LLMs & Generative AI - Page 31 of 73
Latest breakthroughs in large language models and generative AI shaping the future of artificial intelligence and machine learning.
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Proxy-Pointer RAG Bakes Emerson Deltas into Index for AT&T system
The iterative refinement of a knowledge graph index is not a linear march, it’s a feedback loop that sharpens with every pass. First, the uncovered deltas from Emerson are baked back into the index.
Study finds base AI models predict human behavior better than fine‑tuned chatbots
We train AI to be helpful. To follow instructions, to reason, to see. And in doing so, we seem to break its ability to think like a person.
Chronos-2 uses known covariates such as weather for building demand forecasts
Good forecasts don’t just look backward, they lean into what’s already certain. For building energy demand, that certainty comes from tomorrow’s weather forecast, next week’s occupancy schedule, or the solar irradiance expected at noon.
OpenAI upgrades GPT-5.5 readability, removes Canvas from Instant and Thinking
OpenAI just tweaked its flagship machine to make it sound more human. The goal for GPT-5.5 Instant is simple: kill the robotic tone. Output gets cleaner, less verbose. It’s a small edit, but for anyone who reads this stuff daily, it matters.
Deep learning models auto‑detect data features, reducing need for engineer input
Every major tech firm champions deep learning now, but the reality is a stark divide: few can actually afford it.
Google's Gemini Spark sees my whole life, then friend‑zones my boyfriend
Google launched Gemini Spark this week. It’s a $100-a-month beta that promised to build an AI agent that truly knows you. So I gave it everything: my inbox, my calendar, my search history, my location. I handed over the skeleton of my days.
Researchers Find Failure Signatures in LLM Trading Agents' Planning Embeddings
LLM trading agents fail in predictable ways, if you know where to look. Their planning embeddings drift from normal-state centroids before a drawdown, fused plan-risk representations separate stable states from impending collapse, and manifold...
SSD removes sync bottleneck in speculative decoding on MI300X
Speculative decoding could speed up large language models, but a synchronization bottleneck limited its gains.
Claude Opus 4.8 Trained for Honesty, Flags Uncertainty, Reduces Frustrations
Shipping code on a Friday is a classic rookie mistake. It's the kind of error that costs real money. So for Claude Opus 4.8, Anthropic's latest flagship, the engineers had a brutally practical North Star: teach it to say "I don't know."
Transformer Architecture Reduces Perplexity by 2.92 vs Fine‑Tuning
Architecture isn't just scaffolding. Sometimes, it's the entire argument. A fresh paper proves it with hard numbers. By reshaping a transformer's internal geometry, researchers sliced language model perplexity by 2.92 points—a 12% relative gain.
Step 3.7 Flash runs on NVIDIA GPUs via SGLang, TensorRT-LLM, vLLM
Speed. Precision. Scale. Step 3.7 Flash is no longer just a promising model , it’s a GPU-native powerhouse. Thanks to SGLang, TensorRT-LLM, and vLLM, developers can now tap into kernels meticulously optimized for NVIDIA hardware.
LLMs Struggle with Causal Discovery While Interventional Agents Succeed
Benchmarks are in, and the result is unambiguous. Large language models hit a hard wall on even simple causal graphs. The core issue isn't a shortage of data or scale; it's a fundamental, baked-in blindness.
DynaSchedBench Introduces SESC and SSI to Rank LLM Scheduling Tasks
Most AI scheduling benchmarks are bullshit. They let companies claim progress where none exists. A new one called DynaSchedBench tries to cut through the noise with a pair of technical tools designed to reveal what these models can actually do.
LLM-based Architecture Targets Explicit and Implicit Human Values in Text
Algorithms parse our words daily. They spot slurs and track sentiment. Yet a persistent blind spot remains, as outlined in a new arXiv paper: these systems consistently miss the deeper currents—the human values embedded within our arguments, whether...
Google AI launches Daily Brief in Gemini app for U.S. users 18+
Google's subscription AI service is graduating from a chatbot to a permanent housemate. Today it starts delivering a Daily Brief for paying users in the U.S.
Google Cloud unveils AI platform with Gemini, Wiz, Codemender to patch gaps fast
The gap between discovering a critical software vulnerability and actually fixing it can stretch for dangerous days. Google Cloud’s new platform aims to compress that timeline to minutes.
Anthropic says new Claude model aims for honesty, avoids unsupported claims
You’ve seen it before: an AI that sounds certain, assertive, even brilliant, while quietly fabricating its reasoning. The hallucination problem is so pervasive it’s almost a punchline.
Soro chatbot built on Gemma 3, trained on 1.9 B Tajik tokens from web and PDFs
A language used by over ten million people, yet almost invisible in the world of large language models.
How Ollama’s Context Length Setting Impacts Local Model Memory
Picture this: You load an entire codebase into a local model, expecting an insightful analysis. Instead, you get nonsense, critical lines vanish, references blur. The culprit? Not your model's intelligence, but its memory window.
NVIDIA releases NvRTX 5.7.4 with DLSS 4.5 support for UE5.7.4
Nvidia's latest update is a patch note pretending to be a physics paper. The NvRTX 5.7.4 release adds DLSS 4.5 support for Unreal Engine 5.7.4.
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