As your AI gets smarter, so must your API
stackoverflow.blog·13h
🔌Interface Evolution
Hiding room metadata from servers
element.io·6h·
Discuss: Lobsters
🔐Homomorphic Encryption
Composite gets backing from NFDG for its cross-browser agent tool
techcrunch.com·7h
🚀Indie Hacking
Zero ASIC releases Wildebeest, the highest performance FPGA synthesis tool
zeroasic.com·1d·
Discuss: Hacker News
🔧FPGA Preservation
0x5f3759df
h14s.p5r.org·22h·
Discuss: Hacker News
📐Interval Arithmetic
We built our coding agent for Slack instead of the terminal
mintlify.com·1d·
Discuss: Lobsters, Hacker News
⚙️Proof Engineering
Building Fact-Checking Systems: Catching Repeating False Claims Before They Spread
towardsdatascience.com·4d
🔍BitFunnel
VAGUEGAN: Stealthy Poisoning and Backdoor Attacks on Image Generative Pipelines
arxiv.org·17h
🕵️Vector Smuggling
FS-KAN: Permutation Equivariant Kolmogorov-Arnold Networks via Function Sharing
arxiv.org·17h
🧬Functional Programming
Successful Misunderstandings: Learning to Coordinate Without Being Understood
arxiv.org·17h
🔲Cellular Automata
I Turned Any REST API into an AI-Powered Chatbot (Without Writing a Backend Twice)
dev.to·2d·
Discuss: DEV
⚡gRPC
Bayesian Surrogates for Risk-Aware Pre-Assessment of Aging Bridge Portfolios
arxiv.org·17h
🧠Machine Learning
Synthetic data can be a double-edged sword: while it offers
dev.to·1d·
Discuss: DEV
🔍Vector Forensics
Enhancing DPP Data Integrity via Federated Learning & Blockchain-Anchored Provenance
dev.to·13h·
Discuss: DEV
🔗Data Provenance
Don’t Let Cyber Risk Kill Your GenAI Vibe: A Developer’s Guide
dev.to·9h·
Discuss: DEV
🔓Hacking
Using AI for Secure Coding: Avoiding Common Vulnerabilities
dev.to·1d·
Discuss: DEV
🧪Protocol Fuzzing
Towards Minimal Causal Representations for Human Multimodal Language Understanding
arxiv.org·1d
🧠Machine Learning
Adaptive Camouflage: How Adversarial AI is Redefining Data Security by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
🔍Vector Forensics
Can Large Language Models Express Uncertainty Like Human?
arxiv.org·17h
🧠Intelligence Compression
MDD-Thinker: Towards Large Reasoning Models for Major Depressive Disorder Diagnosis
arxiv.org·17h
📊HyperLogLog