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Amazing show last night!
Connoisseur’s choice set list.
No notes.
70’s may be the new 40’s.
Two big thumbs up to @AnikaNilles.
@rushtheband
@RushCon
Jim Banting retweeted
Congratulations to @UofT, ranked 4th in the world for international research influence. World-class research is the foundation of innovation and commercialization, helping transform breakthrough ideas into new technologies, start-ups, jobs, and economic growth for Ontario and Canada. @nolanmquinn @univcan @U15ca @OntUniv @MitacsCanada @NSERC_CRSNG @CIHR_IRSC @InnovationCA #Research #Innovation #HigherEd
Jim Banting retweeted
#UofT transforms PhD education with launch of Presidents’ Impact Scholarship Program ➡️ uoft.me/cJ9
Jim Banting retweeted
Prime Minister Carney launches new National Council on Artificial Intelligence: pm.gc.ca/en/news/news-releas…
Jim Banting retweeted
Muse vs Dots vs Grokbot
Zuck vs Altman vs Musk.
The battle of personal agents for the masses.
Who do you think wins?
Jim Banting retweeted
omg. just came back from a tour of @OTILumionics … Canada has no idea how big this company is gonna be. just wow.
build foundational deep tech takes decades and huge capital. step it up Canada.
Jim Banting retweeted
Super excited that #VirtualBiotech is published in @ScienceMagazine today!
Tens of thousands of AI scientist agents work together across drug discovery + development, from target discovery to clinical trial design. Our blueprint for agentic R&D đź§µ
This is super cool result for AI & protein design!
Claude wrote CUDA kernels that beat NVIDIA's own cuEquivariance on triangle attention by 2.7–2.9x, and triangle multiplication by 1.7–3.2x.
Two engineers supervised it. Neither had prior kernel engineering experience. 30+ models such as AlphaFold3, Boltz-2, OpenFold3, protein LMs, genomics, done in 4 weeks.
Triangle ops are the cubic bottleneck in Pairformer-based structure prediction. Fix them and the whole stack gets cheaper: 4x average speedup, 100x fewer GPU hours for comparable protein design results.
FlashPairformer is now open-sourced:
anthropic.com/research/claud…
Biologists use specialized open-source models for tasks like modeling the structure of molecular systems, designing drug-like molecules, and predicting the effects of genetic mutations. But these models are often expensive to run, potentially limiting their impact.
In our latest Science Blog, we share how Claude was able to optimize inference for more than 30 open-source models, making them 4x faster on average, partly by writing custom software for GPUs. We’re open sourcing all of the optimization code.
Read more: anthropic.com/research/claud…
Jim Banting retweeted
How to Watch The Tragically Hip Farewell Show 10th Anniversary Special Online rollingstone.com/product-rec…
University of Toronto crowned among world's top 5 schools in new global ranking
blogto.com/city/2026/08/univ…
Congratulations! Stellar roster of projects! Thank you Dr. Rossi.
Seven #UofT faculty members recognized with 2026 Derrick Rossi Innovation Awards 🏆 uoft.me/cA-
Recommended read!
🇨🇦
"Canada has a rare chance to lead in quantum. But we can only capitalize on our headstart if we learn from how we lost our initial edge in AI."
In his latest piece for Maclean (@macleans), Christian Weedbrook (@_cweedbrook), Founder and CEO of Xanadu reflects on his journey, the breakthrough of our modular Aurora system, and what it will take to build the world’s first quantum data centre in Toronto.
Read the full essay: macleans.ca/society/technolo…
Toronto ranks third in tech industry talent across North America
cp24.com/local/toronto/2026/…
Jim Banting retweeted
The moon photographed over 28 days at the same place and at the same time.......



























