Software Engineering Daily SED News: Perplexity’s Chrome Play, Meta’s AI Freeze, and Intel Becomes Too Big to Fail
27 snips
Sep 9, 2025 Perplexity’s bold move to buy Google Chrome sparks discussions on tech competition and antitrust issues. The hosts examine the U.S. government's significant investment in Intel and its implications for the semiconductor industry. Meta's hiring freeze raises questions about AI's practical capabilities versus industry hype. Insights into the risks of AI deployment, especially around data privacy and security, reveal critical challenges. Lastly, they tackle transparency in job postings and the quirks of AI language biases, shedding light on current industry dynamics.
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Start With Human-On-The-Loop Agents
- Start agentic projects as human-on-the-loop tools that compile context and draft first-pass solutions for experts.
- Use agents to reduce tedious data gathering so humans can validate and act faster.
Build Deterministic Checks And Rollbacks
- Validate model outputs with deterministic checks like compilation, sandbox runs, and unit tests where possible.
- Build rollback and logging capabilities for agent actions to keep systems safe and auditable.
Metadata Is The Real AI Bottleneck
- Metadata (data about data) is the new battleground for making models useful on enterprise data.
- Knowledge graphs, ontologies and semantic layers are crucial to encode business context models won't learn from raw tables alone.
