#ai development course

[101blockchainss]

Improve your AI skills with the 101 Blockchains AI Development Course. Our experts will develop all the required skills and show you how to implement AI solutions in real-world case studies. This course provides you with practical knowledge so you can learn things fast.

[ladyjmontilyet]

I keep thinking about how absolutely godawful Megalopolis was so here's some of my favourite tweets that I found the day I saw it:

It really was just 2.5 hours of Coppola saying "look how stupid I am and how I misunderstood the entire philosophy of stoicism and how the lessons of Rome apply to modern day". Not to mention the rampant misogyny and Islamophobia and orientalism. I've never regretted paying to see a movie in my entire 30 years of life before this - and I once saw an experimental movie that featured six minutes of sitting in pitch black and later on had someone getting fisted out of nowhere.

the one highlight: Wow Platinum. i love a "crazy bitch" with all my heart. truly unhinged. i think Aubrey Plaza knew exactly what movie she was in.

[seraheart]

I kinda wish that the DetCo canon would do more with the fact that the relationship (I don't mean this in the shipping sense) between Conan and Haibara has been, or at least logically should have been, really strained for a long time.

Originally, they had this development where Haibara was really messed up, overly cautious and trying to force her maladaptive survival psychological issues onto other people, and generally not good at positive interactions. Then, slowly, Conan and the others started gaining her trust (not entirely though), and also her general mental health improved (never completely though).

But then it turned around, and started getting significantly worse. Haibara isn't really in a healing arc anymore. If Aoyama still took her seriously as a character (which, to be fair, I don't think is the case), she would be in a retraumatization arc. Conan and his allies are limiting Haibara's agency, invading her privacy, dismissing her concerns about all this, and pretending that this isn't happening while she can obviously tell that it is happening.

I think the really obvious turning point was the Mystery Train arc. Haibara even called Conan and Agasa out on it and stated that she wouldn't forgive if she were to be treated like that again. Instead of taking her hurt seriously, they just told her she should "be thankful", and dismissed her hurt as "tsundere", refusing to take her trauma seriously after using it and using her as a mere chess piece in their plans (and Akai even triggering her more by gloating about it).

Since then, Haibara has been trapped under the constant, violating supervision of these people who have demonstrated that they don't respect her, and also refuse to acknowledge that the problem even exists. It's not a situation where her recover arc could realistically continue. By all logic, she should be spiraling, getting worse again.

And maybe this is on purpose; Aoyama definitely didn't plan the manga to get this long when he introduced Haibara, and originally the slow-burn of her recovery was a good way to postpone a scenario where Haibara could actually trust Conan enough to give him the kind of information that would lead to the finale arc. But... eventually, even with the extreme slow burn of DetCo, Haibara's recovery arc and relationship development with Conan would have gotten to the point where her continued withholding of crucial information would no longer make sense... and, I guess, rather than start concluding the story at a humanly reasonable rate, Aoyama just opted to nuke Haibara's whole recovery arc and character and relationship development (not only with Conan but also Agasa).

Which could have been tragic but realistic (albeit kind of a major downer out of tune with the manga's usual tone, and upsetting to anyone who had been invested in the slow-burn mental health improvement arc), but then Aoyama can't even be arsed to take it seriously, and is now just pretending that the situation with Haibara and her relationships with Conan and Agasa are still "normal" instead of FUBAR.

It's regrettable and really shows how much everyone dragging out this franchise to milk it for more money just... doesn't actually care about the story anymore, hasn't in a long time. They'll eventually just kill central, fan-favorite, long-running story arcs rather than actually letting them conclude or evolve in a satisfying manner if that would mean risking their precious status quo (which has warped beyond all recognition anyway, so I'm not sure why they bother).

[bigtiddygandalf]

i just had to take this ai personality test to submit a job application (to be a bartender).

[elfroot-and-laurels-moved]

low key i do wanna try to do OC-tober this year maybe with my dragon age OCs.......

[jcmarchi]

The Importance of Investing in Soft Skills in the Age of AI

New Post has been published on https://thedigitalinsider.com/the-importance-of-investing-in-soft-skills-in-the-age-of-ai/

The Importance of Investing in Soft Skills in the Age of AI

I’ll set out my stall and let you know I am still an AI skeptic. Heck, I still wrap “AI” in quotes a lot of the time I talk about it. I am, however, skeptical of the present, rather than the future. I wouldn’t say I’m positive or even excited about where AI is going, but there’s an inevitability that in development circles, it will be further engrained in our work.

We joke in the industry that the suggestions that AI gives us are more often than not, terrible, but that will only improve in time. A good basis for that theory is how fast generative AI has improved with image and video generation. Sure, generated images still have that “shrink-wrapped” look about them, and generated images of people have extra… um… limbs, but consider how much generated AI images have improved, even in the last 12 months.

There’s also the case that VC money is seemingly exclusively being invested in AI, industry-wide. Pair that with a continuously turbulent tech recruitment situation, with endless major layoffs and even a skeptic like myself can see the writing on the wall with how our jobs as developers are going to be affected.

The biggest risk factor I can foresee is that if your sole responsibility is to write code, your job is almost certainly at risk. I don’t think this is an imminent risk in a lot of cases, but as generative AI improves its code output — just like it has for images and video — it’s only a matter of time before it becomes a redundancy risk for actual human developers.

Do I think this is right? Absolutely not. Do I think it’s time to panic? Not yet, but I do see a lot of value in evolving your skillset beyond writing code. I especially see the value in improving your soft skills.

What are soft skills?

A good way to think of soft skills is that they are life skills. Soft skills include:

communicating with others,

organizing yourself and others,

making decisions, and

adapting to difficult situations.

I believe so much in soft skills that I call them core skills and for the rest of this article, I’ll refer to them as core skills, to underline their importance.

The path to becoming a truly great developer is down to more than just coding. It comes down to how you approach everything else, like communication, giving and receiving feedback, finding a pragmatic solution, planning — and even thinking like a web developer.

I’ve been working with CSS for over 15 years at this point and a lot has changed in its capabilities. What hasn’t changed though, is the core skills — often called “soft skills” — that are required to push you to the next level. I’ve spent a large chunk of those 15 years as a consultant, helping organizations — both global corporations and small startups — write better CSS. In almost every single case, an improvement of the organization’s core skills was the overarching difference.

The main reason for this is a lot of the time, the organizations I worked with coded themselves into a corner. They’d done that because they just plowed through — Jira ticket after Jira ticket — rather than step back and question, “is our approach actually working?” By focusing on their team’s core skills, we were often — and very quickly — able to identify problem areas and come up with pragmatic solutions that were almost never development solutions. These solutions were instead:

Improving communication and collaboration between design and development teams

Reducing design “hand-off” and instead, making the web-based output the source of truth

Moving slowly and methodically to move fast

Putting a sharp focus on planning and collaboration between developers and designers, way in advance of production work being started

Changing the mindset of “plow on” to taking a step back, thoroughly evaluating the problem, and then developing a collaborative and by proxy, much simpler solution

Will improving my core skills actually help?

One thing AI cannot do — and (hopefully) never will be able to do — is be human. Core skills — especially communication skills — are very difficult for AI to recreate well because the way we communicate is uniquely human.

I’ve been doing this job a long time and something that’s certainly propelled my career is the fact I’ve always been versatile. Having a multifaceted skillset — like in my case, learning CSS and HTML to improve my design work — will only benefit you. It opens up other opportunities for you too, which is especially important with the way the tech industry currently is.

If you’re wondering how to get started on improving your core skills, I’ve got you. I produced a course called Complete CSS this year but it’s a slight rug-pull because it’s actually a core skills course that uses CSS as a context. You get to learn some iron-clad CSS skills alongside those core skills too, as a bonus. It’s definitely worth checking out if you are interested in developing your core skills, especially so if you receive a training budget from your employer.

Wrapping up

The main message I want to get across is developing your core skills is as important — if not more important — than keeping up to date with the latest CSS or JavaScript thing. It might be uncomfortable for you to do that, but trust me, being able to stand yourself out over AI is only going to be a good thing, and improving your core skills is a sure-fire way to do exactly that.

[girderednerve]

A pseudonymous coder has created and released an open source “tar pit” to indefinitely trap AI training web crawlers in an infinitely, randomly-generating series of pages to waste their time and computing power. The program, called Nepenthes after the genus of carnivorous pitcher plants which trap and consume their prey, can be deployed by webpage owners to protect their own content from being scraped or can be deployed “offensively” as a honeypot trap to waste AI companies’ resources.

“Of course, these crawlers are massively scaled, and are downloading links from large swathes of the internet at any given time,” [Aaron B, Nepenthes' creator, said]. “But they are still consuming resources, spinning around doing nothing helpful, unless they find a way to detect that they are stuck in this loop.”

[theskoomacat]

M*uthwashing was good, the only things i didn't enjoy lie in the area of writing (but so do some things i enjoyed the most!) - but I expected more from it? kinda?

[bigleapblog]

Your Guide to B.Tech in Computer Science & Engineering Colleges

In today's technology-driven world, pursuing a B.Tech in Computer Science and Engineering (CSE) has become a popular choice among students aspiring for a bright future. The demand for skilled professionals in areas like Artificial Intelligence, Machine Learning, Data Science, and Cloud Computing has made computer science engineering colleges crucial in shaping tomorrow's innovators. Saraswati College of Engineering (SCOE), a leader in engineering education, provides students with a perfect platform to build a successful career in this evolving field.

Whether you're passionate about coding, software development, or the latest advancements in AI, pursuing a B.Tech in Computer Science and Engineering at SCOE can open doors to endless opportunities.

Why Choose B.Tech in Computer Science and Engineering?

Choosing a B.Tech in Computer Science and Engineering isn't just about learning to code; it's about mastering problem-solving, logical thinking, and the ability to work with cutting-edge technologies. The course offers a robust foundation that combines theoretical knowledge with practical skills, enabling students to excel in the tech industry.

At SCOE, the computer science engineering courses are designed to meet industry standards and keep up with the rapidly evolving tech landscape. With its AICTE Approved, NAAC Accredited With Grade-"A+" credentials, the college provides quality education in a nurturing environment. SCOE's curriculum goes beyond textbooks, focusing on hands-on learning through projects, labs, workshops, and internships. This approach ensures that students graduate not only with a degree but with the skills needed to thrive in their careers.

The Role of Computer Science Engineering Colleges in Career Development

The role of computer science engineering colleges like SCOE is not limited to classroom teaching. These institutions play a crucial role in shaping students' futures by providing the necessary infrastructure, faculty expertise, and placement opportunities. SCOE, established in 2004, is recognized as one of the top engineering colleges in Navi Mumbai. It boasts a strong placement record, with companies like Goldman Sachs, Cisco, and Microsoft offering lucrative job opportunities to its graduates.

The computer science engineering courses at SCOE are structured to provide a blend of technical and soft skills. From the basics of computer programming to advanced topics like Artificial Intelligence and Data Science, students at SCOE are trained to be industry-ready. The faculty at SCOE comprises experienced professionals who not only impart theoretical knowledge but also mentor students for real-world challenges.

Highlights of the B.Tech in Computer Science and Engineering Program at SCOE

Comprehensive Curriculum: The B.Tech in Computer Science and Engineering program at SCOE covers all major areas, including programming languages, algorithms, data structures, computer networks, operating systems, AI, and Machine Learning. This ensures that students receive a well-rounded education, preparing them for various roles in the tech industry.

Industry-Relevant Learning: SCOE’s focus is on creating professionals who can immediately contribute to the tech industry. The college regularly collaborates with industry leaders to update its curriculum, ensuring students learn the latest technologies and trends in computer science engineering.

State-of-the-Art Infrastructure: SCOE is equipped with modern laboratories, computer centers, and research facilities, providing students with the tools they need to gain practical experience. The institution’s infrastructure fosters innovation, helping students work on cutting-edge projects and ideas during their B.Tech in Computer Science and Engineering.

Practical Exposure: One of the key benefits of studying at SCOE is the emphasis on practical learning. Students participate in hands-on projects, internships, and industry visits, giving them real-world exposure to how technology is applied in various sectors.

Placement Support: SCOE has a dedicated placement cell that works tirelessly to ensure students secure internships and job offers from top companies. The B.Tech in Computer Science and Engineering program boasts a strong placement record, with top tech companies visiting the campus every year. The highest on-campus placement offer for the academic year 2022-23 was an impressive 22 LPA from Goldman Sachs, reflecting the college’s commitment to student success.

Personal Growth: Beyond academics, SCOE encourages students to participate in extracurricular activities, coding competitions, and tech fests. These activities enhance their learning experience, promote teamwork, and help students build a well-rounded personality that is essential in today’s competitive job market.

What Makes SCOE Stand Out?

With so many computer science engineering colleges to choose from, why should you consider SCOE for your B.Tech in Computer Science and Engineering? Here are a few factors that make SCOE a top choice for students:

Experienced Faculty: SCOE prides itself on having a team of highly qualified and experienced faculty members. The faculty’s approach to teaching is both theoretical and practical, ensuring students are equipped to tackle real-world challenges.

Strong Industry Connections: The college maintains strong relationships with leading tech companies, ensuring that students have access to internship opportunities and campus recruitment drives. This gives SCOE graduates a competitive edge in the job market.

Holistic Development: SCOE believes in the holistic development of students. In addition to academic learning, the college offers opportunities for personal growth through various student clubs, sports activities, and cultural events.

Supportive Learning Environment: SCOE provides a nurturing environment where students can focus on their academic and personal growth. The campus is equipped with modern facilities, including spacious classrooms, labs, a library, and a recreation center.

Career Opportunities After B.Tech in Computer Science and Engineering from SCOE

Graduates with a B.Tech in Computer Science and Engineering from SCOE are well-prepared to take on various roles in the tech industry. Some of the most common career paths for CSE graduates include:

Software Engineer: Developing software applications, web development, and mobile app development are some of the key responsibilities of software engineers. This role requires strong programming skills and a deep understanding of software design.

Data Scientist: With the rise of big data, data scientists are in high demand. CSE graduates with knowledge of data science can work on data analysis, machine learning models, and predictive analytics.

AI Engineer: Artificial Intelligence is revolutionizing various industries, and AI engineers are at the forefront of this change. SCOE’s curriculum includes AI and Machine Learning, preparing students for roles in this cutting-edge field.

System Administrator: Maintaining and managing computer systems and networks is a crucial role in any organization. CSE graduates can work as system administrators, ensuring the smooth functioning of IT infrastructure.

Cybersecurity Specialist: With the growing threat of cyberattacks, cybersecurity specialists are essential in protecting an organization’s digital assets. CSE graduates can pursue careers in cybersecurity, safeguarding sensitive information from hackers.

Conclusion: Why B.Tech in Computer Science and Engineering at SCOE is the Right Choice

Choosing the right college is crucial for a successful career in B.Tech in Computer Science and Engineering. Saraswati College of Engineering (SCOE) stands out as one of the best computer science engineering colleges in Navi Mumbai. With its industry-aligned curriculum, state-of-the-art infrastructure, and excellent placement record, SCOE offers students the perfect environment to build a successful career in computer science.

Whether you're interested in AI, data science, software development, or any other field in computer science, SCOE provides the knowledge, skills, and opportunities you need to succeed. With a strong focus on hands-on learning and personal growth, SCOE ensures that students graduate not only as engineers but as professionals ready to take on the challenges of the tech world.

If you're ready to embark on an exciting journey in the world of technology, consider pursuing your B.Tech in Computer Science and Engineering at SCOE—a college where your future takes shape.

[demonstars]

he’s on the right path for the wrong reason?

more like the wrong path for the right logic

[101blockchainss]

Get enrolled in 101 Blockchain's latest Generative AI Course. Learn the principles of how genealogical AI works and how to use it in real-world applications. This course will cover all basic to advanced concepts.

[bcneheaded]

Yall I've had this idea in my head for an AI entity character thing since forever and?? It's driving me absolutely bonkers, this consciousness wants OUT but I have no idea how to write it, it is simply too intricate and confusing

[softwaredevelopmentindia-one]

India is a hub for technology and innovation and the field of machine learning Solution Development in India — Microlent Systems

India is a hub for technology and innovation, and the field of machine learning is no exception. With a growing number of companies specializing in this field, it can be challenging to know which one to choose. In this article, we will discuss the best machine learning companies in India, with a special focus on Microlent Systems.

Microlent Systems: Microlent Systems is a software development company located in Jodhpur, Rajasthan, that specializes in machine learning. They offer a range of services, including data analysis, predictive modeling, and natural language processing. They have worked with clients across various industries, from healthcare to finance.

Fractal Analytics: Fractal Analytics is a data analytics company that specializes in machine learning. They offer a range of services, including data engineering, data visualization, and artificial intelligence. They have worked with clients such as Microsoft, Coca-Cola, and PepsiCo.

Wipro: Wipro is a global technology company that offers machine learning solutions, including predictive maintenance, fraud detection, and chatbot development. They have worked with clients across various industries, including banking, healthcare, and retail.

Analytics India Magazine: Analytics India Magazine is a media company that covers the latest trends and developments in the field of machine learning. They offer training programs, research reports, and industry events to help businesses stay up-to-date with the latest developments in machine learning.

Tiger Analytics: Tiger Analytics is a consulting firm that offers machine learning solutions, including predictive modeling, optimization, and data visualization. They have worked with clients such as Adidas, Samsung, and Amazon.

LatentView Analytics: LatentView Analytics is a data analytics company that offers machine learning solutions, including customer segmentation, price optimization, and demand forecasting. They have worked with clients such as Microsoft, Coca-Cola, and Johnson & Johnson.

BRIDGEi2i: BRIDGEi2i is a consulting firm that offers machine learning solutions, including sales forecasting, customer segmentation, and supply chain optimization. They have worked with clients across various industries, including banking, retail, and healthcare.

Amazon Web Services: Amazon Web Services (AWS) offers a range of machine learning solutions, including image and speech recognition, chatbot development, and predictive analytics. They have worked with clients such as Netflix, Airbnb, and Samsung.

In conclusion, there are several excellent machine learning companies in India, each offering unique solutions and services. Microlent Systems stands out among them, with its expertise in data analysis, predictive modeling, and natural language processing. Located in Jodhpur, Rajasthan, they are well-positioned to provide high-quality machine learning solutions to clients across various industries.

Read More :

https://microlent.com/blog/why-you-should-focus-on-improving-best-machine-learning-companies-in-india.html

[chipped-chimera]

THIS. DEAR LORD THIS. THIS IS WHAT HAS BEEN DRIVING ME INSANE ABOUT AI.

Look I have contemplated writing an AI Analysis post coming from an actual artist's perspective SEVERAL times with the knowledge I've accumulated but rarely have the spoons to do it but I'll just do a short bit of it now.

So when something really upsets me that is happening and I have little control, I habitually do this thing where I will actively go out there and research the shit out of it. Because I've spent enough time in therapy to know the thing that scares us the most is the unknown. Make the unknown known? It becomes significantly less scary.

And I am backing it up when they say 'AI is a buzzword'. It 120% is. What the AI labelling is hiding under the world's biggest and perhaps most obfuscated umbrella-term is machine learning.

So it would probably shock you to know, by that metric we have been using AI for YEARS. Your autocomplete keyboard on your phone that remembers your words according to usage? Machine learning. Facial recognition on mobile phone cameras and facebook? Machine learning. The ALGORITHMS that have been driving a lot of my most beloathed social medias for years? MACHINE. LEARNING. Auto-generated captions on videos, reverse image searching, targeted advertising, analysis of weather systems, handwriting recognition, DNA sequencing, search engines, and of course your dynamic enemy 'AI' in videogames that has to react to your actions as a player - these are ALL products of machine learning and by that metric? You have technically been using AI for years but we just didn't call it that yet.

In my great search of understanding all things AI, what an Australian tech journalist commentator said was - we're basically calling anything 'new' in machine learning that we don't quite understand yet collectively 'AI'. And I agree 100%. The reality is AI has been with us since about the 1960s.

Hang on Chimera/Kery I hear you say, on the Wikipedia page of machine learning it says machine learning is a result of trying to build AI, not AI! Yes, but you literally cannot have the 'Intelligence' part without the machine learning part. You take out the learning and you've just got a brick of data that you can't do shit with. The intelligence part comes in when based on the data it's been fed and the responses it has gotten back from it's environment, whether that is a researcher saying yes or no, or literal environmental feedback in a robot that is learning optimal locomotion through a space - it executes actions. So again, by that metric when you whip out your phone to take a selfie and your phone starts to track where your face is? It is executing an action based on its data-set of 'what is a face'. That. Is. AI.

So everything is AI now? Yeah it's an umbrella term, that's what I said. The disparity between knowing what machine learning and AI is to the point we call specific things AI (image generation, large language models, voice generation) and other things 'not AI' (see my long list again) is down to MARKETING.

Let me take you back to the tail 'end' of the pandemic. You're OpenAI and through scraping a lot of publically available data of just people chatting or writing various things - with dubious consent - you have made a really good chat-bot. Yeah you heard me, CHAT-BOT. If you're old like me, you remember chat-bots - they're those goofy things you played with as a teenager and laughed at because it'd say silly things and it'd be funny to put two together trying to talk to each other because they'd begin spouting nonsense and getting stuck in a loop. Or they're the widely hated artificial help systems on government websites embedded in a chatbox that does jack shit. Or the annoying pop up on some website you're just trying to buy shit from and stock-image-sandra is here in a text box 'ready to help you'. Chat-bots have an image problem. You can't release ChatGPT, your fancy chat-bot as a 'chat-bot', how the hell are you supposed to get investors? You've got some really good projects on the go (with dubiously sourced data) but you're running out of money. You need to do something fast.

So you take out the AI umbrella term, and right before everyone is just about ready to leave their hermit-chronically-online-pandemic-induced lifestyles - you drop the metaphorical bomb. You hand over your tech, now with the shiny new AI label, to the public. The AI label hides the fact from the public that you're basically rebranding shit we've had forever and by keeping it purposefully murky you can (hopefully) get people to ignore the fact that you've basically pulled vast swathes of data with dubious consent because - but it's AI! It's such a superior piece of technology! We can't un-invent the wheel because the ends didn't justify the means! It could change the world!

Despite the fact it's been 'changing the world' since 1960 and the only difference here is you linked enough computers together to make it better than what was currently available. But you now have to pay electricity costs for all that tech so, out into the wild it goes!

And now you've triggered a technological arms race and the use of AI (and your bottom line) is skyrocketing! AI that was previously the domain of government and massive corporate use is now in the hands of people to play with - their personal tech literacy be dammed (no literally be dammed, the less they understand the better). And they won't want to have it taken off them - in fact they'll fight each other over the value of your chat-bot and image generator in spite of the fact you stole data to train it. So your profits keep rolling in and next minute, despite your ethos being 'open source to all' - you're getting approached by Microsoft for a partial buy in and now you're 'semi-private', whatever the hell that means. Who cares! Money!

I have so, so much more to say on all this but I'll leave it for a proper post. But the lesson of this very tl;dr history of OpenAI is this: AI is machine learning. Machine learning is a TOOL. AI is a TOOL.

And a tool is only as ethical as the hand that chooses to wield it. Artificial intelligence is neutral. It is not good. It is not bad. It is just like the knife on your kitchen bench, with all the potential of doing good and useful things like help you make dinner and also horrendous, horrible things like commit a violent crime. And who made the knife in your kitchen? Is it artisan? Handcrafted by someone well paid in their profession? Or was it mass produced in third world conditions? Now is your knife itself bad? Should we ban all kitchen knives?

AI is a marketing buzzword for shit we've had for years - this is just the shiny version that went public to get money and we all fell for it hook, line and sinker.

So I challenge you, the next time something wizz-bang-shiny-tech-whatever is placed in front of you, and maybe it's a bit scary - to do what I do. Instead of filing it into a box of good or bad, start arguments online with someone with only limited information over whether someone is 'good' or 'bad' for participating or not participating in use of this technology because it's now emotionally loaded for you - do what I do. RESEARCH IT. Understand it, deeply. Listen to commentary on it from both sides, learn about the intent of why it was handed to you and for the love of god USE SOME CRITICAL THINKING SKILLS.

Because I guarantee you once you do that? Stuff will quickly become a lot less murky. You'll be able to see where your own blindspots are, and prevent them from being exploited - in this case, being taken advantage of by big corporations who are trying to pull and 'oopsie-woopsie' on unethical datasets for profit. You'll be able to hold them accountable. You'll also be less likely to get pulled into stupid arguments online about shit because you know it is way more nuanced than tech-bro putting out his big titty waifu image soup - he's small game here. Who cares about him. Go for the people at the top of this who are hoping to keep sliding on by with their rolling profits because you're too busy having fights among yourselves. Go for them and go for the fucking throat.

Any technology can be used for weal or woe, and it is entirely about the hand who wields it. Or in this case, the hand who programmed it.

If we want to continue to use AI or Machine Learning in an ethical, revolutionary manner we need to stop falling for the marketing, and hold each other accountable to uses that will continue to benefit humanity. Not pull it apart.

So yes. AI is a buzzword. Stop falling for it.

[beesmygod]

ed zitron, a tech beat reporter, wrote an article about a recent paper that came out from goldman-sachs calling AI, in nicer terms, a grift. it is a really interesting article; hearing criticism from people who are not ignorant of the tech and have no reason to mince words is refreshing. it also brings up points and asks the right questions:

if AI is going to be a trillion dollar investment, what trillion dollar problem is it solving?

what does it mean when people say that AI will "get better"? what does that look like and how would it even be achieved? the article makes a point to debunk talking points about how all tech is misunderstood at first by pointing out that the tech it gets compared to the most, the internet and smartphones, were both created over the course of decades with roadmaps and clear goals. AI does not have this.

the american power grid straight up cannot handle the load required to run AI because it has not been meaningfully developed in decades. how are they going to overcome this hurdle (they aren't)?

people who are losing their jobs to this tech aren't being "replaced". they're just getting a taste of how little their managers care about their craft and how little they think of their consumer base. ai is not capable of replacing humans and there's no indication they ever will because...

all of these models use the same training data so now they're all giving the same wrong answers in the same voice. without massive and i mean EXPONENTIALLY MASSIVE troves of data to work with, they are pretty much as a standstill for any innovation they're imagining in their heads

[techworld55]

🤔How Will MLOps Shape the Future of AI in 2025?

👀See how MLOps will shape the way businesses deploy and manage AI in 2025.

💫https://www.igmguru.com/blog/future-of-ai-deployment-an-introduction-to-mlops