI tool, the AI now moves to them. It is available inside Docs, Sheets, Slides, Gmail, and even Google Meet transcripts. This seems small, but it is the start of a major shift in how people will work with AI long term.

The real value is proximity.

When an assistant lives inside the document, it sees the same information you see. It understands the context. It can act on the file without you adding extra steps. It can summarize a meeting while you are using the transcript. It can clean up a pitch deck while you edit the slide. It can turn a PDF into a structured outline without ever leaving the workspace. And if you bring in a Gem, it assumes your style, your knowledge, your formatting rules, and your company’s voice.

That is the key difference.

You are not switching tools.
You are not exporting.
You are not copying text from one screen to another.

The AI becomes a coworker sitting inside the file system and communication tools you already use every day.

This is the shape of future work. People will have AI peers embedded directly inside the tools where work actually happens. These assistants will draft, revise, convert, summarize, outline, analyze, and automate while humans stay in control of the decisions. It meets people where they already are. It fits into existing workflows instead of forcing new ones.

Companies that adopt this approach will see faster uptake and fewer barriers. People do not resist tools that feel familiar. And when the AI helps within the tools they already understand, the workflow stops feeling like automation and starts feeling like collaboration. This is the beginning of true AI coworkers, not chatbots on the side.

AI Shoppers Are the New Frontier in Ecommerce

Shopify quietly introduced one of the most important ecommerce features of the year. They now let merchants create AI powered “Sim Shoppers,” digital customers that behave like real users. These AI shoppers browse the site, test navigation paths, complete tasks, abandon carts, get stuck, and look for products the way a human would. In other words, brands can now run A and B tests with zero live traffic and uncover conversion issues without waiting weeks for real customer data.

This is a turning point.

For the first time, ecommerce site optimization can happen before customers ever arrive. Buttons can be moved. Flows can be rewritten. Product pages can be fixed. Pricing elements can be tested. All these changes informed by autonomous shoppers that behave like people.

But the shift goes deeper than that. Shopify connected Sim Shoppers with a broader push into agentic storefronts. One integration in Shopify stores can now place your products inside ChatGPT, Perplexity, and Microsoft Copilot. Developers can access millions of products through Shopify’s unified API. And Sidekick, Shopify’s AI coding assistant, lets merchants redesign entire storefront elements through conversation.

This is the early enablement of A to A commerce, where agents talk to other agents without humans in the loop. A customer’s personal AI will soon negotiate with a store’s AI. Agents will compare prices, run product checks, validate shipping times, and flag quality issues automatically. Merchants will have their own agents monitoring site performance and optimizing funnels for humans and for agents long before a human QA analyst signs in.

Ecommerce used to be about design, traffic, and funnels. Now it is about how well your systems work with AI coworkers. The brands that adopt AI shoppers early will have a major advantage because they will fix issues before customers ever feel them. The future storefront is not just built for people.

It is being built for the AI that represents them too.

Just Jokes

AI For Good

CGIAR launched a new global AI Agriculture Ecosystem Hub that will turn decades of crop, soil, and climate data into practical tools farmers can use in real time. The Hub brings together researchers, AI developers, and field organizations to build apps that help farmers choose the best planting windows, prepare for extreme weather, manage water use, and improve yields with fewer resources.

The idea is to take the massive scientific datasets that usually stay locked in research labs and translate them into simple decision tools for farmers in every region. CGIAR says the Hub will support small and large farms alike by offering early-warning alerts, localized forecasts, and AI-guided recommendations that help crops survive unpredictable conditions. This effort could give farmers better climate resilience at a moment when traditional growing seasons are becoming harder to rely on.

Source

This Week’s Conundrum
A difficult problem or question that doesn't have a clear or easy solution.

The Envoy Conundrum

If and when we make contact with an extraterrestrial intelligence, the first impression we make will determine the fate of our species. We will have to send an envoy; a representative to communicate who we are. For decades, we assumed this would be a human. But humans are fragile, emotional, irrational, and slow. We are prone to fear and aggression. An AI envoy, however, would be the pinnacle of our logic. It could learn an alien language in seconds, remain perfectly calm, and represent the best of Earth's intellect without the baggage of our biology. The risk is philosophical: If we send an AI, we are not introducing ourselves. We are introducing our tools. If the aliens judge us based on the AI, they are judging a sanitized mask, not the messy biological reality of humanity. We might be safer, but we would be starting our relationship with the cosmos based on a lie about what we are.

The conundrum:

In a high-stakes First Contact scenario, do we send a super-intelligent AI to ensure we don't make a fatal emotional mistake, or do we send a human to ensure that the entity meeting the universe is actually one of us, risking extinction for the sake of authenticity?

Want to go deeper on this conundrum?
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New York Times Sues Perplexity for Copyright Infringement
The New York Times filed a lawsuit accusing Perplexity of using paywalled material without permission. The suit argues that Perplexity’s responses reveal content that originates behind the Times’ subscription wall. Similar lawsuits have appeared in recent months, including a new filing by the Chicago Tribune.

Deeper Insight:
These cases are less about winning in court and more about forcing licensing deals. News organizations want to secure recurring payments from AI companies before the legal landscape settles.

Meta Acquires Limitless, Ending Its AI Pendant Product Line
Meta purchased Limitless, the company behind the wearable AI pendant designed to record and transcribe real world conversations. The hardware program has been shut down, current devices will be supported for one year, and future development will shift to Meta’s AR and wearable products.

Deeper Insight:
This was an acqui-hire. Meta gains a team already working on ambient AI tools without carrying forward a hardware product that lacked clear consumer traction.

Halliday AI Glasses Reviewed as Largely Non Functional
Early buyers of the Halliday AI glasses reported that the device can display only small lines of monochrome text and does not support audio responses from mainstream AI models. Reviewers say the display requires users to look upward awkwardly, the speakers are poor, and the AI assistant cannot handle meaningful queries.

Deeper Insight:
Wearable AI hardware remains far behind expectations. Without hands free voice interactions and real integration with major models, most current devices offer novelty instead of real utility.

Google Workspace Launches Early Access to Workspace Studio
Google began rolling out Workspace Studio, a new automation layer that lets users create workflows across Gmail, Drive, Docs, and Gems. The tool is available to select enterprise accounts and is designed to simplify multi-step business automations.

Deeper Insight:
Google is turning Workspace into a full automation environment, positioning Gemini as an orchestrator rather than a single model window. This will increase lock-in across Google’s ecosystem.

Poetic Releases Meta Reasoning System That Outscores Gemini 3.0 Thinking
A new open source project called Poetic introduced a meta system that layers recursive reasoning on top of Gemini 3. The method boosted Gemini’s ARC AGI 2 score from the high 40s to above 54 percent. The system costs around thirty seven dollars per solution, far cheaper than earlier runs.

Deeper Insight:
Reasoning breakthroughs no longer require bigger models. Orchestration layers that guide any model through iterative reasoning can outperform raw scale improvements, and they are small enough and inexpensive enough for open source use.

ChatGPT Growth Slows as Gemini Gains Momentum
A Sensor Tower report found that while ChatGPT still commands half of global mobile downloads, Gemini is now growing faster in downloads, monthly active users, and time spent in app. The trend reflects Gemini’s strong 2025 momentum.

Deeper Insight:
User behavior is shifting from model loyalty to value per task. Gemini’s integrated ecosystem and multimodal strength give it an edge in everyday workflows.

Perplexity Launches BrowseSafe to Block Browser Agent Jailbreaks
Perplexity released BrowseSafe, a security layer that blocks ninety one percent of prompt injection attacks inside its Comet agent browser. The system prevents malicious websites from hijacking or overriding agent behavior.

Deeper Insight:
Agent browsers cannot scale without strong jailbreaking defenses. Security layers like this will become mandatory as autonomous browsing tools enter consumer and enterprise use.

Google Prepares To Release Nano Banana Flash
Google is signaling that Nano Banana Flash, the lightweight high-speed image generation model, may launch this week. Flash is designed for ultra low-cost inference and rapid infographic or schematic generation. The timing overlaps with OpenAI’s release of the new ChatGPT 5.2 model revision this week.

Deeper Insight:
If Flash reduces image generation cost enough, throwaway visualizations will become standard across productivity tools. Rapid schematic overlays could also make AR glasses far more practical for real world tasks.

Google Readies New Google Glasses for 2026
Google is developing a new line of smart glasses planned for release in 2026. The glasses will support conversational interactions with Gemini, private audio through the stems, and two versions at launch, one with an in-lens display and one without. Early demos showed object memory, environmental awareness, and the ability to provide real time help using visual context.

Deeper Insight:
Google is betting on ambient computing through lightweight wearables. If the glasses deliver reliable object recognition and contextual help, they could become the first broadly useful AI wearable rather than another novelty device.

Gartner Warns Enterprises Against Using Agentic Browsers
Gartner issued guidance advising enterprises to avoid agentic browsers for now. Agent browsers automatically send viewed content to the cloud for summarization or reasoning, which risks leaking confidential internal material. This risk applies to tools like Perplexity Comet, ChatGPT Atlas, and early Gemini browser integrations.

Deeper Insight:
The biggest obstacle to browser agents is not capability, it is data security. Until agent browsers can reason locally or sandbox sensitive content, most enterprises will block them.

Google Announces New Chrome Protections for Agentic Features
Google revealed a layered security system for Chrome’s future agentic capabilities. A Gemini powered alignment critic monitors actions separately from the browser and blocks AI operations on sensitive areas like banking pages, passwords, or untrusted site elements.

Deeper Insight:
Google plans to integrate AI deeply into Chrome, but it knows trust will determine adoption. Building agent safety into the browser itself gives Google a structural advantage over third party agentic tools.

OpenAI Disables Promotional Messages After Users Report Ad-Like Content
Users reported seeing what looked like ads inside ChatGPT responses. OpenAI acknowledged the issue, stating that promotional experimental messages were shown too aggressively and did not appear clearly distinguished from normal output. The messages were disabled after user backlash.

Deeper Insight:
User trust is fragile in AI assistants. Any hint of undisclosed advertising risks major reputation damage, especially as assistants move into voice, agents, and long running tasks.

OpenAI Finds AI Adoption Saves Workers 40 to 60 Minutes Per Day
A new OpenAI enterprise usage report found that employees using ChatGPT for work save between forty and sixty minutes per day across common tasks. Anthropic released related data showing that structured task completion inside Claude cuts time by about eighty percent.

Deeper Insight:
The numbers sound small until multiplied across teams. Even one reclaimed hour per person per day transforms organizational output. The compounding effect matters more than the daily total, as AI accelerates productivity in the newly available saved time.

Gartner Highlights Claude Code Security Considerations
As Anthropic expands Claude Code into Slack and enterprise workflows, experts warn that teams must understand what Claude Code can access on local machines. The tool can run code on the user’s device, access files, and modify directories unless restricted.

Deeper Insight:
Agentic coding tools blur the line between helper and system level process. Companies will need controlled execution environments, not free roaming agents on employee laptops.

Integral.ai Claims the First AGI Capable Model
A Japan-based company called Integral.ai announced that it has built the first AGI capable system. The company defines AGI as a machine that can independently teach itself new skills, master novel domains without human input, avoid catastrophic mistakes during learning, and do so with energy use comparable to a human learning the same tasks. Integral.ai says its new platform meets these criteria, but it has not yet demonstrated benchmark results or public evaluations.

Deeper Insight:
Without independent testing, this remains a claim rather than a proven milestone. The definition they use also lowers the bar compared to industry standards, which normally emphasize broad capability across human tasks, not just autonomous skill formation. But both AGI and superintelligence do depend on development of autonomous skill improvement beyond human-reinforced training.

Pentagon Launches genai.mil With Gemini for Government
The U.S. Department of Defense launched genai.mil, a secure portal that gives around three million military and civilian personnel access to generative AI tools starting with Gemini for Government. Staff can summarize documents, generate reports, analyze imagery, and search large policy datasets. The system runs in a sovereign cloud at Impact Level 5 and is isolated from public model training.

Deeper Insight:
Defense adoption of AI is shifting from narrow battlefield use to everyday administrative automation. Once embedded at scale, it will accelerate the push for military-wide AI literacy and raise new oversight questions.

DeepSeek Introduces Sparse Attention and Claims Benchmark Wins
DeepSeek released version 3.2 of its model family, including a “Speciale” reasoning variant. The company says it outperforms Gemini 3 Pro on several tests by using sparse attention, a technique that activates the most relevant tokens during reasoning to reduce compute and extend usable context length.

Deeper Insight:
Sparse attention shows that architectural innovation now matters as much as scale. But DeepSeek’s benchmark win claim applies only against Gemini 3 Pro without Thinking mode. Gemini 3 Pro Thinking remains stronger by a small margin.

South Korea Requires Labels on AI Generated Ads
South Korea will require all AI generated promotional images or videos to carry explicit labeling starting next year. The policy is a response to a surge in deepfake based ads featuring fabricated celebrity endorsements or fake medical experts. Platforms will be prohibited from removing the AI labels, and penalties for misleading AI content will increase.

Deeper Insight:
This is one of the first national regulations treating AI made ads as a distinct risk category. It shifts the legal burden onto both creators and hosting platforms, setting a precedent other countries may follow.

China Moves Toward Space-Based AI Systems
China launched a twelve satellite constellation equipped with an onboard eight billion parameter model and plans a megawatt scale orbital data center by 2035. The long term goal is for its space based AI capacity to exceed its terrestrial compute.

Deeper Insight:
Space based compute is no longer a sci fi concept. If orbital AI becomes viable, it changes global compute distribution, energy dependencies, and sovereign control of model infrastructure.

Microsoft Announces 23 Billion Dollar AI Infrastructure Push in India and Canada
Microsoft will invest seventeen point five billion dollars in India and another seven point five billion in Canada to expand cloud infrastructure, build sovereign AI environments, and scale training programs. India will gain new hyperscale data centers and a plan to train twenty million people in AI skills by 2030. Canada’s investment strengthens Microsoft’s partnership with Cohere and expands local cloud capacity.

Deeper Insight:
Global AI infrastructure is becoming a geopolitical asset. Countries with their own sovereign stacks will have more leverage in future trade, labor, and technology negotiations.

IBM Acquires Confluent for 11 Billion Dollars
IBM agreed to acquire Confluent, a real time data streaming company built around Apache Kafka. IBM plans to integrate Confluent with its WatsonX and hybrid cloud offerings to create a unified platform for real time operational data flowing into AI agents and enterprise automation.

Deeper Insight:
AI systems depend on high quality, continuous data streams. By owning the data layer, IBM strengthens its position in enterprise AI as companies shift from batch processing to live event driven workflows.

StarCloud Trains the First LLM in Space
A startup called StarCloud launched a satellite equipped with an Nvidia H series GPU and successfully trained what it claims is the first large language model in orbit. The company says space based data centers can offer continuous solar power, natural radiative cooling, and freedom from Earth-based permitting. Blue Origin, Starlink, and Google are also exploring space based AI infrastructure.

Deeper Insight:
Space compute unlocks new strategic advantages. It removes land and power constraints, and it positions orbital infrastructure as a future competitive front in the global AI race.

OpenAI and Disney Sign a Three Year Licensing Deal for Sora
OpenAI and Disney reached a major agreement allowing Sora users to generate short videos featuring Disney, Pixar, Marvel, and Star Wars characters. Disney will add selected fan created Sora videos to Disney Plus. As part of the deal, Disney will invest one billion dollars in OpenAI and deploy ChatGPT across its workforce. OpenAI and Disney say all content will follow strict safety rules.

Deeper Insight:
This is the first large scale licensing deal for AI generated storytelling with major IP holders. It sets a precedent for how entertainment companies will commercialize AI creativity rather than fight it.

McDonald’s Pulls AI Generated Holiday Ad After Backlash
McDonald’s released an AI generated holiday ad in the Netherlands that featured stylized winter scenes and digital characters. Viewers criticized it as unsettling and poorly edited. Comments were disabled and the ad was removed after widespread negative feedback.

Deeper Insight:
Consumers are quick to reject AI content when it attempts realism and misses the mark. Brands must either fully embrace stylization or invest in higher fidelity models.

Microsoft Releases Study of 37 Million Chat Sessions
A new analysis of thirty seven million CoChat conversations shows health queries dominate across all hours and devices. During work hours, users focus on planning and travel. Late night usage shifts toward philosophy. Coding tasks and learning remain consistent throughout. Copilot users most often rely on AI for search, advice, creation, and technical support.

Deeper Insight:
User behavior is reshaping product strategy. The strongest demand clusters around health, learning, and personal decision support, not just coding or productivity.

South Korea Requires AI Labels on All Synthetic Ads
South Korea will require all AI generated promotional images or videos to include clear labeling beginning next year. The rule targets deepfake endorsements and fabricated medical claims that have surged online. Platforms will be prohibited from removing required labels.

Deeper Insight:
This is one of the strongest national AI ad transparency laws to date. It pressures platforms to moderate synthetic media proactively rather than waiting for complaints.

China Builds Toward Space-Based AI Dominance
China has already deployed a twelve satellite constellation carrying an eight billion parameter AI model in orbit and has plans for a megawatt scale orbital data center by 2035. The country expects its space based compute capacity to exceed its ground based capacity within a decade.

Deeper Insight:
Space compute is becoming a geopolitical contest. Whoever controls orbital AI infrastructure will command new leverage over global communications and autonomous systems.

Microsoft Announces 23 Billion Dollar AI Infrastructure Expansion in India and Canada
Microsoft revealed a twenty three billion dollar investment to build AI infrastructure in India and Canada. The plan includes new hyperscale data centers, sovereign AI environments, and extensive workforce training. India will receive twenty million AI upskilling commitments by 2030. Canada will see deeper integration with Cohere.

Deeper Insight:
Nations that secure early AI infrastructure become long term hubs for investment and talent. This reshapes the global economic map.

IBM Acquires Confluent to Strengthen Real Time AI Data Pipelines
IBM acquired Confluent for eleven billion dollars to integrate real time data streams with its WatsonX and hybrid cloud environment. Confluent’s foundation on Apache Kafka gives IBM a unified data fabric to feed agents and enterprise AI models.

Deeper Insight:
AI performance depends on live, reliable data flows. Owning the streaming layer strengthens IBM’s position as enterprises shift from batch processing to real time automation.

OpenAI Releases GPT 5.2 With Major Reasoning Gains
OpenAI announced GPT 5.2, calling it the first model to perform at or above human expert level across a wide range of knowledge work tasks. Early testers report major improvements in adherence to complex instructions, multistep reasoning, spreadsheet logic, and long form planning. Thinking and Thinking Pro modes can run for extended periods, though some users report occasional long runs that time out.

Deeper Insight:
This update pushes models closer to true agentic behavior. GPT 5.2 does more with far less prompting, which changes how teams design workflows and tools. The bottleneck shifts from prompt engineering to high level task definition.

Topaz Labs Receives Emmy for Image and Video Restoration Technology
Topaz Labs won an Emmy Award recognizing its AI based enhancement tools used to restore and upscale film and television catalogs. The company’s products are now used by millions of consumers and by large studios to rescue aging footage that would otherwise be unusable.

Deeper Insight:
Restoration AI has matured into critical media infrastructure. As entertainment companies digitize older catalogs, tools like Topaz become essential for preserving decades of content.

New BCI Startup Secures 260 Million Dollars for Retinal Implant
ScienceCorp raised two hundred sixty million dollars to commercialize Prima, a grain sized retinal implant designed to restore vision. The implant works with camera glasses and a compact battery to return reading level clarity to patients impacted by retinal degeneration, including macular conditions.

Deeper Insight:
This is a major step for medical grade brain computer interfaces. Narrow purpose implants are proving more practical than full neural interfaces and will likely reach mainstream clinical use first.

Open Source Model Outperforms Human Competitors in College Level Math
Nous Research released Nomos One, a thirty billion parameter model that scored eighty seven out of one hundred twenty on the 2025 Putnam exam, placing second among nearly four thousand human competitors. The model uses a multi worker reasoning system with tournament style elimination to surface the strongest proofs.

Deeper Insight:
Small models plus advanced orchestration can now rival or surpass human experts. This challenges the idea that only frontier scale models can achieve elite reasoning.

Sam Altman Teases Multiple OpenAI Releases Coming Next Week
Sam Altman posted that OpenAI has “Christmas presents coming next week,” following a ten year anniversary message and the reveal of OpenAI’s deal with Disney.

Deeper Insight:
OpenAI uses small rapid release cycles to maintain momentum. Given how competitive 2025 has been, these hints suggest more model updates or new system tools are imminent.