Beacon Raises $225M for Its AI-Powered Software Rollup
Toronto-based Beacon closed a $225M Series C to expand its AI-native platform across software companies in education, finance, and logistics.
Google AI Blog·
University of Waterloo students develop AI prototypes like sign language tutors to reshape the future of education and work.
Read full articleToronto-based Beacon closed a $225M Series C to expand its AI-native platform across software companies in education, finance, and logistics.
AI tutors like Koji are transforming education by enhancing problem-solving skills without replacing teachers. The post Sue Khim: Student debt must be addressed at its core, parents demand essential skills in education, and AI should enhance learning, not replace teachers | TWIST appeared first on Crypto Briefing.
It’s decades since the former US first lady was an employee. The world of work she grew up in has long gone Uh oh, Michelle Obama has been advising gen Z on navigating work. “One thing that’s important is to learn how to do something you don’t like to do and be good at it,” she told the audience at a podcast recording in London. “Every experience – the bad boss, the boring assistant job, the job you thought that you weren’t appreciated, the one that didn’t give you the assignment you wanted when you wanted it – all of that is learning to be resilient.” The podcast is called IMO, and she is entitled to her opinion, and it’s true that awful bosses, crap jobs and professional setbacks are inevitable, unpleasant learning experiences. Plus, Obama has navigated exceptionally tricky circumstances and put up with endless unjustified flak – she has plenty to teach everyone about grace under pressure. But there’s an implicit criticism of gen Z workers in her words. You see that a lot (they’re un
I’ve seen a lot of promising AI prototypes fall apart after launch. And it’s rarely because the model was bad. More often, the problem starts much earlier; teams treat the data layer like something they can figure out later. They’ll spend weeks fine-tuning prompts, testing models and debating evaluation scores, then throw together the retrieval pipeline over a weekend and move on. At first, everything looks great in demos. But a few months later, the system gives outdated answers; the embeddings no longer match the source documents, and nobody fully understands what changed. What started as an impressive prototype slowly becomes difficult to trust in production. The teams that avoid this tend to realize one thing early: Embedding pipelines are fundamentally a data engineering problem, not an entirely new AI discipline. It’s still ETL (Extract, Load, Transform) at its core, but with embeddings and vector stores as the destination instead of a warehouse. Once you start looking at it that
The city and the chamber of commerce, along with workforce, business and education folk, are planning the Haverhill AI Summit in June. It is intended to help attendees become aware of and prep for AI.
As AI spreads through classrooms, the only question that matters is whether it strengthens or shortcuts learning.
On May 26, 11:30 AM EDT, 4:30 PM BST, Litera in partnership with Artificial Lawyer will be holding a vital webinar on legal education and ...
The new features could be handy for customer service systems, but OpenAI says they have applications that work across a variety of other fields, including education and creator platforms.