Introducing FlashCompact - the first specialized model for context... compaction 33k tokens/sec 200k → 50k in ~1.5s Fast, high quality compactionshow more

Introducing Seedream 3.0, available now in the Freepik AI... Suite Crazy prompt adherence, blends styles with precision, and gives fast, high-quality results Images made with this new model 🧵👇show more

Grok Code Fast 1 just shattered records on OpenRouter,... crossing 237B tokens in a single day. The first model ever to move past the 200B/day milestone.show more

introducing Seedance 2.0. the world's most powerful video model,... supporting text, image, video, and even audio as input, and capable of producing long multi-shot videos with high quality. now available for everyone.show more

First steps for a specialized DeepSeek v4 Flash inference... engine focused on inference quality / stability at different quantizations, with networked API that is batching capable. This is the 2 bit quants model running on my M3 Max 128GB.show more

GROK 4 FAST 2M CONTEXT – NOW IN YOUR... POCKET A reasoning model with a 2M context window — rewriting the cost curve of intelligence! Here’s the Hit List: •⁠ ⁠Free on iOS and Android •⁠ ⁠Multimodal brain built for more than text •⁠ ⁠2M context leaves competitors wheezing Source: xAIshow more

(Z.ai) is now a model provider inside TRAE. You... can BYOK and add GLM-4.6 and GLM-4.5 to TRAE IDE. GLM-4.5 supports up to 128K context and GLM-4.6 expands up to 200K context. Both deliver strong coding and reasoning performance on the benchmark and offers dual “thinking/fast” modes. Available now in the latest version.show more

💰Introducing the Initial Labor Offering (#ILO) for Autonomys |... AI3.0 🗓 Timeline: March 24th to April 24th, 2025 - 240 Social Miners and invited KOLs pledge work, submit deliverables, and receive rewards in $AI3 tokens based on quality, originality, and engagement. 🥇High-quality contributions and strong social media engagement will yield sizable $AI3 allocations 🎆Showcase your skills and let's create something extraordinary together!show more

Introducing your.MOV - The First AI Native Vibe Video... Editor 🔥 Edit Videos like A PRO using AI Prompts 👇 🧙‍♂️ Understands the footage context 🤖 Make edits using a chat-like interface ⚡ Add captions automatically 💖 Download high-quality output Try it now: #sponsored #ad Explore how to get started below 🧵👇show more

Introducing 📦𝗔𝗿𝘁𝗶𝗟𝗮𝘁𝗲𝗻𝘁🔧 (SIGGRAPH Asia 2025) — a high-quality 3D... diffusion model that explicitly models object articulation, paving the way for richer, more realistic assets in embodied AI and simulation: – Generates fully articulated 3D objects – Physically plausible joints & motion – High-fidelity 3D Gaussian appearance – Supports generation from a single real image arXiv: Project: Code (coming soon):show more

LTX-2 is THE open source video AI moment I've... been waiting for--the first to generates high quality video AND is FAST!! - 4090: Generate 20s at 720p in 2 minutes - A4500 (3070): Generate 10s at 480p in 3 minutes 1-click install on Pinokio, do it now!show more

Introducing stBTC: the Yield-Bearing Bitcoin Standard. For the first... time, you can put your Bitcoin to work and earn raw BTC yield: no tokens, no inflation, no lockups. Bitcoin In → More Bitcoin Out. Cold, Hard Bitcoin Yield. In T-24 hours.show more

🚨 Introducing, for the first time ever, TDM at... Twitch Rivals! 🚨 Watch the The Drop In, live now, as players compete for a $200k prize pool and you have a chance at scoring a delivery code! Type #Apex4nniversary + #RespawnGiveaway in chat to enter. 👉show more

Introducing The network for real estate intelligence & finance.... First, we built the world's most accurate property valuation model. Next, we open Real Estate lending to everyone. From login to liquid in minutes.show more

Wait for it. Fast growing fires in Colorado! 120,000... acres burning with 85% of the state in severe or worse #drought. The largest is the Aspen Acres fire which has ballooned to 50K acres and 0% containment. Smoke 💨 filled skies and poor air quality expected for days. #fire #smoke #colorado #aspen #burnshow more

GROK 4.1 FAST JUST DID THE IMPOSSIBLE AGAIN: 334... BILLION TOKENS IN A SINGLE DAY The OpenRouter leaderboard isn’t just broken. It’s been nuked from orbit. Yesterday: 253B tokens Today: 334B tokens That’s an 81B token jump in 24 hours. The closest competitor needs almost an entire week to hit what Grok 4.1 Fast does before lunch. This is the free model. The one anyone can use with zero paywall. People aren’t testing Grok anymore. They’ve moved in permanently. The throne isn’t up for grabs. It’s already been welded shut with Grok sitting on it. Bow down. The king just went super Saiyan. Source: X Freezeshow more

🚨 SplatTransform 2.0 is here!🚨 Open source CLI tool... and library for 3DGS processing NEW: Fully automated, lightning fast creation of high quality collision for your splats. Outputs: 🧊 Voxel format 🔼 Mesh format See both formats in action in the video. Links 👇show more

PAYING PER MODEL IS THE DUMBEST THING IN TECH... RIGHT NOW i was paying 3x what i needed to for AI inference the grid lets you buy a quality spec instead of a specific model.. it routes every request in real time to the cheapest option that qualifies swap one url and your code keeps working exactly the same openai-compatible, one line to switch, 200M free tokens to startshow more

Added context to my tiny diffusion model to enable... sequential generation of longer outputs! Currently the context is a quarter of the sequence length (seq_len=256, context_len=64). I have a theory that the less semantic-value-per-token, the worse the “curse of parallel decoding” is. With parallel decoding, we independently predict multiple tokens in one step. With the sentence “My poker hand was a ___ ___”, two valid predictions are “two pair” and “straight flush”. Because each token prediction is independent though, we can end up with a nonsensical output like “two flush”. This seems to be exacerbated with low semantic-value-per-token, as now you need more tokens to express the same concept. Instead of needing to independently predict two tokens, we might need to predict 10 instead (which is of course much harder). The model currently has noticeably worse output compared to nanogpt (similar size) and I believe this is a main reason. I’ll try adding confidence-aware parallel decoding (from NVIDIA’s Fast-dLLM paper) and other tricks and see how much they improve generation quality.show more

Introducing Jan v3, with updates to Jan Desktop v0.7.6... 💛 Jan v3 is our first v3 model, a 4B base built for fine-tuning and fast local use, with stronger math and coding. This release also includes a small Jan Desktop update, starting with a UI refresh as we move toward a more unified Jan experience. Try it: - Jan v3 is available in Jan Desktop and at - Get the latest desktop app at Model: - Jan-v3-4B: - Jan-v3-4B-GGUF: Thanks Qwen for the base model and Georgi Gerganov for llama.cpp 💛show more

Atomic Bot put Hermes and OpenClaw head-to-head on the... exact same task, running the same model (Qwen 3.6 35B) with the same goal: analyzing GitHub history, mapping growth spikes, and shipping a live dashboard in the browser. Key metrics to watch for 👀 > Time to complete the task > Tokens spent > Quality of the final result (dashboard in browser)show more