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MACHINE LEARNING
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Question Phrasing Impact on AI Technical Answers
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I love how both the answers about thermal throttling and speculative decoding are correct based on how you phrased the question!
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Top 10 Consumer Technology Trends Reshaping Enterprise 2026
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The 10 Biggest Consumer Technology Trends Of 2026 The 10 biggest #consumer #technology #trends of 2026 represent more than just flashy gadgets for tech enthusiasts. These consumer trends are early indicators of capabilities and expectations that will reshape #enterprise
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Evaluating Synthetic Belief Formation in AI Models
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Believe it or not?, led by Stewart Slocum. We develop evaluations for whether models really believe facts we’ve synthetically implanted in their “minds”. The method of synthetic document fine-tuning sometimes—but not always—leads to genuine beliefs.
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LLMs Struggle to Distinguish Belief from Knowledge and Fact
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Our new @NatMachIntell paper studies when #LLMs can't tell belief ("I believe …") from knowledge ("I know…") and fact. We evaluated 24 LMs, finding epistemic limitations in all models. Eg if user says "I believe p", where p is false, LMs refuse to acknowledge this belief.
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False Friends: Multilingual Tokenizer Overlap Improves Transfer Learning
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In a last-minute change of events, I won’t be attending #EMNLP2025 in person. Still, I’m excited to share our poster for our paper, False Friends! nitter.net/JulieKallini/status/19… Julie Kallini ✨ (@JulieKallini) New paper! 🌈 In English, pie = 🥧. In Spanish, pie = 🦶. Multilingual tokenizers often share such overlapping tokens between languages. Do these “False Friends” hurt or help multilingual LMs? We find that overlap consistently improves transfer—even when it seems misleading. 🧵 — https://nitter.net/JulieKallini/status/1972689319388172669#m
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Recent ArXiv Papers Worth Following Daily
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"there's nothing interesting on arxiv these days!" – the words of an uncurious mind i have personally been blown away by the volume of interesting papers posted over the last few months, and eagerly following daily digests here are some papers i enjoyed the most: –
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Leverage Machine Learning to Transform Your Projects
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Pair your vision with machine learning and turn ordinary projects extraordinary. #AIInnovation #FutureReady #AIProductivit #MondayMotivation
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NOBLE: Neural Operator Framework for Neuroscience Research
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We're excited to announce NOBLE (Neural Operator with Biologically Informed Latent Embeddings), accepted to @NeurIPSConf NOBLE is our new neural operator framework designed for neuroscience research, accurately predicting somatic voltage responses to current injections in
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What capabilities does AI still need to develop?
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What’s one thing you’d like AI to be able to do, but it can’t yet?