Tether AI open-sources TurboQuant, reducing LLM KV cache memory use by 5x

Tether's TurboQuant compresses AI working memory 5x, letting laptops and phones handle long documents and codebases without cloud offload.

The open-source project adds local persistent memory to Hermes Agent through six layers, gated retrieval, and a wiki. The post Meet Memory OS: A 6-Layer Open-Source Memory Stack Built on Top of Hermes Agent appeared first on MarkTechPost.

Tether's local AI focus could redefine data privacy norms, creating new utility for cryptocurrencies beyond traditional trading avenues. The post Tether AI hires inference engineers to advance local AI projects appeared first on Crypto Briefing.

TurboQuant's open-source release could decentralize AI, reducing reliance on cloud services and empowering local devices with enhanced capabilities. The post Tether releases open source version of Google’s TurboQuant to cut AI memory use appeared first on Crypto Briefing.

Most engineers see quantization as shrinking vectors. TurboQuant asks a harder question: can you shrink them without breaking their geometry? The post Qdrant TurboQuant Explained: Is TurboQuant the Silver Bullet? appeared first on Towards Data Science.

Meta has raised the possibility that it could be joining the likes of Amazon, Microsoft and Google in offering cloud services at some point in the future — although potential customers shouldn’t be adding the company to their suppliers list just yet. When asked about plans for offering such services at the company’s annual shareholders meeting,  Meta CEO Mark Zuckerberg said there was a possibility of the company competing with the major hyperscalers. “It’s definitely on the table.” He explained that different companies were approaching Meta asking for the company to offer an API service or to buy compute services at a premium price. “We haven’t done it yet, because we think we have a use for the compute, but when we feel we have overbuilt, then that is an option that we have.” Meta has been active in developing its data centers over the past few years, so there will be a possibility of some excess capacity. It is also developing its own AI chips. For the moment, though, the company ma

Rumble's cloud pivot could disrupt the market by challenging established giants, but it faces risks from heavy reliance on key partners. The post Rumble plans to compete with AI hyperscalers in cloud services starting mid-June appeared first on Crypto Briefing.

Warp uses GPT-5.5 and OpenAI models to coordinate coding agents across local, cloud, and open-source development workflows.