Google opens $899 AI-native Googlebook laptop for preorder

🚀 RELEASES & LAUNCHES

• Google opens $899 AI-native Googlebook laptop for preorder
  Google opened preorders for its $899 Gemini-focused Googlebook laptop.

  • The Googlebook targets consumers and the K-12 market that currently relies on Chromebooks.
  • The Android-based laptop adds Gemini features including Magic Cursor, Rambler dictation, vibe-coded widgets, Gemini Spark, and Gemini Live.
  • It includes 12 months of Google AI Pro, 5TB of storage, and up to 10 years of updates.
  • Flagship models offer up to 2.8K OLED displays, dedicated NPUs, and 14 hours of battery life, with availability starting October 4 in the U.S.
  • Google is using Gemini-integrated hardware to extend its Chromebook ecosystem and bring more users to its AI services.
  Sources 📎 Coverage: techcrunch.com · 👁 via TechCrunch AI

• Tabby targets small-business bookkeeping with AI-powered real-time finances
  Tabby launched an AI bookkeeping platform for small businesses and accounting firms.

  • Tabby targets small businesses and accounting firms, with a focus on direct end users.
  • Its platform uses Plaid and AI to process paperwork and provide real-time profit-and-loss data.
  • Tabby has 5,500 businesses using the platform, about $100,000 in annual recurring revenue, and a seven-person team.
  • The company is preparing Tabby Talk, a natural-language interface, and raising $1 million in pre-seed funding.
  • Tabby aims to automate bookkeeping and replace much of the software layer used by small businesses.
  Sources 📎 Coverage: techcrunch.com · 👁 via TechCrunch AI

• Hugging Face releases Tokenizers v1 with major speed and scaling upgrades
  Hugging Face released Tokenizers v1, a faster Rust tokenizer library for large-scale ML workloads.

  • Built for developers training on massive datasets, serving concurrent requests, or processing long inputs.
  • Tokenizers v1 preserves v0.23 token IDs, API, vocabulary, and merge ranks while adding SIMD splitting, a word cache, an allocator-free merge loop, and native multithreading.
  • Benchmarks report speedups often reaching tens of times over v0.23, with reduced package size and improved scaling across threads.
  • The release helps prevent CPU tokenization from starving faster models and GPUs during high-throughput workflows.
  Sources 📄 Source: github.com · 📎 Coverage: huggingface.co · 👁 via r/LocalLLaMA

🔬 RESEARCH

• Microsoft Research open-sources RetroChimera for molecule synthesis planning
  Microsoft Research introduced RetroChimera, an open-source model for predicting small-molecule synthesis routes.

  • For researchers developing medicines, advanced materials, and agricultural chemicals.
  • RetroChimera combines Transformer-based R-SMILES2 and graph-neural-network NeuralLoc models with learned reranking.
  • Microsoft Research open-sourced the implementation and model weights.
  • Chemists preferred its individual reaction predictions in blind tests, and it completed routes for 9 of 10 challenging targets.
  Sources 📎 Coverage: microsoft.com · 👁 via Microsoft Research Blog

• Multiverse Computing uses Ising optimization to prune LLM blocks
  Multiverse Computing introduced an Ising-based method for pruning LLM transformer blocks.

  • The method targets LLM developers seeking smaller, faster inference models through depth pruning.
  • It maps selection of exactly M blocks for removal to constrained binary optimization using Hessian-derived pairwise couplings.
  • At 50% compression of Llama-3.3-70B-Instruct, it improved MMLU by almost 23 percentage points over the best competing block-removal method.
  • A single Hessian can score candidate configurations cheaply; an open-source tabu solver found lowest-energy states in seconds, while brute-forcing 29 billion configurations took about two days.
  Sources 📄 Source: github.com · 📎 Coverage: huggingface.co · 👁 via Hugging Face Blog