Latest in AI
OpenAI’s ‘Compute Campus’ Push Tests the Politics of AI Infrastructure
OpenAI’s proposed “AI compute campus” label could reshape the politics of data centers, as communities weigh promises of jobs and investment against demands for power, water, land and transparency.
OpenAI’s Smaller Funding Target Tests Investor Appetite for AI
OpenAI’s reduced funding target puts investor appetite for frontier AI under scrutiny, raising questions about computing costs, infrastructure expansion, valuation, and whether private capital will keep financing the industry’s most ambitious plans.
Decision Models Turn AI Competition Toward Speed, Cost and Control
AI decision models are competing on speed, cost and distribution, but calibration, reliability and independent testing may determine whether they become trusted enterprise infrastructure.
Kimi K3.1 Pro’s Benchmark Surge Meets Its First Trust Test
Kimi K3.1 Pro posts strong early benchmark results ahead of its promised open-weight release, but allegations over paid promotion raise questions about transparency, reproducibility and whether technical progress can earn lasting trust.
Nvidia’s Vera Rubin Bandwidth Cut Raises Questions for AI Scaling
Nvidia has cut its listed Vera Rubin NVLink bandwidth from 3.6 to 3.0 TB/s per GPU, raising questions about signal integrity, AI scaling, deployment costs and the gap between theoretical and usable performance.
Google’s AI Search Revenue Gap Is Driving a Push for More Ads
Google says AI Search attracts users but earns less than traditional search, prompting plans for more ads that could reshape advertising, publishers’ traffic and online discovery.
Liquid AI’s LFM3 Puts the Business Case for Local AI Under Pressure
Liquid AI’s LFM3 models target private, low-cost local deployment, but hardware, licensing, reliability and human-review costs could determine whether the business case holds in production.
An Agent’s Memory Is Now a Deliberate System, Not a Longer Prompt
AI agents are moving beyond ever-longer prompts. This explainer shows how compaction, retrieval, deterministic tools, subagents and durable state create more reliable, efficient memory for long-running work.
Deepgram’s Daily Deal Tests Whether Open Voice AI Can Stay Neutral
Deepgram’s acquisition of Daily expands its voice AI infrastructure reach while testing whether Pipecat can remain genuinely open, vendor neutral and independently governed after the deal.