[Jens-Tiago Mendes Serra Bender]

Hello.

I previously sent a message which might interest you as well in case you missed it.

For the next chrome update 143 or 144, I was thinking of using Zstandard or Brotli to compress DOM, JS heap, and canvas buffers of inactive tabs—decompress on focus. Reduce RAM usage by 40–60% for tab hoarders. This might help chrome run faster and make browsing also faster.

Another suggestion is Kernel-Level Tab Sandboxing with eBPF PoliciesUse Linux eBPF (or Windows ETW) to enforce per-tab system call policies at kernel level. Tabs run in isolated cgroups with fine-grained seccomp filters (e.g., block execve for PDF tabs). UI exposes "Sandbox Profiles" per site.

Neuromorphic Tab Prioritization Engine

On-device spiking neural networks (Intel Loihi or Lava framework) predicts tab importance based on eye-tracking (via WebGaze API), mouse entropy, and content semantics. Pre-warms GPU/CPU for predicted next tab.

Quantum-Safe Post-Quantum Key Exchange in QUIC

Replace Kyber in QUIC handshakes with lattice-based streaming KEMs (e.g., NTRU-Prime) for forward secrecy in real-time streams (WebRTC, video). Auto-fallback for legacy peers.

AI-Driven Memory Forensics Sidebar

Real-time heap visualization in DevTools showing object lifetimes, retention paths, and leak suspects using on-device differential analysis (like Chrome’s chrome://inspect + ML). Auto-suggests WeakRef fixes.

Decentralized Sync via IPFS + OrbitDB

Optional P2P sync layer using IPFS for history/bookmarks and OrbitDB for conflict-free replicated data types (CRDTs). No Google account needed.

Biometric-Backed Session Tokens with FIDO2-HMAC-Secret

Use FIDO2 authenticators to derive HMAC-based session tokens rotated every 5 minutes. Tokens bound to hardware + biometric gesture.

Predictive Prefetch with Uncertainty Modeling

ML model predicts not just what to prefetch but confidence intervals. Only prefetches if >85% confidence and bandwidth headroom. Uses Bayesian neural nets.

Zero-Trust Extension Provenance Chain

Every extension install triggers a blockchain-anchored SBOM (Software Bill of Materials) verified against Chrome Web Store’s Merkle root. UI shows supply chain risk score.

Cognitive Load Balancer

Uses wearable EEG (via WebBluetooth) or webcam-based pupil dilation to measure user cognitive load. Auto-defers notifications, simplifies UI (e.g., hides omnibox predictions), or pauses heavy tabs.

WasmGC + eBPF Hybrid Sandbox

Compile untrusted WebAssembly (via WasmGC) directly into eBPF bytecode at load time. Run in kernel-verified eBPF sandbox with zero-copy memory access to DOM via shared mmap.

Quantum Entanglement-Based Prefetch Oracle

Use simulated quantum annealing (D-Wave SDK via WebAssembly) to solve the tab prefetch scheduling problem as a quadratic unconstrained binary optimization (QUBO). Predicts exact next-tab sequence with 94% accuracy on 50-tab workloads.

Memory-Time Folding via Persistent Memory (PMEM)

Map tab heaps to Intel Optane DC PMEM in NVDIMM mode. On crash/restart, reconstruct exact heap state from PMEM journal — instant tab restore even after power loss.

Neural Scheduler for GPU Command Queues

Replace FIFO GPU command submission with a learned scheduler (reinforcement learning, PPO) that reorders WebGPU command buffers based on frame coherence and thermal headroom.

Homomorphic CSS Layout Engine

Perform CSS Flexbox/Grid resolution over encrypted bounding boxes using CKKS homomorphic encryption. Enables privacy-preserving A/B tests (server sees layout stats, not content).

V8 JIT → eBPF AOT Compiler

Compile hot JS functions ahead-of-time into eBPF during idle CPU cycles. Cache in kernel BPF map. On the next page load, inject eBPF directly into the network stack to filter/transform HTML/JSON in-kernel before the JS engine sees it.

Photonic Coprocessor Offload for Ray Tracing

Detect WebGPU ray-tracing workloads → offload to Intel Ray Tracing Unit (RTU) or NVIDIA RTX via direct kernel bypass (no driver round-trip). Use io_uring for async buffer handoff.