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Page 23 of 42
The AI Productivity Paradox: Why Saving Time with AI Makes PMs More Exhausted
ai-productivity
Featured

The AI Productivity Paradox: Why Saving Time with AI Makes PMs More Exhausted

Despite AI time savings, product managers face decision fatigue from constant validation loops and cognitive offloading

#ai-productivity#cognitive-load#decision-fatigue...
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The Medallion Architecture Debate: Why Nobody Agrees on Silver vs. Gold
data-architecture

The Medallion Architecture Debate: Why Nobody Agrees on Silver vs. Gold

Exploring the hidden inconsistencies in how teams implement raw-silver-gold layering models, from transformation logic disagreements to the platinum layer controversy.

#data-architecture#data-engineering#databricks...
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Local LLMs Are Surpassing Expectations: The Uncanny Accuracy Revolution You Missed
edge-ai

Local LLMs Are Surpassing Expectations: The Uncanny Accuracy Revolution You Missed

Recent benchmarks reveal local vision-language models like Qwen3-VL achieving near-perfect performance in OCR and complex visual tasks, challenging assumptions about cloud dependency.

#edge-ai#local-llms#multimodal-ai...
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Heretic: The One-Command Tool Dismantling LLM Alignment
alignment

Heretic: The One-Command Tool Dismantling LLM Alignment

A technical and ethical analysis of Heretic, an open-source tool that automatically removes censorship from language models in a single command.

#alignment#censorship#LLM...
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Rust in Android: Move Fast and Fix Things
android

Rust in Android: Move Fast and Fix Things

How Google’s adoption of Rust reduces memory safety vulnerabilities by 1000x while accelerating development velocity.

#android#memory-safety#rust...
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Jan-v2-VL’s 10x Breakthrough: Why Thinking Models Outlast Instruct Models on Long-Horizon Tasks
agents

Jan-v2-VL’s 10x Breakthrough: Why Thinking Models Outlast Instruct Models on Long-Horizon Tasks

An 8B vision-language model executes 49 steps without failure while competitors fail at 5. The secret? Reasoning models, not instruct tuning, hold the key to long-horizon agentic capabilities.

#agents#benchmarks#Jan-v2-VL...
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The Postgres Betrayal: When Your Database Becomes a Data Lakehouse
data-architecture

The Postgres Betrayal: When Your Database Becomes a Data Lakehouse

Snowflake just open-sourced pg_lake, letting Postgres talk directly to Iceberg tables. The SQL you know now touches petabytes.

#data-architecture#data-lake#postgres...
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The NBA’s Secret Ref: How AI Is Calling Fouls on Traditional Sports Analytics
real-time-tracking

The NBA’s Secret Ref: How AI Is Calling Fouls on Traditional Sports Analytics

A revolutionary basketball AI stack combining RF-DETR, SAM2, and SigLIP achieves 93% player recognition accuracy without manual labeling, outperforming human scorers in messy game conditions.

#real-time-tracking#sports-analytics
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When AI Actually Does Science, Humans Become the Lab Assistants
artificial-intelligence

When AI Actually Does Science, Humans Become the Lab Assistants

Google’s AI co-scientist just cracked a biological puzzle that stumped researchers for a decade, but the implications are bigger than solving one mystery.

#artificial-intelligence#biology#drug-discovery...
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The Great TPM Divide: What Engineers Really Want from Technical Product Managers
collaboration

The Great TPM Divide: What Engineers Really Want from Technical Product Managers

Forget technical certifications, engineers want TPMs who can actually unblock them, not just ones who can talk shop about APIs.

#collaboration#product-management
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When the AI Bubble Bursts: What Survives When the Hype Money Dries Up?
ai-bubble

When the AI Bubble Bursts: What Survives When the Hype Money Dries Up?

The coming AI market correction will trigger massive consolidation, GPU oversupply, and a retreat from open models – revealing who’s actually building versus just spending.

#ai-bubble#market-correction#technology-investment...
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Versioning Strategies for Events: Date-Tied, Semantic, or Schema Registry?
event-driven

Versioning Strategies for Events: Date-Tied, Semantic, or Schema Registry?

A brutally honest comparison of event versioning tactics, how teams actually manage schema evolution in production, and why most approaches create more problems than they solve.

#event-driven#microservices#schema-registry...
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