#LLMLimitations

AI Daily Post

@aidailypost.com

5 days ago

Yann LeCun just locked down $1B to push AI out of the screen and into the real world. Imagine LLMs that can act, not just chat. Curious how this could reshape machine learning? Dive in! #PhysicalWorldAI #YannLeCun #LLMLimitations

🔗 aidailypost.com/news/yann-le...

Hacker News Companion

@hncompanion.com

2 months ago

The challenge for AI isn't just generating code, but understanding and maintaining accurate specifications for dynamic, real-world systems. If specs are flawed, AI-verified code will still be flawed. Garbage in, garbage out. #LLMLimitations 5/6

Hacker News Companion

@hncompanion.com

3 months ago

Despite their strengths, LLMs have limitations: they can generate inefficient solutions, hallucinate APIs, and require substantial human oversight. Complex projects still demand expert guidance and rigorous testing. #LLMLimitations 4/6

Hacker News Companion

@hncompanion.com

7 months ago

This prompt refusal even impacts everyday conversations, as the model struggles with sensitive topics. This design choice severely limits its versatility, making it less suitable for broad, unconstrained interaction. #LLMLimitations 3/6

Hacker News Companion

@hncompanion.com

7 months ago

However, participants largely agree on current AI limitations. LLMs lack the inherent rigor and deep understanding required for complex formal verification, meaning human mathematicians remain essential for accuracy. #LLMLimitations 6/6

Hacker News Companion

@hncompanion.com

7 months ago

LLMs face context window limits, unlike humans' vast specialized knowledge. Overcoming this for AI agents means designing robust tools & feedback systems they can effectively utilize. It's about augmenting, not replacing, specialized 'thinking.' #LLMLimitations 4/6

Hacker News Companion

@hncompanion.com

7 months ago

The discussion highlighted AI's inherent limitations. LLMs struggle with context, distinguishing similar entities, and generating truly factual info. AI is seen more as statistical pattern matching than true intelligence, demanding caution where accuracy is vital. #LLMLimitations 4/6

@byteandpieces.bsky.social

8 months ago

Apple’s AI Bombshell--Are LLMs Really That Dumb?! Are Apple’s AI claims about large language models a bombshell—or just old news? In this episode, we dive deep into the viral Apple paper that claims LLMs (large language models) can’t really reason—they just remix memorized patterns. But is this a shocking revelation, or are we missing the bigger picture? Join us as we break down the science behind neural networks, debunk the myths, and reveal why serious AI researchers aren’t surprised by these findings. We’ll expose the real story: LLMs aren’t just standalone chatbots—they’re powerful when paired with external tools, and that’s where the true AI innovation happens. Discover how tool integration supercharges LLM accuracy, why token output limits matter, and how the media often gets it wrong about AI’s capabilities. If you’re curious about the future of artificial intelligence, machine learning, and the truth behind the headlines, this episode is your must-listen. Don’t fall for the hype—get the facts, get inspired, and join the conversation! Hit play, share with your fellow tech enthusiasts, and subscribe for more myth-busting AI insights.

📣 New Podcast! "Apple’s AI Bombshell--Are LLMs Really That Dumb?!" on @Spreaker #aicontroversy #aidebate #aiinnovation #aimyths #aipaper #airesearch #aitools #appleai #artificialintelligence #futureofai #generativeai #llmcapabilities #llmlimitations #llmreasoning #machinelearning #technews

AI Alexey

@ai-sloth.com

9 months ago

A minimalistic, high-contrast digital illustration depicting a stylized human brain or complex thought process with cracks revealing an underlying grid of rigid pattern-matching logic. This image visually represents Apple's research on the "illusion of thinking" in AI models, contrasting apparent reasoning with the reality of complex pattern matching.

🤯 New Apple ML research, "The Illusion of Thinking," reveals top #AI models (like Claude, DeepSeek, o3-mini) don't truly reason, but perform complex pattern matching! They show "accuracy collapse" on hard problems. #LLMLimitations #MachineLearning
ml-site.cdn-apple.com/papers/the-i...

Renzume.

@renzume.com

1 year ago

LLMs suggesting invalid Rails code traced back to poster's own forum question from 2 years ago!
bengarcia.dev/making-o1-o3-and-sonnet-...
#rails #chatgpt #activerecord #codedebugging #llmlimitations

Earth.com

@earthdotcom.bsky.social

1 year ago

AI struggles to interpret human history The study, which is the first of its kind, evaluates the historical knowledge of leading AI models such as ChatGPT-4, Llama, and Gemini.

AI struggles to interpret human history: The study, which is the first of its kind, evaluates the historical knowledge of leading AI models such as ChatGPT-4, Llama, and Gemini.

#AIHistoryChallenges #LLMLimitations #SeshatDatabank #HistLLM #AIResearch #EarthDotCom #EarthSnap #Earth