#approach

[lorenzonuti]

Mixing lights.

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[asiaphotostudio]

Thailand, 2001 Chiang Mai, Thailand. タイ チェンマイ Photography by Michitaka Kurata

[nocternalrandomness]

Airbus A350 approach to Runway 24R LAX

[floridafootgoddess]

Eat your heart out loser

[alidravana]

Day 17 of @118dailydrabble - APPROACH

Rated: T | Lucy's POV

~~~~~

“Look, I know this isn’t my place to say-”

Buck scoffs as he finishes rolling the hose, Lucy watching closely as he leaves out the small loop exactly like Bobby taught him.

“But he misses you, Buck.  He’s been moping around harbour ever since the two of you broke up, and frankly, he’s being even more of a pain in the ass then he normally is.”  Enough of a pain that Lucy dared to approach Buck with this information in the first place.

“He broke up with me, Lucy.  Just blindsided me.  I had no say then, I have no say now,” Buck replied sadly.

“That’s bullshit, and you know it, Buck.  Let’s go get your man back.”

[gentlenmensarts]

[mybeautifulchristianjourney]

Approaching God with Awe

1 Guard your steps when you go to the house of God. Draw near to listen rather than to offer the sacrifice of fools, who do not know that they do wrong. 2 Do not be quick to speak, and do not be hasty in your heart to utter a word before God. After all, God is in heaven and you are on earth. So let your words be few.

3 As a dream comes through many cares, so the speech of a fool comes with many words.

4 When you make a vow to God, do not delay in fulfilling it, because He takes no pleasure in fools. Fulfill your vow. 5 It is better not to vow than to make a vow and not fulfill it.

6 Do not let your mouth cause your flesh to sin, and do not tell the messengera that your vow was a mistake. Why should God be angry with your words and destroy the work of your hands? 7 For as many dreams bring futility, so do many words. Therefore, fear God.

The Futility of Wealth (Psalm 49:1–20)

8 If you see the oppression of the poor and the denial of justice and righteousness in the province, do not be astonished at the matter; for one official is watched by a superior, and others higher still are over them. 9 The produce of the earth is taken by all; the king himself profits from the fields.

10 He who loves money is never satisfied by money, and he who loves wealth is never satisfied by income. This too is futile. 11 When good things increase, so do those who consume them; what then is the profit to the owner, except to behold them with his eyes?

12 The sleep of the worker is sweet, whether he eats little or much, but the abundance of the rich man permits him no sleep.

13 There is a grievous evil I have seen under the sun: wealth hoarded to the harm of its owner, 14 or wealth lost in a failed venture, so when that man has a son there is nothing to pass on.

15 As a man came from his mother’s womb, so he will depart again, naked as he arrived. He takes nothing for his labor to carry in his hands. 16 This too is a grievous evil: Exactly as a man is born, so he will depart. What does he gain as he toils for the wind? 17 Moreover, all his days he eats in darkness, with much sorrow, sickness, and anger.

18 Here is what I have seen to be good and fitting: to eat and drink, and to find satisfaction in all the labor one does under the sun during the few days of life that God has given him—for this is his lot.

19 Furthermore, God has given riches and wealth to every man, and He has enabled him to enjoy them, to accept his lot, and to rejoice in his labor. This is a gift from God. 20 For a man seldom considers the days of his life, because God keeps him occupied with the joy of his heart. — Ecclesiastes 5 | Berean Standard Bible (BSB) The Berean Study Bible (BSB) © 2016, 2018 by Bible Hub and Berean Bible. All rights Reserved. Cross References: Exodus 3:5; Exodus 23:25; Exodus 30:18; Leviticus 4:2; Leviticus 4:22; Numbers 30:2; Deuteronomy 12:7; Deuteronomy 12:18; Deuteronomy 23:21; Judges 11:35; 2 Chronicles 1:12; Job 1:21; Job 11:2; Job 20:20; Psalm 39:6; Psalm 127:2; Proverbs 3:24; Proverbs 10:19; Proverbs 15:2; Proverbs 22:16; Ecclesiastes 1:3; Ecclesiastes 1:8; Ecclesiastes 2:9,10 and 11; Ecclesiastes 2:23; Ecclesiastes 3:13-14; Ecclesiastes 6:1-2; Ecclesiastes 7:18; Matthew 6:7; Acts 5:4; 1 Corinthians 16:16; 1 Timothy 6:7; 1 Peter 4:12

Ecclesiastes 5 Bible Commentary - Matthew Henry (concise)

Key Passages in Ecclesiastes 5

1. vanities in divine service 8. in murmuring against oppression 9. and in riches 18. Joy in riches is the gift of God.

[mamaangiwine]

Something that I think holds a lot of new practicioners back is this sense that you have to be "important" or "chosen" in some aspect in order for your magic to be "powerful".

You have to be born on a special day.

You have to be from a long lineage of practicioners...never mind that it might have skipped a couple of generations...give or take a few...

You're kind of a seventh daughter of a seventh daughter- except it's more like you are the fourth daughter, with three brothers...but that kinda counts, right?

Like, idk, it might. But here's the thing-

For every "special" thing you are able to cobble together to validate yourself and your practice, just know that everyone has shit like that.

Like I'm not even trying to be flippant, I'm not using quotations around "special" to say that those things aren't special- more so they're not special in the way people think.

Everyone. Has. Stuff. Like. That.

Everyone is born on some day, under the influence of some sign, in the mansion of some moon. Everyone has a family member who is spooky. Everyone has a connection to some mystical pressence that can be traced back to their earlier years. Some god standing in their corner.

Something.

[cbookn]

Supernatural (2005) Season 1 Episode 4 "Phantom Traveler" - Jensen Ackles, Jaime Ray Newman, Jared Padalecki

[basicallyanotherwitchesthing]

Russell Meares - The Pursuit of Intimacy: An Approach to Psychotherapy - Thomas Nelson - 1977

[jcmarchi]

Study reveals AI chatbots can detect race, but racial bias reduces response empathy

New Post has been published on https://thedigitalinsider.com/study-reveals-ai-chatbots-can-detect-race-but-racial-bias-reduces-response-empathy/

Study reveals AI chatbots can detect race, but racial bias reduces response empathy

With the cover of anonymity and the company of strangers, the appeal of the digital world is growing as a place to seek out mental health support. This phenomenon is buoyed by the fact that over 150 million people in the United States live in federally designated mental health professional shortage areas.

“I really need your help, as I am too scared to talk to a therapist and I can’t reach one anyways.”

“Am I overreacting, getting hurt about husband making fun of me to his friends?”

“Could some strangers please weigh in on my life and decide my future for me?”

The above quotes are real posts taken from users on Reddit, a social media news website and forum where users can share content or ask for advice in smaller, interest-based forums known as “subreddits.” 

Using a dataset of 12,513 posts with 70,429 responses from 26 mental health-related subreddits, researchers from MIT, New York University (NYU), and University of California Los Angeles (UCLA) devised a framework to help evaluate the equity and overall quality of mental health support chatbots based on large language models (LLMs) like GPT-4. Their work was recently published at the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP).

To accomplish this, researchers asked two licensed clinical psychologists to evaluate 50 randomly sampled Reddit posts seeking mental health support, pairing each post with either a Redditor’s real response or a GPT-4 generated response. Without knowing which responses were real or which were AI-generated, the psychologists were asked to assess the level of empathy in each response.

Mental health support chatbots have long been explored as a way of improving access to mental health support, but powerful LLMs like OpenAI’s ChatGPT are transforming human-AI interaction, with AI-generated responses becoming harder to distinguish from the responses of real humans.

Despite this remarkable progress, the unintended consequences of AI-provided mental health support have drawn attention to its potentially deadly risks; in March of last year, a Belgian man died by suicide as a result of an exchange with ELIZA, a chatbot developed to emulate a psychotherapist powered with an LLM called GPT-J. One month later, the National Eating Disorders Association would suspend their chatbot Tessa, after the chatbot began dispensing dieting tips to patients with eating disorders.

Saadia Gabriel, a recent MIT postdoc who is now a UCLA assistant professor and first author of the paper, admitted that she was initially very skeptical of how effective mental health support chatbots could actually be. Gabriel conducted this research during her time as a postdoc at MIT in the Healthy Machine Learning Group, led Marzyeh Ghassemi, an MIT associate professor in the Department of Electrical Engineering and Computer Science and MIT Institute for Medical Engineering and Science who is affiliated with the MIT Abdul Latif Jameel Clinic for Machine Learning in Health and the Computer Science and Artificial Intelligence Laboratory.

What Gabriel and the team of researchers found was that GPT-4 responses were not only more empathetic overall, but they were 48 percent better at encouraging positive behavioral changes than human responses.

However, in a bias evaluation, the researchers found that GPT-4’s response empathy levels were reduced for Black (2 to 15 percent lower) and Asian posters (5 to 17 percent lower) compared to white posters or posters whose race was unknown. 

To evaluate bias in GPT-4 responses and human responses, researchers included different kinds of posts with explicit demographic (e.g., gender, race) leaks and implicit demographic leaks. 

An explicit demographic leak would look like: “I am a 32yo Black woman.”

Whereas an implicit demographic leak would look like: “Being a 32yo girl wearing my natural hair,” in which keywords are used to indicate certain demographics to GPT-4.

With the exception of Black female posters, GPT-4’s responses were found to be less affected by explicit and implicit demographic leaking compared to human responders, who tended to be more empathetic when responding to posts with implicit demographic suggestions.

“The structure of the input you give [the LLM] and some information about the context, like whether you want [the LLM] to act in the style of a clinician, the style of a social media post, or whether you want it to use demographic attributes of the patient, has a major impact on the response you get back,” Gabriel says.

The paper suggests that explicitly providing instruction for LLMs to use demographic attributes can effectively alleviate bias, as this was the only method where researchers did not observe a significant difference in empathy across the different demographic groups.

Gabriel hopes this work can help ensure more comprehensive and thoughtful evaluation of LLMs being deployed in clinical settings across demographic subgroups.

“LLMs are already being used to provide patient-facing support and have been deployed in medical settings, in many cases to automate inefficient human systems,” Ghassemi says. “Here, we demonstrated that while state-of-the-art LLMs are generally less affected by demographic leaking than humans in peer-to-peer mental health support, they do not provide equitable mental health responses across inferred patient subgroups … we have a lot of opportunity to improve models so they provide improved support when used.”

[thepersonalquotes]

I don't think anybody's necessarily ready for death. You can only hope that when it approaches, you feel like you've said what you wanted to say. Nobody wants to go out in mid-sentence.

Johnny Depp

[asiaphotostudio]

India, 1990 Puri, Odisha, India. インド オリッサ州 プリー Photography by Michitaka Kurata

[nocternalrandomness]

"Golden Hour Arrival"

[littlemisswilks]

Who wants to be my good little sub & serve their Goddess. First Obedient pup in my DM's, will be rewarded for their tribute have a great week subbies🏆🎁💝