544 karma · joined July 16, 2010
Maybe it is also just fun...
Every redesign introduces new (secret) watermarks, patterns that are hard to copy, so it's also a "tech" update. Eventually more and more of the details become public. By now the current banknotes are too well known and I guess the counterfeits are getting too close.
Had to request access on huggingface, which was still not answered after a day.
Given all the Inkling and Kimi announcements, this atm just feels like too little too late to be taken seriously.
That said, it’s their first release and I hope they do catch up fast.
Fun fact: research shows it’s probably not better or worse than before, just more rigorously reported through a new digital system since couple years (before that people needed to send paper slip notes to their employers and insurance, which some just wouldn’t do so the data was incomplete).
On the other hand, they explained that they want to go back to the rules like they were before Covid. Effectively, this means that sick leave notes can be fixed contractually between employers and employees and a lot of companies and contracts have more flexible rules as also most HR departments don’t feel like dealing with the bureaucracy.
Honest question. I’s < .5% market share and retired since 2023.
Now honest question: How is all of that Daily Reset and Laundry stuff going to work if you have stairs and multiple floors?
...the influx of contributions authored or submitted by AI is sapping the projects' maintainers of their willingness to confront the "already tedious" work of reviewing pull requests....
Don't get me wrong, slop is slop, no matter if AI or entirely human-fabricated. But just like AI-assisted coding can actually be helpful, why can't AI-assisted PR reviews make it less tedious?
- vibesurfer (https://github.com/frane/vibesurfer): a web browser for agents, without Chromium and CDP.
- agented (https://github.com/frane/agented): a “text editor” for agents, with undo, state, and LSP support.
- grpvn (https://github.com/frane/grpvn): a local chat for your local agent and LLMs.
It’s a tool and the good old sh* in sh* out principle applies.
People might take Mitchell’s comment as some kind of anti-AI stance, but it’s not he uses it regularly and makes a point in the X comments: “use AI, but think”
That comment sums it up best, because right now it’s hard to talk to either side, which separates at the comma.
It feels like an arms race on who’s gonna become the Microsoft of the 90s, trying to own and provide everything.
I think it will play out in the same way
BUT there’s just things that nobody should be doing ever, like give it access to your production system or bank account.
From a European perspective (innovation, sovereignty) this is concerning.
Just feels like they are a bit late to the CLI coding agent party. So why not get in with a bang and open up to a broader audience?
All other agents have a lower barrier to try and play around.
Curious too about open sourcing. But they seem to be doing -p mode and ACP right already. Anthropic is opening a lot of opportunities for competitors right now
OpenAI was dreaming of some billions from this partnership that didn’t happen.
Assuming there is a contract with rights, obligations and responsibilities both parties signed, I can’t imagine a company like Apple exposing itself by not honoring their part.
So sue for what? “We dreamt of more and it didn’t happen”?
Would have been curious to compare against the other competitors
It’s also irritating that “this is LLM” is used as some kind of killer argument like everything an LLM produces is generally bad. It’s not that black and white.
[ Disclaimer: I do use agents/LLMs a lot, but also still like to do, think and write for myself. ]
However there was a feeling that “the job” is radically changing right now.
There was recently an article shared around here that an LLM diagnosed ER patients more accurately than doctors.
Looking beyond LLMs image analysis to detect cancer and other diseases.
Like in coding, AI can and should be a useful tool for the human who decides and is ultimately responsible.
We’re past plausible text since GPT-2 and it’s undeniable that the technology is making waves right now and is having an impact.
As you can’t judge the impact of the Industrial Revolution by the first steam engines, you can’t dismiss the impact the technology is having right now.
Somehow I have a feeling that the reaction would have been totally different if it would have been the EECS graduates.
Fear and rejection in certain professions is real and maybe even understandable.
I imagine 25 years ago someone telling music graduates “streaming is the future of music distribution” would have received the same reaction.
It’s based on semantic primitives (Wierzbicka NSM) and emoji (the fun idea that got me interested in this in the first place).
So far I’ve tested 6 iterations and it trains and responds well with a 10k vocab, but the grammar came out rougher. Working on 8th iteration, mainly to improve the grammar and language. Turns out the smaller vocab couldn’t be maintained and all improvements get us back in the ballpark of the 32k vocab size. Further testing is still outstanding for this week.