fahimintech.bsky.social
🤖 Software Dev by day and AI & Crypto Enthusiast at night
⭐ I love sharing all the new tech developments with you
📫 DM me for collaboration
AI MARKET WATCH --> https://t.co/WMNyhRhSAO
566 posts
43 followers
89 following
Getting Started
Active Commenter
comment in response to
post
7/ Final Thoughts 🔥
Pika is lowkey the future of video editing. Whether you're a content creator, social media addict, or just wanna mess around with cool AI tools, this is a must-try. Who’s already using it? 👀
Try it out pika.art
comment in response to
post
6/ Super Easy to Use 📲
No need for pro editing skills—Pika runs on iOS, Android, & Web. Just upload a video, swap or add whatever you want, and boom—AI magic happens.
comment in response to
post
5/ Pikaffects = Visual Magic 🎞️
Pika isn’t just about swapping & adding—it’s got crazy effects too. Melt, explode, levitate, squish… your videos just got way more interesting.
comment in response to
post
4/ Pikadditions = Adding the Unexpected 🎭
You’re not just swapping—you can add things too. Ever wanted a dragon flying in your backyard or a robot DJ at your party? Pikadditions makes it happen. 🐉🤖
pika.art/video/538b70...
comment in response to
post
3/ Pikaswaps = Insane Video Replacements 🔄
Want to swap a car for a spaceship? Or your friend’s hat for a crown? 👑 Pikaswaps lets you swap anything in your video seamlessly—and it actually looks REAL.
comment in response to
post
2/ What is Pika? 🤖🎨
Think of Pika as your AI video editing sidekick. It lets you edit, enhance, and remix videos with just a few clicks. No complex software, no hours of editing—just pure creativity.
comment in response to
post
6/ How’s It Performing? ⚡
Devs are saying Cline blows Cursor out of the water, but it uses more tokens, so if you're on a budget, be mindful of API costs. Still, for deep integration with your codebase, it’s next level.
comment in response to
post
5/ Totally Open-Source & Extensible 🛠️
You can tweak Cline to fit your workflow or even build custom AI-powered tools using its Model Context Protocol (MCP). If you love hacking & customizing, this is the AI assistant for you.
comment in response to
post
4/ Privacy & Security First 🔒
Unlike cloud-based AI coding tools, Cline keeps your code local and doesn’t track or store data. You can also choose your own AI models like OpenAI, Anthropic, or OpenRouter. No creepy data policies here.
comment in response to
post
3/ Understands Your Codebase 💻
Cline isn’t just reading your prompts—it’s monitoring your files, terminal, and error logs in real time. That means fewer dumb AI mistakes and more useful coding suggestions that actually fit your project.
comment in response to
post
2/ Not Just a Code Generator 🤖
Unlike basic AI coding tools, Cline actually thinks before it acts. It breaks down your request, plans a solution, and asks for your approval before making changes. It’s like having an AI dev intern that actually listens.
comment in response to
post
6/ Final thoughts 🔥
Windsurf just made one of the best AI models fully unlimited for Pro & Ultimate users. If you’re serious about AI workflows, this is huge. Who’s already testing it out? 👀
comment in response to
post
5/ Why does this matter? ⚡
If you’ve ever hit a cap on AI usage right when you needed it most, this is a game-changer. Unlimited DeepSeek-V3 = more productivity, more creativity, and more fun messing around with AI.
comment in response to
post
4/ What about data privacy? 🔒
For those worried, DeepSeek-V3 runs on U.S. servers—so no data is sent to China. Windsurf is making sure privacy concerns don’t hold people back from using the AI.
comment in response to
post
3/ Why did Windsurf do this? 💡
They optimized the inference process (aka made it more efficient), cutting down costs and passing the perks to users. Basically, you get unlimited AI without them taking a financial hit. Win-win.
comment in response to
post
2/ What does this mean? 🤖
If you’re on Windsurf Pro or Ultimate, you can now use DeepSeek-V3 as much as you want—no limits, no extra fees. Whether you're coding, brainstorming, or just messing around, you’ve got full access.
comment in response to
post
7/ Final Thoughts 💡
Muse is a glimpse into the future of AI-generated gaming—where AI doesn’t just assist but actually "plays" the game. Whether this is a developer’s dream or a creative nightmare remains to be seen. Thoughts? 👀
comment in response to
post
6/ The Industry Reacts 🎭
Microsoft sees Muse as a tool for game creators, but critics fear it could devalue artistic efforts in gaming. The AI vs. human creativity debate is only heating up. Will AI be an ally or a threat to game devs?
comment in response to
post
5/ But There’s a Catch… ⚠️
Muse currently outputs low-resolution gameplay (300x180 pixels)—meaning it's not quite ready for full-scale game generation yet. Also, some game devs are worried AI could replace creative roles rather than assist them.
comment in response to
post
4/ What’s the Potential? 🔥
- Game Development: Devs can use Muse to quickly prototype levels, animations, and mechanics, reducing production time.
- Game Preservation: AI-generated gameplay could help revive old titles without needing the original engine or assets.
comment in response to
post
3/ How It Works 🎥
Muse was developed with Ninja Theory (Bleeding Edge, Hellblade). By analyzing player inputs & game environments, it generates new animations, interactions, and game physics in real time, filling in missing frames fluidly.
comment in response to
post
2/ What is Muse? 🤖
Muse is a generative AI model trained on over 1 billion gameplay images and controller actions. It can extend a single second of gameplay into two minutes of unique, coherent sequences—essentially "playing the game" on its own.
comment in response to
post
8/ Multimodal AI is here—combining text, images, audio, and video into smarter, more capable models. Companies like Meta, Google, and Baidu are leading the charge. Who’s building the AI agent of the future? 🔥
comment in response to
post
7/ What’s Next? 🌍
As multimodal models get smarter, we’re moving closer to AI that can understand the world like humans do—transforming everything from search engines and creative tools to autonomous systems and virtual assistants.
comment in response to
post
6/ Baidu’s Ernie 5 (Coming Soon) 🇨🇳
Set to drop in late 2025, Ernie 5 will handle text, video, images, and audio, positioning Baidu as a serious contender in the global AI race. Watch this space—China’s AI push is heating up.
comment in response to
post
5/ Google’s Gemini 2.0 🌐
Google’s Gemini 2.0, launched in Dec 2024, was designed natively multimodal—meaning it can generate and understand audio and visual data alongside text. A huge leap for AI agents that perform tasks independently.
comment in response to
post
4/ Meta’s Llama 3.2 🦙
In 2024, Meta dropped Llama 3.2, adding visual processing capabilities to its open-source LLMs. Now, the model can interpret images and text together, opening new possibilities for AI agents and VR applications.
comment in response to
post
3/ Why It Matters 🔍
Multimodal AI means better virtual assistants, more interactive chatbots, and AI agents that can see, hear, and understand—enabling autonomous cars, advanced robotics, and next-gen creative tools.
comment in response to
post
2/ What is Multimodal AI? 🤖
Unlike traditional AI that works with a single data type, multimodal models combine different inputs—like text, speech, and visuals—to understand context better. This creates smarter, more human-like AI systems.
comment in response to
post
7/ Final Thoughts 🔥
DeepSeek-R1 proves that reinforcement learning + chain-of-thought is the future of AI reasoning. Smarter, more efficient, and open-source. Could this change how AI learns forever?
comment in response to
post
6/ Why This Matters 🌍
DeepSeek-R1 isn’t just another LLM—it’s an AI reasoning engine that can:
- Solve complex math problems 📐
- Write optimized code 💻
- Adapt and self-correct over time 🔄
It’s one of the most promising open-source AI models for real-world problem-solving.
comment in response to
post
5/ Efficient Yet Powerful ⚡
Despite having 671B parameters, DeepSeek-R1 uses a Mixture of Experts (MoE) approach, activating only parts of the model per task. That means high performance with lower compute costs—a major advantage over traditional LLMs.
comment in response to
post
4/ How It Was Trained 📊
DeepSeek-R1 went through a multi-stage process:
- Fine-tuning with curated examples 📚
- Reinforcement learning to improve reasoning 🎯
- Supervised tweaks for clarity & readability ✍️
- This makes its output more structured, logical, and human-like.
comment in response to
post
3/ Chain-of-Thought Prompting = Better Problem-Solving 🧠
Instead of just spitting out an answer, DeepSeek-R1 "thinks out loud," breaking down problems step by step. This helps it reason more accurately, especially in math, coding, and logic-heavy tasks.
comment in response to
post
2/ Reinforcement Learning = Smarter AI 🤖
Unlike traditional models that rely on labeled data, DeepSeek-R1 learns through trial and error. It refines its reasoning over time, making it more adaptive and capable of solving complex problems without direct human supervision.
comment in response to
post
9/ The Open-Source AI Revolution 🌍
From China’s DeepSeek & Qwen to Falcon in the UAE and Mistral in France, AI innovation is truly global. Open-source models are leveling the playing field—who will lead next? 🔥
comment in response to
post
8/ BLOOM (Global 🌍)
A multilingual, open-weight LLM built by BigScience, BLOOM is trained on 46+ languages and represents one of the largest collaborative AI projects worldwide.
comment in response to
post
7/ Mistral (France 🇫🇷)
Mistral’s dense and MoE-based models lead the way in compact, high-efficiency AI. Their open-weight models are known for strong reasoning skills and serve as Europe’s leading AI contribution.
comment in response to
post
6/ Falcon 180B (UAE 🇦🇪)
Trained on 3.5 trillion tokens, Falcon 180B outperforms LLaMA 2 and GPT-3.5 on key benchmarks. This UAE-backed model shows how AI innovation is expanding beyond the U.S. and China.
comment in response to
post
5/ LLaMA 3.1 (USA 🇺🇸)
Meta’s latest LLaMA model is a highly efficient, open-source powerhouse, optimized for chatbots, reasoning, and long-form content generation. A strong alternative to proprietary AI models.
comment in response to
post
4/ Yi Series (China 🇨🇳)
From 01.AI, Yi models are bilingual AI experts, trained on 3 trillion tokens for superior language understanding and commonsense reasoning. One of the strongest multilingual models in the open-source space.
comment in response to
post
3/ Qwen (China 🇨🇳)
Alibaba’s Qwen series dominates open-source AI rankings. Trained on vast datasets, these models are optimized for multilingual understanding, reasoning, and enterprise applications.
comment in response to
post
2/ DeepSeek-R1 (China 🇨🇳)
This 671B Mixture-of-Experts model is a powerhouse in math, coding, and logic-based reasoning. With its efficient parameter activation, it delivers high performance at lower compute costs, making AI more accessible.