🔌 Google’s Texas Megabuild

Google is making a big move in Texas, putting $40 billion into new data centers that will bring jobs, training, and long-term community support. It’s a major boost for local economies, and a clear sign of the state’s growing role in tech. Let’s dive in!

In today’s insights:

LATEST DEVELOPMENTS

Evolving AI: Google commits $40B to Texas data centers.

Google will invest $40B through 2027 to build new data centers in Armstrong and Haskell County, Texas. Sundar Pichai says the plan will create thousands of jobs, fund skills training, and support energy affordability efforts. The move reflects a surge in AI infrastructure spending, but not everyone is happy. Pushback is rising in other states over water use, energy strain, and higher utility bills.

AI is starting to look less like a pure software story and more like heavy industry, and a $40B bet in Texas shows where the next bottlenecks sit. These campuses will chew through serious amounts of power and water, which puts utilities, local politics and grid operators right in the middle of your AI roadmap. More regions may start competing for data center deals, even as others resist over water and grid pressure. If infrastructure becomes the bottleneck, the next winners may be power producers and local governments, not just model labs.

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Evolving AI: Microsoft’s AI chief calls artificial superintelligence a future to avoid.

Microsoft AI CEO Mustafa Suleyman says building superintelligence should not be the mission and calls it an anti goal. His view conflicts with leaders like Sam Altman and Demis Hassabis, who expect superhuman systems in five to ten years. Meta’s Yann LeCun disagrees and argues we are decades away. The split shows how major labs do not agree on how fast or how far AI should go.

For people building or buying AI right now, this split is starting to shape real strategy: Microsoft is pitching “humanist superintelligence” that stays bounded, controllable and clearly non-conscious, while OpenAI and others talk about racing toward systems that might outthink whole research teams by 2030. That gap affects everything from your AI risk posture and hiring plans to where you place your infra and model bets over the next five years.

Evolving AI: OpenAI says ChatGPT will obey no-dash rules now.

OpenAI claims it finally fixed one of ChatGPT’s strangest quirks: ignoring direct requests to avoid em dashes. Altman said it now follows custom instructions properly, but replies to his post show mixed results. Some users still saw dashes, others pointed out ongoing hallucinations like outdated political facts.

Users have begged for stricter style control because AI slips ruin trust fast. If OpenAI nails small instruction-following tweaks, it gets easier to drop the model straight into daily writing tasks without endless editing. People already use GPT to draft docs, emails, and posts at scale. The real question now is whether these small wins show that hallucinations will finally shrink too.

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