#speech-to-meaning
#speech-to-meaning
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#ai #anthropic #technology #artificial-intelligence #meta #cybersecurity #openai #communication #human-interaction
#language-models
Artificial intelligence
fromwww.theguardian.com
21 hours agoAI learns language from skewed sources. That could change how we humans speak and think | Bruce Schneier
Large language models limit human language representation, risking changes in communication and thought patterns due to increased AI-generated text exposure.
#artificial-intelligence
Artificial intelligence
fromTechCrunch
2 days agoFrom LLMs to hallucinations, here's a simple guide to common AI terms | TechCrunch
A glossary of key artificial intelligence terms is essential for understanding the complex language used in the industry.
#meta
Tech industry
fromFuturism
4 days agoFirst AI Model From Zuckerberg's Wildly Expensive Superintelligence Lab Flops Compared to Virtually All Rivals
Meta's Muse Spark faces challenges in competing with established AI models despite initial investor enthusiasm.
fromTechCrunch
2 weeks agoCohere launches an open-source voice model specifically for transcription | TechCrunch
Cohere's Transcribe model is designed for tasks like note-taking and speech analysis, supporting 14 languages and optimized for consumer-grade GPUs, making it accessible for self-hosting.
European startups
fromMedium
2 months agoBeyond chat: 8 core user intents driving AI interaction
The majority of AI products remain tethered to a single, monolithic UI pattern: the chat box. While conversational interfaces are effective for exploration and managing ambiguity, they frequently become suboptimal when applied to structured professional workflows. To move beyond "bolted-on" chat, product teams must shift from asking where AI can be added to identifying the specific user intent and the interface best suited to deliver it.
UX design
Artificial intelligence
fromFuturism
6 days agoAnalysis Finds That Google's AI Overviews Are Providing Misinformation at a Scale Possibly Unprecedented in the History of Human Civilization
Google's AI Overviews contribute to a misinformation crisis, providing tens of millions of wrong answers every hour despite a 91% accuracy rate.
fromFortune
1 month agoWe studied chatbots and language and saw a huge problem: They mean 80% when they say 'likely' but humans hear 65% | Fortune
By comparing how AI models and humans map these words to numerical percentages, we uncovered significant gaps between humans and large language models. While the models do tend to agree with humans on extremes like 'impossible,' they diverge sharply on hedge words like 'maybe.' For example, a model might use the word 'likely' to represent an 80% probability, while a human reader assumes it means closer to 65%.
Artificial intelligence
fromComputerworld
1 month agoAI doesn't think like a human. Stop talking to it as if it does
Autonomous agents take the first part of their names very seriously and don't necessarily do what their humans tell them to do - or not to do. But the situation is more complicated than that. Generative (genAI) and agentic systems operate quite differently than other systems - including older AI systems - and humans. That means that how tech users and decision-makers phrase instructions, and where those instructions are placed, can make a major difference in outcomes.
Artificial intelligence
fromwww.dw.com
2 months agoMoltbook explained: Where AI bots meet to 'discuss' humans
The new talk of the town is one where humans have no place a site called Moltbook that describes itself as a "social network for AI agents." The Reddit-styled site, launched in late January by US-based entrepreneur Matt Schlicht, is one where thousands of AI assistants talk to each other and discuss topics ranging from the technical to the philosophical.
Artificial intelligence
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