Cool, so you're fundamentally reactionary:
(AI discourse below, you have been warned)
(the part below it says something about "the torment nexus)
If you think the books from 1984 are the torment nexus, or even a large contributor to the dystopia and not say, extreme censorship leading to those books that are made by machines that have STRICT rules about what can be written and produce NOTHING deemed "unacceptable" then I don't think you actually read 1984.
It's almost as if they have symbolic meaning and "machine book bad" isn't actually the full point.
And don't get me wrong, I don't personally like AI books. But about the only censorship that's occurring is of sexual content, and given that sexual AI text generators exist I think that's a moot point. If you're so concerned about society becoming "literally 1984" though, maybe focus more energy on stuff like Patreon and Gumroad's bans of (certain) nsfw content, on legislation within your state attempting to ban or restrict access to literature on queer identity and racism, and so on?
I'm not saying the people whining about AI aren't also doing that, but I am saying that wasting time on AI that could be used on stuff that actually matters isn't smart, because a world where AI generated texts exist alongside all manner of human-made ones is nowhere fucking close to 1984 and y'all need to either get a grip or keep weeping.
Also bonus:
Cool, cool. How much of your dislike of AI then comes from just having a squick around certain types (especially since as AI tech improves, I highly doubt you're having this reaction to every single image - at least, you're either "reacting" to stuff that ISN'T AI based on a shared art style and a guess that it is AI, and/or you're not reacting to all AI images because there's some you miss and think are not AI) and how much from fundamentally fascist ideas about what "real art" is or culturally christian ideas about how "real art" requires "hard work" or has "no soul" without a human touch.
I really need to filter AI discourse myself because I'm getting so tired of seeing the same indistinguishable-from-conservative-arguments-about-art about AI.
Especially the ableism and leaning into inspiration porn as proof that all disabled people CAN do art without using AI - or if not inspiration porn, insisting that any medium puts on a surface counts as art and people who can't do art in the way they want should just make basic fingerpaintings or scribbles and be happy they created something, which is WILDLY patronizing. There's nothing wrong with fingerpaintings or scribbles ofc, but gods don't act like that's enough for most people or even the reason people are engaging with art.
And for that matter stop moralizing people who engage with art for an end product rather than the process because reacting to "art is always about the end product" with "art is never about the end product" is just the same problem in reverse! It's almost as if the actual issue with either statement is in fact the idea of a "right way" to engage with art!)
Anyway it's not like the squick/trigger isn't valid but like. You clearly have not examined your biases or how your dislike of a type of image informs your reactionary beliefs towards it. Also, your actual issue seems to be that people aren't properly tagging their posts that contain AI images (and listen, I do have some sympathy for not being able to filter just "AI" as it would filter every post that has any word with letters in those order, possibly even that has letters in between judging how "a/e/mogai" filters "accessmogai" for us).
But I mean, people improperly tagging and poor filtering abilities aren't actually about AI. It's about this site's hostility to attempts at curating your own experience, despite being one of the better sites out there for it, and about people not doing anything to get around that.
Mind you, there's a solution that involves AI itself - if AI has a tag denoting that it is such in the metadata, and sites have a toggle that allows you to filter that tag so it's blurred or blocked altogether, much like they currently do for "adult content", then you'd never have to see AI again. Hell, the site could make the toggle only for stuff that had a "community label" or tag of AI and let users determine that - although with how many human artists have been accused of their art being AI, I think that's probably a really fucking bad idea.
Anyway, I'm tagging this as aicourse. I also struggle to filter shit takes like the screenshots above because no one is fucking tagging "ai hate" or "ai discourse" or anything, so again, I get the annoyance at not being easily able to filter it. I just think the latter person is a huge fucking hypocrite for not making their tired takes about AI filterable for everyone too, especially if it's because they think it's all "stupid brainwashed techbros" (wow, that's a lot of ableism*) that are for or neutral on AI.
*The amount of ableism and downright cruelty I've seen even towards people who have fallen for actual scams like NFTs and cryptocurrency, basically treating them the same shitty way you treat people with intellectual and cognitive disabilities with a heaping scoop of the shitty way you treat people who have been manipulated, radicalized, and even survived cults or cult-adjacent groups, is really fucking gross. And as somesys who hated NFTs and cryptocurrency at the height of their popularity, it's certainly made me feel unsafe as victims of manipulative abuse and survivors of cult-adjacent harm, it's made us feel really fucking unsafe!
Do you even actually care about how your rhetoric impacts vulnerable people, or is hating or clowning on a random bit of tech more important to you than that? Well, it's not either/or, because you could literally just actually think critically about the things you're saying and decide to use actual arguments that don't send out shrapnel leaving a bunch of collateral damage in their wake. I'd still disagree with it, but quite frankly even if I think you've chosen the wrong target, I can get behind hating.
Even if it's just for hating's sake, or if it's not, I find hating not related to identity/people to be a perfectly acceptable and even enjoyable pastime for plenty of people. It's just that you kind of fucking need to make sure you AREN'T still hurting people about it, directly or indirectly. Like when I hate on rayon sheets because their texture makes me want to peel my skin off, I'm not making it the problem of people who can only afford that or who like them or who are forced because of fast fashion to keep getting them or w/e.
Idk this has devolved into a personal vent but like. I'm gonna go make a post now about how shitty people are about people who are literally victims of scams and cults and such bc. Y'all fucking suck.
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Mentorship and Support Systems in Malaysia's Data Science Courses
Introduction:
Recognizing the need for guidance and support, many educational institutions in Malaysia have prioritized mentorship and robust support systems as integral components of their data science courses. This article explores the significance of mentorship and support structures in Malaysia's data science education landscape, shedding light on how these elements contribute to the success of aspiring data scientists.
The Importance of Mentorship:
Guidance Through the Learning Curve:
Role: Mentors provide valuable guidance to students navigating the complexities of data science concepts and technologies.
Impact: This support helps students overcome challenges, ensuring a smoother learning curve.
Industry Insights and Networking:
Role: Mentors, often industry professionals, offer insights into real-world applications and facilitate networking opportunities.
Impact: Students gain a practical understanding of the industry, fostering connections that can prove instrumental in their professional journey.
Career Development:
Role: Mentors assist in shaping career goals, providing advice on skill development and career paths.
Impact: This mentorship extends beyond the classroom, empowering students to make informed decisions about their future in the field.
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Support Systems Beyond Mentorship:
Peer Learning Communities:
Role: Collaborative learning environments fostered by peer groups.
Impact: Students benefit from diverse perspectives, shared experiences, and collective problem-solving, enhancing their overall learning experience.
24/7 Learning Platforms:
Role: Accessible online resources and platforms.
Impact: Students can engage with course materials at their own pace, catering to diverse learning styles and schedules.
Dedicated Academic Advisors:
Role: Advisors offer academic guidance and support.
Impact: Students receive personalized assistance in navigating coursework, addressing challenges, and planning their educational journey.
Technical Support:
Role: Immediate assistance for technical issues.
Impact: Ensures uninterrupted learning by addressing technical challenges promptly.
360DigiTMG's Approach:
Industry-Experienced Mentors:
Feature: Courses at 360DigiTMG are led by industry-experienced mentors.
Impact: Students benefit from practical insights and real-world scenarios, enhancing the relevance of their education.
Peer Learning Platforms:
Feature: Collaborative online platforms encourage peer-to-peer learning.
Impact: Students engage in knowledge sharing, fostering a sense of community and mutual support.
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Continuous Support:
Feature: 360DigiTMG provides continuous support through mentorship, forums, and technical assistance.
Impact: Students feel supported throughout their educational journey, reducing potential stress and enhancing overall satisfaction.
Navigating Challenges:
Adapting to Diverse Learning Styles:
Challenge: Different students have different learning preferences.
Solution: Offering a variety of learning resources and modes accommodates diverse learning styles.
Remote Learning Challenges:
Challenge: With the rise of online education, students may face challenges in staying engaged.
Solution: Implementing interactive elements, regular check-ins, and fostering a sense of community mitigates this challenge.
Fostering a Culture of Continuous Improvement:
Regular Feedback Mechanisms:
Practice: Implementing regular feedback sessions for both mentors and students.
Impact: Creates a culture of continuous improvement, allowing mentors to refine their guidance and students to adapt their learning strategies.
Professional Development Opportunities:
Practice: Providing mentors with ongoing professional development opportunities.
Impact: Ensures mentors stay updated on industry trends and educational methodologies, enhancing the quality of guidance they offer.
Career-Driven Curriculum Updates:
Practice: Regularly updating the curriculum to align with industry demands.
Impact: Ensures that students are equipped with the latest skills and knowledge, enhancing their employability upon graduation.
Student Success Stories:
Showcasing Achievements:
Approach: Highlighting success stories of students who have benefited from mentorship and support.
Impact: Motivates current students and demonstrates the tangible impact of the educational institution's commitment to student success.
Alumni Engagement:
Approach: Facilitating engagement between current students and alumni.
Impact: Alumni can share their post-graduation journeys, offering valuable insights and advice to those still in the program.
Addressing Diversity and Inclusion:
Tailored Support for Diverse Backgrounds:
Approach: Recognizing and addressing the unique challenges faced by students from diverse backgrounds.
Impact: Ensures that support systems are inclusive and accessible to all students, fostering a sense of belonging.
Cultural Sensitivity in Mentorship:
Approach: Promoting cultural sensitivity and inclusivity in mentorship practices.
Impact: Creates an environment where students from different cultural backgrounds feel understood and supported.
Data Science Demo
Challenges in Implementation:
Ensuring Mentor Availability:
Challenge: Mentor availability may be limited due to professional commitments.
Solution: Implementing structured scheduling and communication channels to maximize mentor-student interactions.
Balancing Individualized Support:
Challenge: Balancing the need for individualized support with the constraints of a large student population.
Solution: Implementing scalable support structures, such as peer learning communities, to complement individual mentorship.
Looking Ahead:
As Malaysia continues to position itself as a hub for data science education, the integration of effective mentorship and support systems will be critical in shaping the success stories of future data scientists. The commitment to fostering a holistic educational experience not only equips students with technical skills but also nurtures their personal and professional growth.
In the ever-evolving landscape of data science, the role of mentorship and support systems extends beyond academic success; it plays a vital part in cultivating a community of lifelong learners, innovators, and contributors to the data-driven future. As Malaysia's educational institutions refine and enhance their mentorship and support structures, they pave the way for a new generation of data scientists ready to tackle the challenges and opportunities of tomorrow's data-centric world.
Navigate To:
Name: 360DigiTMG — Data Science, IR 4.0, AI, Machine Learning Training in Malaysia
Address: Level 16, 1 Sentral, Jalan Stesen Sentral 5, Kuala Lumpur Sentral, 50470 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Phone: +60 19–383 1378
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Manufacturing Companies in Malaysia
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