Anthropic files IPO prospectus: about $4.6 billion in 2025 revenue, a roughly $42 billion net loss, and 50.1% of votes for its seven co-founders

Same score, one two-hundredth the latency — the most expensive calls inside an agent may not need a flagship model at all.

Once agents touch payments, approvals and fulfillment, durable execution moves from a developer-tool budget into enterprise infrastructure.

Outside Meta, Manus’s most valuable asset is whether its roughly $400 million revenue run rate can become durable, renewable business.

Claude's internal R&D value is shifting from how much code it writes to how many tasks it can close.

ByteDance keeps control while outside capital funds long-cycle research; Anew must prove the spinout through drug milestones.

ByteDance's revenue growth remains near 30%; the return on AI investment depends on new businesses gradually covering their costs, rather than total revenue alone.

Once the guardrail is one person's judgment, the only certainty left is a single term in office.

Anthropic is beginning to show operating profit, but where training expenses sit will shape how investors judge the quality of those earnings.

Sovereign capital is merging venture valuations for new transport networks with the long-duration return profile of urban infrastructure.

Kimi K3 has lifted Moonshot's revenue velocity; its next valuation depends more on retention and inference margins than on the steepness of an ARR curve.

DeepSeek is debuting its new architecture in a low-priced Flash model, leaving real-world task costs to determine whether the efficiency gain holds.

Backend substitution reduces migration work but leaves developers needing version identification and regression tests. Lower bills and stable task performance need to be accepted together.

The limited beta offers a window to test the new architecture; improvements in capability, speed and cost each need measurement on the same real tasks.

ByteDance wants video models to supply Pico with content; keeping pace with every head turn will be more persuasive than a beautiful opening demo.

Training on Nvidia, inference on domestic silicon — where that line sits is the real progress bar for China's compute self-sufficiency.

Power access and construction speed can win orders. Sustaining a delivery premium requires converting commissioning schedules into cash receipts.

With prices aligned, the fight moved to allowances and token efficiency — the bill is the only battleground left with any distance in it.

Nvidia's $12.9 billion did not buy three million models — it bought the default option on the first page a developer opens.

A company whose valuation rose sevenfold in six months is queuing to list — pricing power is being handed from private markets to public ones.

When the usage tier cannot be explained, the loss is not the settlement — it is that people willing to pay $200 a month start comparison shopping.

Only one bottleneck separates building rockets from casting turbine blades; the AI capacity race has reached heavy industry.

Four months old, still in private beta, up fiftyfold — this money prices a thesis that personal assistants have exactly one winner, not a product.

A 2.99-to-2.92 gap says the contest among Chinese open-weight models has moved from benchmarks to engineering delivery.

Once the racks are self-built, DeepSeek's cost advantage stops being an algorithm question and becomes a capex question.