Anita
@anitalacea.com
No-hype AI adoption and implementation - because I built it from the ground up, at enterprise scale.
Denmark is trying something wild: giving you legal ownership of your own face and voice. Like, literally making it illegal to use "you" without permission.
Your face = your property.
Your face = your property.
July 11, 2025 at 4:48 PM
Denmark is trying something wild: giving you legal ownership of your own face and voice. Like, literally making it illegal to use "you" without permission.
Your face = your property.
Your face = your property.
The corporate transformation is inevitable:
Companies become idea-execution platforms, not employers.
Why hire programmers when you can hire visionaries who execute through AI?
The org chart flips: fewer implementers, more orchestrators.
Management becomes the new technical skill.
Companies become idea-execution platforms, not employers.
Why hire programmers when you can hire visionaries who execute through AI?
The org chart flips: fewer implementers, more orchestrators.
Management becomes the new technical skill.
July 10, 2025 at 7:14 PM
The corporate transformation is inevitable:
Companies become idea-execution platforms, not employers.
Why hire programmers when you can hire visionaries who execute through AI?
The org chart flips: fewer implementers, more orchestrators.
Management becomes the new technical skill.
Companies become idea-execution platforms, not employers.
Why hire programmers when you can hire visionaries who execute through AI?
The org chart flips: fewer implementers, more orchestrators.
Management becomes the new technical skill.
Reality check: Autonomous vehicles still need human oversight after 12 years.
Karpathy's lesson: Avoid hype of immediate full automation.
Focus on gradual capability building with clear human verification checkpoints.
Sustainable progress beats spectacular failures.
Karpathy's lesson: Avoid hype of immediate full automation.
Focus on gradual capability building with clear human verification checkpoints.
Sustainable progress beats spectacular failures.
July 9, 2025 at 7:01 PM
Reality check: Autonomous vehicles still need human oversight after 12 years.
Karpathy's lesson: Avoid hype of immediate full automation.
Focus on gradual capability building with clear human verification checkpoints.
Sustainable progress beats spectacular failures.
Karpathy's lesson: Avoid hype of immediate full automation.
Focus on gradual capability building with clear human verification checkpoints.
Sustainable progress beats spectacular failures.
Visual interfaces still matter in the age of natural language programming.
They leverage human visual processing for faster generation-verification loops. Pure text interaction isn't optimal for complex AI collaboration , custom GUIs dramatically improve efficiency.
They leverage human visual processing for faster generation-verification loops. Pure text interaction isn't optimal for complex AI collaboration , custom GUIs dramatically improve efficiency.
July 9, 2025 at 4:15 PM
Visual interfaces still matter in the age of natural language programming.
They leverage human visual processing for faster generation-verification loops. Pure text interaction isn't optimal for complex AI collaboration , custom GUIs dramatically improve efficiency.
They leverage human visual processing for faster generation-verification loops. Pure text interaction isn't optimal for complex AI collaboration , custom GUIs dramatically improve efficiency.
The talent strategy flip: Hire for human-AI collaboration, not just technical skills.
People who can effectively work with AI systems become more valuable than pure programmers.
The bottleneck shifts from technical ability to collaboration effectiveness.
People who can effectively work with AI systems become more valuable than pure programmers.
The bottleneck shifts from technical ability to collaboration effectiveness.
July 9, 2025 at 1:27 PM
The talent strategy flip: Hire for human-AI collaboration, not just technical skills.
People who can effectively work with AI systems become more valuable than pure programmers.
The bottleneck shifts from technical ability to collaboration effectiveness.
People who can effectively work with AI systems become more valuable than pure programmers.
The bottleneck shifts from technical ability to collaboration effectiveness.
Build "Iron Man suits" not "Iron Man robots."
Karpathy's key insight: Partial autonomy products win because they combine AI generation with human verification.
Full automation fails; augmentation succeeds.
This is the decade of agents, not the year.
Karpathy's key insight: Partial autonomy products win because they combine AI generation with human verification.
Full automation fails; augmentation succeeds.
This is the decade of agents, not the year.
July 8, 2025 at 7:30 PM
Build "Iron Man suits" not "Iron Man robots."
Karpathy's key insight: Partial autonomy products win because they combine AI generation with human verification.
Full automation fails; augmentation succeeds.
This is the decade of agents, not the year.
Karpathy's key insight: Partial autonomy products win because they combine AI generation with human verification.
Full automation fails; augmentation succeeds.
This is the decade of agents, not the year.
After analyzing 50+ years of technology hype cycles, I've concluded that our ~4000 weeks of life are better invested in developing domain expertise than catastrophizing about AI. The data shows transformative technologies integrate gradually, not explosively. Focus on fundamentals.
July 8, 2025 at 5:38 PM
After analyzing 50+ years of technology hype cycles, I've concluded that our ~4000 weeks of life are better invested in developing domain expertise than catastrophizing about AI. The data shows transformative technologies integrate gradually, not explosively. Focus on fundamentals.
> Karpathy's Software 3.0 insight: English is becoming the programming language.
> When everyone can "program" using natural language, your competitive advantage shifts from technical complexity to data quality and domain expertise.
> Oh, and customer relationships!
> When everyone can "program" using natural language, your competitive advantage shifts from technical complexity to data quality and domain expertise.
> Oh, and customer relationships!
July 8, 2025 at 1:45 PM
> Karpathy's Software 3.0 insight: English is becoming the programming language.
> When everyone can "program" using natural language, your competitive advantage shifts from technical complexity to data quality and domain expertise.
> Oh, and customer relationships!
> When everyone can "program" using natural language, your competitive advantage shifts from technical complexity to data quality and domain expertise.
> Oh, and customer relationships!
Controversial multi model strategy, because I don't believe Opus is the solution for everything, despite inference cost decline:
Successful enterprise AI implementation uses different models with intelligent routing.
Successful enterprise AI implementation uses different models with intelligent routing.
July 7, 2025 at 7:14 PM
Controversial multi model strategy, because I don't believe Opus is the solution for everything, despite inference cost decline:
Successful enterprise AI implementation uses different models with intelligent routing.
Successful enterprise AI implementation uses different models with intelligent routing.
RAG 1.0: "Let me search and summarize"
RAG 2.0: "Let me understand and reason"
Advanced RAG with context-aware retrieval doesn't just find documents.
It understands relationships, infers missing information, and builds comprehensive answers.
RAG 2.0: "Let me understand and reason"
Advanced RAG with context-aware retrieval doesn't just find documents.
It understands relationships, infers missing information, and builds comprehensive answers.
July 7, 2025 at 1:46 PM
RAG 1.0: "Let me search and summarize"
RAG 2.0: "Let me understand and reason"
Advanced RAG with context-aware retrieval doesn't just find documents.
It understands relationships, infers missing information, and builds comprehensive answers.
RAG 2.0: "Let me understand and reason"
Advanced RAG with context-aware retrieval doesn't just find documents.
It understands relationships, infers missing information, and builds comprehensive answers.
Oddly satisfying to see my own contribution to AI slop creating value.
Doesn't that Hershey's chocolate box look so much more enticing by a campfire than if it were on the usual white background?
Doesn't that Hershey's chocolate box look so much more enticing by a campfire than if it were on the usual white background?
July 6, 2025 at 5:12 PM
Oddly satisfying to see my own contribution to AI slop creating value.
Doesn't that Hershey's chocolate box look so much more enticing by a campfire than if it were on the usual white background?
Doesn't that Hershey's chocolate box look so much more enticing by a campfire than if it were on the usual white background?
It's like having a really good team that never sleeps or takes vacation days.
July 5, 2025 at 1:19 AM
It's like having a really good team that never sleeps or takes vacation days.
The goal isn't to have the most AI projects, it's to have the most useful and profitable ones. Execution trumps innovation theater every time.
July 4, 2025 at 2:44 PM
The goal isn't to have the most AI projects, it's to have the most useful and profitable ones. Execution trumps innovation theater every time.
88% of AI proofs-of-concept stall before full deployment. That means only 4 out of 33 make it to production. We're burning through budgets on experiments that never see daylight.
July 3, 2025 at 7:17 PM
88% of AI proofs-of-concept stall before full deployment. That means only 4 out of 33 make it to production. We're burning through budgets on experiments that never see daylight.
GenAI rollouts tend to mirror airport design: one secure hub, many gates, constant passenger flow.
June 25, 2025 at 9:57 PM
GenAI rollouts tend to mirror airport design: one secure hub, many gates, constant passenger flow.
Despite the race to adopt and operationalize AI, the companies winning with this technology aren't the ones with the boldest transformation plans, but rather the ones with the most systematic execution.
Revolutionary outcomes come from evolutionary implementation.
Revolutionary outcomes come from evolutionary implementation.
June 25, 2025 at 5:57 PM
Despite the race to adopt and operationalize AI, the companies winning with this technology aren't the ones with the boldest transformation plans, but rather the ones with the most systematic execution.
Revolutionary outcomes come from evolutionary implementation.
Revolutionary outcomes come from evolutionary implementation.
"Businesses that try to fit AI into old workflows will limit its impact. Reimagining workflows will be essential to making the most of AI."
This is great advice only if you already understand what AI can do for your business operations and product development.
This is great advice only if you already understand what AI can do for your business operations and product development.
June 24, 2025 at 11:57 PM
"Businesses that try to fit AI into old workflows will limit its impact. Reimagining workflows will be essential to making the most of AI."
This is great advice only if you already understand what AI can do for your business operations and product development.
This is great advice only if you already understand what AI can do for your business operations and product development.
During my journey deploying AI solutions and leading AI transformation in fortune 50 companies, I've seen more than 40% of AI tools ending up in the graveyard—not because they were bad, but because no one used them.
(personal experience)
(personal experience)
June 23, 2025 at 3:26 PM
During my journey deploying AI solutions and leading AI transformation in fortune 50 companies, I've seen more than 40% of AI tools ending up in the graveyard—not because they were bad, but because no one used them.
(personal experience)
(personal experience)
Successful AI transformation requires more than successful technical implementation.
If your users don’t adopt the solution, it dies.
If your users don’t adopt the solution, it dies.
June 23, 2025 at 12:09 AM
Successful AI transformation requires more than successful technical implementation.
If your users don’t adopt the solution, it dies.
If your users don’t adopt the solution, it dies.
External AI benchmarks are like hiring based on someone else's interview.
I watched a team's "high-scoring" model fail spectacularly because public benchmarks don't test for their specific use cases and business rules.
I watched a team's "high-scoring" model fail spectacularly because public benchmarks don't test for their specific use cases and business rules.
June 21, 2025 at 6:04 PM
External AI benchmarks are like hiring based on someone else's interview.
I watched a team's "high-scoring" model fail spectacularly because public benchmarks don't test for their specific use cases and business rules.
I watched a team's "high-scoring" model fail spectacularly because public benchmarks don't test for their specific use cases and business rules.
Been thinking about Suleyman's prediction: "Brand is going to matter more than ever."
Sounds counterintuitive as AI lets anyone create professional content now. You'd think that would make brands less special.
But maybe when creation gets easy, trust and consistency become the real differentiator
Sounds counterintuitive as AI lets anyone create professional content now. You'd think that would make brands less special.
But maybe when creation gets easy, trust and consistency become the real differentiator
June 20, 2025 at 6:00 PM
Been thinking about Suleyman's prediction: "Brand is going to matter more than ever."
Sounds counterintuitive as AI lets anyone create professional content now. You'd think that would make brands less special.
But maybe when creation gets easy, trust and consistency become the real differentiator
Sounds counterintuitive as AI lets anyone create professional content now. You'd think that would make brands less special.
But maybe when creation gets easy, trust and consistency become the real differentiator
a16z reports rising pain in swapping LLMs due to agentic workflows.
We relied on a prompt-translator layer— 3 swaps, a couple of weeks each.
If you had to change models next week, what would break first?
We relied on a prompt-translator layer— 3 swaps, a couple of weeks each.
If you had to change models next week, what would break first?
June 19, 2025 at 6:01 PM
a16z reports rising pain in swapping LLMs due to agentic workflows.
We relied on a prompt-translator layer— 3 swaps, a couple of weeks each.
If you had to change models next week, what would break first?
We relied on a prompt-translator layer— 3 swaps, a couple of weeks each.
If you had to change models next week, what would break first?
Cheaper models aren’t always cheaper.
And expensive models?
Sometimes they save you more.
Let me explain. 👇
And expensive models?
Sometimes they save you more.
Let me explain. 👇
June 18, 2025 at 6:33 PM
Cheaper models aren’t always cheaper.
And expensive models?
Sometimes they save you more.
Let me explain. 👇
And expensive models?
Sometimes they save you more.
Let me explain. 👇
After 340 slides of “trends,” I came away with one new insight: only 7% of US companies are actually using AI in their core ops.
The hype is everywhere, but real adoption is rare—even as it’s moving faster than internet ever did.
If you want lasting value, skip the buzzwords. Build for the long haul
The hype is everywhere, but real adoption is rare—even as it’s moving faster than internet ever did.
If you want lasting value, skip the buzzwords. Build for the long haul
June 4, 2025 at 4:25 PM
After 340 slides of “trends,” I came away with one new insight: only 7% of US companies are actually using AI in their core ops.
The hype is everywhere, but real adoption is rare—even as it’s moving faster than internet ever did.
If you want lasting value, skip the buzzwords. Build for the long haul
The hype is everywhere, but real adoption is rare—even as it’s moving faster than internet ever did.
If you want lasting value, skip the buzzwords. Build for the long haul