IAmA
r/IAmA
Hi Reddit!
My name is Derek! I’ve been testing mattresses since 2014 and over the years I’ve tested 268+ different mattresses.
I am the original owner & Founder of Sleepopolis.com, where I operated it from 2014 to 2017.
In 2021, I launched a new platform at NapLab.com to test mattresses. At NapLab I developed a battery of objective & data-driven tests to analyze and score mattresses. Our testing process includes:
Thermal imagery to assess cooling / heat retention
Accelerometer to measure motion transfer
5 factor weighted equation to assess sex performance
Video / photo analysis to take precise & objective measurements for sinkage, material responsiveness, edge support, and bounce
In addition to other data-driven tests
NapLab’s aim is to create the most objective, transparent, and helpful mattress reviews so our readers can make the most informed decision about the mattress that's best for them.
Over the years I’ve convinced the best friends & family I know to come help me bring this vision to life.
I’m Stef Kight, a politics reporter for Axios covering immigration. I just got back from reporting from the El-Paso-Juarez border.
While there, I spoke to border officials, a young migrant family from Venezuela and staffers for non- profits focused on caring for migrants and asylum seekers in the El Paso area.
I decided to go to the border last week to cover the end of Title 42. For more than 3 years, this policy has cited COVID concerns to allow border officials to quickly turn back migrants who illegally cross the border — blocking them from even applying for asylum.
Government officials have been concerned that the end of the policy would trigger a massive surge in the number of people coming across the border — on top of the already historically high numbers we’ve seen recently.
Daily border crossing reached record highs leading up to the end of the policy. But in the days afterward, the numbers have declined — likely in response to new, restrictive policies put in place by Biden.
I’m ready to answer your questions about Biden border policies, Title 42, the numbers and demographics of migrants and asylum seekers, recent legislation proposed by Congress and other immigration topics.
Proof: Here's my proof!
Hi Reddit! My name is Dr. Eugene Lipov and I’m the Chief Medical Officer at Stella, an emerging leader in the research and treatment of post-traumatic stress. Today, I’m here to answer questions about trauma and the treatment options available in recognition of Mental Health Awareness Month. Ask me anything.
A little background on me – I discovered a treatment for PTSD called the Dual Sympathetic Reset (DSR). Based on a procedure called the stellate ganglion block (SGB), DSR consists of two injections of local anesthetic next to a bundle of fight or flight nerves in one side of the neck to reset the nervous system. In just 20 minutes, DSR can alleviate even the most severe symptoms of PTSD, including irritability, hypervigilance, insomnia, and more. The key is that trauma is a biological injury and should be treated as such.
I recently published a book on DSR called The Invisible Machine. Written in partnership with one of my patients, Jamie Mustard, it weaves hard science with moving patient stories in an effort to change society’s understanding of PTSD.
TW: I will be discussing subjects including trauma, mental illness and PTSD. Take care when engaging with this content.
Proof: Here's my proof!
Edit: Thank you for all of your questions so far! Unfortunately, I need to step away from Reddit for a bit, but I'll try to answer any other questions that come in throughout the day.
EDIT: That is all the time we have for today! Thank you everyone for the thoughtful questions. We'll hop back on tomorrow if there are any big, lingering questions still out there, and feel free to keep following our coverage of AI here: https://www.washingtonpost.com/technology/innovations/?itid=nb_technology_artificial-intelligence?utm_campaign=wp_main&utm_medium=social&utm_source=reddit.com
The Washington Post set out to analyze one of these data sets to fully reveal the types of proprietary, personal, and often offensive websites that go into an AI’s training data.
To look inside this black box, we analyzed Google’s C4 data set, a massive snapshot of the contents of 15 million websites that have been used to instruct some high-profile English-language AIs, called large language models, including Google’s T5 and Facebook’s LLaMA. (OpenAI does not disclose what datasets it uses to train the models backing its popular chatbot, ChatGPT).
The Post worked with researchers at the Allen Institute for AI on this investigation and categorized the websites using data from Similarweb, a web analytics company.
Read more of our analysis here, and skip the paywall with email registration:
https://www.washingtonpost.com/technology/interactive/2023/ai-chatbot-learning/
proof:
The Nones, Second Edition: Where They Came From, Who They Are, and Where They Are Going releases today.
I also wrote a book called 20 Myths about Religion and Politics in America.
My Substack is called Graphs About Religion.
Happy to answer questions you guys have about politics and/or religion.
Proof that it's me: https://twitter.com/ryanburge/status/1658542626037981186
And a photo: https://i.imgur.com/Skl4nlP.jpg
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