CLIP is a game-changer for medical AI, but it isn’t a "plug-and-play" solution. At the University of Arizona, I’ve been working on optimising the CLIP multi-modal model to align medical image-text pairs for classification and report generation. The challenge? Standard CLIP is
RESEARCH
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LLM Hallucination Rates vs Airline Safety: Comparing Incomparable Statistics
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Commercial airlines crash at a rate of 7 per 41 million flights. Current top LLMs hallucinate (by one estimate) 4.6% of the time, about once in 25 prompts. On a known benchmark (usually things are worse on new benchmarks). Comparing them, like the guy below does, is ludicrous. If commercial airlines crashed at the rate that LLMs hallucinated it would be 1.87 million crashes per 41 million flights. Around a quarter million times greater. Carlo (@bluberino123) “current models still hallucinate” is true in the same way “planes still crash” is true. broad enough to be technically correct, too broad to settle the actual argument. the real question is whether you’re following the frontier closely enough to say where the failure lives now. and honestly, that’s why aran’s criticism lands for me. i think you’re sincere in the belief, because i’ve read things from you outside x and i don’t think the concern is fake. but judged only from your x feed, you often come off bitter, like this has become personal. you keep citing papers using outdated models, posting gotcha screenshots, and using non-reasoning models as stand-ins for the frontier, and after a while it starts to look like you’re painting a lower-resolution picture of the field so your earlier predictions still look right. — https://nitter.net/bluberino123/status/2041307995116564935#m
→ View original post on X — @garymarcus, 2026-04-07 02:21 UTC
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LLM hallucination rates vastly exceed commercial aviation safety standards
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Another way to think about, with some basic math: Gary Marcus (@GaryMarcus) This is utterly false — by many order of magnitudes. Current top LLMs hallucinate (by one estimate) 4.6% of the time, about once in 25 prompts. On a known benchmark (usually things are worse on new benchmarks). Commercial airlines crash at a rate of 7 per 41 million flights. If commercial airlines crashed at the rate that LLMs hallucinated it would be 1.87 million crashes per 41 million flights. Around a quarter million times greater. The dude below does not know what he is talking about. — https://nitter.net/GaryMarcus/status/2041339541701939365#m
→ View original post on X — @garymarcus, 2026-04-07 02:19 UTC
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AlignedNews: Updated AI News Aggregator
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Updated: alignednews.com/ai All the AI news discussed here on X today. Papers. Models. Events. Announcements. And more. [Translated from EN to English]
→ View original post on X — @scobleizer, 2026-04-07 02:15 UTC
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AI Hallucinations Reliability: Comparing Frequency to Aviation Safety
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do planes crash 4.6% of the time? no, not even close. but that’s the # the guy gave me as an estimate. when hallucinations are as rare as plane crashes, the world will be very very different.
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Gary Marcus vindicated: LLM limitations predicted in 2022
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literally exactly what i said in March 2022. if only people had read the full article [nautil.us/deep-learning-is-h…] and not just the title, we wouldn’t be here now. Hillbilly Cosmologist (@RobinWeep) It took most of us several years but the magic has finally worn off. LLMs do not reason and are not intelligent. They're remarkable tools for accomplishing simple tasks, but they have real limits that are seemingly unsolvable without a paradigm shift. — https://nitter.net/RobinWeep/status/2041334881901322533#m
→ View original post on X — @garymarcus, 2026-04-07 02:10 UTC
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Defense of Gary Marcus’s Expertise in Artificial Intelligence
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Do you even know who @GaryMarcus is? He has been doing fundamental work on AI since before you were born. He is far more of an expert on AI than you, or 99.999% of self-proclaimed "experts". He has always thought about AI in the right ways. You are attacking his authority?? [Translated from EN to English]
→ View original post on X — @garymarcus, 2026-04-07 02:05 UTC
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AI Debt: The Hidden Cost of Unchecked AI Acceleration
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#AI Debt: The Hidden Cost Of Unchecked AI Acceleration by Amy Gu @Forbes Learn more: bit.ly/4sgieNH #MachineLearning #ArtificialIntelligence #ML #MI
→ View original post on X — @ronald_vanloon, 2026-04-07 01:58 UTC
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Building AI to Monitor AI Community News and Trends
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I'm enjoying building an AI that worries about what's coming next. It reads the entire AI community here and builds this site: https://
alignednews.com/ai all about the AI community here on X. And it's fun! -

10 Most Popular Machine Learning Models Overview
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10 Most Popular #MachineLearning Models by @goyalshaliniuk #ArtificialIntelligence #AI #ML #MI
→ View original post on X — @ronald_vanloon, 2026-04-07 01:37 UTC
