Latest in AI
MiniMax’s cheaper AI model faces a costly test of trust
MiniMax's cheaper M3.1 Flash model promises faster, more affordable AI agents, but reported citation hallucinations raise questions about verification costs and whether enterprise savings survive.
Anthropic’s Inference Economics Point to a New AI Infrastructure Race
Anthropic’s S-1 highlights a nearly fourfold rise in inference revenue per megawatt, fueling an AI infrastructure race while raising questions about costs, margins and accounting.
Amazon’s Anthropic Notes Reveal the Scale of Its AI Ownership
Amazon’s Anthropic convertible notes could become a multibillion-dollar stake after an IPO, revealing how cloud partnerships, strategic financing, dilution and nonvoting shares are reshaping ownership in frontier AI.
Amazon’s Anthropic Stake Emerges Through $6.2 Billion Note Conversion
Anthropic’s IPO filing reveals Amazon could convert $6.2 billion in convertible notes into up to 1.84 billion Class N shares, creating major economic exposure with limited voting power.
Coding Harnesses Can Triple Costs Without Making AI Agents Better
A new study finds coding agent harnesses can triple token costs without reliably improving task accuracy, challenging assumptions about orchestration layers and highlighting the need for cost-aware benchmarks.
Kimi K3.1 Pro Has the Benchmarks. Now It Must Prove the Product
Kimi K3.1 Pro has the benchmark scores to challenge frontier models, but Moonshot must still release workable weights, clear licensing and evidence developers can independently verify.
LFM3 Brings Small, Multimodal AI Into the Enterprise’s Own Hands
Liquid AI’s LFM3 family brings small text, vision, audio and decision models to local enterprise deployments, promising private, customizable AI while highlighting limits for complex agentic tasks.
General Compute Bets $100 Million on an AI Inference Market Beyond GPUs
General Compute raises $100 million to build an inference cloud combining Nvidia GPUs and specialized chips, betting hybrid infrastructure can make AI responses cheaper and challenge GPU dominance.
Opera’s WebAI Tests the Browser as a New Home for Local AI
Opera’s WebAI proposal brings local AI inference to the browser through Prompt, Decision and Semantic Embeddings APIs, promising privacy and lower cloud costs while raising questions about compatibility, security and device performance.