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Bloomberg says SoftBank shares hit a record high as Tokyo investors started bidding up the company on the idea that OpenAI could eventually move closer to an IPO. The important part is not just one stock jump. It is that AI value is starting to get mapped onto tradable public-market proxies rather than staying trapped inside private rounds and frontier-lab storytelling.

If the market is already rewarding whoever sits closest to OpenAI exposure, the AI race looks a little less like abstract model hype and a little more like a contest over who actually controls the assets and infrastructure that can capture value.

Reuters says Huawei is pushing a Tau Scaling Law thesis that focuses on optimizing signal and data movement to improve chip density and performance without depending entirely on traditional lithography shrink. In a world where China still faces hard limits on frontier tooling, that is a meaningful signal.

The compute race may no longer be decided only by who has the best machines, but also by who can invent a different enough design path to work around the old rules.

Elon Musk says Grok V9-Medium finished training, added more Cursor data, and is 2 to 3 weeks from release: Elon Musk says Grok V9-Medium (1.5T) has finished foundation training, added more Cursor data in supplementary training, and is now 2 to 3 weeks from release while fine-tuning and reinforcement learning continue. Taken as a source-bound product update, it points to a coding-model race centered on training scale, proprietary usage data, and release cadence.

David Sacks argues AI is increasing software demand instead of reducing it: David Sacks argues that software-engineer job postings are rising even as coding agents spread because AI is making code cheaper and expanding software demand faster than it cuts labor. As a source-bound macro view, it pushes the labor conversation away from a simple AI replaces developers frame.

OpenAI reportedly generated about $5.7 billion in Q1: OpenAI generated about $5.7 billion in revenue in the first quarter and kept roughly a $1 billion lead over Anthropic, with Codex helping fuel the growth. If that reporting holds, it suggests the coding-agent push is already showing up in real revenue rather than just product momentum.

The White House reportedly approved a secret $9 billion AI chip push for U.S. spy agencies: The White House approved a secret request worth about $9 billion to buy AI chips and build related infrastructure for U.S. intelligence agencies. The move shows the U.S. government entering the compute race as a direct buyer, not just a regulator.

Zoom is sitting on nearly $1 billion of upside from its Anthropic stake: Zoom's minority stake in Anthropic is now worth roughly $1.27 billion, leaving the company with close to $1 billion in unrealized gain. It is a reminder that AI upside is not only accruing to frontier labs, but also to public companies sitting on the right exposure.

Grok is failing to win Washington even as the xAI and SpaceX narrative stays loud: Grok has failed to gain meaningful traction with the U.S. government, undercutting the broader AI growth story around xAI and SpaceX. The gap here is between public narrative and procurement trust inside a much stricter buyer environment.

The useful part of this tip is not that it reveals some magic prompt. It is that it reframes how to use coding agents. Boris argues that auto mode is the best current way to get more leverage out of Claude Code because it removes permission prompts and lets you start one session, leave it running, and work on another in parallel.

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Forbes describes a growing class of AI-enabled solopreneurs operating closer to a business of one by offloading admin, research, communication, and operating tasks.

Bloomberg pulls Samsung, TSMC, and regional market performance into one broader thesis: AI is not just lifting a handful of U.S. names. It is helping turn supply-chain-linked markets into new hotspots.

The Verge rounds up opposition, energy pressure, and local politics around AI buildouts, making the pattern feel structural rather than anecdotal.

Via open summaries, this points to Meta pushing AI deeper into workforce behavior and performance design under Andrew Bosworth's lead.