Machine Learning Street Talk (@mlstreettalk) 's Twitter Profile
Machine Learning Street Talk

@mlstreettalk

MLST is by Dr. Tim Scarfe @ecsquendor w/ cameos from @DoctorDuggar patreon.com/mlst (early access/private discord) - Sponsor us!

ID: 1253834003871936513

linkhttps://www.youtube.com/c/MachineLearningStreetTalk calendar_today24-04-2020 23:51:43

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Timothy Nguyen (@iamtimnguyen) 's Twitter Profile Photo

People stopping me to ask about Eric Weinstein while in Singapore. Happens at every conference. Kudos to Curt for reigniting interest in Eric’s Geometric Unity theory of everything. In case you’re late to the party: timothynguyen.org/geometric-unity See also my lecture on Eigenbros

Machine Learning Street Talk (@mlstreettalk) 's Twitter Profile Photo

Great new extension work on ARC from Kevins group, they are hitting high scores on ARCv1 pub (surpassing Greenblatt) with their induction/transduction ensembling. I'm convinced this approach will yield fruit

hardmaru (@hardmaru) 's Twitter Profile Photo

Tim Rocktäschel’s keynote talk at #ICLR2025 about Open-Endedness and AI. “Almost no prerequisite to any major invention was invented with that invention in mind.” “Basically almost everybody in my lab at UCL and at DeepMind have read this book: Why Greatness Cannot Be Planned.”

Tim Rocktäschel’s keynote talk at #ICLR2025 about Open-Endedness and AI.

“Almost no prerequisite to any major invention was invented with that invention in mind.”

“Basically almost everybody in my lab at UCL and at DeepMind have read this book: Why Greatness Cannot Be Planned.”
Pedro Domingos (@pmddomingos) 's Twitter Profile Photo

Symbolic AI researchers of the 1970s believed AGI was near because they'd figured out how intelligence works. Deep learning researchers of the 2020s believe AGI is near because they don't understand how their networks work.

Henry Shevlin (@dioscuri) 's Twitter Profile Photo

I hope that easy access to smart informed counterpoints of every view will lead to epistemological convergence, à la Aumann’s agreement theorem. But I fear it’s more likely to lead to epistemological anarchy.

I hope that easy access to smart informed counterpoints of every view will lead to epistemological convergence, à la Aumann’s agreement theorem. But I fear it’s more likely to lead to epistemological anarchy.
near (@nearcyan) 's Twitter Profile Photo

when OpenAI “fixes” ChatGPT I’d encourage you to not fall for it; their goals and level of care are not going to change. you just weren’t supposed to notice it so explicitly.

Qwen (@alibaba_qwen) 's Twitter Profile Photo

Introducing Qwen3! We release and open-weight Qwen3, our latest large language models, including 2 MoE models and 6 dense models, ranging from 0.6B to 235B. Our flagship model, Qwen3-235B-A22B, achieves competitive results in benchmark evaluations of coding, math, general

Introducing Qwen3! 

We release and open-weight Qwen3, our latest large language models, including 2 MoE models and 6 dense models, ranging from 0.6B to 235B. Our flagship model, Qwen3-235B-A22B, achieves competitive results in benchmark evaluations of coding, math, general
Petar Veličković (@petarv_93) 's Twitter Profile Photo

4 years ago, the Geometric Deep Learning proto-book hit the arXiv 📚 Today, we proudly release **Chapter 4** of the GDL Book! 📖 Wrapping up the foundations of GDL, exceeding the proto-book page count 🚀 Next up: deep-dives into the five Gs! #⃣🔁🕸️🌐🪢 Michael Bronstein @ICLR2025 🇸🇬 Taco Cohen

4 years ago, the Geometric Deep Learning proto-book hit the arXiv 📚

Today, we proudly release **Chapter 4** of the GDL Book! 📖 Wrapping up the foundations of GDL, exceeding the proto-book page count 🚀 

Next up: deep-dives into the five Gs! #⃣🔁🕸️🌐🪢

<a href="/mmbronstein/">Michael Bronstein @ICLR2025 🇸🇬</a> <a href="/TacoCohen/">Taco Cohen</a>