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The Transformer is a magnificient neural network architecture because it is a general-purpose differentiable computer. It is simultaneously: 1) expressive (in the forward pass) 2) optimizable (via backpropagation+gradient descent) 3) efficient (high parallelism compute graph)

Don't obsess over the object, obsess over the journey.

“Our greatest weakness lies in giving up. The most certain way to succeed is always to try just one more time.” Thomas Edison

For some reason, I needed xkcd formatting to convince my brain what Large means.

“AI is whatever hasn’t been done yet.” Larry Tesler

Just released! The #AIIndex2023 rounds up the latest trends in AI. This year’s report introduces more original data than any previous edition, a new chapter on AI public opinion, and more. Here are the top takeaways: ↘️ stanford.io/3m3gStO

It's my #Twitterversary! I have been on Twitter for 15 years, since 21 May 2008 (via Twi Age 🥳).

“We know more than we can tell” Michael Polanyi

If you cannot be corrected without being offended, then you’ll never truly grow in life.

We’ve lost a giant. An incredible scholar, builder, and just a brilliant, passionate human being, and an amazing friend and advisor. #Heartbroken #RIP

🪩The State of AI 2023 is now here. Our 6th installment is one of the most exciting years I can remember. The #stateofai report covers everything you *need* to know, covering research, industry, safety and politics. There’s lots in there, so here’s my director’s cut 🧵

Der Wind der Freiheit weht. Vielleicht auch wieder in der europäischen KI. Regulate the applications not the Research of AI.

youtube.com/watch?v=zjkBMF… Probably the best 1h introduction to LLMs that I've seen. And after 20mins its not an introduction, its getting into cutting edge research updates updated up to this month. I had not heard of the data exfiltration by prompt injection or the recent

Glad to see this work finally coming out: Together with some 100+ of the best scientists from national labs, universities and companies around the globe, we define a vision for quantum-centric supercomputing in Materials Science. arxiv.org/abs/2312.09733

We don’t fear that horses will outrun us; we use them to go farther. AI is a horse for the mind.

Enjoyed discussing #QuantumComputing in the automotive industry at the Bitkom #QuantumSummit24 exploring application areas from material science, simulations, quantum machine learning to optimization. Check out my talk: youtube.com/watch?v=2a-6y1… ##AIDAQ