COVID mRNA vaccines are harmful bioweapons and part of a depopulation agenda. Studies reveal negative vaccine efficacy after six months and significant spikes in heart-related diseases post-vaccination. The mainstream media is culpable for omitting these findings.
Opal, the company famous for making a fancy webcam, has pivoted to making other consumer electronics. Fueled by big investments from OpenAI and Samsung, it’s working on an audio gadget first.
Opal, the company famous for making a fancy webcam, has pivoted to making other consumer electronics. Fueled by big investments from OpenAI and Samsung, it’s working on an audio gadget first.
Build 2026 runs from June 2-3 in San Francisco. Here's what Microsoft is expected to announce for GitHub Copilot, Azure AI Foundry, and AI-native development.
Apple will open the doors to developers at its Worldwide Developer Conference (WWDC) next week. Beyond a big push on AI and new OSes focused on stability and performance, what should developers expect? Mostly it’s about new APIs, Foundation Models, and App Intents; here’s what I’ve been able to figure out so far.
Foundation Models
Apple has been building new Apple Intelligence APIs. One way it is achieving this is to take models made with Google Gemini, then distill and shrink them to fit inside (and run on) its devices. The progression will be to introduce these as a new crop of Foundation models developers can use in their apps. There’s more:
New APIs mean developers will be able to run Apple Intelligence tools such as summarization directly on the customer device, all offline, all private.
Developers that use Apple’s standard text editing/entry views will gain access to improved Apple-developed tools inside their apps without custom-coding.
Because intelligence takes place on the user’s device, neither developers nor users will need to pay for those AI tokens. This is a distinct cost and privacy-saving advantage for customers and developers.
App Intents: The next generation
Apple continues on its quest to convince developers to make features of their apps available for use via Siri with App Intents. Doing so requires developers to wrap their apps into semantic structures, enabling speech/text-based interaction. To help them achieve this, Apple is expected to introduce a complete redesign of its App Intents framework.
Speak as you wish
While users must say “Hey Siri” to invoke its attention today, the assistant will respond more dynamically to natural language. Combined with App Intents, that means users should be able to ask Siri to use a combination of apps to make things happen on the device.
A developer might build a travel app that can take an itinerary and hand it across to a budgeting tool, for example. The idea is that with a spoken or typed command, a person will be able to call on a collection of apps to identify the destination, create an itinerary, put together a to-do list, prepare relevant letters or emails, and assemble a budget — all invoked by the original command.
What about context?
We’re expecting Siri to become better at using the content of your screen, location, and other personal data as it seeks to provide more contextualized responses. We don’t yet know the extent or form in which Apple will make that information available to third-party developers to help contextualize their own apps. Apple’s focus on privacy matters a great deal, as does its relationship with regulators, some of whom will demand that data made available to Apple’s own apps be made available to third-party apps. These are important matters for Apple, app developers, and customers who want the convenience of AI without loss of privacy.
More consistent UI tools on Swift
Swift should get better at migrating legacy code, but the big speculation around it concerns Liquid Glass. Will Swift make it easier for developers to build consistent user interfaces that work properly across all Apple’s platforms? If it does, then it will help overcome one of the big criticisms of Apple’s liquid-inspired UI. Swift will also usher in the tools developers need to support agentic application coding.
A new Camera API means developers can build specialized, interactive buttons that users can deploy directly within the native iOS Camera interface. This should be a great way to use more sophisticated camera apps more naturally.
Wallet Pass means apps will be able to ingest things like barcodes or gym passes for use within Wallet.
Apple will abandon Intel support in macOS 27, which means developers will likely end support for legacy Intel applications in response.
After the gold rush
Once the lights go down on WWDC, Apple’s real test will be to see if its announcements help make AI useful, private, and affordable to developers and their customers. After all, if Apple gets AI right on a platform basis, it should be able to offer the kind of on-device intelligence no one else can match, at no charge to developers or users — a move that might yet kick-start AI innovation across its platforms. This will provide a moat around the Apple ecosystem, inside which developers can explore new potentials for AI to give customers the tools they need at costs they can afford.
Space & Beyond • Astronomical Event • Skywatching Alert • Related: Meteor, Fireballs and Comets Tonight, a total lunar eclipse turns the full Moon a deep copper-red — a classic “blood moon”. Despite the dramatic look (and dramatic naming), eclipses are recurrent, measurable, and predictable astronomy events, not omens. This post explains what’s happening, when […]
The fresh research explores topics such as using LLMs in image generation, quality testing, and user interface prototyping. For months, supply chain rumors have hinted at a radical evolution for the ubiquitous AirPods in the form of built-in ambient cameras. With this in mind, it’s noteworthy that one of the research papers, “From Where Things Are to What They’re For: Benchmarking Spatial–Functional Intelligence for Multimodal LLMs,” specifically seems to cater for such use cases.
Accessibility is central to a second presentation to be made during the Generative AI for Sign Language Workshop at the conference. Led by Apple’s Colin Lea, who presented a session on speech tech for people with speech disabilities at a similar event, this focus on machine vision intelligence and accessibility is entirely deliberate.
Indeed, even though the industry and critics condemn Apple for lagging behind others in the AI space, the publication of these 14 papers at a key industry session just before WWDC shows the company has been doing a great deal of foundational work behind the scenes. We expect this work to bear its first fruit at WWDC, and it is important to understand the disclosures as a power move. Apple is using the show to celebrate its strengths in AI development, and given its decade work on Apple Car, many of those strengths relate to machine vision intelligence.
Apple is so advanced in the field it is already deploying advanced models that empower consumers. Just last week, it promised to introduce a new tool called Image Explorer in VoiceOver to help partially sighted customers later this year. Among many other features, this will arrive alongside a system to let disabled users control compatible wheelchairs with spoken word commands.
Apple is pushing boundaries all the way. Its paper “VSAS-Bench: Real-Time Evaluation of Visual Streaming Assistant Models,” proves it is actively refining models to process live video instantly on consumer hardware.
What matters, the human or the machine?
The difference between Apple and its competitors is deep and philosophical. I’d argue that while others build cloud-dependent chatbots, Apple is embedding AI tools that solve real human problems in its systems.
This extends to its plans at WWDC, where it will introduce a raft of AI tools made with help from Google Gemini and a host of AI services it has developed in house. The latter will include a great many accessibility tools of the type it will discuss at the CVPR event, the beauty of which being that they will run privately and on-device. You could argue that while other tech giants are using AI to automate white-collar jobs or build a surveillance dystopia, Apple is searching for applications of machine intelligence that solve real human problems.
The company seems pretty realistic about the ongoing AI transformation. It recognizes that its own ecosystem must become a peer player in the emerging AI-augmented environment the tech industry seems intent on building.
With that in mind, Apple is willing to engage in strategic, mutually beneficial partnerships, such as permitting Siri to use third-party AI services to handle requests. But even as it does that, it is also focusing on those areas in which it can make a unique difference, such as the accessibility features Apple as a platform has always provided.
Open up
As the Vision Pro demonstrated, and as these mythical video-enabled AirPods will in the future suggest, computers are steadily getting smarter. So, the way we use them is also changing as we move away from the rigid boundaries of keyboards, mice, and touchscreens. Apple’s quest for ambient computing began long before the sudden gold rush for generative AI chatbots.
In the end, as the latter services become commodified, the way humans interact with them will define the next generation of hardware. That’s exciting for Apple, given that product design is where it excels. The era of sound and vision may finally have arrived.
The first electric Ferrari is already this year’s most divisive car. We asked three Italian auto industry professionals to explain where the EV’s design makes sense, and where it doesn’t add up.
Google’s new AI agent combed through my emails, documents, and calendar to plan a birthday party and still didn’t clock the person most important to me.
Consoles with disc drives are the easiest way to enjoy all kinds of physical media, but that could end with the next-gen PlayStation 6 and Microsoft's Project Helix.
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