Full Title: ⚙️ New Type of Model Patches AI’s Big Weakness
Highlights
On Tuesday, Celonis announced the Celonis Context Model, or CCM, which can act as a digital twin of your business operations and dynamically update in real time. The idea is to create a context layer in your organization that is much smarter and more adaptable than just a knowledge graph or an MDM system. (View Highlight)
Now packaged as Gemini Intelligence on Android, on Tuesday, Google introduced several AI features that will roll out in waves to users, starting with the latest Samsung Galaxy and (View Highlight)
“Gemini Intelligence is essentially a suite of features that brings the best of Gemini on our most advanced devices,” Mindy Brooks, VP of Product for Android, told The Deep View in an exclusive interview. “So with Android fundamentally evolving from an operating system to an intelligence system, your device can truly understand you, work to translate your intention into action.” (View Highlight)
A prime example is Brook’s favorite feature, Rambler, built directly into Gboard to better interpret voice dictation and convert it to text more quickly and accurately. For instance, it will ignore distractions such as “ums”, “likes”, and self-corrections and instead keep the relevant parts to compose the message. It can also seamlessly switch between multiple languages. (View Highlight)
From its description, it sounds very similar to Wispr Flow, a tool that has gone viral for the ease it gives users for voice dictation, except that Google’s alternative would have a major advantage in native integration. Wispr Flow is great on Mac but isn’t as good on Android and iOS due to limited integration. (View Highlight)
The Task Automation feature, which garnered a ton of attention in January, at the launch of the Samsung Galaxy S26 lineup (and also available on the Pixel 10) for actually taking action for you within your apps, is getting an expansion. While the details remain vague, it will apparently be able to do more for you across more apps, as well as take your screen or an image into context. (View Highlight)
On Tuesday, several Hollywood stars formed an alliance backing a new standard that gives actors more control over how their likeness is used by AI systems. The protocol, called the “Human Consent Standard,” allows people to set terms for the use of their work or license within AI systems, ranging from restricting use entirely to allowing full, unlimited permissions. (View Highlight)
The standard was launched by RSL Media, a nonprofit co-founded by actress Cate Blanchett, which has received support from a number of high-profile actors, including Viola Davis, Kristen Stewart, Tom Hanks, Meryl Streep and George Clooney. (View Highlight)
The standard is essentially embedded into the underlying digital work, identity or character wherever it appears, requiring web and AI crawlers to check that piece of IP against a registry that’s launching in June. RSL Media then translates those terms into signals that an AI system can understand. (View Highlight)
“AI technologies are expanding rampantly, essentially unchecked and unregulated,” Blanchett said in a statement. “In order for humans to remain in front of these technologies, consent must be the first consideration.” (View Highlight)
AI in the entertainment industry is essentially the ouroboros. A vast proportion of creators are rebelling against it, for fear that it could rob them of their livelihoods. That, in turn, could worsen the AI models themselves, which feed on high-quality art to create their own mimicry and constantly need new data to stay current. On the flip side, if AI does manage to put artists out of work, the models will worsen without authentic training data to learn from. Either way you cut it, it’s a lose-lose situation. While there are responsible ways to use AI in any industry, in entertainment, the people most directly affected are asking that human creativity and control be prioritized. (View Highlight)
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