It's important to know who owns the meter though. Water and power are public infrastructure with rules. AI is a handful of private labs setting whatever rate they want.
BIG TECH
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AI Week Recap: Model Drops, Memory Overhaul, IPO, and Federal Bill
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The past week in AI was genuinely wild. Model launches. A $965B IPO filing. Memory that rewrites itself. And a federal AI bill nobody saw coming. Here's your May 31–June 5 recap What we're covering:
→ 6 major model drops
→ ChatGPT memory overhaul
→ Google's new personal -
Meta launches AI Agent for WhatsApp Business globally
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Meta’s #AIAgent for WhatsApp #Business is now available globally
by Ivan Mehta @TechCrunch Learn more: https://
bit.ly/4vsMQh8 #GenerativeAI #ArtificialIntelligence #MachineLearning #ML -
Microsoft enforces AI agent rules with Governance Toolkit
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Microsoft just turned AI agents from "please behave" into hard law. AI agents now execute real actions inside companies. Just telling them to follow the rules fails 26.67% of the time. Microsoft released the Agent Governance Toolkit. It enforces rules at the application
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Apple’s WWDC 2026: Siri Rebuilt with 1.2 Trillion Parameter Gemini
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Tomorrow could be Apple’s most important AI moment yet. WWDC 2026 is expected to be all about one thing: making Siri relevant again. If the leaks are right, Apple is rebuilding Siri around a custom Google Gemini model, reportedly around 1.2 trillion parameters. For context:
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Apple will unveil deep integration of Gemini 1.2t into its OS
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Apple's WWDC starts on Monday. This year it promises to be particularly interesting. The secret will be revealed of how Apple has finally integrated a proper AI model deep into its operating system. As is known, it's a Gemini version, developed specifically for Apple, with 1.2t
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Microsoft unveils its first advanced reasoning AI
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Microsoft’s first advanced reasoning #AI is here
by Jay Peters @verge Learn more: https://
bit.ly/4uScHiE #GenerativeAI #ArtificialIntelligence #MachineLearning #ML -
Gemini Pro models lag behind Claude and GPT in iteration speed
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The Gemini Pro models do not seem to be iterating anywhere near as quickly as Claude or GPT (last release was 3.1 Pro in February). Its causing a growing performance gap between Google and the other two labs, and the Gemini 3.5 Flash model, good as it is, doesn't close it much.
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Yann LeCun clarifies his role: ran FAIR, not involved in Llama
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I didn't "run Meta's AI initiatives."
I ran FAIR (the fundamental AI research lab) from 2014 to 2018.
Then, I became an IC, and returned to research. I was nobody's boss.
Iwas never involved in LLM research, and made zero technical contributions to Llama. I merely cheered from