Remember when we were sharing those 2025 year-in-review posts of our Cursor usage and we thought 1-2B tokens used in 2025 was a lot? Have you checked your monthly usage lately? My Cursor usage: All of 2025 – 2.53B tokens Q1 2026 – 3.31B tokens And I use Claude Code heavily too. Tom Blomfield (@t_blom) By the end of 2026, I predict token spend will be greater than engineering salaries at early stage startups. — https://nitter.net/t_blom/status/2037591830150426704#m
We vibe coded a fully functional website in less than 10 minutes on @GoogleAIStudio. Watch us break down the process here, then start building your own apps, software, and tools⤵️🎬 [Translated from EN to English]
Liquid Computing synchronizes Atoms, Bits, and Neurons. Physical goods, digital data, and human intelligence flow together. When sensors detect pressure drift, operators get instant AR-guided SOPs on wearables. pic.twitter.com/y1SfUxEsAp
Liquid Computing synchronizes Atoms, Bits, and Neurons.
Physical goods, digital data, and human intelligence flow together. When sensors detect pressure drift, operators get instant AR-guided SOPs on wearables.
just learned about create-context-graph – one command and it sets up key entity relationships for 22 top industry domains. been looking for something like this to "layer on" a social graph to every single app I make!
One way to see the advancement of AI is to see how much further you can get with new models on the same hardware
Here is "an otter using a laptop on an airplane" generated on my home computer using the open weights Wan 2.1, first try. We have come pretty far in 18 months. https://t.co/loxNM2PRybpic.twitter.com/c4iz9UcmTB
One way to see the advancement of AI is to see how much further you can get with new models on the same hardware Here is "an otter using a laptop on an airplane" generated on my home computer using the open weights Wan 2.1, first try. We have come pretty far in 18 months.
Here's why I shill Droid 24/7 ———- Today Droid single-handedly: 1. Published a REAP of GLM-5 in FP8, there's a reason no one else has done it DSA is still very new: huggingface.co/0xSero/GLM-5-… 2. Found and Fixed an upstream issue with VLLM + DSA + Hopper where GLM-5's kv-cache would need to recompute and spend 20x the time needed, fixed. 3. Created multiple working quantisations on it's own, it tried exl3 and autoround but both failed so resorted to GGUF (autoround 3 bits doesn't work on ampere) huggingface.co/0xSero/GLM-5-… 4. Implemented github.com/0xSero/turboquant within 24 hours of the research paper coming out, tested it across 5090s, 3090s, H100s, and B200s 5. Has been distilling larger models into LoRA to help me test arxiv.org/abs/2505.21835 and it got an 80% prune to be semi-coherent again. 6. Helped my find research papers, clean up slop with the human-writing skill. 7. Got BYOK working with Anthropic, ZAI, Kimi, MiniMax, OpenAI working in Cursor github.com/0xSero/factory-cu… 8. Helped me Implement blog.comfy.org/p/dynamic-vra… 's dynamic loading, only works on a tiny model, but still. ——- I only have to check in on it every 30-45 minutes (I am talking all 8 of my sessions) the thing will run for 16 hours with like 0 prep All this while I am mostly focused on my actual job and tweeting 24/7 Keep in mind each one of these experiments is running on a different server, with different constraints, like I don't understand how I can get such good results here. ——— I love novelty. Which is why I jump around and talking about all these different tools. I have used all of these harnesses and messed around with every feature. I keep coming back to this, and I keep shilling it because I sincerely wish others get to experience this.
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What LTX seems to be doing is positioning itself less as a single model and more as a workspace for this kind of process. If you’re working on concepts, pitches, or early-stage visuals, it’s worth trying:
3/ That reliability is the key part. In most AI video tools, you spend a lot of time regenerating and fixing things that are "almost right." If that loop gets shorter, the tool becomes much more practical.
