I wonder how companies like superhuman and other AI-spiced email clients are keeping up against the fact that every LLM provider has direct integration with gmail and co
Chrome 146 includes an early preview of WebMCP, accessible via a flag, that lets AI agents query and execute services without browsing the web app like a user.
Services can be declared through an imperative navigator.modelContext API or declaratively through a form.
> senior backend dev tells we built an agent
> ask dev if its a llm workflow or an agent loop
> they dont understand
> pull out diagram from anthropic's blog explaining diff betwn llm workflow and agent
>they laugh "it's a good diagram sir"
>look inside
>its a fucking workflow
We’re releasing TranslateGemma, a new family of open translation models with support for 55 languages. 🌐
Available in 4B, 12B, and 27B parameter sizes – they’re designed for efficiency without sacrificing quality.
Joint Statement: Apple and Google have entered into a multi-year collaboration under which the next generation of Apple Foundation Models will be based on Google's Gemini models and cloud technology. These models will help power future Apple Intelligence features, including a more personalized Siri coming this year.
After careful evaluation, Apple determined that Google's Al technology provides the most capable foundation for Apple Foundation Models and is excited about the innovative new experiences it will unlock for Apple users. Apple Intelligence will continue to run on Apple devices and Private Cloud Compute, while maintaining Apple's industry-leading privacy standards.
1 in every 5 founders I meet in the Bay Area is building an observability platform for agents. There are so many observability platforms, yet the least mature part of building an agent is still telemetry. Everyone is trying to solve the wrong problem with observability.
Visibility is the easiest piece. The hard part is analyzing and understanding what you’re observing. I’ve spoken to teams recording 100k+ traces every single day. What are they doing with those traces? Literally nothing. Because it’s impossible to read and summarize 100,000 traces at any human scale.
So stop vibecoding those stupid dashboards, and how about you re-center the problem from first principles?
I’m hiring one [AI builder / Prompt engineer / Model whisperer] in Milan (italy), who should I talk to and consider?
Not appealing as Logan but I swear it’s good lol