https://bmcmedicine.biomedcentral.com/articles/10.1186/s1291...
2,754 karma · joined July 25, 2013
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https://bmcmedicine.biomedcentral.com/articles/10.1186/s1291...
"Sedentary screen time Sedentary screen time is calculated in hours per week, adding together the participants’ answers to the questions ‘In a typical DAY, how many hours do you spend watching TV?’ (FC: 1070) and ‘In a typical DAY, how many hours do you spend using a computer? (not including time using a computer at work)’ (FC: 1080)."
https://bmcmedicine.biomedcentral.com/articles/10.1186/s1291...
1. What do we do for family members embedded in the Apple, Google, Microsoft ecosystems? 2. How do we help move our companies and non-tech colleagues off of Windows and the Microsoft cloud behemoth?
Similarly, companies won't generally elect to weaken their bargaining position with employees, such as paying higher wages, reducing working hours, providing PTO or fair hiring/firing practices.
One of the main purposes of government is to represent the will and interests of the general person, whether that's internationally or in collaboration with the companies that provide jobs.
As a student I've previously sat on a couple of mailing lists for the academic benefit of learning from some really smart/dedicated people. Joining and participating is open and just requires you to sign up. The signup link is on the announcement page above ^
It's a good thing to try to be so generous with supporting an exit over values alignment. It's unfortunate, though not surprising, for Armstrong to want Coinbase to be like other for-profit financial firms -- quietly amassing wealth and influence vs. noisily in the spotlight.
https://arxiv.org/abs/2007.03970 https://arxiv.org/abs/1802.09941
Efficiency and resource cost is the big question though. You don't pay for the electricity or part wear that you don't use, and home computers or workstations may not be as efficient at performing a training run vs a task-specific setup. AI@home might end up costing even more, and increase the footprint of the model more, than doing it all together.
Part of the magic really needed is finding simpler ways to achieve the same levels of model robustness.
Amazon getting the sales reduces income to anyone else selling, and when Amazon is almost the only place to sell, smaller companies will go under and new ones will have a harder time starting.
It would be wonderful to see more free and open innovation and investment in a couple of bleeding-edge tech centers in Germany. A lot of the big internationals are in Munich and Berlin is slowly growing steam for startups, but it's a disappointment to me that there's so many Germans with so much wealth prime for investment and creating a culture of exploration, but instead it sits in real estate or something.
Someone buying a refurbished powerbank, for example, may end up lighting something on fire because it was repaired incorrectly.
Yes it'd maybe be on the manufacturer of a replacement regulator if an insulin pump was 3rd-party repaired and failed, but would it maybe be safer to say that the device should be modified or repaired only within its certified supply chain?
There's CE and UL listings for communications and electrical devices to in part protect consumers against poor manufacturing leading to irradiated or electrocuted people.
Could we agree that there's a difference between a bushing and a microcontroller?
Whether a phone or watch generally is one of those sorts of products though is certainly something to debate.
Even if you could double your customer support resources, it means a very different structure and needing to ensure you both hire in the same quality of employees up and down the escalation chain as well as adapt your organization to handle the vastly larger communication and problem resolution processes.
Noe of that is trivial and it's quite easy to take a great org and make it terrible by just adding a bunch of people.
Open offices are crazy cheaper, and most retail developers don't build real offices anymore (and or when they renovate a commercial property pull all these walls out).
It is about cost, for anywhere I've worked or any clients I worked for. I haven't ever known a manager that wanted an open office to control or oppress their staff.
This is (mostly) why new occupancy tech exists as well btw -- the "crotch sensors". Not usually for specific employee surveillance, but to map occupancy trends and determine what parts of a space can be hot-desked or otherwise over-assigned to further reduce space requirements.
It's difficult for academic labs to keep up, actually.
Whilst modern economics and the startup model makes it easier for companies to let startups do the actual idea testing (and then buy up the successful experiments), there's a ton of companies that are still driving entire industries with their corporate-funded research.
We should also probably note that a lot of the funding for some very successful academic labs comes from these large corporations as well.
Every Millennial is an adult, as are many Gen Z'ers, and these plus the first all-21st century generation are going to have come to expect emoji to exist and existed in digital spaces where emoji are a part of the jargon.
Why would it make sense for Reddit to force these people to communicate less completely than they are used to doing?
I think a lot of folks think franchise auto dealers or traveling Hoover reps when they think about "selling". I've always found that sort of "get someone to give me their money for something no matter what" process is better equated with "hustling".
I have a few great relationships with real salespeople through my work, and for them it's about lining up their products with the people that truly need them for the price the products need to sell at.
I've tried to learn that as a lesson for self-advocacy and network building as well. I actually don't mind a cold call on LinkedIn from someone where our work might really benefit each other.
(To be sure, I get your point. But I think this anecdote might be a little bit your own barriers to that route as well as recruiters just spamming people that match keywords.)
Those peculiarities are part of the yet-to-be-discovered solutions, not just annoying barriers to adopting existing products.
This would be difficult still without fine-detail geographic bounding via maybe Bluetooth and likely very expensive to retrofit into existing systems, but would also still protect other private individuals’ privacy and security. Released footage could still be masked, for example, and access and use encouraged to be more directly audited.
Section 5, the proposed CryptoCam, is to me the most concerning. The proposed solution would use location-awareness communicated from a recording subject's digital proxy in order to collect encryption keys to later access footage that they may have been a subject in.
This gives a person access to:
1. The biometric information of private individuals, based only on their proximity to those individuals (faces are incredibly sensitive information) 2. Any intellectual property or sensitive information that may have been visible during the period that they passed through a space.
Someone intending to perform an illicit activity need only wander through a space and receive the exact perspectives and resolutions of existing cameras in order to summarily defeat the protective capabilities of that video surveillance deployment.
There's so many new ways a system like this can be abused, and the proposed setup doesn't reduce any existing abuse vectors.
2 additional concerns:
There exists with video surveillance today an understanding that one or more agent is watching, recording or analysing footage, and that footage may exist for some period of time. Benefits of video surveillance may include deterring illicit activities, particularly when the location and perspective of cameras is generally but not specifically known.
3.2 suggests a framework for access, but I do not, at first read, understand a change being proposed from what is currently industry standard practice; access to recorded footage is generally need-based and restrictive.
3.3.1 suggests new mechanisms for exposing some of this information (active vs passive monitoring, whether recording exists). I mention it above but the partial Panopticon effect is one of the main reasons video surveillance has a deterring effect.
The Technical Security team is responsible for implementing technology solutions to improve the physical security of Tesla's people, places and intellectual property. We're growing our internal team to evolve our physical security infrastructure and invent new ways to solve some very old questions; this role will be central to the success of that mission.
I'm currently looking for someone with experience in designing/building/programming physical security systems (access control, video surveillance, intrusion detection, etc.) and server/network administration. The role will be based in our similarly developing Berlin offices and support work across EMEA and the global company.
Please give the listing a look for a better idea of what your day-to-day might look like. If you think you'd be a good match please drop us a resume; we're reviewing new submissions regularly over the next few weeks while we start interviewing candidates.
The two courses are well-structured. Each course has an overall outline listing each lesson, and each lesson has a table of contents to overview the topics therein. The courses highlight major key topics in technical writing and does so with easy-to-internalize (tenets). I'd have loved for my university coursework to be so clearly organized.
Some highlights include defining your audience[1], engaging your audience[2] and reviewing how short and clear sentences improve comprehension[3].
1: https://developers.google.com/tech-writing/one/audience#defi...
2: https://developers.google.com/tech-writing/one/active-voice
3: https://developers.google.com/tech-writing/one/short-sentenc...
If you're on a narrow format it looks like that table of contents is set into the top of the article below the lesson title.
If you show infection, death and recovery rates, you have to provide context and help people understand what a thing means.
1-10 scales can make parsing difficult (3 and 4 have the same description right now, for example). Governments, militaries and emergency aid orgs put a lot of effort into color and coding systems.
Give Peter Sandman a Google, and check out his site here:
He's an expert in how to talk about scary, hard-to-visualize things (like a viral pandemic).
Also, how old is the data being drawn from, what algorithm do you use to de-conflict the sources, and how do you disclose this to your audience (other than the general about page)? If a source has different refresh rates for countries that it tracks, how are you reflecting that to your audience?
A note, China is missing from your nifty "First 20 days" graph, which maybe you should just call "First 20 days after 200 cases" or something like this to make it clearer what's being tracked.