标签：#c

Over the past week, two narratives have been colliding everywhere I look. On one side, there's panic. AI is expected to replace marketers, engineers, and entire categories of knowledge work almost overnight. On the other, there are quieter but far more consequential signals: enterprise teams discovering their AI infrastructure is burning through API budgets far faster than expected. This isn't because the underlying models are weak, but because the systems built around them are fundamentally inefficient by design. These aren't separate stories. They're the same failure showing up in different places. A conversation with another developer made that gap visible in real time. He argued that auditing a 150,000-line codebase requires feeding the entire repository into a model in one single, massive pass. It's still a common assumption in mainstream tech: that an LLM works like a giant biological brain that you must fully load with raw text before it can begin to think. But that assumption is already outdated. Modern AI systems don't scale through brute-force context. They scale through structure. And that shift changes everything. Key takeaways Bigger context windows did not solve AI. Treating a frontier model as a monolithic processor that re-reads an entire system on every query is wasteful, dilutes attention, and hides bugs under raw volume. ARC-AGI-3 makes the gap stark: frontier models scored under 1% on interactive reasoning tasks that untrained humans solve at nearly 100%. The gap is architecture, not memory. The teams pulling ahead treat the model as one narrow component inside a larger system: intelligent routing, task decomposition, retrieval, and only the minimum necessary context. The next advantage is not the biggest model or the longest prompt. It is the system designed around the model. Prompting was the first generation; systems architecture is the next. The Myth of the Infinite Context Window When context windows expanded into the hundreds of thousands o

Executive Summary The Salesforce Education Data Architecture (EDA) has served educational institutions well for over a decade as a free, community-supported managed package. However, with the 2023 launch of the reimagined Education Cloud—built natively on the Salesforce core platform—institutions now face a strategic choice about their CRM foundation . While EDA remains supported and continues to function effectively, Education Cloud represents a fundamental architectural shift that offers significant advantages in simplicity, scalability, and access to innovation . This paper examines why Education Cloud is demonstrably easier to implement and maintain compared to its predecessor, addressing the key differences in architecture, data model, and ongoing operations. 1. The Architectural Advantage: Built-In vs. Bolted-On 1.1 EDA: A Managed Package on Top of Salesforce EDA is a managed package installed on top of the Salesforce core platform . As a managed package, it creates additional layers of complexity: Installation and Updates: EDA requires separate package installations and updates that can lag behind Salesforce's native release cycle Namespace Conflicts: The managed package introduces its own namespace, potentially creating compatibility issues with other tools Translation Limitations: EDA's localization has documented issues, including a known problem where the Preferred Phone functionality fails when users switch to languages other than English Record Type Validation Bugs: Deactivating an account record type can block contact creation—a validation error that requires manual workarounds 1.2 Education Cloud: Native to the Core Platform Education Cloud represents a fundamentally different approach. Rather than being a package installed on Salesforce, Education Cloud is built directly on the Salesforce core platform . Key Advantages: No Package to Install: Education Cloud runs natively on the Salesforce core platform, eliminating the need for separate managed pack

The feud between NightmareEclipse and Microsoft shows no signs of resolving soon.

The message: > Extended: Fable 5 is included in your weekly limit > Through July 12, you can use up to 50% of your weekly usage limit on Fable 5. If you hit your limit, you can continue on Fable 5 with usage credits. Fable 5 draws down usage faster than Opus 4.8. Run /model and select Fable to use it. Learn more (https://support.claude.com/en/articles/15424964-claude-fable-5-promotional-access) seems to have disappeared from claude-code. Anyone else noticed?

Inevitably when starting a new web project I want to pick the perfect font. This is just a browser that shows Google Fonts, randomly, and lets me tag favorites. I built this years ago and just used AI to give it a minor facelift.

Broadcom accuses Allstate of dodging VMware audits.

Yes, you heard it right, you can now run a Dockerfile on Vercel. Vercel was the go-to place where...

The AI firm Anthropic has developed a technique that has given it the clearest glimpse yet at what’s really going on inside large language models as they answer questions or carry out tasks. What they found ranges from the mundane to the unnerving. Researchers at the company built a tool called the Jacobian lens (or…

Preclinical trial is testing the feasibility of humanoid robots in surgery.

You can see if ads on Google Search, Google Discover, and YouTube were made or edited using AI from a new section in Google's "My Ad Center," as reported earlier by TechCrunch. The update, announced on Thursday, adds a "created or edited with AI" label under the "how this ad was made" tab. Users can […]

Funk became the oldest person to fly in space in 2021.

25 years ago, I was approached to join a band called Fading Maize at Ripon College in Wisconsin. We did what we could with what we had. We recorded 3 albums over the next 3 years and played at as many bars and coffee shops as we could. We built a website with Microsoft Frontpage. Then we all went our separate ways, got married, had kids, focused on other things. Earlier this year I had the idea to approach the lead singer who wrote all of the lyrics and melodies to the stuff we played back then