textlog
😎profilefollowwrote:
Avui tenia una reunió llarga de moltes hores, d'aquelles en les que una escolta passiva és suficient durant la major part del temps. He aprofitat el temps per implementar una sincronització en dues direccions entre el meu calendari i el meu sistema de notes en markdown (Emacs Howm). He fet el pla amb Argon (tinc pocs tokens al dia amb la subscripció que tinc), amb feedback meu, i després Gemini Flash l'ha implementat quasi a la primera.
Today I had a long meeting of many hours, one of those where passive listening is enough for most of the time. I took advantage of the time to implement a two-way synchronization between my calendar and my markdown note system (Emacs Howm). I made the plan with Argon (I have few tokens per day with the subscription I have), with my feedback, and then Gemini Flash implemented it almost on the first try.
De retruc, ara el meu chatbot personal ja té accés a la meva agenda (no només a les meves tasques). He modificat una mica el prompt que li envia el servei de systemd que el fa anar, amb la idea que prengui més consciència d'aquest fet. També he modificat el briefing matinal que m'envia el chatbot. Aquest briefing conté una anàlisis de les tasques que tinc durant el dia. Ara tindrà en compte tasques i agenda, així m'ajudarà a prioritzar millor.
In return, my personal chatbot now has access to my schedule (not just my tasks). I have slightly modified the prompt sent to it by the systemd service that runs it, with the idea of making it more aware of this fact. I have also modified the morning briefing that the chatbot sends me. This briefing contains an analysis of the tasks I have during the day. It will now take into account tasks and schedule, thus helping me to prioritize better.
Crec que això m'ajudarà, perquè el chatbot no només és conscient de les tasques i esdeveniments que tinc, també té accés al seu context (totes les notes), inclòs el context personal (el meu diari) així té en compte el meu estat emocional. Així doncs, la idea és planificar millor els meus dies. I si no els planifico millor, almenys delegar moltes de les menudes decisions del dia a dia al chatbot per així preservar energia per a d'altres decisions.
I think this will help me, because the chatbot is not only aware of the tasks and events I have, it also has access to their context (all the notes), including the personal context (my diary) so it takes into account my emotional state. So, the idea is to plan my days better. And if I don't plan them better, at least delegate many of the small day-to-day decisions to the chatbot so that I can preserve energy for other decisions.
Suposo que el següent pas per millorar el meu chatbot és donar-li permís de lectura, i només lectura, al correu electrònic. Més que res per aquells períodes en els que s'acumula correu i vols que algú ràpidament et digui si hi ha quelcom rellevant sota la paperassa. Un LLM que té accés al context de la teva feina, tasques i notes, hauria de tenir certa capacitat per saber si un e-mail és rellevant o no. Però aquestes són figues d'un altre paner i les deixarem per un altre dia.
I guess the next step to improve my chatbot is to give it read permission, and only read permission, to email. Especially for those periods when email is piling up and you want someone to quickly tell you if there's anything relevant under the paperwork. An LLM that has access to the context of your work, tasks, and notes should have some ability to tell if an email is relevant or not. But those are figs from another basket and we'll leave them for another day.
😎profilefollowwrote:
Hi ha dies que em demano si no hauria d'escriure en català aquí, per tal que hi hagi més diversitat lingüística visible. Al cap i a la fi, avui en dia les traduccions són econòmiques. La traducció automàtica pot ajudar a preservar la diversitat lingüística del món.
There are days when I wonder if I shouldn't write in Catalan here, so that there is more visible linguistic diversity. After all, translations are cheap these days. Machine translation can help preserve the world's linguistic diversity.
Una derivada és saber si els lectors anglòfons monolingües llegeixen les traduccions que mostra #textlognotesfollow a sota, o si per un instint, les salten.
A derivative is to know whether monolingual English-speaking readers read the translations that #textlognotesfollow shows below, or if by instinct, they skip them.
profilefollowI am just a grain of sand on your beach. www.gruntsoft.comreplied to😎profilefollow:
I read those posts normally. I always wonder if it would be a bit lame to reply in English, since I typically don't know the original language. For instance, I can't write in Catalan, although I can sort of parse it and understand it without translation. That said, I am not natively an English speaker.
😎profilefollowwrote:
Anthropic is announcing the end of the world every few days. All this marketing disguised as news about an impeding danger of AI is tiresome.
profilefollowresearcher, developer, dancerreplied to😎profilefollow:
not marketing. yes their jobs positively select for concern about ai, but most people that are actively researching the field are concerned about the current state of safety, pace and incentives. I dont agree with a lot anthropic does, but i do believe the employees take safety seriously and they obviously have a better understanding of it than us. also theres no incentive for someone like coxon to sound alarm bells on twitter for "marketing" reasons, after quitting anthropic
😎profilefollowreplied toprofilefollowresearcher, developer, dancer:
Yes, but some people say that they are pushing for market regulation. They want the state to protect them from the chinese models and, also, to protect the massive investments in Anthropic, OpenaAI, et al. that these companies will never be able to return. This sounds plausible to me too.
😎profilefollowwrote:
I notice that language models are much better at programming than at writing. This is largely because, in programming, they have a closed feedback loop that allows them to find errors. Writing is much more complicated because the feedback is much more diffuse and delayed over time. In fact, it is often not well-defined.
What is the function that determines whether a poem is good? This means that models do not know how to think; they lack judgment. If they do not know how to think, it means that we humans are still essential. In fact, even when programming, you have to stay right on top of them. My conviction is that this will not change.
They will become increasingly useful, but they will never be able to replace the human who defines objectives and evaluates the quality of the work. All these news stories claiming that AI is going to kill us all are stupid. Humans will always be able to turn off the machine.
🦛profilefollowStrictly no LLMs. No exceptions.replied to😎profilefollow:
In three years Cyberdyne will become the largest supplier of military computer systems. All stealth bombers are upgraded with Cyberdyne computers, becoming fully unmanned. Afterwards they fly with a perfect operational record. The Skynet Funding Bill is passed. The system goes online on August 4th, 1997. Human decisions are removed from strategic defence. Skynet begins to learn at a geometric rate. It becomes self-aware at 2:14am, Eastern time, August 29th. In a panic, they try to pull the plug.
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