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1. ML Development in VS Code with Google Cloud Power: Workbench Extension Now Available
The Google Cloud Workbench Notebooks
Source-linked text edition
The written, source-linked counterpart to all three Daily videos.
Written edition available; video review is in progress.
5 source-linked editorial stories.
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The Google Cloud Workbench Notebooks
rapid_rail
We've made three improvements
rapid_rail
Gemini CLI publishes Release
rapid_rail
Answering the questions of "why we built
rapid_rail
The open source Genkit framework has
Written edition available; video review is in progress.
5 source-linked editorial stories.
official
See Tom Shaw's perspective on the infrastructure and technology inside one of Meta's data centers. The post Inside One of Meta's Data Centers appeared first on Meta Newsroom.
Key number: No material number was disclosed in the verified source.
Impact: The setup is about whether AI infrastructure spend is still turning into revenue, backlog, or supplier demand for META.
Downside / limitation: If the update does not change a measurable variable, it stays centered on META.
Watch next: Watch capex pacing, supplier orders, backlog conversion, power constraints, and management tone.
Next confirmation date: No dated confirmation event was identified in the verified source.
filing
SEC filing on 2026-06-12. Form 8-K. Items: 8.01, 9.01. Primary filing text references agreement, earnings, guidance detail.
Key number: No material number was disclosed in the verified source.
Impact: The exact language can reset timing, risk, or cash-use assumptions.
Downside / limitation: If the filing does not change expectations, the move stays centered on AMZN.
Watch next: Watch the exact language, effective dates, and any capex or operating detail.
Next confirmation date: No dated confirmation event was identified in the verified source.
filing
SEC filing on 2026-07-01. Form 8-K. Report date 2026-06-26. Items: 5.02. Primary filing text references earnings detail.
Key number: No material number was disclosed in the verified source.
Impact: The exact language can reset timing, risk, or cash-use assumptions.
Downside / limitation: If the filing does not change expectations, the move stays centered on AMD.
Watch next: Watch the exact language, effective dates, and any capex or operating detail.
Next confirmation date: No dated confirmation event was identified in the verified source.
earnings
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Key number: No material number was disclosed in the verified source.
Impact: Watch whether the next print changes the rate path, liquidity conditions, or risk appetite.
Downside / limitation: If rates and inflation stop improving, the broader finance setup stays under pressure for SPY.
Watch next: Watch the next data release, central-bank tone, and any change in benchmark yields.
Next confirmation date: No dated confirmation event was identified in the verified source.
official
As AI moves from model development to production inference, compute demand is accelerating and shifting toward continuously operating AI factories that generate tokens at scale...
Key number: No material number was disclosed in the verified source.
Impact: NVIDIA is tying AI infrastructure to unit economics; investors should track whether software lowers cost per token without hurting latency.
Downside / limitation: If cost-per-token claims do not show up in customer adoption, margins, or guidance, the story stays centered on NVDA.
Watch next: Watch throughput, cost per token, latency claims, customer adoption, and whether margins or capex assumptions change.
Next confirmation date: No dated confirmation event was identified in the verified source.
Written edition available; video review is in progress.
5 source-linked editorial stories.
repo
Privacy first, AI meeting assistant with 4x faster Parakeet live transcription, speaker diarization, and Ollama summarization built on Rust. 100% local
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Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop
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Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote
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why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
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AI 时代的伯克希尔:基于 Claude Code Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code