AI

Anthropic recently released Claude Opus 4.8. Also, there are two Claude Code updates posted. A dynamic workflow uses multiple subagents in parallel. Quick mode now supports Opus 4.8 at a lower price. Both are preliminary research studies. What Dynamic Workflow Really Is A dynamic workflow is a JavaScript script that schedules subagents at scale. Claude … Read more

In this lesson, we create a complete pgvector playground inside Google Colab and explore how PostgreSQL can serve as a powerful vector database for modern AI applications. We start by installing PostgreSQL, compiling the pgvector extension, linking with Psycopg, and registering vector types for smooth Python compilation. Then, we create embeddings with SentenceTransformers, store them … Read more

Predictive coding is a way to speed up language model prediction. A small, fast draft model raises several tokens. A large target model verifies them in parallel. If accepted, the prediction is fast. If it is rejected, the system goes back to normal. The EAGLE Team, the vLLM Team, and the TorchSpec Team introduced the … Read more

AI-automated content sounds useful, but it leaves you with one big question: where to start? Instead of just talking about automation, maybe you want to create real-world automated workflows with minimal code. This is where the power of low-code platforms like n8n come into play. Here we are 10 everyday tasks you can automate with … Read more

OmniVoice Studio – How to Use it 01 / 08 What is OmniVoice Studio? OmniVoice Studio is an app an open source desktop application voice cloning, video copying, real-time calling, and speaker dyeing. Everything works locally on your device. No API keys, no cloud account, no registration required. 646 languages TTS is supported by the … Read more

CLIENT_SCRIPT += r”’ def main(): p = argparse.ArgumentParser() p.add_argument(“–num_sites”, type=int, default=3) p.add_argument(“–alpha”, type=float, default=0.3) p.add_argument(“–local_epochs”, type=int, default=1) p.add_argument(“–mu”, type=float, default=0.0) p.add_argument(“–max_samples”, type=int, default=4000) p.add_argument(“–batch_size”, type=int, default=64) p.add_argument(“–lr”, type=float, default=0.01) p.add_argument(“–data_root”, type=str, default=”/tmp/nvflare/data”) p.add_argument(“–results_dir”, type=str, default=”/tmp/nvflare/results”) p.add_argument(“–tag”, type=str, default=”fedavg”) args = p.parse_args() device = “cuda” if torch.cuda.is_available() else “cpu” tf = T.Compose([T.ToTensor(), T.Normalize((0.5, 0.5, 0.5), (0.5, … Read more

Many yearsAuthenticating on the web follows a single design assumption: one sits behind the browser. Click the button. Fill out the form. Confirm the email. Copy the API key and paste it elsewhere. That model doesn’t work when the user sends a job to the agent. Agents are already coding, opening pull requests, purchasing tickets, … Read more

StepFun, an AI lab based in Shanghai, has released StepAudio 2.5 Realtime. It is a real-time speech modeling language with fully customizable capabilities. StepAudio 2.5 Realtime is a voice model that works in real time. Unlike pipeline-based systems that separate speech recognition, reasoning, and synthesis into sequential steps, this is an end-to-end model. Sound in … Read more

Most web agents today call the browser one action at a time. The model detects the state of the current page – such as a screenshot or DOM text – and predicts the next click, key press, or scroll. This action-at-a-time design makes sense when language models have limited reasoning ability. As models become more … Read more

Linear attention replaces the infinite KV cache of softmax attention with an iterative form of fixed size. This reduces sequence mixing to linear time and recording in non-volatile memory. The hard part is not to forget. It is a way of organizing repressed memory without criticizing existing associations. NVIDIA has been released Gated DeltaNet-2a specific … Read more