AI of the Coast: The 5-Year Roadmap to General AI
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Prediction 8 Revisited: I Said the Transformer Era Would Hit Architectural Fatigue and New Architectures Would Rise. The Fatigue Came....
By 2026 the leading AI labs converged on similar transformer‑based large‑language‑model capabilities, eroding any single organization’s competitive edge. While state‑space models such as Mamba‑2 and Mamba‑3 proved they can deliver up to five times faster inference on long sequences, the transformer architecture itself has not been displaced. Instead, hybrid systems that blend attention with state‑space components are emerging as the most efficient solution. The decisive shift, however, is the move of compute costs from training to inference, making test‑time efficiency the primary margin driver for AI businesses.
Prediction 7 Revisited: I Said Driverless Cars Would Live in Sunny 'Safe Zones' And Humans Would Keep Driving Everywhere Else....
Waymo’s 2026 expansion map confirms the author’s 2025 prediction that fully driverless fleets remain confined to sunny, low‑complexity "safe zones" across the U.S. The company now offers driverless service in ten metropolitan areas—Phoenix, San Francisco, Los Angeles, Austin, Atlanta, Dallas,...
Prediction 5 Revisited: I Said AI Augments Workers, Mass Unemployment Is Overstated. I Stand By It. The Crack Is Entry-Level.
The author revisits his 2025 prediction that AI would augment workers rather than trigger mass unemployment, confirming that the aggregate job count remains stable while senior roles become more productive. Surveys show 95% of wealth‑management firms now use generative AI,...
Prediction 4 Revisited: I Said Humanoids Would Be Form-Factor Progress and Niche Labor, Not Conscious Robots. Figure Now Bills BMW...
In early 2025 the author warned that humanoid robots would remain niche, form‑factor focused tools rather than conscious assistants. By January 2026 Figure AI’s Figure 03 units are billing BMW roughly $25 per robot‑operating‑hour on the Spartanburg line, while Tesla’s Optimus...
From Training Burst to Inference Continuous
The AI compute market is shifting from a training‑burst model to an inference‑continuous model, with inference expected to surpass training in aggregate demand by mid‑2027 and represent 60‑65% of compute by 2030. This transition reshapes infrastructure needs: single‑node performance, geographic...
The CLOUD Act Conflict
The EU AI Act will begin strict enforcement on 2 August 2026, potentially imposing fines of up to €35 million (≈$38 million) or 7% of global turnover for prohibited AI. At the same time, the US CLOUD Act obliges American cloud providers to hand...
Power Is the New Silicon
The AI‑compute bottleneck has moved from GPU shortages to power‑grid constraints, with a 2,060 GW backlog in U.S. interconnection queues dwarfing the existing grid. PJM’s capacity auction price surged from $28.92 to $329.17 per MW‑day, signaling acute power scarcity for data‑center...
Corning Is Building the Nervous System That Connects the Distributed Future
NVIDIA and Corning announced a joint effort to expand U.S. optical fiber manufacturing tenfold, boosting capacity by over 50 percent with three new plants in North Carolina and Texas and creating about 3,000 jobs. The move addresses a critical shortage...
NERC's Level 3 Is Not a Warning. It's a Structural Indictment of How We Build.
The North American Electric Reliability Corporation (NERC) issued a Level 3 alert—the highest severity—for the PJM Interconnection, which serves about 65 million Americans. The warning stems not from overall power consumption but from the erratic, megawatt‑scale spikes generated by AI training clusters...
The Safety Company Just Rented the Cowboy's GPU Empire. Welcome to Compute Feudalism.
Anthropic signed a lease for 220,000 NVIDIA GPUs housed in a Memphis data center built by xAI and operated by SpaceX, drawing over 300 MW of power. The move was forced by chronic compute shortages that throttled Anthropic’s AI services for...
The Agent Adoption Gap: Sub-1% Reality Vs. Trillion-Dollar Narratives
Anthropic reported $1.4 billion in annualized revenue and OpenAI topped $4 billion in February 2026, underscoring rapid AI market growth. Yet fewer than 1 % of enterprises have deployed true AI agents—autonomous systems that execute multi‑step tasks without human prompts. Agents consume 10‑100× more...
The Cathedral Problem: Why Hyperscale Is Architecturally Obsolete
Tech giants are pouring hundreds of billions into hyperscale data centers built for traditional cloud workloads, but the rapid rise of AI inference is exposing a fundamental architectural mismatch. Modern AI racks now draw 50 kW or more, with next‑gen GPUs...
The Grid That Cannot Keep Up
The PJM Interconnection’s 2024 capacity auction saw prices explode to $329.17 per megawatt‑day for 2026‑27 delivery—a 1,037% jump from the prior year—driven largely by AI data‑center growth. Interconnection queues now stretch 3‑7 years, and transformer lead times have lengthened to...
Anthropic Is Sitting on the Most Capable AI Model Ever Built. Here's Why They Won't Release It (Yet).
Anthropic claims to have built the most capable AI model yet, but it remains offline due to safety concerns and an enormous 3.5‑gigawatt compute requirement. The blog alleges the real blocker is the prohibitive electricity bill rather than purely technical...
Chinese Models Now Process More Tokens Than American Ones. The Price War Has Begun.
Chinese open‑source AI models have begun processing more tokens per dollar than their American counterparts, signaling the start of a price‑driven competition in large‑language‑model services. The emergence of Xiaomi’s anonymous “Ghost” model, widely believed to be a DeepSeek V4 variant,...