Anita
@anitalacea.com
No-hype AI adoption and implementation - because I built it from the ground up, at enterprise scale.
Thoughts on Kimi K2?
Latest open source model out of China
Latest open source model out of China
July 15, 2025 at 2:39 AM
Thoughts on Kimi K2?
Latest open source model out of China
Latest open source model out of China
Imagine waking up to find a video of "you" saying things you never said, doing things you never did. Your mom is calling, your boss is confused, your life is chaos. It's not a nightmare. It's real life.
July 11, 2025 at 4:48 PM
Imagine waking up to find a video of "you" saying things you never said, doing things you never did. Your mom is calling, your boss is confused, your life is chaos. It's not a nightmare. It's real life.
The entrepreneur explosion: Every domain expert becomes a potential software company.
A pediatrician with a better patient tracking idea doesn't need a co-founder anymore, just natural language and AI execution.
We're about to see the largest wave of single-founder companies in history.
A pediatrician with a better patient tracking idea doesn't need a co-founder anymore, just natural language and AI execution.
We're about to see the largest wave of single-founder companies in history.
July 11, 2025 at 1:17 AM
The entrepreneur explosion: Every domain expert becomes a potential software company.
A pediatrician with a better patient tracking idea doesn't need a co-founder anymore, just natural language and AI execution.
We're about to see the largest wave of single-founder companies in history.
A pediatrician with a better patient tracking idea doesn't need a co-founder anymore, just natural language and AI execution.
We're about to see the largest wave of single-founder companies in history.
Talk about bias designed-in.
If you ask the new Grok (via grok.com without any custom instructions) for opinions on controversial topics it runs a search on X to see what Elon thinks
I know this sounds like a joke but it's not. This genuinely happens: x.com/jeremyphowar...
I know this sounds like a joke but it's not. This genuinely happens: x.com/jeremyphowar...
July 10, 2025 at 10:55 PM
Talk about bias designed-in.
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.
Visual interfaces remain crucial in Software 3.0 because they leverage human visual processing for faster generation-verification loops.
Pure text interaction isn't optimal for complex AI collaboration.
I'd add voice/audio interaction, too.
Pure text interaction isn't optimal for complex AI collaboration.
I'd add voice/audio interaction, too.
July 10, 2025 at 1:33 PM
Visual interfaces remain crucial in Software 3.0 because they leverage human visual processing for faster generation-verification loops.
Pure text interaction isn't optimal for complex AI collaboration.
I'd add voice/audio interaction, too.
Pure text interaction isn't optimal for complex AI collaboration.
I'd add voice/audio interaction, too.
Personal experience:
> Application-specific interfaces determine AI adoption success.
> One-size-fits-all doesn't work for human-AI collaboration that drives impact.
> Custom interfaces designed for specific workflows achieve dramatically higher productivity than generic chat interfaces.
> Application-specific interfaces determine AI adoption success.
> One-size-fits-all doesn't work for human-AI collaboration that drives impact.
> Custom interfaces designed for specific workflows achieve dramatically higher productivity than generic chat interfaces.
July 10, 2025 at 12:44 AM
Personal experience:
> Application-specific interfaces determine AI adoption success.
> One-size-fits-all doesn't work for human-AI collaboration that drives impact.
> Custom interfaces designed for specific workflows achieve dramatically higher productivity than generic chat interfaces.
> Application-specific interfaces determine AI adoption success.
> One-size-fits-all doesn't work for human-AI collaboration that drives impact.
> Custom interfaces designed for specific workflows achieve dramatically higher productivity than generic chat interfaces.
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.
Your traditional software moats are disappearing faster than you think.
When anyone can "program" with natural language, complex codebases and technical expertise lose their defensive power.
New moats:
>> unique data
>> domain knowledge
>> superior human-AI collaboration
>> customer relationships
When anyone can "program" with natural language, complex codebases and technical expertise lose their defensive power.
New moats:
>> unique data
>> domain knowledge
>> superior human-AI collaboration
>> customer relationships
July 9, 2025 at 1:02 AM
Your traditional software moats are disappearing faster than you think.
When anyone can "program" with natural language, complex codebases and technical expertise lose their defensive power.
New moats:
>> unique data
>> domain knowledge
>> superior human-AI collaboration
>> customer relationships
When anyone can "program" with natural language, complex codebases and technical expertise lose their defensive power.
New moats:
>> unique data
>> domain knowledge
>> superior human-AI collaboration
>> customer relationships
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 workforce reality check: Everyone becomes a programmer because everyone speaks English.
But here's my take: as coding gets easier, DevOps remains complex.
The real challenge shifts from writing software to deploying and maintaining it.
But here's my take: as coding gets easier, DevOps remains complex.
The real challenge shifts from writing software to deploying and maintaining it.
July 8, 2025 at 3:59 PM
Karpathy's workforce reality check: Everyone becomes a programmer because everyone speaks English.
But here's my take: as coding gets easier, DevOps remains complex.
The real challenge shifts from writing software to deploying and maintaining it.
But here's my take: as coding gets easier, DevOps remains complex.
The real challenge shifts from writing software to deploying and maintaining it.
> 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!
The ultimate transformation: We're not entering the age of AI replacing humans, we're entering the age of humans who don't use AI being replaced by humans who do.
Software 3.0 doesn't eliminate jobs.
It eliminates the excuse for not building solutions to every problem you see.
Software 3.0 doesn't eliminate jobs.
It eliminates the excuse for not building solutions to every problem you see.
July 8, 2025 at 1:00 AM
The ultimate transformation: We're not entering the age of AI replacing humans, we're entering the age of humans who don't use AI being replaced by humans who do.
Software 3.0 doesn't eliminate jobs.
It eliminates the excuse for not building solutions to every problem you see.
Software 3.0 doesn't eliminate jobs.
It eliminates the excuse for not building solutions to every problem you see.
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.
Context engineering enables AI that knows not just WHAT you're asking, but WHO is asking.
> Role-specific knowledge
> Historical interactions
> Organizational context
> Personal work patterns
It will almost feel like your AI assistant gained intuition.
> Role-specific knowledge
> Historical interactions
> Organizational context
> Personal work patterns
It will almost feel like your AI assistant gained intuition.
July 7, 2025 at 4:16 PM
Context engineering enables AI that knows not just WHAT you're asking, but WHO is asking.
> Role-specific knowledge
> Historical interactions
> Organizational context
> Personal work patterns
It will almost feel like your AI assistant gained intuition.
> Role-specific knowledge
> Historical interactions
> Organizational context
> Personal work patterns
It will almost feel like your AI assistant gained intuition.
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.
Thought experiment: If everyone can program and AI handles execution, what becomes scarce?
> Not labor.
> Not technical skills.
> But taste, judgment, and the ability to identify valuable problems.
> Not labor.
> Not technical skills.
> But taste, judgment, and the ability to identify valuable problems.
July 6, 2025 at 11:47 PM
Thought experiment: If everyone can program and AI handles execution, what becomes scarce?
> Not labor.
> Not technical skills.
> But taste, judgment, and the ability to identify valuable problems.
> Not labor.
> Not technical skills.
> But taste, judgment, and the ability to identify valuable problems.
Software is changing again, and the transformation is already underway.
Organizations mastering human-AI collaboration through partial autonomy applications will achieve sustainable competitive advantage.
The question isn't whether to adapt: it's whether you'll lead or follow.
Organizations mastering human-AI collaboration through partial autonomy applications will achieve sustainable competitive advantage.
The question isn't whether to adapt: it's whether you'll lead or follow.
July 6, 2025 at 9:34 PM
Software is changing again, and the transformation is already underway.
Organizations mastering human-AI collaboration through partial autonomy applications will achieve sustainable competitive advantage.
The question isn't whether to adapt: it's whether you'll lead or follow.
Organizations mastering human-AI collaboration through partial autonomy applications will achieve sustainable competitive advantage.
The question isn't whether to adapt: it's whether you'll lead or follow.
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?
We're "thin clients" to centralized AI compute today.
Karpathy's economic insight: We're in the 1960s era of LLM computing expensive, centralized, cloud-dependent.
The personal computing revolution for AI hasn't happened yet, but it's coming.
Karpathy's economic insight: We're in the 1960s era of LLM computing expensive, centralized, cloud-dependent.
The personal computing revolution for AI hasn't happened yet, but it's coming.
July 6, 2025 at 2:47 PM
We're "thin clients" to centralized AI compute today.
Karpathy's economic insight: We're in the 1960s era of LLM computing expensive, centralized, cloud-dependent.
The personal computing revolution for AI hasn't happened yet, but it's coming.
Karpathy's economic insight: We're in the 1960s era of LLM computing expensive, centralized, cloud-dependent.
The personal computing revolution for AI hasn't happened yet, but it's coming.
> The best automation doesn't replace people, it handles the stuff people hate doing.
> Customer onboarding paperwork, pricing calculations, scheduling conflicts.
> Let AI do the boring work so humans can do the interesting work.
> Customer onboarding paperwork, pricing calculations, scheduling conflicts.
> Let AI do the boring work so humans can do the interesting work.
July 6, 2025 at 1:15 AM
> The best automation doesn't replace people, it handles the stuff people hate doing.
> Customer onboarding paperwork, pricing calculations, scheduling conflicts.
> Let AI do the boring work so humans can do the interesting work.
> Customer onboarding paperwork, pricing calculations, scheduling conflicts.
> Let AI do the boring work so humans can do the interesting work.
"Didn't we already solve this last month?"
AI with proper memory systems remembers:
> that client's weird requirements,
> the workaround that actually worked,
> and why you made that decision.
No more starting from scratch every time.
AI with proper memory systems remembers:
> that client's weird requirements,
> the workaround that actually worked,
> and why you made that decision.
No more starting from scratch every time.
July 5, 2025 at 7:45 PM
"Didn't we already solve this last month?"
AI with proper memory systems remembers:
> that client's weird requirements,
> the workaround that actually worked,
> and why you made that decision.
No more starting from scratch every time.
AI with proper memory systems remembers:
> that client's weird requirements,
> the workaround that actually worked,
> and why you made that decision.
No more starting from scratch every time.