#ai tools help in study

[some-pers0n]

interesting ideas about AI art and by no means am I trying to send hate but I believe majority of people hate AI art is because it's truly just the byproduct of a giant plinko board bouncing through pieces of art made by artists who put love and care and SOUL into their work. A visual product of a math formula. While it's "art" in the most litteral sense, not having a true human behind it putting though and effort into its every detail, for many people (myself included) devalues it from a tradition artists work.

I'm a firm believer in the idea that AI art is inherently unequal to non Ai art, specifically for this reason. (Hope this made sense sorry if it's incoherent)

I agree in that sense there. I personally do not find myself wanting to engage in a work when I purposefully know the creator had used AI to create the entire product. Something something,,,I cannot find myself getting invested in something that is little more than a product. I don't wanna read a fic about my blorbos when it was written by Chat-GPT

I also agree with the idea that a lot of people hate AI art because of this heavily emotional, debatably reactionary mindset that stems from one thing: fairness. It's the same sort of emotion I find one gets if all of the work on a group project gets shafted onto them whilst their fellow peers sit idly by. It feels unfair to sink hours into your craft, spending all this time fighting to develop your skills and flourish as an artist, only to see someone type half a paragraph and have a machine spit back something that looks not half bad. Let's be honest with ourselves here and say that AI art, at least in a visual regard, has progressed quite a bit to the point where most of the mistakes people find can be dismissed as wonky perspective and the line art being a bit fucky, which is something a ton of artists struggle with too

People develop a sort of a superiority complex over it. I can't blame them honestly. A number of times I've felt it too when people tell me they're using Chat-GPT as though it were Google and when I see my family members and friends playing around with AI art. I gotta bite my tongue and choke back a chortle, both because it's kind of a dick move and also because I don't want to relish in this feeling. It's infectious though to feel as though you have an edge over another person just because you abstain from using Chat-GPT or whatever. Not to be all "grrgrgrr you should LOVE Chat-GPT and if you dare to say anything bad then you are EVILL!!" of course though. It's emotions. They're messy, intense, and oftentimes you don't really realize when you're feeling since you get locked into your perspective. Yet, I think it's important to realize a lot of hatred of this generative AI stems from emotions. Reactionary ideals and claims stem from emotions after all

I think ultimately what the conversation about generative AI should revolve around is about the concerns of labour. The several strikes from a while back from VFX artists and scriptwriters come to mind. They are most at stake from generative AI as tools like Chat-GPT are cheaper and more cost-effective than paying an actual employee for their time and effort. I would also mention the environmental issues, but if we were to talk about that we would also have to acknowledge the fact that so, so much water is being used up daily to generate power for servers. Hell, this post alone will probably contribute to drying up some marsh in the greater scheme of things

Anywho yada yada TL;DR: I agree yes but I also think it's important to recognize that a good chunk of your hatred to Chat-GPT stems from feeling cheated and a sense of pride and superiority over others for simply not using it. There is no quality to Chat-GPT that makes it inherently evil. I can't get upset at my grandma for sending me a photo of her and her dog that went through an AI anime filter. I can feel maybe some exhaustion when seeing a fellow classmate using Chat-GPT to write their essay, but ultimately I write my own work for the love of the game. I can get upset however at those in higher power who use it to push artists out of jobs. Chat-GPT is a tool that has its pros and cons and I think it's reductive to just basically sit there and hiss like a vampire when presented with a cross when faced with the mere word "AI", especially when your only big argument for disliking it is based purely in feeling cheated when someone types a prompt into a program and art that would've taken you seven hours to draw gets spit out in about a minute or two

[stagflood]

.

[apex-vision-ai]

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[storycraftcafe]

Did I just unsubscribe from a writer I've been following for years because they advocated for using AI? You fucking bet.

They suggest it's use as a tool, citing writers who hesitated to jump on the internet being left behind and I think that displays a rather big misunderstanding of the nature of problem.

Their point was gen AI can "help us think" but there's growing studies show us that it does anything but. Here's one paper on skill atrophy from AI use. There's more than a few of them plus some articles like this one from Forbes. Essentially using AI for a particular skill shows degradation in thelat skill.

Fact is brainstorming, research, analysis. Planning, outlining, writing, editing are ALL skills writers need to develop and practise. Not offload to a machine and surrender critical thought.

These skills are vital and transferrable to other aspects of our lives. My ability to critically examine a body of text to parse meaning works in enjoying fiction and digging through mixed messages in news and on social media. My ability to research and develop ideas from multiple sources also helps me fact check misinformation online.

These skills are so important, too important to cast aside for convenience.

I'd rather use my brain and do the work. Maybe ai will shift and better tools will arise, but I have put too much work into developing my skills to be content with the half assed result of the plagiarism machine.

Fuck that.

[fansurveys]

Hi, I’m Mel Stanfill. I am a scholar at the University of Central Florida whose research focuses on fan studies, and I want to understand the opinions of media fans about the use of generative AI tools (like ChatGPT, DALL-E, and others), both in general and as part of the creation of works like fan fiction and fan art in particular.

If you would like to share your thoughts, please take this online survey that will take approximately 15-20 minutes and tell me what you think:

Please also reblog to help me get more responses!

[inaturalist-unofficial]

What's the iNaturalist AI drama...? I hadn't heard about anything until now.

iNaturalist announced a project, funded by a $1.5 million dollar grant from Google, to create a LLM trained on user ID comments to produce generative AI ID tips.

As a user that has voluntarily provided nearly 95k IDs and a lot of them containing uncountable hours of study to provide helpful and accurate information for the community, this disgusts me.

The official announcement on site: https://www.inaturalist.org/posts/113184-inaturalist-receives-grant-to-improve-species-suggestions

The official announcement on bsky:

Official feedback form:

A forum discussion:

[montereybayaquarium]

Meet three incredible women who are making waves as ocean advocates, leading the charge in conservation and science!

📸 1: Emma, a Santa Cruz native, studied Marine Biology at UCSC and began her career in theater costume design. She later followed her passion for animals, spending over a decade as  a zookeeper and aviculturist. Since joining the Aquarium in 2023, she has cared for seabirds and now focuses on our African penguins, building bonds, training, and sharing their stories to inspire ocean conservation.

📸 2: Dr. Kakani Katija is a bioengineer at MBARI exploring the deep sea with advanced imaging and AI. She leads their Bioinspiration Lab, creating tools to study marine life more efficiently. Her work with underwater robots is helping us understand and protect the ocean.

📸 3: Alivia, an aviculturist at the Aquarium, takes care of all birds from least sandpipers to Laysan albatrosses. Working closely with species like the endangered African penguin, she inspires both staff and visitors to protect ocean wildlife.

[reasonsforhope]

"An AI-equipped foot scanner placed at one’s bedside could be a lifesaving companion to those living with a risk of heart failure.

Developed by Heartfelt Technologies in concert with the UK’s National Institute of Health, the scanner takes 1,800 photos of a person’s two feet and analyzes them for signs of a fluid buildup called oedema, one of three best indicators of oncoming heart failure.

Heart failure occurs when the heart’s inability to pump blood properly results in a buildup of fluid in the lungs and a lack of blood-derived oxygen reaching vital organs.

Dr. Philip Keeling, the lead author on a study debuting the invention who is also a consultant cardiologist at the South Devon National Health Service Foundation Trust, explained why such a device would be a key tool in combating heart failure, something which affects 1 million Brits every year.

“This device detects one of the big three warning signs for people with heart failure before they end up in hospital,” he wrote, according to the BBC.

“Only about half of people admitted to hospital with heart failure currently get assigned an early review by a heart failure nurse who can check to see if they are suffering a harmful build-up of fluid because their heart is not working properly.”

“Amid a shortage of heart failure nurses, a device like this can be like a virtual nurse, tracking people’s health.”

AI IN MEDICINE: 

Teens Developed App That Identifies Mouth Cancer–Making Early Diagnosis Easy and Winning $50k for Their School

In 10 Seconds, an AI Model Detects Cancerous Brain Tumors Often Missed During Surgery

After Studying Mammograms, AI Can Detect More Breast Cancers Than Humans–With Fewer False Positives

New AI Smartphone App Accurately Diagnoses Ear Infections and Prevents Unnecessary Antibiotic Use

The study which Dr. Keeling helped run involved 26 patients across five NHS trusts. Alerts given by the device of potential heart failure came between eight and 19 days in advance of a hospitalization, giving a mean prediction time of 13 days, which is enough for measures to be taken that could prevent hospitalizations.

Six hospitalizations occurred during the trial period, and the device accurately predicted 5 of them. 82% of patients decided to keep the device after it ended.

“This small study suggests a simple device could significantly improve outcomes for at-risk patients with heart failure by keeping them out of hospital,” said Dr. Bryan Williams. Chief Scientific and Medical Officer at the British Heart Foundation which was not involved with the study."

-via Good News Network, June 16, 2025

[veal-exe]

Y’all have got to stop replacing critical thinking with apps and extensions. People go on and on about how AI makes people lazy (true), but barely anyone talks about how things like Shinigami Eyes, an extension now infamous for being used to discriminate against trans and intersex people, actually discourage people from learning how to spot TER/TIRF/TRF rhetoric themselves.

This isn’t just about AI or browser extensions; it’s about the bigger issue of outsourcing your own judgment to digital tools that can’t actually think for you. When you rely on an algorithm to tell you what’s safe or not, you stop learning how to analyze context, pick up on coded language, and form your own conclusions. That’s a real problem.

These tools might seem convenient, but they also make you vulnerable. What happens when you don’t have access to them anymore? Or when the people behind them have their own biases and agendas? We’ve already, again, seen how Shinigami Eyes has been weaponized against trans and intersex people. If you don’t know how to think critically on your own, you’re leaving yourself wide open to misinformation and manipulation.

Instead of letting an app or extension decide things for you, take the time to actually learn. Get familiar with dog whistles, coded language, and the way harmful ideologies spread. Read firsthand accounts from marginalized people, study patterns in rhetoric, and have real conversations. This isn’t just about activism! it’s basic media literacy in a world where bad actors are constantly shifting tactics!

I’m not saying you can’t use digital tools at all. If they help, cool. But don’t lean on them like a crutch before you even know how to walk. Knowledge that’s actually yours can’t be taken away by a software update, a deplatforming, or an algorithm tweak.

Bottom line: Stop letting apps think for you. Learn how to recognize danger on your own, because at the end of the day, no tool is ever going to replace the value of an informed, critical mind.

[dedalvs]

hey friend, i know you’ve been a pretty serious supporter and user of duolingo for a long time (so have i!), so i’m curious what your feeling is about the announcement that they’re going to be doubling down on using more and more AI for content creation, including using it to avoid having to hire actual humans?

personally, i’m really disappointed - i’ve disliked how much they’ve been using it so far, but the app is otherwise a great tool, and all of the other apps seem to use it, too, so it’s not easy to just jump ship to an app that isn’t using AI. i’ve seen a lot of responses that are like “hurr hurr just use a textbook idiot” which i find really unhelpful; learning from an app is easier and a lot more convenient in a lot of ways than having to use analog materials, especially if you study a high number of languages. still, i don’t ethically feel that i can keep giving them money if this is the direction they’re going.

what are your thoughts?

This is going to be a longer answer than you might have expected.

In 2001, fellow undergrad. Reiko Kataoka (now a professor at San Jose State) resurrected a club that had been dead for a few years at UC Berkeley linguistics: The Society of Linguistics Undergraduates (SLUG). One of its former undergraduate members, Alan Yu (now a professor at the University of Chicago), happened to be a graduate student at Berkeley at the time, so he helped her get it off the ground. The club was exactly what I was looking for at that time: a group for ling. undergrads. to get together and talk about language and linguistics, my new favorite thing. It was great! I even put together a couple phonology problems using my conlangs to distribute at a meeting. The following year I became the second president of the new SLUG and helped to create the SLUG Undergraduate Linguistics Symposium, where I gave my first talk on language creation. Being a part of this club was a major factor in shaping my undergraduate experience at Berkeley.

When I graduated I went to UC San Diego to pursue a graduate degree in linguistics. Part of the reason I chose UCSD was because it was an incredibly inviting atmosphere. Before we accepted they paid for prospective undergraduates down to San Diego and housed them with current grad. students who told them about the program and took them out for dinner, etc. It allowed prospective students to ask questions they wouldn't ask of professors (e.g. who's got beef with who). It was really cool, and so in our second year, we continued the tradition of housing prospective grad. students. Since we both went to Berkeley, my ex-wife (also a Berkeley ling. grad.) and I hosted Klinton Bicknell.

Klinton, it turns out, was the current president of SLUG. I didn't know him while I was at Cal, but we did overlap. It turns out he had renamed the club SLUGS, which I thought was weird. He said "It happened organically" and laughed in an off-putting way. He very much gave off the impression of someone who will smile at you and say whatever is necessary for you to go away. Klinton ended up going to UCSD the following year and I ended up leaving the following year.

Fast forward to 2016. HBO had put the kibosh on Living Language Valyrian, and so I turned to Duolingo. They had previously reached out about putting together a Dothraki course, but I declined, due to having a book out, Living Language Dothraki. With no hope for Valyrian, I asked if they'd be interested in me putting together a course on High Valyrian, which I did. I had some help at the beginning, but, truth be told, most of that course was built by me alone. I became very familiar with the Incubator, where Duolingo contributors built most of their courses. It was a bit clunky, but with enough elbow grease, you could put together something that was pretty darn good. It wasn't as shiny as their in house courses, because they couldn't do things like custom images, speaking challenges, etc., but it was still pretty good.

At the time I joined, everyone who was working in the Incubator was doing it for free. We were doing it because we wanted to put together a high quality course on our language of choice on Duolingo. When Duolingo went public, they realized this situation was untenable, so they began paying contributors. There were contracts, hourly wages, caps on billable hours, etc. It essentially became an as-you-will part time job, which wasn't too bad.

The Incubator faced a couple potentially insurmountable problems. When the courses were created by volunteers, Duolingo could say "This was made by volunteers; use at your own risk", essentially. Once they were paid, though, all courses became Duolingo products, which means they bear more responsibility for their quality. With so many courses (I mean, sooooooooo many courses) it's hard to ensure quality. Furthermore, "quality" doesn't just mean "are the exercises correct" and "are the sentences interesting". Quality means not being asked to translate sentences like "Women can't cook" or "The boy stabbed the puppy". With literally hundreds of courses each with thousands of sentences written by contractors, there was no way for Duolingo to ensure not just that they were staying on brand with these sentences, but that they weren't writing ugly things. There were reporting systems, there were admins that could resolve things behind the scenes, but with so much content, it became a situation where they would have had to hire a ton more people or scale back.

We saw what Duolingo did before with one aspect of their platform that had a similar issue. If you remember way back, Duolingo used to have a "forum", that was a real forum, but for most users, what it meant was on every single sentence in Duolingo users could make comments. These comments would explain grammar points, explain references, make jokes, etc. It was honestly really helpful. But, of course, with any system like that comes trolls, and so volunteers who had come to create language learning resources also found themselves being content reviewers, having to decide which comments to allow, which to delete, who to ban, etc. As Duolingo became more popular, the troll problem grew, and so eventually Duolingo's response was to kill the forum. This mean you were no longer able to see legitimate, helpful comments on sentences. They threw the baby out with the bathwater.

This is why it was no surprise to me when they shuttered the Incubator. The technology was out of date (from their standpoint, you understand. Their in house courses were way more sophisticated, but they couldn't update the Incubator without potentially breaking hundreds of courses they hadn't created themselves), quality assurance was nearly impossible, and they were also paying people to create and maintain these out-of-date courses they had no direct control over. Of course they closed it down. It would've taken a massive investment of time and resources (and capital) to take the Incubator as it was and turn it into something robust and future proof (think old Wordpress vs. Wordpress now), and Duolingo wanted to do other things, instead—like math and music. And so the Incubator died.

But that wasn't the only reason. This was something we heard internally and then heard later on publicly. There was rumbling that Duolingo was using AI to help flesh out their in house courses, which was troubling. This was before the big Gen AI boom, but after a particularly pernicious conlang-creation website I won't name had come to exist, so it caught my attention. I decided to do a little digging and see what this was all about, and I ended up with a familiar name.

Klinton Bicknell.

Indeed, the very same Klinton Bicknell was the head of all AI ventures at Duolingo. Whether enthusiastically or reluctantly or somewhere in between, he was absolutely a part of the decision to close the Incubator and remove all the contractors who had created all the courses that gave Duolingo its reputation. (Because, seriously, why did most of us go to Duolingo? Not for English, Spanish, French, and German.)

I know you sent this ask because of the recent news about Duolingo, but, to be honest, when I saw one of these articles float across my dash I had to check the date, because to me, the news was old. Duolingo isn't just now replacing contractors with AI: They already did. That was the Incubator; those were contractors. That is why there won't be more new language courses on Duolingo, and why the current courses are frozen. This isn't news. This is the continuation of a policy that had already firmly in place, and a direction that rests solidly on the shoulders of Klinton Bicknell.

But you don't have to take my word for it. He's talked about this plenty himself:

Podcast (Generative Now)

Article in Fast Company

Article in CNET

Google can help you find others.

At this point there's a sharp and baffling division in society with respect to generative AI. On the one hand, you have those of us who disapprove of generative AI on a truly fundamental level. Not only is the product something we don't want, the cost—both environmental and ethical—is utterly insupportable. Imagine someone asking you, "Hey, would you like a sandwich made out of shoelaces and shit?" And you say, "God, no, why would anyone ever want that?!" And their response is, "But wait! To make this sandwich out of shoelaces and shit we had to strangle 1,000 kittens and drain the power grid. Now do you want it?"

On the other side, there are people who are still—I mean today—saying things like, "Wow! Have you heard of this AI thing?! It's incredible! I want AI in everything! Can AI make my table better? Can I add AI to my arthritis? We should make everything AI as quickly as possible!"

And conversations between the two sides go roughly like this:

A: Good lord, now they're using AI art on phone ads? Something has to stop this… B: Yeah, it's so cool! Look, I can make a new emoji on my phone with AI! A: Uhhh…what? I was saying it's bad. B: Totally! I wonder if there's an AI shower yet? Like, it could control the temperature so you always have the perfect shower! A: Do you know how much power it takes to run these genAI apps? At a time when we're already struggling with income inequality, housing, inflation, and climate change? B: I know! We should get AI to fix that! A: But AI is the problem! B: Hey ChatGPT: Teach me how to surf!

It's frustrating, because the B group is very much the 💁 group. It's like, "Someone was using ChatGPT and it told them to kill themselves!" and they respond, "Ha, ha! Wow. That shouldn't have happened. What a learning opportunity! ☺️ Hey ChatGPT: How do you make gazpacho?" There's a complete disconnect.

In terms of what you do with your money, it's a difficult thing. For example, I've used Apple computers consistently since 1988. I'm fully immersed in the Apple ecosystem and I love what they do. They, like every other major company, are employing AI. If you go over to r/apple any time one of these articles comes out, it's all comments from people criticizing Apple for not putting together a better AI product and putting it out faster; none saying that they shouldn't be doing it. They're all ravenous for genAI for reasons that defy my understanding. And so what do I do? I've turned off the AI features on all my Apple devices, but beyond that, I'm locked in. From one direction, I look like a hypocrite for using devices created by a company that's investing in AI. From the other direction, though, I am using their devices to say what they're doing is fucking despicable, and they should stop—and I'll keep doing so so long as there's breath in my body.

Duolingo isn't necessary the way that, say, a computer or phone is nowadays. Duolingo is still usable for free, though, of course, they make it a frustrating experience to use its free service. (This is certainly nothing exclusive to Duolingo. That's the way of everything nowadays: streaming services, games, social media... Not "Well give you cool things if you pay!" but "We'll make your life miserable if you don't!") If you do use their Incubator courses, though, I can assure you that those are AI-free. lol They're too outdated to have anything like that. Some of those courses are bigger than others; some are better than others. But all of them were put together by human volunteers, so there's that, at least. At this point, I don't think Duolingo needs your money—nor will they miss it. They're on a kind of macro plane at the moment where the next ten years will either see the company get even bigger or completely disintegrate; there's no in between. They're likely going to take a big swing into education (perhaps something like Duolingo University [Duoversity?]) and it's either going to make a ton of money or bankrupt them. I guess we'll have to wait and see.

I've taken the Finnish course in its entirety and we're doing Hungarian now, and I've learned a lot—not enough, but a lot. I'm grateful for it. I like the platform, and I agree with the basic tenets of the language courses (daily shallow intake is better than occasional deep intake; implicit learning ahead of explicit instruction is better than the reverse). I'm grateful they exist, I'm grateful we can still use them (because they can always retire all of them, remember), and I think it's brought a lot of positivity to the world. I think Luis Van Ahn is a good guy and I hope he can steer this thing back on course, but I'm not putting my money on it.

[aegann]

Love to see iNaturalist betraying the goodwill of thousands of volunteers that help identify peoples' observations in exchange for a grant from Google's AI slop department!

Love how the FAQ says that iNaturalist has already been using "a type of AI" to help offer identifications for photos, as if that's even remotely similar to using a fucking LLM to try and give accurate species identification "tips".

Because that sounds like an amazing idea, especially since the experts on this site spend their entire lives studying certain taxa to differentiate between species. Let's act like these volunteers WOULDN'T want to write these tips, like they haven't been asking for a user-run wiki for years. I think instead we should just use their time to train our model. Which, by the way, doesn't fucking care if the "tips" its giving are even accurate, no matter how much training you give it.

And I won't even get into the other ethical concerns of all of this.

We're truly deeply rooted in an age of misinformation and disinformation. We need to advocate for better and more accessible science communication now, more than ever. If you use iNaturalist at all, you NEED to speak up about this.

[apex-vision-ai]

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[funnygirlthatbelle]

i suspect that a huge factor in the defense of students using gen ai (and academic dishonesty in general tbh) comes from the fundamental misunderstanding of how school works.

to simplify thousands of educator's theories into the simplest terms, there are two types of stuff you're learning in school: content and skills. content is what we often think of as the material in school- spelling, times tables, names, dates, facts, etc.- whereas skills are usually more subtle. think phonics, mental math, reading comprehension, comparing and contrasting; though students do those things often, the how usually isn't deemed as important as the what.

this leads to a disconnect that's most obvious when students ask the infamous "when will we use this in the real world?" they have- often correctly- identified content that the content is niche, outdated, or not optimized but haven't considered the skills that this class/lesson/assignment will teach.

i can think of two shining examples from when i was a kid. one was in middle school when they announced that we were now gonna be studying latin, and we all wondered why on earth they would choose latin as our foreign language. every adult promised us it'd be helpful if we went into medicine, law, or religion (ignoring that most of us didn't want to go into medicine, law, or religion), but we didn't buy that and never took it seriously. the truth was that our new principal knew that learning languages gets harder as you get older, and so building the skills of learning a language while it was easy for us was more important than which language we learned, and that's an answer twelve year old me would've actually respected.

similarly, my geometry class all hated proofs. we couldn't think of a single situation where you'd have to convince someone a triangle was a triangle and "look at it, of course it's a triangle" wouldn't be an acceptable answer. it was actually the band director who pointed out that it wasn't literally about triangles; it was about being able to prove or disprove something, anything using facts.

and so, so, so many assignments that are annoying as hell in school make more sense when you think about the skills as well as the content. "why do i have to present information about something the teacher obviously already knows about?" because research, verifying sources, summarizing, and public speaking are all really important skills. "why does this have to be a group project?" because you will have to work with other people in your life, and learning how to be a team player (and deal with people who aren't) is an essential skill. "why do we have to read these scientific articles and learn about graphs?" because if you can understand them, people can't lie to you about them.

now, of course, there's a lot we could do better- especially we as in the american school system. the reason i have an education minor but am not teaching is because of those issues. there are plenty of assignments that are busywork and teachers that are assholes and ways that the system is failing us.

but that doesn't mean you should cut off your nose to spite your face!

the ability to learn and grow and think critically is one of our most powerful tools as people. our brains are capable of incredible things! however, the same way you can't lift a car unless you consistently lift and build up to that, your brain needs to train in order to do its best.

so yeah, maybe chatgpt can write a five paragraph essay for you on the differences between thomas jefferson and alexander hamilton's governing philosophies. and maybe it won't even fuck it up! congratulations, you got away with it. but by outright refusing to use your brain and practice these skills, who have you helped? you haven't learned anything. worse, you haven't even learned how to learn.

[optiblog]

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Laptop Recommendation

In today's fast-paced world, choosing the right laptop can be a daunting task. With numerous options available in the market, it's essential to consider various factors such as performance, portability, and price. At Optiviser.com, we provide an insightful guide to help you navigate through the vast array of choices. To streamline your decision-making process, we have developed an AI-powered Electronics Comparison tool that allows you to compare specifications and features of different laptops side by side.

This year, we have seen a surge in innovative laptops that cater to diverse needs. Whether for gaming, business, or everyday use, our top recommendations include models that excel in battery life, processing power, and display quality. For instance, consider the latest models from top brands, which have integrated the best features of Top Smart Home Devices 2024 trends, ensuring seamless connectivity and advanced functionalities.

Additionally, if you're looking for a laptop that can handle multitasking effortlessly, we suggest models equipped with the latest processors and ample RAM. Our detailed Laptop Recommendation section on Optiviser.com includes expert reviews and user feedback to help you choose a laptop that not only fits your budget but also meets your specific requirements.

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Study Tips | THE IT GIRL DIARIES

As the academic year begins to wrap up, things can get stressful with extra workload and faster lessons. I've definitely been a victim of this but unfortunately, I can't afford to slack off if I want that degree, so I began implementing a few tips and tricks into my study method that has helped me a lot.

Summarize and Recite Notes

If you’re good at remembering things like speech notes, try “paragraph summarizing” Those who did orals in pre school, high-school and were good at it, will know exactly what I'm talking about. I take a week’s material and shrink it down to a few key paragraphs with main ideas and keywords. Then, read these notes out loud as if you’re practicing for a presentation. This helps me remember faster. On occasion I make q-cards for harder or more learning material but very rarely.

Use AI !

When I come across hard words or ideas, I use AI tools like ChatGPT or Google. Copy your tricky material, paste it into the tool, and ask it to “explain like I’m five” AI turns it into simple, easy language, making it much easier to understand and remember. This can be so helpful when it comes to work that requires having a good understanding of the topic to actually excel in it. Think of AI as your study buddy that already knows everything. For those who struggle to speak up in class or ask for help, AI is the solution. You can ask the dumbest questions ever and not be judged lmao. Progressive learning 101.

My 3 Step Muscle Memorization

Step 1 : Type out a summary of your notes on your laptop or computer, whatever digital device you choose, I prefer a laptop.

Step 2 : Copy and rewrite them by hand on paper

Step 3 : With a blank sheet alongside you, rewrite your summaries onto it without looking at it, so you'll read off your summaries on your previous page but with your other hand, rewrite it on the blank page. I call it "scribble memorizing" Repeat this until you can do it without looking at your summaries. I do this to basically practice muscle memory so my hand knows what to write without me having to think about it first.

mwah! xoxo, colebabey8.88