It was the year 2000 and I left Abott’s Habit. A friend of mine was moving out of town and all his friends needed weed, so that’s how I started my delivery service. It was just me with a pager, seven days a week. I couldn’t keep up with all the orders. My team grew to four girls and we split profits evenly. It became more like a private club, with a password to access. Eventually a woman I had a catering company with got upset and reported me to Santa Monica Police. They came in, raided us and took everything. I went to court and had to go through the legal system. Today I have an amazing lawyer who helped us file for a delivery license in California so we can transition to the recreational market.
“Proposition 64 would allow the state to impose a 15% excise tax on the retail sale of marijuana. Also, the state would be able to levy a cultivation tax on growers of $9.25 per ounce for flowers and $2.75 per ounce for leaves. The ballot measure also would let cities and counties to impose their own taxes to cover costs of services, including enforcement.” (Patrick McGreevy, Los Angeles Times)
These guys rock! I have wanted to write them a review for a while and after my last delivery, i gotta do it. I ordered... read more before they opened and they still had my delivery at my door in 30 mins. The people are always friendly and happy to chat with me on the phone when I have questions or need advice. It's great to know there are people that genuinely care about their customers in the cannabis industry. read less
Meanwhile, Dr. Whitfill said, “At the same time, people are realizing that coming up with the algorithm is one piece, but that there are surprising complications. So you develop an algorithm on Siemens equipment, but when you to Fuji, the algorithm fails—it no longer reliably identifies pathology, because it turns out you have to train the algorithm not just on examples form just one manufacturer, but form lots of manufacturers. We continue to find that these algorithms are not as consistent as identifying yourself on Facebook, for example. It’s turning out that radiology is way more complex. We take images on lots of different machines. So huge strides are being made,” he said. “But it’s very clear that human and machine learning together will create the breakthroughs. We talk about physician burnout, and even physicians leaving. I think that machine learning offers a good chance of removing a lot of the drudgery in healthcare. If we can automate some processes, then it will free up our time for quality judgment, and also to spend time talking to patients, not just staring at the screen.”