@PericlesPapado1 Συγνώμη αλλά ο λόγος που φύγαμε πολλοί έξω δεν ήταν ο μισθός. Είχαμε μισθούς, περιουσία, κτλ
Η Ελλάδα απλά δεν αντεχεται άλλο. Το κράτος, οι πόλεις, οι πολίτες, οι πολιτικοί, σχεδόν όλα είναι υπό το μηδέν.
Λίγο καθαρό αέρα ψάχνουμε και ποιότητα ζωής. Τα λεφτά δεν είναι το παν
People talk, listen, watch, think, and collaborate at the same time, in real time. We've designed an AI that works with people the same way.
We share our approach, early results, and a quick look at our model in action.
https://t.co/AFJZ5kH7Ku
Today, we’re open-sourcing the draft specification for DESIGN.md, so it can be used across any tool or platform. We’re also adding new capabilities.
DESIGN.md lets you easily export and import your design rules from project to project. Instead of guessing intent, agents know exactly what a color is for and can even validate their choices against WCAG accessibility rules.
Watch David East break down this shared visual language in action👇. New capabilities and links in 🧵
@LefterisTar@elliemayxn Σε βαλίτσα dewalt (κλειστή με tie wrap από το εργοστάσιο - απαράδεκτο) άνοιξαν πήραν 2 μπαταρίες των 130 ευρώ και έκλεισαν με διαφορετικό χρώμα tie wrap (σε σχέση με άλλες βαλίτσες). Δίκιο δεν βρήκα. Φαντάζομαι κάποιος αποθηκάριος πουλάει σε scoop/αγγελιες σαν τρελός.
Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: https://t.co/CDSQ8HpZoc
I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code, then:
- the human iterates on the prompt (.md)
- the AI agent iterates on the training code (.py)
The goal is to engineer your agents to make the fastest research progress indefinitely and without any of your own involvement. In the image, every dot is a complete LLM training run that lasts exactly 5 minutes. The agent works in an autonomous loop on a git feature branch and accumulates git commits to the training script as it finds better settings (of lower validation loss by the end) of the neural network architecture, the optimizer, all the hyperparameters, etc. You can imagine comparing the research progress of different prompts, different agents, etc.
https://t.co/YCvOwwjOzF
Part code, part sci-fi, and a pinch of psychosis :)
If you are a software engineer "experiencing some degree of mental health crisis", now hear this, because I've been coding for 50 years since the days of punched cards and I have a salutary kick in your ass to deliver.
Get over yourself. Every previous "programming is obsolete" panic has been a bust, and this one's going to be too.
The fundamental problem of mismatch between the intentions in human minds and the specifications that a computer can interpret hasn't gone away just because now you can do a lot of your programming in natural language to an LLM.
Systems are still complicated. This shit is still difficult. The need for people who specialize in bridging that gap isn't going to go away.
As usual, the answer is: upskill yourself and adapt. If a crusty old fart like me can do it, you can too.
macOS 26 is probably the worst update to date. Internet is cut off until you switch off and on firewall, stuff keep crashing, apps are unresponsive all the time. Not sure what happened here .
@GreekAnalyst Ο μόνος οικονομικός λόγος είναι να ανέβουν και άλλο τα ενοίκια και με τη σειρά τους να ανέβουν τα έσοδα του κράτους από τους φόρους τους.
From an eng manager at a full remote company:
"We just fired an engineer after ~15 days on the job who lacked basics skills on the job but aced the interview - clearly, using cheat tools.
He admitted to how he did it: he used iAsk, ChatGPT and Interview Coder throughout"