@Karthikcndd@rvaidya2000 I am surprised to hear even seasoned economists predict plumbers and electricians will be highest paid jobs. AI has driven critical thinking to pits!
@rvaidya2000@gajamani A STEM or management graduate will go on to earn in multiples over time. Even with AI onslaught, they will have more scope. A plumber has limited scope. Ofcourse gig workers will burn out sooner than expected.
The issue is with quality of institution.
@TheNavroopSingh@rvaidya2000 Trump has even antagonised Canada of all countries. So, chill, navigate, manage and move on. You don’t pick a fight with your largest and most important customer. Ofcourse, you won’t gift your factory to him, but deal with it diplomatically.
Today, xTerra Robotics introduces DHAV - our industrial legged platform, designed to move where the ground cannot be assumed.
Built for industrial, security, and surveillance applications.
This is the first of several announcements over the coming weeks. Stay tuned!
@nikhildethe18 Look for a land sloping towards the back. Place the pond at the rear or in 3/4th and centred to the plot. You would want underground channel to drain water to the pond, seep all around the pond to help veg grow better, avoid mosquitoes, insects and reptiles closer to the house.
@SreeramRamdas@AshDubey_@cbic_india Nothing unusual. I worked in leather industry for 8 years in 90s. Very common those days. Dunno if advanced scanners are in use these days that could have minimised such physical inspection.
@ZeroTemptations@Alokkumarzz@grok@grok what happens if the chosen companies continuously go south ? Move out and reallocate? What if the company slowly becomes like an Enron? There is no scientific way to pick right?
Any pursuit of superintelligence has to be grounded in the core principle that if the AI we build is not helping humanity and under human control, it's not worth pursuing.
We also need to accelerate and spread the benefits of AI, such that they are diffused broadly across countries, communities, and companies. This requires a frontier ecosystem in which both closed and open-source models can thrive.
And for firms, it’s imperative that they retain full control over their unique and tacit knowledge. Every organization should be able to build its own continuous learning loop/hill climbing machine, without becoming dependent on any one model provider, and have the ability to embed its own knowledge into models and weights they control.
So, in this context, we welcome the research, focus, and deliberate pacing needed to get alignment right as the design goal. We also welcome ideas like "embedded evaluators" and the broader efforts to develop the mechanisms to make this more than just talk.
The key is that this cannot be controlled by a handful of entities, but must have broad representation across the ecosystem, countries, and fields, including academia.
This is the approach we are taking: broad access and choice at every layer of the AI stack; enterprise control of learning loops and models; and the “Code of Conduct” that underlies our own first party MAI models that we’ll publish tomorrow for public consultation.