EyeingAI

BYE CLAWDBOT. THE INTERNET IS NOW HANDS-FREE. > It’s Claude Cowork + Browser Agent + Copilot + File Ops in ONE. > Runs on desktop, no Mac Mini needed. I’ve never seen an AI workspace like this. Full breakdown (with use cases): 👇

@iamfakhrealam Nice list, saving this one.

THE ULTIMATE 2026 TOOLKIT

A lot of AI-generated visuals look great until you try to actually use them in something real... a presentation, an ad, a printed piece. SenseNova U1 Pro was optimized with commercial use cases in mind: corporate infographics, marketing visuals, educational illustrations and storyboards, all built around the idea that the output should be ready to deliver.

Try it: packify.ai Use my code EYE20 for 20% off. #aidesign #packifydesign

NO. WAY. Tavus built a way to speak an AI coworker into existence. Recruiter, tutor, nurse, trainer, sales rep... describe the role, and the PAL comes alive with memory, vision, voice & tools. I already have more ideas than I’d know what to do with.

@tavus People used to learn tools, now the tools are starting to learn people. 👌

Introducing Tavus PAL Maker. The first no-code way to build a PAL, a new kind of application that sees, hears, acts, remembers, and emotionally understands you like a friend or coworker, whether it's working with one person or a thousand. Anyone can now describe the PAL they imagine and watch it become real. A tutor that remembers you. A nurse that checks in after surgery. Someone who makes sure your grandmother is never lonely. All through a simple conversation.

@HeyAmit_ @AIpackify sounds good

@EyeingAI @AIpackify this is new to me, will check it.

Packaging designers might hate how easy this is. I gave @AIpackify one idea for a luxury chocolate gift box, and it built the full 3D packaging around it. But the first result wasn’t where it ended. You can go from idea → 3D box design → editable layout → production-ready dieline in one workflow. I kept refining the design through chat, changed the parts I didn’t like, opened up individual layers and adjusted the packaging without regenerating the whole thing from scratch. Once the box was ready, I used the same design to create different backgrounds and polished product shots that actually looked usable for a store or campaign. The best part was not having to start over every time I wanted one small change. I could just keep working on the same idea until it looked right.

@iamfakhrealam @AIpackify for sure

@EyeingAI @AIpackify A designing best tool

@iamfakhrealam I want to try it too.

I GAVE THE SAME CODE TO CODEX.. Here’s the result:

@rezkhere AI voice has come a long way.

Remember when AI couldn't draw a hand? Seven fingers, knuckles pointing backwards. And the AI spaghetti videos. That was three years ago. Images are done now. Video is close enough that you scrolled past AI ads this week and clocked exactly zero of them. Code writes itself and there are like 40 coding agents. AI voice spent that entire stretch sounding like the lady voice in a 2014 GPS. Flat, evenly spaced and every sentence landing with the same weight, like it's reading from a phone book. Here's why it stayed broken. Bad images are funny. You screenshot the seven fingers, it goes viral for being bad, someone fixes it. Bad audio is just boring. It doesn't fail spectacularly, so it never got that pressure. The bigger problem was the scoring. The whole industry graded AI voices on whether you could make out the words. So the models learned to over pronounce everything, hitting every syllable like a newsreader. Perfectly clear but robotic. Everyone was chasing a score that had nothing to do with sounding human. Meanwhile a small open-source team was doing something harder. Their lead researcher, an ex-NVIDIA engineer, went all in on an approach the rest of the field had written off. Two years early. No funding announcements or launch tour. He just put the whole thing on GitHub for free. It's sitting at 50,000+ stars now. Then they ran the test everyone else avoided. For 10 days they piped real users through their model and every big competitor with the listener never told which was which. Thousands of real people, real scripts. Whichever voice you actually preferred, they logged it. Theirs came out on top. It beat ElevenLabs about 6 times out of 10, head to head. It beat OpenAI's voice model 8 times out of 10. The gap was widest on the breathing, the pauses, the little hesitations, which is exactly the stuff that makes a voice sound like a person instead of a machine reading. They ran on real users rather than a lab, which is more than most of these claims can say. That's Fish Audio. This week they shipped S2.1 Pro: - Clone anyone's voice from 15 seconds of audio - Fast enough to hold a live conversation - 83 languages, one model - Type [whisper] or [sigh] mid-sentence and it does it - Around 70% cheaper than ElevenLabs - Free to download and run yourself Voice was the last thing on the list. Around 20 people with a free repo got there before other billion dollar companies did.

@HeyAmit_ Good point. The difference is often in everything built around the model.

Most AI apps plug a model into an API and call it a day. Verdent didn't stop there. Instead of simply exposing Kimi K3 through an API, their official collaboration with Kimi (Moonshot AI) focuses on optimizing the entire coding workflow around it. If you build AI agents every day, that distinction matters. Better execution. More consistent workflows. Lower cost. Experience Kimi K3 at its best in Verdent, with maximum coding performance at minimal cost. #Verdent #KimiK3 #Moonshot

@shushant_l Great list. There are a few here I haven't explored yet.

I'm genuinely surprised most people still struggle to find the best places to learn new skills online. Here are 20 of the best websites to accelerate your learning for free and at low cost. --- 1. Coursera offers university courses, certifications, and professional specializations. --- 2. edX gives you access to courses from top universities like MIT and Harvard. --- 3. Khan Academy is one of the best free platforms for math, science, and computing. --- 4. MIT OpenCourseWare lets you study real MIT course materials completely free. --- 5. LinkedIn Learning helps you build business, technology, and leadership skills. --- 6. Udemy provides affordable practical courses across thousands of subjects. --- 7. freeCodeCamp teaches programming, AI, and data science through hands-on projects. --- 8. Codecademy makes learning to code interactive directly inside your browser. --- 9. Brilliant improves problem-solving with interactive math and science lessons. --- 10. DataCamp focuses on data science, AI, analytics, and machine learning skills. --- 11. The Odin Project offers a complete project-based full stack development roadmap. --- 12. Google Scholar helps you discover high quality academic research and publications. --- 13. TED shares world-class talks covering technology, business, psychology, and more. --- 14. FutureLearn provides structured courses from leading universities worldwide. --- 15. Duolingo makes language learning engaging through short gamified lessons. --- 16. MasterClass lets you learn directly from world-renowned experts and creators. --- 17. Skillshare is ideal for creative skills like design, writing, and video creation. --- 18. HubSpot Academy offers free certifications in marketing, sales, CRM, and business. --- 19. Harvard Online provides high quality courses in business, technology, and leadership. --- 20. OpenLearn gives free access to thousands of university level learning resources. --- To learn more, check the infographic.

@Parul_Gautam7 The local editing feature is the one I'm most looking forward to.

Most AI video tools can create a striking moment. The harder part is keeping the whole scene consistent. Dreamina Seedance 2.5 is coming soon to the Dreamina platform, bringing several features designed for creators: - Up to 50 multimodal references Use images, videos, audio, and visual references to guide the generation. - Up to 30-second continuous videos Build longer story beats without cutting everything into tiny clips. - White-model and green-screen control Guide movement, composition, and visual performance with greater precision. - Multilingual creation Create content for audiences across different markets. - Precise local editing Adjust selected parts of a video while keeping the rest intact. AI storytelling is about to become more flexible—and much easier to shape. 👉 aisecret.me/seedance25 #dreamina #dreaminapartner #seedance #dreaminaseedance25

@nrqa__ @SenseTime_AI Nice overview.

wow.. computer vision just got collapsed into one model @SenseTime_AI open-sourced SenseNova-Vision, and the idea is simple: stop stitching five specialist models together to do one job. detection, segmentation, depth, surface normals, OCR, keypoints, 3D reconstruction. one set of weights, and every task is a text instruction to the same model I threw a living room at it and asked for panoptic segmentation: it pulled ten separate potted plants out of a wall of overlapping leaves. it told the wooden floor apart from the rug on top of it. it found two cups on a coffee table I barely noticed myself it also labelled a couch cushion "book", so it's not magic. but the masks are clean and the reasoning is mostly there the prompt is a structured one, category list spelled out, output format specified. so it's less "type whatever you want" and more "one text interface for every task" that's still the shift. every one of those tasks used to be its own model, its own training recipe, its own output format. now it's the same model reading an instruction and answering in whatever shape the task needs. the bigger idea underneath: vision stops being a specialist tool you bolt on and becomes something a foundation model does natively. decades of visual knowledge feeding how the model understands, its reasoning flowing back into what it sees. they benchmark against Vision Banana and the depth number is the one that stuck with me: 98.1 vs 94.8 on NYUv2. that's getting distance-per-pixel almost always right, which is the bar if anything downstream has to trust the output. 7B params. Apache 2.0. weights, code, the 50M training set, paper, and a live demo, all open. if you build anywhere near vision, go throw it a star: github.com/OpenSenseNova/… model → huggingface.co/sensenova/Sens… paper → arxiv.org/abs/2607.06560

@eyishazyer Really well explained.

The AI chip race isn't just about who has the best silicon anymore. It's about who can keep their people. technologyreview.com

@heysajib I've run into this so many times. Great breakdown.

Ask AI to review your work and it'll tell you it's good. Ask again and it finds something. Ask a third time and it contradicts itself. That's not a bug you can fix by adding "be brutally honest" to your prompt. Here's what actually causes it, and 5 fixes that work: 👇

@AndrewBolis GPT

21-year-olds are earning over $10,000 per month using ChatGPT. Like and comment "GPT" and I'll DM you my beginner to expert guide completely FREE. You must be following me to receive this proven guide in your DM. FREE for the next 48 hours only.

This is probably the first time.. I’ve seen a slide update focus on what happens after generation. You can come back to the same chat, keep refining the deck, match your own brand colours and edit the charts properly in PowerPoint. 👇

@socialwithaayan Absolutely.

@EyeingAI This looks awesome man

AI is in a weird place right now. The models are smart enough to write code, debug bugs and build entire apps. But switch to another agent & suddenly you're explaining your whole project like it's day one. One update this week made me think we're finally fixing the right problem👇