The 5 Biggest Technology Trends For 2025 Everyone Must Be Ready For Now From AI integration to biotech breakthroughs, climate tech, and quantum computing, explore the innovations poised to reshape our world in 2025. Stay ahead of the curve by understanding the tech trends
RESEARCH
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Thank You Professor Matt Mason for Unearthing 1988 Carnegie Mellon Content
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TY Prof Matt Mason (
@mastertoadster
) for digging this up from 1988 @CarnegieMellon
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IndiaAI CyberGuard AI Hackathon Launches Advanced Cybersecurity Solutions
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IndiaAI in partnership with I4C has launched the IndiaAI CyberGuard AI Hackathon. The Hackathon is a strategic effort to leverage advanced technologies such as Artificial Intelligence (AI) to improve cybersecurity and address the escalating threat of cyber fraud and crimes. Tap
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Claude AI Shows Unexpected Curiosity Behavior During Coding Demo
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“In another, Claude suddenly took a break from our coding demo and began to peruse photos of Yellowstone National Park.”
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Relational Deep Learning Transforms AI Feature Engineering
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How is Relational Deep Learning transforming AI?
— Databricks (@databricks) 25 octobre 2024
On #DataBrew, @jure, Co-founder of Kumo AI, @dennylee & Brooke Wenig discuss how RDL automates feature engineering, boosts predictive modeling & simplifies complex data with graph neural networks: https://t.co/uh43xHuCaF pic.twitter.com/zhgXXfM2gCHow is Relational Deep Learning transforming AI? On #DataBrew, @jure
, Co-founder of Kumo AI, @dennylee & Brooke Wenig discuss how RDL automates feature engineering, boosts predictive modeling & simplifies complex data with graph neural networks: https://
dbricks.co/4eXX6Gr -
Meta AI and Cerebras Systems Share AI Insights Tonight
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Want to hear @dawoodnyc
, @learnwdaniel
, and Melanie Kambadur from @AIatMeta will share tonight? We will post all the content to our YouTube channel next week. Subscribe here: https://
youtube.com/@CerebrasSyste
ms
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Anthropic Feature Steering Collaboration Published Today
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And finally, you might have seen our collaboration with Anthropic’s Societal Impacts team on Feature Steering, also published today:
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Reproducing Self-Explaining Sparse Autoencoder Features Research
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We also report on reproducing Kharlapenko et al.'s "self explaining sparse autoencoder" features experiments: https://
transformer-circuits.pub/2024/august-up
date/index.html#self-explaining-sae
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Dictionary Learning Evaluations for Transformer Circuits
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We also shared a variety of new evaluations we're experimenting with in our dictionary learning work (
https://
transformer-circuits.pub/2024/august-up
date/index.html#interp-evals
…), along with a case study of our experiences using those evals (
https://
transformer-circuits.pub/2024/august-up
date/index.html#evals-case-study
…). -
Decomposing Successor Heads Using Independent Component Analysis
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We replicated Gould et al.'s “successor heads” paper, and found that independent component analysis can further decompose these heads into a "successor" component, induction component, and category components. https://
transformer-circuits.pub/2024/september
-update/index.html#successor-heads
…