#ai-limitations

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#generative-ai
fromFuturism
1 week ago
Healthcare

Doctors Horrified After Google's Healthcare AI Makes Up a Body Part That Does Not Exist in Humans

fromMedium
3 weeks ago
Artificial intelligence

Mitigating the risks of using GenAI in UX design and user research

fromFuturism
1 week ago
Healthcare

Doctors Horrified After Google's Healthcare AI Makes Up a Body Part That Does Not Exist in Humans

fromMedium
3 weeks ago
Artificial intelligence

Mitigating the risks of using GenAI in UX design and user research

Artificial intelligence
fromWIRED
1 day ago

Why You Can't Trust a Chatbot to Talk About Itself

Directly asking AI assistants about mistakes demonstrates a misunderstanding of how they operate as statistical text generators.
fromBusiness Insider
4 days ago

I used ChatGPT as my career coach for the week. It gave me some good advice, but couldn't handle my meltdown.

AI can assist with basic work-related tasks, but struggles with emotional support and personalized guidance.
Marketing
fromMarTech
1 week ago

Prompt engineering is dead. Long live context engineering! | MarTech

AI cannot deliver relevant strategies without proper context and understanding.
The limitations of prompt-based AI tools are becoming increasingly evident.
fromThe Verge
1 week ago

Google's healthcare AI made up a body part - what happens when doctors don't notice?

AI models can produce significant errors in healthcare, such as confusing terms in medical terminology.
#ai-trust
fromInfoWorld
1 week ago
Software development

Erasing the trust gap in AI-driven development

Trustworthy AI results depend on trustworthy people managing prompts and overseeing the AI process.
fromTheregister
1 month ago

Simular: AI agent startup founded by ex-Google DeepMinder

Machine learning struggles in production due to the dynamic nature of real-world data.
fromInsideHook
1 month ago

Thirty Mathematicians Took On AI In a Battle For the Ages

Human mathematicians and OpenAI's o4-mini model competed, revealing the model's strengths and weaknesses.
#artificial-intelligence
fromZDNET
1 month ago
Artificial intelligence

What happened when Anthropic's Claude AI ran a small shop for a month (spoiler: it got weird)

fromWIRED
3 months ago
Media industry

How To Use Gemini AI To Summarize YouTube Videos

AI can successfully summarize sports events and interviews but struggles with visual context.
Gemini depends on audio for understanding video content, missing visual details.
Inconsistent performance observed in different video types, revealing strengths and weaknesses.
fromArs Technica
3 months ago
Artificial intelligence

New study shows why simulated reasoning AI models don't yet live up to their billing

Current AI models perform well with basic math but struggle with complex proof reasoning needed for competitions like Math Olympiads.
fromZDNET
1 month ago
Artificial intelligence

What happened when Anthropic's Claude AI ran a small shop for a month (spoiler: it got weird)

Artificial intelligence
fromArs Technica
3 months ago

New study shows why simulated reasoning AI models don't yet live up to their billing

Current AI models perform well with basic math but struggle with complex proof reasoning needed for competitions like Math Olympiads.
fromTheregister
1 month ago

Call center staffers explain how AI assistants aren't great

Customer service reps at a Chinese utility struggle with AI assistance due to inaccuracies and inefficiencies during customer interactions.
fromPsychology Today
1 month ago

The Brain's Built-In GPS System

The hippocampus creates mental maps crucial for navigation, while the parahippocampal cortex distills visual scenes into actionable paths, integrating sensory input seamlessly.
Science
fromBusiness Insider
2 months ago

Don't delegate your thinking to AI, warns CEO of Humane Intelligence

AI should be a tool to augment human thinking, not replace it.
fromHackernoon
8 months ago

AI is Still a Long Way From Directly Replacing Programmers | HackerNoon

AI isn't ready to replace human coders for debugging, researchers say. Even when given access to tools, AI agents can't reliably debug software. AI models are a far cry from what an experienced human developer can do, producing code laden with bugs and security vulnerabilities, and unable to fix those problems. They serve best as assistants rather than replacements, saving substantial time for developers while still requiring human oversight.
Artificial intelligence
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