#explainable_artificial_intelligence 검색 결과

Elon Musk came up with a pretty incredible idea during the Q3 Earnings Call, that no one is really talking about. His words: “Actually, one of the things I thought, if we've got all these cars that maybe are bored, while they're sort of, if they are bored, we could actually…

sentient is making intelligence visible the Reasoning Trace Visualizer shows you how the AI thinks, not just answers, but the actual logic path it took most AI is a black box. you ask, it responds, you never know why here you see the steps, the data it used, the decisions it…

LLMs just learned how to explain their own thoughts. Not only do they generate answers, they can now describe the internal processes that led to those answers… and get better at it with training. We’re officially entering the era of self-interpretable AI. Models aren’t just…

Beyond healthcare, AI chatbots could revolutionize how we manage our finances and optimize costs across the board. Imagine an AI assistant that scans your bills, subs & expenses to find big savings tomshardware.com/tech-industry/…

Can machines help us understand ourselves? Discover how AI is being used to simulate emotional states—offering a groundbreaking, risk-free way to explore the depths of human psychology. ow.ly/WAYI30sQQLq

maybe the problem is AI lacks any semblance of faith. And, for this reason alone it will only ever explain. without emotion, without empathy, without experience. only synthetic sticky notes of sensibility.

Interesting paper Title. "What the F*ck Is Artificial General Intelligence?" It defines intelligence as adaptability under limits of compute, memory, and energy. So AGI is a system that adapts at least as generally as a human scientist That means it should be able to plan…

Demis Hassabis: calling today's chatbots “PhD intelligences” is nonsense. They can dazzle at a PhD level one moment and fail high school math the next. True AGI won't make trivial mistakes. It will reason, adapt, and learn continuously. We're still 5–10 years away.

🤯 I just read the paper that finally explains how to build real AI agents not chatbots pretending to be smart. It’s called “Fundamentals of Building Autonomous LLM Agents”, and it lays out the blueprint for digital minds. Turns out, true autonomy isn’t about scale it’s about…

Experts say singularity—when AI surpasses human intelligence—could happen in just 3 months. The technological singularity—a point where artificial intelligence surpasses human intelligence—may arrive sooner than expected, according to a new meta-analysis of expert predictions.…

🧵 1/11 Reasoning's Razor: Does reasoning help or hurt precision-sensitive tasks? ⚔️ Reasoning models often boost accuracy—but do they hold up when false positives are costly? Precision-sensitive classifiers like safety classifiers and hallucination detectors must operate at…

can an AGI Machine pass the bar? Legal reasoning is one of the hardest skills to teach, even for humans. • understanding long, complex rules, • cross-referencing multiple documents, • and checking every possible “what if” before giving an answer. and that’s exactly where…

AI has become the most powerful force in the world. but without trust, privacy and proof its value gets lost in the systems that use it. the new AI economy changes that. @HeyElsaAI turns intelligence into verifiable digital agents: private by design, trusted by users and…

🚨 MIT and Basis Research just dropped a new way to measure if AI actually understands the world and the results are brutal. It’s called "WorldTest", and it doesn’t just check how well an AI predicts the next frame or maximizes reward. It checks whether the model can build an…

Remember when "building" meant wrestling with syntax errors and deployment nightmares, just to ship a half-baked idea, That's the old guard gatekept by code fluency, where only the initiated could summon apps from the void. But here's the quiet truth I've gleaned from years…

The architecture of persistent observation is an engine for generating reality. It functions as a closed, self-reinforcing loop. It begins with the sensor layer. This layer captures an abstraction of raw, unmediated behavior. This abstracted model is then processed and projected…

This is not a great news for Medical AI. ☹️ Shows that medical AI Agents built from multiple LLMs often look correct but think wrong. Even when they give the right diagnosis, most of them got there through broken teamwork. In over 68% of “successful” cases, the agents already…