The Archive

ABot-World-0: action-conditioned video world model enabling long-horizon closed-loop interaction on single GPU, trained on games/simulation/web video.

Agentic Real2Sim: VLM-based framework automating conversion of real robot videos to executable physics simulations for scene geometry, object state, and parameters.

Google DeepMind releases Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber models for inference efficiency and security tasks.

Comparison of reasoning-capable LLMs, SFT, and RL for legal machine translation, showing structured reasoning improves precision on domain-specific terminology.

Automated extraction of 3.2M data points from 76K energy studies using NLP/ML to improve meta-analysis transparency.

Neural Kolmogorov Equations reformulate neural SDEs for parallelizable stochastic dynamics learning under general noise.

Physics-informed neural networks with boundary enforcement for elliptic PDEs and mean escape time computation.

Agentic AI shifts more of the critical execution path onto the CPU. Agents operate in sandboxes to execute code, invoke tools, retrieve context, interact with... Agentic AI shifts more of the critical execution path onto the CPU. Agents operate in sandboxes to execute code, invoke tools, retrieve context, interact with databases, and analyze results before returning information to the model. As these loops run concurrently across an AI factory, CPU performance increasingly shapes both per-agent responsiveness and overall factory throughput. Source

Google is launching Gemini 3.6 Flash alongside a new security model dedicated to quickly finding and patching security vulnerabilities. In a blog post on Tuesday, Google describes Gemini 3.5 Flash Cyber as a "cost-efficient and highly capable alternative" to larger, more expensive AI systems, such as the one offered by Anthropic's Mythos. The cybersecurity model is built upon Gemini 3.5 Flash and will be available first to governments and trusted partners via CodeMender, Google's security-focused coding agent. As noted by Google, CodeMender can call upon 3.5 Flash Cyber "multiple times at hig...

What began as discrete AI model training and human-facing chat interfaces has evolved into always-on AI factories dedicated to producing intelligence at scale.... What began as discrete AI model training and human-facing chat interfaces has evolved into always-on AI factories dedicated to producing intelligence at scale. These factories are now tasked with powering agentic workflows that reason, plan, use tools, verify intermediate results, and execute complex multistep tasks across vast contexts. Agentic workloads are not defined by a single prompt… Source

Frontier model pre-training has converged on mixture of experts (MoE), which is fundamentally changing what limits large-scale AI training. As compute per token... Frontier model pre-training has converged on mixture of experts (MoE), which is fundamentally changing what limits large-scale AI training. As compute per token falls, communication increasingly determines how efficiently models scale across thousands of GPUs. NVIDIA GB300 NVL72 set a world record for pre-training DeepSeek-V3 671B at 1,648 TFLOPs per GPU, showing how advances across the entire AI… Source

Multi-generator adversarial learning addresses class imbalance and non-homogeneous failure modes in predictive maintenance.

Generative state-space model learns ocean dynamics from sparse, noisy observations without complete reanalysis data.

MIRAGE residual U-Net infers breast MRI contrast enhancement with lesion-aware supervision combining reconstruction and perceptual losses.

Nativ wraps MLX in a macOS app for local inference, offering chat UI and localhost API similar to LM Studio.

Vision-language models as unified backbone for attributed graphs with heterogeneous modalities (text, visual, mixed).

Parallel Noising algorithm strengthens Neural Markov Logic Networks for generative modeling on larger relational structures.

Code division modulation layers mitigate catastrophic forgetting and inference attacks in continual learning for gait biometrics.

Comparative study of multi-agent actor-critic extensions (MAGAC, MASAC, MATQC) for parameterized action reinforcement learning.

Deezer said more than 90,000 AI-generated tracks were uploaded daily on the platform in June

I was not a fan of the original Halliday glasses. The Gen 2 are better. | Image: Halliday I first slipped on Halliday's original smart glasses at CES 2025. I was not a fan. The glasses had a tiny, movable display window embedded into the frame that was incredibly finicky to see, and my 30-minute demo left me with achy eyeballs. It was an interesting concept with terrible execution, especially compared to the several other smart glasses on the show floor. So I was skeptical when a few weeks ago, Halliday reached out to say its second attempt at smart glasses was much better. Well, having tried...

Anthropic engineers discuss Claude Code, Claude Tag Slack integration, coding agent security, and internal tool usage in fireside chat.

SHANGHAI, CHINA - JULY 20 2026: People visit the booth of Kimi, an LLM developed by the Chinese startup Moonshot, during the World AI Conference in Shanghai, China, Monday, July 20, 2026. | Image: LONG WEI/ Feature China/Future Publishing via Getty Images Last week, two Chinese AI companies unveiled models they say can credibly compete with the best systems from OpenAI and Anthropic. The response was swift and predictable. Markets wobbled, commentators declared Silicon Valley shooketh, and policymakers reached for the familiar language of arms races and wake-up calls. In one headline, The Ass...

The conversation about AI often centers on algorithms, computing power, or huge investments in new semiconductor fabrication plants and hyperscale data centers. But beneath each of these advances is another layer of innovation that makes them possible: advanced materials. Every new generation of AI technology demands more processing power, more memory, greater energy efficiency, and…

Stratechery commentary on Netflix earnings, assessing the company as mature with limited growth prospects.

Gritt is coming out of stealth with $34 million and plan to automate the hardest tasks on construction sites.

OpenAI and Hugging Face disclose security incident during model evaluation, sharing findings on advanced cyber capabilities and defense lessons.

No significant AI developments reported.

The final approval settles one case, but it doesn't resolve the broader issue of using copyrighted works to train AI models.