Pinned Tweet
Working on some pull-ups. Getting older, but still have some gas left in the tank! #pullups
AI Dev retweeted
I challenged Ken Paxton to a debate 85 days ago, but no one has heard from him.
People are getting worried.
I’ve received credible reports he's suffering from a rare condition that causes clinical levels of cowardice.
@KenPaxtonTX: I am asking for proof of ability to debate.
AI Dev retweeted
Teaching @Alibaba_Qwen 3.5 4B a new domain through @UnslothAI based CPT and SFT training. teachmecoolstuff.com/viewart…
Teaching @Alibaba_Qwen 3.5 4B a new domain through @UnslothAI based CPT and SFT training. teachmecoolstuff.com/viewart…
Creating evals to test a local model’s ability to internalize knowledge from @UnslothAI based CPT and SFT training teachmecoolstuff.com/viewart…
Using @UnslothAI to train a model on a new domain using CPT in combination with RAG. teachmecoolstuff.com/viewart…
Comparing performance and accuracy impact of training an llm vs. doing RAG teachmecoolstuff.com/viewart…
Training an llm to learn and reason about a new domain. teachmecoolstuff.com/viewart…
Agents can struggle to remember things independently, but if you "jog their memory", some very useful past solutions can emerge seamlessly. Agent-human-teamwork! @OpenAI
AI Dev retweeted
The Norwegian team and fans doing the Row are just beautiful.
This media is unavailable
AI Dev retweeted
ELITE row celebration from Norway after clinching the Round of 32 🇳🇴
Martin Ødegaard led the squad on the drum
AI Dev retweeted
Fine Tuning a Local LLM to Categorize Questions. Read more here: teachmecoolstuff.com/viewart…
After taking a long break from blogging, it's fun to see some of my recent content gaining traction on HackerNews: news.ycombinator.com/item?id…
One of my recent side projects was building a personal chatbot that can answer questions about my household. As part of that, I experimented with fine-tuning a local LLM to categorize incoming questions to provide better RAG query results
teachmecoolstuff.com/viewart…
What is the most sensible tool chain if you are starting a React application today? #react #frontend #javascript
AI Dev retweeted
There will be no AI jobpocalypse.
The story that AI will lead to massive unemployment is stoking unnecessary fear. AI — like any other technology — does affect jobs, but telling overblown stories of large-scale unemployment is irresponsible and damaging. Let’s put a stop to it.
I’ve expressed skepticism about the jobpocalypse in previous posts. I’m glad to see that the popular press is now pushing back on this narrative. The image below features some recent headlines.
Software engineering is the sector most affected by AI tools, as coding agents race ahead. Yet hiring of software engineers remains strong! So while there are examples of AI taking away jobs, the trends strongly suggest the net job creation is vastly greater than the job destruction — just like earlier waves of technology. Further, despite all the exciting progress in AI, the U.S. unemployment rate remains a healthy 4.3%.
Why is the AI jobpocalypse narrative so popular? For one thing, frontier AI labs have a strong incentive to tell stories that make AI technology sound more powerful. At their most extreme, they promote science-fiction scenarios of AI “taking over” and causing human extinction. If a technology can replace many employees, surely that technology must be very valuable!
Also, a lot of SaaS software companies charge around $100-$1000 per user/year. But if an AI company can replace an employee who makes $100,000 — or make them 50% more productive — then charging even $10,000 starts to look reasonable. By anchoring not to typical SaaS prices but to salaries of employees, AI companies can charge a lot more.
Additionally, businesses have a strong incentive to talk about layoffs as if they were caused by AI. After all, talking about how they’re using AI to be far more productive with fewer staff makes them look smart. This is a better message than admitting they overhired during the pandemic when capital was abundant due to low interest rates and a massive government financial stimulus.
To be clear, I recognize that AI is causing a lot of people’s work to change. This is hard. This is stressful. (And to some, it can be fun.) I empathize with everyone affected. At the same time, this is very different from predicting a collapse of the job market.
Societies are capable of telling themselves stories for years that have little basis in reality and lead to poor society-wide decision making. For example, fears over nuclear plant safety led to under-investment in nuclear power. Fears of the “population bomb” in the 1960s led countries to implement harsh policies to reduce their populations. And worries about dietary fat led governments to promote unhealthy high-sugar diets for decades.
Now that mainstream media is openly skeptical about the jobpocalypse, I hope these stories will start to lose their teeth (much like fears of AI-driven human extinction have).
Contrary to the predictions of an AI jobpocalypse, I predict the opposite: There will be an AI jobapalooza! AI will lead to a lot more good AI engineering jobs, and I’m also optimistic about the future of the overall job market. What AI engineers do will be different from traditional software engineering, and many of these jobs will be in businesses other than traditional large employers of developers. In non-AI roles, too, the skills needed will change because of AI. That makes this a good time to encourage more people to become proficient in AI, and make sure they’re ready for the different but plentiful jobs of the future!
[Original text in The Batch newsletter.]










