Grelsec Design Technologies @grelsec_design
A leader in secure and reliable chip design tools and methodology development. grelsec-design.github.io Santa Clara, California, USA Joined June 2011-
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Fun question to ask in an ml interview, “Why do embedding dimensions come in neat sizes like 768 or 1024, but never 739?” If they can't answer it, it's fine but if they do, you've stumbled upon a real gem.
Thank you Sec @howardlutnick for your support and guidance. Look forward to working together as we restore American leadership in semiconductor manufacturing!
Thank you Sec @howardlutnick for your support and guidance. Look forward to working together as we restore American leadership in semiconductor manufacturing!
Intel’s statement on meeting with President Trump: "Earlier today, Mr. Tan had the honor of meeting with President Trump for a candid and constructive discussion on Intel’s commitment to strengthening U.S. technology and manufacturing leadership. We appreciate the President’s…
🇨🇳 A Chinese University just dropped a landmark computer science achievement. Fastest shortest paths algorithm in 40 years, beating the famous Dijkstra plus Tarjan `n log n` limit by avoiding global sorting and working through a small set of pivot nodes. The paper shows a…
Huge computer science result: A Tsinghua professor JUST discovered the fastest shortest path algorithm for graphs in 40yrs. This improves on Turing award winner Tarjan’s O(m + nlogn) with Dijkstra’s, something every Computer Science student learns in college.
Lose Weight Without Meds. No BS.
🚨 SHOCKING: people are unknowingly making their ChatGPT interactions PUBLIC, and they are being indexed by Google (see my test below). My privacy recommendations: When people interact with ChatGPT and use the "Share" feature (for example, to send the conversation to family and…
New video: Intel Lunar Lake Close-Up youtu.be/pMhHBbKtWkE
Dissecting the NVIDIA Blackwell Architecture with Microbenchmarks arxiv.org/pdf/2507.10789
🚨This week's top AI/ML research papers: - Energy-Based Transformers are Scalable Learners and Thinkers - Dynamic Chunking for End-to-End Hierarchical Sequence Modeling - Pre-Trained Policy Discriminators are General Reward Models - First Return, Entropy-Eliciting Explore -…
RIP to a legend
RIP to a legend https://t.co/rtOcYqM1NC
Do you remember when you joined X? I do! #MyXAnniversary
Congrats to Simon Willison (@simonw) on 23 years (!!) of blogging. Really excellent LLM blog, I sub & read everything: simonwillison.net (e.g. I sub via RSS/Atom on NetNewsWire) +If you consistently enjoy the content like I do, sponsor on GitHub: github.com/sponsors/simonw
Diamond Rapids confirm launch in 2026 and then use intel 18A Node because 18A-P will HVM in Q4 2026 so looks like time too late it is very interesting Panther Cove -X more exceed than 2006 Core 2 , this is revolutionary Architecture will be a disruptive innovation in market
thank me later. r/singularity r/quant r/learnmachinelearning r/ArtificialIntelligence r/OSINT r/deeplearning r/MachineLearning r/ machinelearningnews r/MachineLearningJobs,

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