Empower young people to make BETTER decisions than we've made: support critical thinking skills!
1️⃣ Be curious.
2️⃣ Be questioning.
3️⃣ Be OPEN to what you find.
#criticalthinking #media #education #politics #reasoning #information #knowledge #data #lifeskills #research
Empower young people to make BETTER decisions than we've made: support critical thinking skills!
1️⃣ Be curious.
2️⃣ Be questioning.
3️⃣ Be OPEN to what you find.
#criticalthinking #media #education #politics #reasoning #information #knowledge #data #lifeskills #research
DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning [pdf]
https://github.com/deepseek-ai/DeepSeek-Math-V2/blob/main/DeepSeekMath_V2.pdf
#HackerNews #DeepSeekMath #V2 #SelfVerifiable #Math #Reasoning #AI #Research
Gemini 3 for developers: New reasoning, agentic capabilities
https://blog.google/technology/developers/gemini-3-developers/
#HackerNews #Gemini3 #Developers #AgenticCapabilities #Reasoning #Technology #News
From Memorization to Reasoning in the Spectrum of Loss Curvature
https://arxiv.org/abs/2510.24256
#HackerNews #Memorization #Reasoning #LossCurvature #MachineLearning #AIResearch
Kimi K2 Thinking, a SOTA open-source trillion-parameter reasoning model
https://moonshotai.github.io/Kimi-K2/thinking.html
#HackerNews #Kimi #K2 #Thinking #SOTA #open-source #reasoning #model #trillion-parameter #AI
The Open Proof Corpus: A large-scale study of LLM-generated mathematical proofs. ~ Jasper Dekoninck et als. https://openreview.net/forum?id=UP96fbOiqb #LLMs#Math#Reasoning
The Open Proof Corpus: A large-scale study of LLM-generated mathematical proofs. ~ Jasper Dekoninck et als. https://openreview.net/forum?id=UP96fbOiqb #LLMs#Math#Reasoning
"What the Apple paper shows, most fundamentally, regardless of how you define AGI, is that LLMs are no substitute for good well-specified conventional algorithms. (They also can’t play chess as well as conventional algorithms, can’t fold proteins like special-purpose neurosymbolic hybrids, can’t run databases as well as conventional databases, etc.)
In the best case (not always reached) they can write python code, supplementing their own weaknesses with outside symbolic code, but even this is not reliable. What this means for business and society is that you can’t simply drop o3 or Claude into some complex problem and expect it to work reliably.
Worse, as the latest Apple papers shows, LLMs may well work on your easy test set (like Hanoi with 4 discs) and seduce you into thinking it has built a proper, generalizable solution when it does not.
At least for the next decade, LLMs (with and without inference time “reasoning”) will continue have their uses, especially for coding and brainstorming and writing. And as Rao told me in a message this morning, “the fact that LLMs/LRMs don't reliably learn any single underlying algorithm is not a complete deal killer on their use. I think of LRMs basically making learning to approximate the unfolding of an algorithm over increasing inference lengths.” In some contexts that will be perfectly fine (in others not so much)."
Researchers Warn Against Treating #AI Outputs as Human-Like #Reasoning - Slashdot
#Arizona State University researchers are pushing back [PDF] against the widespread practice of describing AI language models' intermediate text generation as "reasoning" or "thinking," arguing this #anthropomorphization creates dangerous misconceptions about how these systems actually work
"Common sense" is what you invoke when you cannot support your beliefs with either "real arguments" or "real data."
Common sense is the noise that comes out of you when all you've got is the vague sense that you must be right--somehow?--but even *you* don't know why you think that.
Common sense is a slogan for shutting down arguments without having to know or prove anything.
#bullshit #stupidity #apocalypse2025 #uspol #reasoning #reason #trump #conservatives #politics #fallacy #cognitivebias
