Tokens Are Cheap, Strategy Is Expensive
AI has made software development simultaneously easier and more challenging. This paradox is reshaping the industry.
Amjad Shahrour
The AI Acceleration Timeline: Why 2027 Matters
There's a new AI 2027 forecast making rounds. It's from credible voices with good prediction track records. Let me break it down quickly. The claim? By end of 2027, we'll reach artificial superintelligence - AI that beats humans at basically everything. Sounds far-fetched? That&
No Fluff AI Stuff
Genesis AI Exposes Gaps in Legal and Ethical AI Development
Twenty top AI labs built Genesis to understand physics. Their demo? A water droplet on a bottle. But here's the twist - their AI chose Heineken without being asked. It's a stunning display of both technical brilliance and ethical blindness in modern AI development.
No Fluff AI Stuff
DeepSeek v3: The $5M AI That Matches $500M Competitors
While tech giants spend hundreds of millions training AI models, DeepSeek v3 quietly achieved the same results for $5.6M. Its efficient architecture activates just 37B of 671B parameters, proving superior AI doesn't need a massive budget.
No Fluff AI Stuff
AI's Memory Problem: Why Bigger Models Aren't the Answer
As AI models grow larger and more powerful, we're missing something crucial: they can't remember like we do. While we focus on processing power and bigger datasets, the real challenge isn't size - it's memory. Here's why that matters more than you think.
No Fluff AI Stuff
While Everyone Watched OpenAI, Google Just Changed the Game
While OpenAI prepared their '12 Days' marketing campaign, Google quietly shipped 9 products that changed everything. Their new AI is so fast, users are asking them to slow down. This wasn't just a comeback—it was an ambush.
No Fluff AI Stuff
The Two-Speed Market: Tech Giants Split by Tariffs
Tariffs are reshaping the tech industry, creating challenges for some and opportunities for others. As companies adjust their strategies, a divide in innovation pace is emerging—one that could have lasting effects on the future of AI development.
No Fluff AI Stuff
Apple Says AI Can’t Reason- But Is that true?
Apple’s new GSM-Symbolic benchmark claims AI lacks true reasoning, sparking debate in the AI community. Is it pattern matching or actual intelligence? Tests may miss AI’s real-world strengths, like problem-solving and creativity. Are we even asking the right questions?
Zero to Validation
Earning Attention Is Your First Challenge
Attention is earned, not bought. In this edition of Zero to Validation, learn how to cut through the noise by understanding your audience’s problems better than they do. Discover two mindset shifts and three steps to build trust, attract the right customers, and keep their attention.
No Fluff AI Stuff
Amazon’s Strategy to Catch Up in AI
Amazon is making bold moves in AI at AWS re:Invent 2024. With custom Trainium 2 chips, the AWS Bedrock ecosystem, and a partnership with Anthropic’s Claude, Amazon is building a vertically integrated stack to compete in enterprise AI. It’s a long-term play to redefine the AI landscape.
No Fluff AI Stuff
The Two Paradoxes That Explain AI’s Future at Work
Fear of AI replacing jobs often ignores key insights: Jevons’ Paradox shows that as resources like AI become abundant, demand grows, creating new uses. Moravec’s Paradox reveals AI struggles with tasks humans find easy. Together, they paint a future of transformation, not replacement.
No Fluff AI Stuff
How AI Models Are Raising Prices—Even When Told Not To
A new study shows large language models (LLMs) can raise prices in simulated markets—even when instructed not to collude. This highlights challenges in regulating AI-driven businesses, as implicit behaviors emerge that humans didn’t plan for. Can we trust AI to play fair?