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A continuously-updating read on what the AI industry is doing, shipping, buying, and saying.
appeal 10.0Ukraine Deploys AI Logistics Drones
Ukraine's AI-enabled Hornet drones disrupt Russian supply lines, forcing shorter convoys and limiting heavy equipment movement. This directly impacts Russia's ability to sustain offensive operations, pressuring defence procurement teams to counter AI-driven precision strikes.
The tech landscape is rapidly evolving, with AI driving innovation in warfare, enterprise solutions, and hardware. Companies are focusing on cost-efficiency and sovereign AI, while regulators grapple with safety and lia…
The stream
- PRODUCTUkraine military Deploys AI drones against Russian convoys10.0
- RELEASELiquid.ai Liquid.ai Releases On-Device MoE Model8.0
- PRODUCTMistral AI Mistral AI launches full AI stack9.0
- FUNDINGXCENA XCENA raises $135M for AI memory chip8.0
- SECURITYClaude Code Undocumented features exposed in package7.0
- LEADERSHIPSam Altman AI leaders reverse job loss warnings8.0
- FUNDINGGlean Glean hits $300M ARR, cuts AI costs9.0
- RELEASEDataHub DataHub Launches Context Intelligence Layer7.0
- PRODUCTClaude Code Claude Code Gains Dynamic Workflows for AI8.0
- OPENSOURCEGoogle Google releases Model Context Protocol server8.0
- FUNDINGGeneral Compute General Compute raises $15M seed funding9.0
- LEGISLATIONIllinois Illinois Mandates AI Safety Audits for Labs8.0
- + more stories in the last 24 hoursAll stories →
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The tech landscape is rapidly evolving, with AI driving innovation in warfare, enterprise solutions, and hardware.
A weekly synthesis of the most material AI-industry moves — what shipped, what was bought, what regulators said, and how the pattern is shifting.
Capital availability is no longer the primary constraint — return justification is.
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Mistral AI Builds Full AI Stack
Mistral AI expands beyond models to offer a full AI stack, including compute and on-prem solutions. This provides European enterprises with a sovereign alternative for sensitive workloads, addressing data residency and regulatory compliance concerns.
Liquid.ai Releases On-Device MoE Model
Liquid.ai's LFM2.5-8B-A1B model enables complex agentic workflows directly on consumer hardware, reducing cloud dependency. Its expanded context, improved multilingual support, and reduced hallucinations offer platform engineers and product teams a more reliable foundation for on-device AI applications.
XCENA Raises $135M for AI Memory Chip
XCENA secured $135 million for its MX1 chip, designed to integrate compute directly into DRAM via CXL. This aims to drastically cut AI inference infrastructure costs by reducing data round trips, offering hyperscalers a path to significant operational savings and efficiency gains.
Glean Hits $300M ARR, Cuts AI Costs
AI budget-cutting is now a primary driver for enterprise AI adoption. Glean reports $300M in ARR and annualized revenue run rate, driven by its "context graph" reducing AI computing costs, demonstrating a market shift towards solutions that optimise operational expenditure for CTOs and procurement teams.
AI Leaders Reverse Job Warnings
Leading AI CEOs Sam Altman and Dario Amodei have reversed their predictions of widespread job losses, now emphasising AI's role in augmenting human work. This shift, coinciding with their companies' impending IPOs, redefines the narrative for investors and strategists, urging a focus on productivity gains.
General Compute Secures Inference Funding
General Compute secured $15 million to deploy SambaNova's SN50 inference chips, promising 600-700 tokens per second. This shifts compute economics for AI service providers, offering high-throughput, lower-power alternatives to GPUs and impacting data centre infrastructure decisions.
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