Openai introduced gpt-4.1, gpt-4.1 mini and gpt-4.1 nano for the api. The source bounds the event: one million tokens is an input capacity; it does not guarantee correct retrieval or reasoning across the entire context. The story teaches how to test long context, instruction following, cost and retirement date before migrating.
Google introduced ironwood, its seventh tpu generation, aimed at inference workloads. The source bounds the event: peak and pod figures describe a vendor configuration, not the latency, cost or utilization of a particular application. The story teaches how to compare accelerators with the same workload, precision, memory, software and power.
Google published agent2agent as an open protocol for interoperability among agents. The source bounds the event: a protocol describes messages and discovery; it does not guarantee trust, authorization or task success. The story teaches how to separate transport compatibility, identity, permissions and shared semantics.
The 2025 AI Index shows sharp technical convergence, but not one universal 1.7% gap. A guide to separating benchmarks, models, capital and adoption.
Stanford hai published the 2025 edition of its ai index. The source bounds the event: the report combines different datasets, periods and metrics; a smaller gap on one benchmark is not overall leadership. The story teaches how to read a panoramic report while preserving page, denominator, period and method.
Meta released llama 4 scout and maverick and distinguished the experimental lmarena version from the downloadable weights. The source bounds the event: a score from one variant should not be attributed to another even when they share a family name. The story teaches how to freeze version, weights, prompt, tools and judge before comparing models.
Openai announced new funding and stated its post-money valuation and weekly chatgpt user figure. The source bounds the event: the post does not break down disbursement timing, investor rights or paying users. The story teaches how to separate announced size, valuation, cash received and usage metric.
Coreweave began trading after pricing its initial public offering. The source bounds the event: the release fixes share count and price but does not show that the company is a suitable investment or represents the whole AI market. The story teaches how to read an IPO through its prospectus, dilution, customer concentration, debt and use of proceeds.
Elon musk announced that xai was acquiring x in an all-stock transaction. The source bounds the event: the valuations were stated by the dealmaker for private companies and are not a market-discovered price. The story teaches how to distinguish enterprise value, equity value, assumed debt and consideration.
Anthropic published circuit-tracing experiments on claude's internal representations. The source bounds the event: the technique offers partial evidence about activations; it cannot read every thought or turn a trace into a complete causal explanation. The story teaches how to separate internal observation, causal intervention, verbal output and interpretive metaphor.
Nvidia introduced blackwell ultra for training and inference with test-time compute scaling. The source bounds the event: the published performance multiplier belongs to particular vendor workloads and configurations. The story teaches how to compare useful per-request performance with latency, accuracy, memory, energy and cost.
Manus shows planning and tools, but a demo does not measure autonomy. A guide to auditing agents by outcome, cost, traceability, recovery and permissions.
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