The tool is up on the claude website. One click switch from ChatGPT – Claude https://
claude.com/import-memory
TOOLS
-
Claude’s import tool allows one-click switch from ChatGPT
By
–
-
Access to All Midjourney Models Including Version 1 Available
By
–
you can still use all our old models on our website – everything back to midjourney v1 Marcin Ignac (@marcinignac) genAI was so much more fun when it could not do realistic things. Midjourney 2022-03 — https://nitter.net/marcinignac/status/2027738847056986163#m
→ View original post on X — @midjourney, 2026-03-01 02:40 UTC
-
Formal Verification for Neural Networks in Lean
By
–
Verification is a cornerstone for reasoning. Recent progress in mathematical reasoning and theorem proving has relied on LLMs + formal verification in Lean. But so far, Lean has focused on pure math, and lacks support for verification involving neural nets themselves. Applications include: 1. Certified robustness in neural networks, crucial in safety critical applications such as neural control. 2. Physics informed neural networks, which have been used to prove singularity problems related to the Millennium prize problem in fluid dynamics. 3. Theory related to neural networks such as approximation bounds, effect of quantization etc.
→ View original post on X — @animaanandkumar, 2026-03-01 01:04 UTC
-
TorchLean: First Fully Verified Neural Network Framework in Lean
By
–
We’re excited to release TorchLean which is the first fully verified neural network framework in Lean. The Lean community has largely focused on pure mathematics. TorchLean expands this frontier toward verified neural network software and scientific computing. With the recent release of CSlib, we see this as another step toward a fully verified ML stack. We support features: 1. Executable IEEE-754 floating-point semantics (and extensible alternative FP models) verified tensor abstractions with precise shape/indexing semantics 2. Formally verified autograd system for differentiation of NN programs Proof-checked certification / verification algorithms like CROWN (robustness, bounds, etc.) 3. PyTorch-inspired modeling API with eager-style development + export/lowering to a shared IR for execution and verification Project page: leandojo.org/torchlean.html Paper: [2602.22631] TorchLean: Formalizing Neural Networks in Lean Work done @Robertljg, Jennifer Cruden, Xiangru Zhong, @huan_zhang12 and @AnimaAnandkumar. #MachineLearning #ScientificComputing #Lean
→ View original post on X — @animaanandkumar, 2026-03-01 00:43 UTC
-
XGBoost: A Reliable Machine Learning Algorithm
By
–
Just remember: no matter how bad things get out there, you can always count on XGBoost. @trainxgb
-
Choosing the Right Tech Stack for Maximum Efficiency
By
–
Efficiency isn't about working harder—it’s about choosing the right stack. Want to dig deeper into these tools and see what else is trending? Check out the full list at: https://
buff.ly/UM9nSnR Follow us for the latest AI drops every week! -
KiloClaw Deploys Production-Ready AI Agents in 60 Seconds
By
–
KiloClaw
Deploying agents used to take hours of dev work. KiloClaw changes that—go from zero to production-ready OpenClaw agents in under 60 seconds. No servers, no Docker, just instant autonomous agents ready to work for you. -
Arzule Uses AI to Identify B2B Revenue Opportunities
By
–
Arzule
Partnerships are usually a guessing game. Arzule changes that by using AI to identify, prioritize, and track high-impact revenue opportunities in B2B. Move from manual spreadsheet tracking to a predictable, scalable revenue channel. -
RepoClip: AI-Powered Automatic Code Demo Video Generation
By
–
RepoClip
Got a GitHub repo that needs a demo? Stop hiring editors. RepoClip analyzes your code and automatically generates a professional, narrated video walkthrough. Perfect for shipping features and showing off your build in minutes, not days.
