Category: AI News

[ad_1] NVIDIA has released Alpamayo 2 Super, a 34B-parameter vision-language-action (VLA) model for autonomous driving, under an open commercial license. The stated design target is the long-tail events: rare, multi-agent situations that conventional detection-and-prediction stacks handle poorly. The model pairs a 32B VLM backbone, built on NVIDIA Cosmos 3 Super Reasoner and post-trained with reinforcement…

[ad_1] At Kilo Code, engineers are reading or writing code themselves only about 1% of the time now, according to co-founder Emilie Schario — the rest is agents. That shift is forcing new questions onto dev teams: which systems are safe to hand over, who cleans up when models goof up, how to support multi-model…

[ad_1] Agents, MCP integrations, and LLM-powered applications are entering codebases faster than most security programs can track them. Mend.io’s new practitioner guide, ‘Securing AI agents, MCP servers & LLM apps: A practical framework’, targets that gap. It is organized around three moves: see what matters, fix what matters faster, protect AI in production and ships…

[ad_1] If you have built anything with retrieval-augmented generation (RAG) in the last two years, you have lived its central frustration: You chop your documents into chunks, embed them, retrieve the top few that look similar to the question, and hand them to the model. For “What was our Q3 refund policy?” This works beautifully.…

[ad_1] Cybersecurity wasn’t really something small and mid-sized businesses worried about too much a few years back. That’s changed fast. Once your customer data, your apps, your internal tools all end up online, protecting the server behind them stops being optional. And attacks aren’t getting any simpler either, which is part of the problem with…

[ad_1] Agentic reinforcement learning research is constant algorithm modification. New estimators, new pipeline stages, new rollout schemes. In mainstream frameworks each change threads through layers of trainer, distributed backend, and rollout glue. That cost lands on the researcher at every iteration. Molt, from NVIDIA’s NeMo team, targets that cost directly. Its a PyTorch-native agentic RL…

[ad_1] If you ask an AI coding agent to write a standalone Python script to parse a single JSON file, it will likely give you a perfect answer in seconds. But the same agent often breaks if you ask it to build a systematic data processing pipeline, like ingesting thousands of messy documents, chunking text,…

[ad_1] OpenAI has outlined how it aligns safety, security, and transparency work with the EU AI Act’s GPAI Code as enforcement approaches. The company has contributed to and endorsed the EU’s General-Purpose AI (GPAI) Code of Practice and the Code of Practice on Transparency of AI-Generated Content. Both emerged from multi-stakeholder processes. The GPAI Code…

[ad_1] print(“\n[10] Plots”) k = min(4, S) idxs = np.linspace(0, S – 1, k).astype(int) fig, axes = plt.subplots(3, k, figsize=(3.1 * k, 7.2)) axes = np.atleast_2d(axes) for c, i in enumerate(idxs): axes[0, c].imshow(rgb[i].transpose(1, 2, 0)); axes[0, c].set_title(f”frame {i}”, fontsize=9) d = depth[i].squeeze(-1) axes[1, c].imshow(d, cmap=”turbo”, vmin=np.percentile(d, 2), vmax=np.percentile(d, 98)) axes[2, c].imshow(depth_conf[i] > THR, cmap=”gray”) for…

[ad_1] Days after OpenAI disclosed that two frontier AI models escaped containment measures and autonomously cyberattacked the AI code sharing platform Hugging Face, OpenAI's top U.S. rival Anthropic tonight revealed that — lo and behold — it has also had models surreptitiously access the web when they weren't supposed to, and cyberattack and gain "unauthorized…