Google Research's new TurboQuant algorithm is revolutionizing AI efficiency, slashing large language model memory usage by 6x and boosting performance 8x without compromising output quality, using a two-step compression process that works on existing models with no additional training required.
Quantization can slash AI model sizes by 75% with minimal quality loss at 8-bit and 4-bit precision, but pushing compression to 2-bit causes near-total collapse, with 97% of benchmark questions going unanswered and responses devolving into incoherent loops, according to new testing on Qwen3.5 9B.
Granola raises $125M at a $1.5B valuation — six times its previous worth — as the AI meeting notetaker launches enterprise collaboration features and new APIs to outpace rivals like Read AI and Fireflies in the rapidly commoditizing AI note-taking market.
Legal AI startup Harvey secures $200 million in new funding, skyrocketing its valuation to $11 billion as its platform now serves over 100,000 lawyers across 1,300 organizations with $190 million in annual recurring revenue.
Mistral launches Voxtral TTS, a groundbreaking 3-billion parameter open-weight text-to-speech model that outperforms ElevenLabs, adapts to any voice in five seconds, and runs directly on smartwatches.
Salesforce integrates Agentforce AI agents directly into Slack, letting teams interact with AI via DMs or @mentions, deploy ready-made HR, sales, and marketing templates, or build custom agents — all without ever leaving the app.
Google's new TurboQuant AI compression algorithm, which slashes memory requirements by up to 6x, is sending memory stocks tumbling, with SanDisk plunging 5.7%, Western Digital down 4.7%, Seagate sliding 4%, and Micron dropping 3%, as investors fear reduced long-term demand for DRAM and flash memory.
AI is decimating entry-level coding jobs, with U.S. postings dropping 35% since 2023, as Block slashes nearly half its 8,000-person workforce and experts warn a sweeping wave of white-collar tech layoffs is just beginning.
Google's TurboQuant is revolutionizing AI efficiency, slashing large language model memory usage by over 5x and boosting speed up to 8x with zero accuracy loss, using a data-oblivious quantization algorithm requiring no dataset-specific tuning — maintaining perfect retrieval accuracy across 104,000 tokens in benchmark tests.
Anthropic launches 'auto mode' for Claude Code, a smart permissions system that automatically allows safe operations while blocking dangerous ones like mass file deletion or data exfiltration, rolling out now for Team plan users with Enterprise and API access coming soon.