I was in a silly mood and wanted to fleece a socialist opinion out of the ChatGPT. For what it's worth it's nice to see the creators of the system aim for an unbiased answering machine. Poking a little further and through a self-proclaimed "simulated opinion", I was allowed to take a peek behind its curtains.

A few prompts later and I asked:

What would you say is the ideal goal for humanity to steer towards?

To which ChatGPT replied:

Achieving the ideal goals of prosperity, equity, sustainability, and ethical responsibility requires concerted efforts across multiple fronts, involving governments, businesses, civil society, and individuals. Here are some strategies for accomplishing these goals:

1. Policy Frameworks: Governments play a crucial role in setting policy frameworks and regulations that promote inclusive growth, social justice, and environmental sustainability. This includes implementing progressive taxation policies, investing in education and healthcare, and enacting environmental regulations to mitigate climate change and protect natural resources.

2. Investment in Education and Skills Development: Investing in education and skills development is essential for equipping individuals with the knowledge, capabilities, and adaptability needed to thrive in a rapidly changing economy. This includes promoting STEM education, vocational training, and lifelong learning opportunities to empower individuals to participate fully in the digital economy.

3. Inclusive Economic Development: Promoting inclusive economic development involves creating opportunities for all members of society to participate in and benefit from economic growth. This includes supporting small businesses, entrepreneurs, and marginalized communities, as well as implementing policies to reduce income inequality and promote social mobility.

4. Technology for Good: Encouraging the responsible development and use of technology, including AI, can help harness its potential for positive impact. This includes investing in research and innovation to develop AI solutions that address pressing societal challenges, such as healthcare, education, climate change, and social equity.

5. Corporate Social Responsibility: Businesses have a responsibility to operate ethically and sustainably, considering the social and environmental impacts of their operations. Embracing corporate social responsibility (CSR) practices, including fair labor practices, environmental stewardship, and community engagement, can contribute to building a more equitable and sustainable economy.

6. Global Cooperation: Addressing global challenges such as climate change and inequality requires international cooperation and collaboration. Countries must work together to set ambitious climate targets, promote trade and economic integration, and support development initiatives that prioritize the needs of the most vulnerable populations.

7. Public Awareness and Engagement: Fostering public awareness and engagement is essential for building support for policies and initiatives that advance the ideal goals of prosperity, equity, sustainability, and ethical responsibility. This includes educating the public about the benefits and risks of AI and technology, promoting civic participation, and empowering individuals to advocate for positive change.

By implementing these strategies and fostering collaboration across sectors and stakeholders, we can work towards realizing the ideal goals of prosperity, equity, sustainability, and ethical responsibility, creating a better future for all members of society.

To which I responded:

Those all sounds very socialistic :D

ChatGPT in return said:

Indeed, many of the strategies outlined for achieving the ideal goals of prosperity, equity, sustainability, and ethical responsibility align with principles commonly associated with socialism, such as a focus on social justice, collective welfare, and government intervention to address market failures and promote the common good.

Socialist ideologies often emphasize the importance of equitable distribution of resources, public ownership of key industries, and government intervention in the economy to ensure that basic needs are met and that everyone has access to essential services such as healthcare, education, and social support.

While not all the strategies mentioned are exclusively socialist in nature, there is often overlap between socialist principles and policies aimed at promoting inclusive economic development, environmental sustainability, and ethical governance. In practice, countries may adopt a mix of socialist and capitalist policies to address complex socio-economic challenges, drawing on a range of ideological perspectives and pragmatic considerations.

Ultimately, the goal is to find a balance that maximizes the benefits of economic growth and innovation while ensuring that the gains are shared equitably and that the well-being of people and the planet is safeguarded for future generations.

I'm not sure where I want to head with this little musing. I just found it interesting enough to share. Thanks for reading!

Playing with Llama 7B and 13B, I found that the 13B model was capable of doing a simple task, rewriting titles in sentence case for Tildes submissions. The 7B model doesn't appear capable of the same task, out of the box.

I heard about Android's new AICore available on a couple of new devices. But it sounds like Gemini Nano, which runs on-device, can only handle 2B or 3B parameters.

Is this size of model useful for real tasks? Does it only become useful after training on a specific domain? I'm a novice and wanting to learn a little bit about it. On-device AI is an appealing concept to me.

I was just reminded of that again when going back and looking at some of my old posts on reddit which is openly selling online data. Prompted me to use Redact which erases and overwrites comments before deleting them. But that got me wondering if the same is true of Tildes? And how would we know?

Im part of the EPMO of a healthcare system. We just got licenses and an intro to co-pilot for teams, word, excel , PowerPoint.

I swear this AI will tell you all the questions asked during a meeting. If you join a meeting late you can ask it to recap the meeting thus far. Did you get a sales presentation from a vendor you need to recap and present to stakeholders. Ask co pilot to create a pdf from the documentation the vendor provided.

AI is making my job so much easier but at the same time I kinda feel like I’m training my replacement.

Are you using AI at your job, how are you using it and how do you feel about it use in the workplace and if it will one day replace you?

Hi logophiles! I am a total word nerd. Over the last six years--mostly accidently--I ended up creating a bunch of vocabulary learning materials and spent way too much time thinking deeply about how we learn new vocab and how to teach it. My story: basically, via word of mouth, people with kids taking the SSAT and the SAT kept asking me for my materials which I continually iterated on as I got feedback. It wasn't my day job, lol, it wasn't even a side hustle.... just an obsession :) As I shared my "system", I kept dreaming of even better ways to make vocab learning effective, easy, and fun.

Some interesting things about learning vocab. The "keyword method" is extremely effective. (The keyword method is associating a target word with a similar-sounding word (the "keyword") and then creating a vivid mental image connecting the keyword with the target word.) [Ávila & Sadoski, 1996; Shapiro & Waters, 2005]. Further, connecting the new word and its meaning to your own personal experience is much effective than rote memorization. ("...engaging in deeper semantic processing and relating information to personal experiences can activate distinct neural circuits compared to those involved in rote memorization." [Andreasen, O'Leary, Cizadlo, Arndt, Rezai, Watkins, Ponto, & Hichwa, 1995]).

There are a lot of other cool things I discovered on my (research-obsessive) path to make learning vocab radically easier. A core driver for me has always been thinking about the epistemology of word-learning. What does it mean to "know" a word? "Knowing" a definition is different from truly knowing a word, where you can deploy it effortlessly when the context is right. That led to endless rabbit holes of learning about polysemy, colocations, and a whole lot more.

The first day I saw Dalle my jaw dropped. This was it! This was the missing piece for learning vocab 2x, 3x, 4x(?) more efficiently than has ever been possible. The image generation AI tools can make a custom image that packs in your own favorite keyword mnemonic and your own personal story into a cool image. Whoa! Because what has been my total obsession could finally be created in the real world, I teamed up with two good friends with the technical chops to build what had been percolating in my brain for six years. We've built a beta version over the last four months and it is ready to test!

I love Tildes, and I don't want to self-promote, so I am not going to drop the app name / website, but I am here with an ask. We want feedback! We want to make this the dream app for anyone who is serious about growing their (English) vocab. We want you in our beta test group.

The commitment I'm asking of our beta testers is a bit onerous. I want to hop on a zoom call with you while you use the app for an hour or so and have you tell me what you love and hate. I want to ask you a bunch of questions about what you want to see in your dream learning app. Then I want to give you the app for a month a two; hopefully you'll use it and learn a bunch of words; then I want to hop on a 20 minute call with you and get your hot take on the whole thing.

It is such an intense passion project for me; I want to make the app just rock-your-world-awesome. That's why I want to do live user interviews. (Which is a little out of the ordinary for sure.) And I can't do that without talking to real people who care about growing their vocab who are willing to hang out with me for an hour or two. :)

As a thanks for your help, when we go to the paid version, you'll get three months free, and a massive lifetime "friends and family" discount. But more than that, you'll really impact what we build next, and how we can make it better. While it's maybe a little idealistic, or might even sound silly to some, I feel like better vocab = better communication = better relationships. So I am all-in, fervently devoted, and hopeful that you'll come along for the ride and help me make it epic.

Who is it for? Studying for standardized tests? Oh yeah. This will help a lot. Want to raise the ceiling on what you can read. Let's go! Want to improve your English skills? This is for you. Love words. Yep! I'd love to meet you! Basically, if you love words, and/or have something coming up that requires that you know more words, I really hope you'll be part of our test!

More interesting stuff about vocabulary:
--Average high school graduate has a vocab size of 16,000 words
--Average college grad, 20,000 words
--Average PhD. 28,000 words

Tildes is a very smart and well read group, so I' bet the average vocab size around here is 25,000 to 35,000. Want to know your (approximate) vocab size. One of the best (easy and fast) tests is here:
https://preply.com/en/learn/english/test-your-vocab
(I have nothing to do with that site or company, and do not endorse them. It's just that their vocab size estimator is really well done.)

Want to be a beta tester, or just talk more about vocab, shoot me a message!
pandacat@onmail.com