AI Jobs and Career
And before we wrap up today's AI news, I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.
- Full Stack Engineer [$150K-$220K]
- Software Engineer, Tooling & AI Workflow, Contract [$90/hour]
- DevOps Engineer, India, Contract [$90/hour]
- More AI Jobs Opportunitieshere
| Job Title | Status | Pay |
|---|---|---|
| Full-Stack Engineer | Strong match, Full-time | $150K - $220K / year |
| Developer Experience and Productivity Engineer | Pre-qualified, Full-time | $160K - $300K / year |
| Software Engineer - Tooling & AI Workflows (Contract) | Contract | $90 / hour |
| DevOps Engineer (India) | Full-time | $20K - $50K / year |
| Senior Full-Stack Engineer | Full-time | $2.8K - $4K / week |
| Enterprise IT & Cloud Domain Expert - India | Contract | $20 - $30 / hour |
| Senior Software Engineer | Contract | $100 - $200 / hour |
| Senior Software Engineer | Pre-qualified, Full-time | $150K - $300K / year |
| Senior Full-Stack Engineer: Latin America | Full-time | $1.6K - $2.1K / week |
| Software Engineering Expert | Contract | $50 - $150 / hour |
| Generalist Video Annotators | Contract | $45 / hour |
| Generalist Writing Expert | Contract | $45 / hour |
| Editors, Fact Checkers, & Data Quality Reviewers | Contract | $50 - $60 / hour |
| Multilingual Expert | Contract | $54 / hour |
| Mathematics Expert (PhD) | Contract | $60 - $80 / hour |
| Software Engineer - India | Contract | $20 - $45 / hour |
| Physics Expert (PhD) | Contract | $60 - $80 / hour |
| Finance Expert | Contract | $150 / hour |
| Designers | Contract | $50 - $70 / hour |
| Chemistry Expert (PhD) | Contract | $60 - $80 / hour |
The Future of Generative AI: From Art to Reality Shaping.
Explore the transformative potential of generative AI in our latest AI Unraveled episode. From AI-driven entertainment to reality-altering technologies, we delve deep into what the future holds.
This episode covers how generative AI could revolutionize movie making, impact creative professions, and even extend to DNA alteration. We also discuss its integration in technology over the next decade, from smartphones to fully immersive VR worlds.”
Listen to the Future of Generative AI here
#GenerativeAI #AIUnraveled #AIFuture
Welcome to AI Unraveled, the podcast that demystifies frequently asked questions on artificial intelligence and keeps you up to date with the latest AI trends. Join us as we delve into groundbreaking research, innovative applications, and emerging technologies that are pushing the boundaries of AI. From the latest trends in ChatGPT and the recent merger of Google Brain and DeepMind, to the exciting developments in generative AI, we’ve got you covered with a comprehensive update on the ever-evolving AI landscape. In today’s episode, we’ll cover generative AI in entertainment, the potential transformation of creative jobs, DNA alteration and physical enhancements, personalized solutions and their ethical implications, AI integration in various areas, the future integration of AI in daily life, key points from the episode, and a recommendation for the book “AI Unraveled” to better understand artificial intelligence.
The Future of Generative AI: The Evolution of Generative AI in Entertainment
Hey there! Today we’re diving into the fascinating world of generative AI in entertainment. Picture this: a Netflix powered by generative AI where movies are actually created based on prompts. It’s like having an AI scriptwriter and director all in one!
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Imagine how this could revolutionize the way we approach scriptwriting and audio-visual content creation. With generative AI, we could have an endless stream of unique and personalized movies tailor-made to our interests. No more scrolling through endless options trying to find something we like – the AI knows exactly what we’re into and delivers a movie that hits all the right notes.
But, of course, this innovation isn’t without its challenges and ethical considerations. While generative AI offers immense potential, we must be mindful of the biases it may inadvertently introduce into the content it creates. We don’t want movies that perpetuate harmful stereotypes or discriminatory narratives. Striking the right balance between creativity and responsibility is crucial.
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Additionally, there’s the question of copyright and ownership. Who would own the rights to a movie created by a generative AI? Would it be the platform, the AI, or the person who originally provided the prompt? This raises a whole new set of legal and ethical questions that need to be addressed.
Overall, generative AI has the power to transform our entertainment landscape. However, we must tread carefully, ensuring that the benefits outweigh the potential pitfalls. Exciting times lie ahead in the world of AI-driven entertainment!
AI Jobs and Career
And before we wrap up today's AI news, I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.
The Future of Generative AI: The Impact on Creative Professions
In this segment, let’s talk about how AI advancements are impacting creative professions. As a graphic designer myself, I have some personal concerns about the need to adapt to these advancements. It’s important for us to understand how generative AI might transform jobs in creative fields.
AI is becoming increasingly capable of producing creative content such as music, art, and even writing. This has raised concerns among many creatives, including myself, about the future of our profession. Will AI eventually replace us? While it’s too early to say for sure, it’s important to recognize that AI is more of a tool to enhance our abilities rather than a complete replacement.
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Generative AI, for example, can help automate certain repetitive tasks, freeing up our time to focus on more complex and creative work. This can be seen as an opportunity to upskill and expand our expertise. By embracing AI and learning to work alongside it, we can adapt to the changing landscape of creative professions.
Upskilling is crucial in this evolving industry. It’s important to stay updated with the latest AI technologies and learn how to leverage them in our work. By doing so, we can stay one step ahead and continue to thrive in our creative careers.
Overall, while AI advancements may bring some challenges, they also present us with opportunities to grow and innovate. By being open-minded, adaptable, and willing to learn, we can navigate these changes and continue to excel in our creative professions.
The Future of Generative AI: Beyond Content Generation – The Realm of Physical Alterations
Today, folks, we’re diving into the captivating world of physical alterations. You see, there’s more to AI than just creating content. It’s time to explore how AI can take a leap into the realm of altering our DNA and advancing medical applications.
Imagine this: using AI to enhance our physical selves. Picture people with wings or scales. Sounds pretty crazy, right? Well, it might not be as far-fetched as you think. With generative AI, we have the potential to take our bodies to the next level. We’re talking about truly transforming ourselves, pushing the boundaries of what it means to be human.
But let’s not forget to consider the ethical and societal implications. As exciting as these advancements may be, there are some serious questions to ponder. Are we playing God? Will these enhancements create a divide between those who can afford them and those who cannot? How will these alterations affect our sense of identity and equality?
It’s a complex debate, my friends, one that raises profound moral and philosophical questions. On one hand, we have the potential for incredible medical breakthroughs and physical advancements. On the other hand, we risk stepping into dangerous territory, compromising our values and creating a divide in society.
So, as we venture further into the realm of physical alterations, let’s keep our eyes wide open and our minds even wider. There’s a lot at stake here, and it’s up to us to navigate the uncharted waters of AI and its impact on our very existence.
Generative AI as Personalized Technology Tools
In this segment, let’s dive into the exciting world of generative AI and how it can revolutionize personalized technology tools. Picture this: AI algorithms evolving so rapidly that they can create customized solutions tailored specifically to individual needs! It’s mind-boggling, isn’t it?
Now, let’s draw a comparison to “Clarke tech,” where technology appears almost magical. Just like in Arthur C. Clarke’s famous quote, “Any sufficiently advanced technology is indistinguishable from magic.” Generative AI has the potential to bring that kind of magic to our lives by creating seemingly miraculous solutions.
One of the key advantages of generative AI is its ability to understand context. This means that AI systems can comprehend the nuances and subtleties of our queries, allowing them to provide highly personalized and relevant responses. Imagine having a chatbot that not only recognizes what you’re saying but truly understands it in context, leading to more accurate and helpful interactions.
The future of generative AI holds immense promise for creating personalized experiences. As it continues to evolve, we can look forward to technology that adapts itself to our unique needs and preferences. It’s an exciting time to be alive, as we witness the merging of cutting-edge AI advancements and the practicality of personalized technology tools. So, brace yourselves for a future where technology becomes not just intelligent, but intelligently tailored to each and every one of us.
Generative AI in Everyday Technology (1-3 Year Predictions)
So, let’s talk about what’s in store for AI in the near future. We’re looking at a world where AI will become a standard feature in our smartphones, social media platforms, and even education. It’s like having a personal assistant right at our fingertips.
One interesting trend that we’re seeing is the blurring lines between AI-generated and traditional art. This opens up exciting possibilities for artists and enthusiasts alike. AI algorithms can now analyze artistic styles and create their own unique pieces, which can sometimes be hard to distinguish from those made by human hands. It’s kind of mind-blowing when you think about it.
Another aspect to consider is the potential ubiquity of AI in content creation tools. We’re already witnessing the power of AI in assisting with tasks like video editing and graphic design. But in the not too distant future, we may reach a point where AI is an integral part of every creative process. From writing articles to composing music, AI could become an indispensable tool. It’ll be interesting to see how this plays out and how creatives in different fields embrace it.
All in all, AI integration in everyday technology is set to redefine the way we interact with our devices and the world around us. The lines between human and machine are definitely starting to blur. It’s an exciting time to witness these innovations unfold.
So picture this – a future where artificial intelligence is seamlessly woven into every aspect of our lives. We’re talking about a world where AI is a part of our daily routine, be it for fun and games or even the most mundane of tasks like operating appliances.
But let’s take it up a notch. Imagine fully immersive virtual reality worlds that are not just created by AI, but also have AI-generated narratives. We’re not just talking about strapping on a VR headset and stepping into a pre-designed world. We’re talking about AI crafting dynamic storylines within these virtual realms, giving us an unprecedented level of interactivity and immersion.
Now, to make all this glorious future-tech a reality, we need to consider the advancements in material sciences and computing that will be crucial. We’re talking about breakthroughs that will power these AI-driven VR worlds, allowing them to run flawlessly with immense processing power. We’re talking about materials that enable lightweight, comfortable VR headsets that we can wear for hours on end.
It’s mind-boggling to think about the possibilities that this integration of AI, VR, and material sciences holds for our future. We’re talking about a world where reality and virtuality blend seamlessly, and where our interactions with technology become more natural and fluid than ever before. And it’s not a distant future either – this could become a reality in just the next decade.
The Future of Generative AI: Long-Term Predictions and Societal Integration (10 Years)
So hold on tight, because the future is only getting more exciting from here!
So, here’s the deal. We’ve covered a lot in this episode, and it’s time to sum it all up. We’ve discussed some key points when it comes to generative AI and how it has the power to reshape our world. From creating realistic deepfake videos to generating lifelike voices and even designing unique artwork, the possibilities are truly mind-boggling.
But let’s not forget about the potential ethical concerns. With this technology advancing at such a rapid pace, we must be cautious about the misuse and manipulation that could occur. It’s important for us to have regulations and guidelines in place to ensure that generative AI is used responsibly.
Now, I want to hear from you, our listeners! What are your thoughts on the future of generative AI? Do you think it will bring positive changes or cause more harm than good? And what about your predictions? Where do you see this technology heading in the next decade?
Remember, your voice matters, and we’d love to hear your insights on this topic. So don’t be shy, reach out to us and share your thoughts. Together, let’s unravel the potential of generative AI and shape our future responsibly.
Oh, if you’re looking to dive deeper into the fascinating world of artificial intelligence, I’ve got just the thing for you! There’s a fantastic book called “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence” that you absolutely have to check out. Trust me, it’s a game-changer.
What’s great about this book is that it’s the ultimate guide to understanding artificial intelligence. It takes those complex concepts and breaks them down into digestible pieces, answering all those burning questions you might have. No more scratching your head in confusion!
Now, the best part is that it’s super accessible. You can grab a copy of “AI Unraveled” from popular platforms like Shopify, Apple, Google, or Amazon. Just take your pick, and you’ll be on your way to unraveling the mysteries of AI!
So, if you’re eager to expand your knowledge and get a better grasp on artificial intelligence, don’t miss out on “AI Unraveled.” It’s the must-have book that’s sure to satisfy your curiosity. Happy reading!
The Future of Generative AI: Conclusion
In this episode, we uncovered the groundbreaking potential of generative AI in entertainment, creative jobs, DNA alteration, personalized solutions, AI integration in daily life, and more, while also exploring the ethical implications – don’t forget to grab your copy of “AI Unraveled” for a deeper understanding! Join us next time on AI Unraveled as we continue to demystify frequently asked questions on artificial intelligence and bring you the latest trends in AI, including ChatGPT advancements and the exciting collaboration between Google Brain and DeepMind. Stay informed, stay curious, and don’t forget to subscribe for more!
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Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book “AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence,” available at Shopify, Apple, Google, or Amazon
Elevate Your Design Game with Photoshop’s Generative Fill
Take your creative projects to the next level with #Photoshop’s Generative Fill! This AI-powered tool is a game-changer for designers and artists.
Tutorial: How to Use generative Fill
➡ Use any selection tool to highlight an area or object in your image. Click the Generative Fill button in the Contextual Task Bar.
➡ Enter a prompt describing your vision in the text-entry box. Or, leave it blank and let Photoshop auto-fill the area based on the surroundings.
➡ Click ‘Generate’. Be amazed by the thumbnail previews of variations tailored to your prompt. Each option is added as a Generative Layer in your Layers panel, keeping your original image intact.
Pro Tip: To generate even more options, click Generate again. You can also try editing your prompt to fine-tune your results. Dream it, type it, see it
https://youtube.com/shorts/i1fLaYd4Qnk
Latest proposed guidelines for tool-generated / AI submissions to the Linux kernelby /u/Fcking_Chuck (Artificial Intelligence (AI)) on November 15, 2025 at 11:57 am submitted by /u/Fcking_Chuck [link] [comments]
- What kind of dataset was Sesame CSM-8B most likely trained on?by /u/Adept_Lawyer_4592 (Artificial Intelligence) on November 15, 2025 at 11:41 am
I’m curious about the Sesame CSM-8B model. Since the creators haven’t publicly released the full training data details, what type of dataset do you think it was most likely trained on? Specifically: What kinds of sources would a model like this typically use? Would it include conversational datasets, roleplay data, coding data, multilingual corpora, web scrapes, etc.? Anything known or inferred from benchmarks or behavior? I’m mainly trying to understand what the dataset probably includes and why CSM-8B behaves noticeably “smarter” than other 7B–8B models like Moshi despite similar claimed training approaches. submitted by /u/Adept_Lawyer_4592 [link] [comments]
Senators announce bill that would ban AI chatbot companions for minorsby /u/F0urLeafCl0ver (Artificial Intelligence (AI)) on November 15, 2025 at 11:13 am submitted by /u/F0urLeafCl0ver [link] [comments]
‘Vibe coding’ beats ‘clanker’ to be Collins dictionary’s word of the yearby /u/F0urLeafCl0ver (Artificial Intelligence (AI)) on November 15, 2025 at 10:57 am submitted by /u/F0urLeafCl0ver [link] [comments]
EU prepares to delay landmark AI rules by one yearby /u/F0urLeafCl0ver (Artificial Intelligence (AI)) on November 15, 2025 at 10:41 am submitted by /u/F0urLeafCl0ver [link] [comments]
Forget AGI—Sam Altman celebrates ChatGPT finally following em dash formatting rulesby /u/F0urLeafCl0ver (Artificial Intelligence (AI)) on November 15, 2025 at 10:17 am submitted by /u/F0urLeafCl0ver [link] [comments]
- Anyone else losing traffic after AI Overview update?by /u/Real-Assist1833 (Artificial Intelligence) on November 15, 2025 at 9:20 am
My impressions are the same, but clicks went down a lot. I think AI Overview might be taking clicks. Anyone else seeing this? submitted by /u/Real-Assist1833 [link] [comments]
- I've been digging into OpenRouter lately, and I noticed that Qwen's API is quite a favoriteby /u/Tweetle_cock (Artificial Intelligence) on November 15, 2025 at 8:54 am
Its ranking in the top 10 for various categories like programming, SEO, marketing, and academia. It's pretty interesting to see how this Chinese LLM is carving out a space in the global API market. What does this mean for developer preference? Well, it suggests that there's a growing acceptance of Chinese models in areas traditionally dominated by Western tech. Developers are looking for effective tools, and if Qwen delivers results, they’ll use it regardless of origin. Market Share & Developer Adoption As of mid-August 2025, Alibaba's Qwen 3 Coder has snagged over 20% of the usage share on OpenRouter, putting it right behind Anthropic's Claude Sonnet 4. That’s a big deal in a crowded market. It shows that developers are really leaning towards Qwen, which is pretty impressive. And it’s not just Qwen. In November 2025, Chinese AI tools were dominating the scene, with models from MiniMax, Z.ai, and DeepSeek taking up seven spots in the top 20. Four of the top ten programming models were from Chinese companies. That’s a clear signal that these models are gaining traction. After viewing a few sources, It seems to boil down to performance and cost. 1. Competitive Performance: Qwen2.5-Max is holding its own against some of the best out there. In benchmarks like LiveCodeBench, it’s shown it can code just as well, if not better, than some leading models. That’s a solid reason to switch. 2. Cost-Efficiency: Pricing is a huge factor. Some models, like DeepSeek, are reportedly up to 40 times cheaper than OpenAI's offerings. For startups and budget-conscious developers, that’s a no-brainer. Plus, Alibaba’s strategy of offering free access to Qwen 3 Coder has really helped it gain users quickly. 3. Real-World Endorsements: It’s not just numbers. Big names like Airbnb and Social Capital are backing Qwen. Airbnb’s CEO called it “fast and cheap,” and that kind of endorsement carries weight in the developer community. But there's still that lingering doubt about long-term viability. Will these models maintain their performance as they scale? Can they keep up with the rapid pace of innovation in the West? It’s a bit of a gamble, but the interest is definitely there. Now, while it’s exciting to see these Chinese models gaining ground, there are still some hurdles. Analysts point out that while they’re making strides, getting into Fortune 500 companies or highly regulated sectors is still a challenge. The US tech giants still hold a lot of power in those areas. Although there are geopolitical risks, privacy concerns, and questions about the long-term sustainability of model sustainability still exist, would people overlook these factors? Will they choose a model simply because its performance is strong and its price-performance ratio is high? submitted by /u/Tweetle_cock [link] [comments]
- What are your thoughts on taking a house loan when massive automation and job disruption might be right around the corner?by /u/MatthewJet28 (Artificial Intelligence (AI)) on November 15, 2025 at 8:40 am
I keep hearing that automation and AI could wipe out a huge number of jobs in the next years. If that’s true, how risky is it to lock myself into a long-term house loan right now? I’m in rent at the moment. I’d love to hear how others are thinking about this. submitted by /u/MatthewJet28 [link] [comments]
- As a full stack developer How frequently should I use Ai in my developmentby /u/AdDramatic7593 (Artificial Intelligence) on November 15, 2025 at 8:26 am
Hey, I am a full stack developer and I am really curious how frequently should I use Ai. I am at intermediate stage like I know most concept of MERN stack and NextJs what I am lacking is good projects. Please suggest in comments.! submitted by /u/AdDramatic7593 [link] [comments]
- Latest proposed guidelines for tool-generated / AI submissions to the Linux kernelby /u/Fcking_Chuck (Artificial Intelligence (AI)) on November 15, 2025 at 11:57 am
submitted by /u/Fcking_Chuck [link] [comments]
- What kind of dataset was Sesame CSM-8B most likely trained on?by /u/Adept_Lawyer_4592 (Artificial Intelligence) on November 15, 2025 at 11:41 am
I’m curious about the Sesame CSM-8B model. Since the creators haven’t publicly released the full training data details, what type of dataset do you think it was most likely trained on? Specifically: What kinds of sources would a model like this typically use? Would it include conversational datasets, roleplay data, coding data, multilingual corpora, web scrapes, etc.? Anything known or inferred from benchmarks or behavior? I’m mainly trying to understand what the dataset probably includes and why CSM-8B behaves noticeably “smarter” than other 7B–8B models like Moshi despite similar claimed training approaches. submitted by /u/Adept_Lawyer_4592 [link] [comments]
- Senators announce bill that would ban AI chatbot companions for minorsby /u/F0urLeafCl0ver (Artificial Intelligence (AI)) on November 15, 2025 at 11:13 am
submitted by /u/F0urLeafCl0ver [link] [comments]
- ‘Vibe coding’ beats ‘clanker’ to be Collins dictionary’s word of the yearby /u/F0urLeafCl0ver (Artificial Intelligence (AI)) on November 15, 2025 at 10:57 am
submitted by /u/F0urLeafCl0ver [link] [comments]
- EU prepares to delay landmark AI rules by one yearby /u/F0urLeafCl0ver (Artificial Intelligence (AI)) on November 15, 2025 at 10:41 am
submitted by /u/F0urLeafCl0ver [link] [comments]
- Forget AGI—Sam Altman celebrates ChatGPT finally following em dash formatting rulesby /u/F0urLeafCl0ver (Artificial Intelligence (AI)) on November 15, 2025 at 10:17 am
submitted by /u/F0urLeafCl0ver [link] [comments]
- Anyone else losing traffic after AI Overview update?by /u/Real-Assist1833 (Artificial Intelligence) on November 15, 2025 at 9:20 am
My impressions are the same, but clicks went down a lot. I think AI Overview might be taking clicks. Anyone else seeing this? submitted by /u/Real-Assist1833 [link] [comments]
- I've been digging into OpenRouter lately, and I noticed that Qwen's API is quite a favoriteby /u/Tweetle_cock (Artificial Intelligence) on November 15, 2025 at 8:54 am
Its ranking in the top 10 for various categories like programming, SEO, marketing, and academia. It's pretty interesting to see how this Chinese LLM is carving out a space in the global API market. What does this mean for developer preference? Well, it suggests that there's a growing acceptance of Chinese models in areas traditionally dominated by Western tech. Developers are looking for effective tools, and if Qwen delivers results, they’ll use it regardless of origin. Market Share & Developer Adoption As of mid-August 2025, Alibaba's Qwen 3 Coder has snagged over 20% of the usage share on OpenRouter, putting it right behind Anthropic's Claude Sonnet 4. That’s a big deal in a crowded market. It shows that developers are really leaning towards Qwen, which is pretty impressive. And it’s not just Qwen. In November 2025, Chinese AI tools were dominating the scene, with models from MiniMax, Z.ai, and DeepSeek taking up seven spots in the top 20. Four of the top ten programming models were from Chinese companies. That’s a clear signal that these models are gaining traction. After viewing a few sources, It seems to boil down to performance and cost. 1. Competitive Performance: Qwen2.5-Max is holding its own against some of the best out there. In benchmarks like LiveCodeBench, it’s shown it can code just as well, if not better, than some leading models. That’s a solid reason to switch. 2. Cost-Efficiency: Pricing is a huge factor. Some models, like DeepSeek, are reportedly up to 40 times cheaper than OpenAI's offerings. For startups and budget-conscious developers, that’s a no-brainer. Plus, Alibaba’s strategy of offering free access to Qwen 3 Coder has really helped it gain users quickly. 3. Real-World Endorsements: It’s not just numbers. Big names like Airbnb and Social Capital are backing Qwen. Airbnb’s CEO called it “fast and cheap,” and that kind of endorsement carries weight in the developer community. But there's still that lingering doubt about long-term viability. Will these models maintain their performance as they scale? Can they keep up with the rapid pace of innovation in the West? It’s a bit of a gamble, but the interest is definitely there. Now, while it’s exciting to see these Chinese models gaining ground, there are still some hurdles. Analysts point out that while they’re making strides, getting into Fortune 500 companies or highly regulated sectors is still a challenge. The US tech giants still hold a lot of power in those areas. Although there are geopolitical risks, privacy concerns, and questions about the long-term sustainability of model sustainability still exist, would people overlook these factors? Will they choose a model simply because its performance is strong and its price-performance ratio is high? submitted by /u/Tweetle_cock [link] [comments]
- What are your thoughts on taking a house loan when massive automation and job disruption might be right around the corner?by /u/MatthewJet28 (Artificial Intelligence (AI)) on November 15, 2025 at 8:40 am
I keep hearing that automation and AI could wipe out a huge number of jobs in the next years. If that’s true, how risky is it to lock myself into a long-term house loan right now? I’m in rent at the moment. I’d love to hear how others are thinking about this. submitted by /u/MatthewJet28 [link] [comments]
- As a full stack developer How frequently should I use Ai in my developmentby /u/AdDramatic7593 (Artificial Intelligence) on November 15, 2025 at 8:26 am
Hey, I am a full stack developer and I am really curious how frequently should I use Ai. I am at intermediate stage like I know most concept of MERN stack and NextJs what I am lacking is good projects. Please suggest in comments.! submitted by /u/AdDramatic7593 [link] [comments]
