Waiting to hear about the first case of a self-replicating AI rogue agent.
I don't wish it to happen, but it is inevitable.
The stuff it can do will be straight out of sci-fi books. I am excited for the chaos 😂
I am ultra suspicious about all these posts praising Codex 5.2 after what they did to Codex 5.1. Unless there's a 2-week free trial period, I am not subscribing again.
OpenAI's models actually might be very capable, but the people and the policy behind the packaging are sus.
100%, probably no more than a very generous 1000 companies in the whole world actually need Kubernetes to scale.
Nomad should suffice most use cases - https://t.co/89xwWFLhQg
@Zai_org your subscribe buttons are not working:
page-f8c83fb87df499c3.js:1 Uncaught TypeError: Cannot read properties of undefined (reading 'toString')
It is technically possible to put backdoors in open-weight LLMs, and there's almost no way to know about its existence.
If you think hard enough, it'll become obvious how easily this can be accomplished. Good chance, we hear about it being exploited sometime in future.
Maybe AI engineering, but definitely not ML. Having to call this out because most people club AI and ML together but they are completely different domains.
So what's the difference?
Think of AI engineering as the interface between applications and the "things" that come out of ML engineering. ML engineering is self-existing, AI engineering exists because of ML engineering.
I have been a hardcore JS, TS, and Node.js developer for a very long time. Now I am a full-time Python developer as well - rocking the latest free-threading 3.15 and uv.
There is a good chance TS may actually become the most used language for AI engineering, but when it comes to ML, nothing will beat Python for a long long time.
Sure there are ML libraries and utilities written in JS/TS as well, but compared to the depth, width, and the performance of PyTorch, numpy, sklearn, pandas, etc., those are mere toys - and no doubt, a great creativity and programing exercise for the authors.
If you embark on your ML journey with JS/TS, eventually you will hit a road block (like I did). This time is better spent in learning Python and getting to know its ML packages.
Python is not slow anymore (the last version I used was 2.7, it wasn't that great), has great typing support (Pydantic), is now free from GIL (3.14 onwards), and is easy to manage (uv, think of it as the nvm of Python).
Use Python for ML, for AI engineering - whatever makes you happy. Right tool, for the right job.
Got rickrolled by AI - for the second time.
If you ask any coding agent to create a YouTube player, there is a very high chance, the example video will be Rick Astley's "Never Gonna Give You Up".
Not sure if it is trolling or there is a disproportionate amount of YouTube player examples using the "Never Gonna Give You Up" video, which made it into the training data.
Building @martialbot, which is currently a combat-sports analytics AI, but will eventually step out into the real world, fight-capable and ready.
Humanoid robots are going to be a new breed of operating systems, and pluggable domain-specific AI modules, its software. When you install MartialBot, your humanoid will "know Kung Fu" on the next reboot.
APPLE DEVELOPER NOOB MISTAKE
Selecting this and building something with Personal Team. Apple will register the bundle id on behalf of Personal Team, but does not provide any interface or means to manage them for this user. The bundle id is now hijacked - by yourself - hijacked nonetheless.
If you are building as a company, always use the Company team.
Looking for an alternative to Postman or Insomnia?
Hoppscotch Client is free, open-source, simple, intuitive and elegant.
Postman and Insomnia are cool, have great features, but I prefer not to allocate subconscious mental resources to tolerate or battle bad UI/UX.
GitHub: https://t.co/cih5hej6L8
Download: https://t.co/2lyhNm4Ik7
Online App: https://t.co/y46QD3PWB3