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Google Cloud: Review GitHub code using Gemini Code Assist (Jul. 3, 2026)
Gemini Code Assist on GitHub is an automated reviewer that summarizes pull requests, gives in-depth code reviews, and speeds up reviews, improving code quality. -
Simon Willison: Fable's judgement (Jul. 3, 2026)
A Fireside Chat suggested letting Fable and Opus use their own judgement for tasks like testing, instead of strict rules. Claude Code stored a memory delegating coding to lower‑power subagents, with the main model reviewing, reducing token use, accelerating work. -
Mistral AI: Leanstral 1.5: Proof Abundance for All (Jul. 2, 2026)
Leanstral 1.5 is an open model that “verifies complex code properties and uncovers previously unknown bugs in open-source repositories.” -
WebKit: Introducing the Safari MCP server for web developers (Jul. 1, 2026)
Safari Technology Preview 247 adds a Safari MCP server that lets local agents connect to a Safari window, inspect DOM, network, screenshots, and console. -
WSJ: Anthropic Reaches Deal With Trump Administration to Restore Access to Fable AI Model (Jun. 30, 2026)
Anthropic agreed with the Trump administration to restore access to Fable 5 after fixing Amazon-flagged jailbreaks, adding a safeguard, and redirecting risky prompts. The deal ends a 2½-week shutdown and signals tighter government oversight. -
WSJ Opinion: AI and the English Language (Jul. 2, 2026)
Orwell warned against clichés, and AI can flag them, yet it recombines familiar phrases at scale into polished, soulless prose. People may accept popular AI content, but they will still crave original, human voice, honesty, and experience. -
WSJ: The World’s Top Economists Are Sounding the Alarm on AI (Jul. 1, 2026)
At a Sintra symposium, central bankers said AI could boost productivity, but also fuel rising debt, investor leverage, stretched valuations, and job losses. They warned AI-driven cyber flaws, and failed productivity gains, could threaten financial stability. -
Canonry: Every AI Visibility Tool Is Lying to You (Jun. 30, 2026)
AI visibility tools often present tidy ranks and percentages that hide noisy, personalized, geographic, and nondeterministic behavior, plus scraping and API differences, prompt and scoring biases, and model drift. Honest measurement should show methods, variance, and raw evidence. -
Business Insider: US energy chief says concerns about data centers are 'overblown' (Jun. 30, 2026)
US energy secretary Chris Wright called worries about data centers real but overblown, saying benefits like cheaper power and low water use outweigh harms. Polls show 70% oppose local AI data centers. -
WSJ: A Theoretical AI Bust, South Korea Chips In and Memory Profits Soar (Jun. 30, 2026)
The Bank for International Settlements warns an AI investment boom, fueled by heavy tech spending and debt, could end in a bust that destabilizes households, markets, and supply chains. Memory-chip expansion and high prices heighten the risk. -
Tyler Cowen: How will AI and the fertility crisis interact? (Jul. 2, 2026)
AI will empty public spaces, making each person more noticeable, and spreading small-town habits to cities. People will invest in appearance, charisma, and unique identities. (Or perhaps search for a beautiful space for their college education.) -
WSJ: Read the Emails Revealing How Anthropic’s Pentagon Relationship Fell Apart (Jul. 2, 2026)
Emails between Anthropic CEO Dario Amodei, and undersecretary Emil Michael reveal tense talks over Pentagon use of AI, especially surveillance and autonomous weapons, and failed compromises. -
WSJ: The Anthropic Fable Ban Is Over. The Battle Over How to Tame AI Has Just Begun. (Jul. 1, 2026)
The U.S. briefly banned, then lifted, export controls on Anthropic’s Fable, prompting industry fears of government gatekeeping of advanced AI. Companies want clearer rules, while officials balance innovation, security, and competition with China. -
Aeon: What we can’t measure about AI – yet (Jun. 30, 2026)
Innovations often show visible harms by existing measures, yet their greatest benefits appear later as new practices, institutions, and possibilities. For example, anaesthesia enabled modern surgery, dating apps reshaped relationships and integration, and electricity spawned new cultural and technological worlds. -
Boris Cherny: AI Job Archetypes (Jun. 28, 2026)
Five archetypes — Prototyper, Builder, Sweeper, Grower, and Maintainer — cut across engineers, designers, PMs, and data scientists.
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