🤖AI Newsletter
March 25, 2026 · 11:33 Uhr
1OpenAI Model 'Spud' Completed – Next Performance Leap
@Angaisb_ / X OpenAI has completed initial development of a new model internally called 'Spud', which insiders say should be a significant performance improvement. This complements OpenAI's parallel strategy with GPT-5 integration of reasoning capabilities as a core feature. The timing is strategically critical: Polymarket sees Anthropic with 98% probability as the model leader through the end of March – OpenAI is under pressure to regain the initiative.
2Morgan Stanley: AI Breakthrough H1 2026 – Energy Crisis as Brake
@SciTechera / @rohanpaul_ai / X Morgan Stanley predicts a major AI breakthrough in the first half of 2026, driven by ~10x more computing power, which could produce ~2x more capable models. However, the biggest obstacle is a looming energy crisis: AI infrastructure's power demand exceeds available capacity, already driving investors toward energy infrastructure stocks. Motley Fool and Yahoo Finance confirm: the next AI wave is not about chips, but about power.
3Sora Being Discontinued? OpenAI Video Service in Jeopardy
r/OpenAI A thread in r/OpenAI with 301 upvotes and 279 comments is causing uproar: reports suggest OpenAI's video generation product Sora could be discontinued. This would be a significant strategic retreat for OpenAI in the fiercely competitive video AI market. The timing coincides with OpenAI's massive personnel expansion – apparently resources are being re-prioritized.
4Google DeepMind Releases AGI Measurement Framework – Structured Debate
WebProNews / Google DeepMind Google DeepMind has published a scientific framework intended to systematically measure how close the AI industry is to AGI – without claiming to have already achieved it. The paper comes at a time when all major labs are shipping models at a pace that overwhelms evaluation methodology. The framework could set industry-wide standards for regulation and benchmark discussions.
5Musk Plans 'Terafab' – Own AI Chip Factory for xAI and Robotics
@business (Bloomberg) / X Bloomberg reports on Elon Musk's plans for 'Terafab', a megafactory for advanced AI semiconductors, robotics, and aerospace applications. The initiative would free xAI from NVIDIA dependency and compete directly with Meta's MTIA chips and OpenAI's infrastructure strategy. Given ongoing US export controls – three individuals have already been indicted for illegal AI chip diversion to China – vertical chip integration gains massive strategic importance.
Situation Report
The AI industry is in March 2026 facing a phase of infrastructure bottlenecks and strategic repositioning: While Anthropic holds model leadership according to prediction markets and OpenAI counters with 'Spud' and a doubling of headcount, the actual bottleneck shifts from chips to energy – Morgan Stanley explicitly warns of a power crisis as a growth brake. In parallel, vertical integration is escalating: Meta, Musk, and OpenAI are investing heavily in proprietary hardware stacks, while export control violations show that geopolitical pressure on AI chips is real and criminally relevant. Google DeepMind's AGI measurement framework additionally signals that the industry is seriously beginning to define regulation and evaluation standards ahead of the next performance leap – a sign of growing institutional maturity, but also growing pressure from regulators.
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