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#claude

42 posts41 participants7 posts today
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🤖 AI
🔴 OpenAI Launches GPT-4.1 Coding Models

🔸 New GPT-4.1, mini & nano models made for software engineering.
🔸 1M token window, optimized for frontend tasks & structured outputs.
🔸 Mini/nano: faster & cheaper but less accurate.
🔸 Still behind Google & Anthropic in SWE-bench scores.

#GPT41#OpenAI#AI
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Habr

Заметки из окопа: Практика «выращивания кода» с помощью LLM

Дискуссии об ИИ и больших языковых моделях (LLM) в разработке часто скатываются в бинарные споры: «замена», «выживание», «деградация». LLM — не против нас, а с нами. Не угроза, а помощь в рутине. Не замена, а инструмент. При умелом использовании ИИ освобождает от рутины и ускоряет реализацию, но не отменяет глубокое понимание предметной области. Без навыка писать код и ясности, что и зачем ты делаешь — ИИ бесполезен. Важнее понять, как LLM усиливают нас, трансформируют работу и рождают новые практики. Копнуть глубже

habr.com/ru/articles/901036/

ХабрЗаметки из окопа: Практика «выращивания кода» с помощью LLMДискуссии об ИИ и больших языковых моделях (LLM) в разработке часто скатываются в бинарные споры: «замена», «выживание», «деградация». LLM — не против нас, а с нами....
#ии#искусственный_интеллект#llm
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Habr

[Перевод] Нейросети: обучение или деградация?

«Не отупею ли я от нейросетей, если перестану думать и буду всё спрашивать у Claude?» Наверное, каждый здесь хоть раз задавал себе этот вопрос. Есть такой червячок сомнения, правда? Нейросети — очень мощная штука. Кто-то утверждает, что беседа с нейросетью — лучше психологов и лучше приема антидепрессантов. Но вот посудите сами, стал бы ты пить таблетку аспирина, будучи первым человеком на планете, который ее попробовал? О нет. Только если еще 200 человек попробуют таблетку и не бросят кони. С нейросетями нет никаких медицинских испытаний. Действительно ли ты хочешь испытывать всё это на себе? Гораздо лучше испытывать всё на студентах. На студентах — точно можно. Студенты — это другое. Примерно так подумали в компании Anthropic и собрали одно из самых масштабных исследований о влиянии нейросетей на человека и на процесс его обучения. Чтобы студенты быстрее согласились на бесчеловечные эксперименты, им создали все условия — открыли бесплатный доступ к Claude (той самой, что стоит 2000 рублей в месяц), заставили профессоров мириться с использованием нейронок в процессе обучения и так далее. Под катом — результаты этого исследования. Обратите внимание на то, какую часть своей ментальной деятельности студенты переложили на искусственный интеллект, и задумайтесь — как изменится мир, когда так будут делать вообще все . Изумительно! Читать далее

habr.com/ru/companies/bar/arti

ХабрНейросети: обучение или деградация?«Не отупею ли я от нейросетей, если перестану думать и буду всё спрашивать у Claude?» Наверное, каждый здесь хоть раз задавал себе этот вопрос. Есть такой червячок сомнения, правда? Нейросети — очень...
#ai#нейросети#обучение
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Mark Carrigan

✍️ How to enjoy writing in spite of the lure of generative AI

Over the last year I’ve been working on a book How to Enjoy Writing exploring the implications of generative AI for academic writing. I felt I had something important to say about the personal reflexivity involved in working with large language models, but in recent months I’ve realised that I lost interest in the project. Given the book was about cultivating care for our writing, as opposed to rushing through it with the assistance of LLMs, I’ve decided to break it up into blog posts which I’ll share here:

This is Claude’s summary of the core argument which unites these posts into a coherent project. One of the reasons I lost my enthusiasm for the project was the manner in which its capacity to imitate my style, sometimes doing it when I hadn’t asked, disrupted the psychology of my enthusiasm for what I was doing:

The core argument of the book is that generative AI forces academics to confront fundamental questions about why we write and what writing means to us beyond mere productivity. While machine writing offers tempting solutions to the difficulties inherent in academic writing, these difficulties are actually integral to the creative process and intellectual development. If we embrace AI tools primarily as efficiency mechanisms to produce more outputs more quickly, we risk losing the joy and meaning that make writing worthwhile in the first place. Instead, we should approach AI as a conversational partner that enhances our thinking rather than replacing it, staying with the productive "trouble" of writing rather than seeking to escape it. This reflexive approach to writing technology allows us to resist the instrumental acceleration of academic life while still benefiting from AI's creative potential.

However I’ve used Claude to support the editing of these blog posts based on the 80% complete draft of the book, simply because I wouldn’t get round to it otherwise. It has copy edited extracts, condensed them at points, chosen some titles and generally polished the text. There’s a few bridging sentences it provided but nothing more than this. I’m glad it’s given this project a public life because I feel like I was saying something valuable here. But I wasn’t willing to produce a second book on generative AI in two years, as it felt like I was stuck in a performative contradiction which was increasingly uncomfortable.

Instead my plan is to focus on doing my best intellectual work by focusing, for the first time in my career really, on one thing at a time. I’ll still be blogging in the meantime as the notepad for my ideas, but I’d like to take a more careful and nuanced approach to academic writing going forward. I’m not sure if it will work but it’s a direct outcome of the arguments I developed in this book. It was only when I really confronted the rapid increase in the quantity of my (potential) output that I was able to commit myself in a much deeper way to the quality of what I wanted to write in future.

https://www.youtube.com/watch?v=6IytEOXamsk

And this is how we rise - by taking a fall
Survive another winter on straight to the thaw
One day you'll learn to strain the tea through your teeth
And maybe find the strength to proceed to the peak
You press on into the thin again and cannot breathe
Swallow so much of my damn pride that it chokes me
The real risk is not a slipped grip at the edge of the peak
The real danger is just to linger at the base of the thing

This is a follow up to the 23 part series I did last summer on How To Enjoy Writing. In fact it emerged directly from “I have something to say here” to “I should write another book”, which is exactly the transition I’m now questioning in myself 🤔

  1. Be rigorous about capturing your fringe thoughts
  2. Placing limits on your writing practice
  3. Being realistic about how long you can spend writing
  4. Embracing creative non-linearity
  5. Keep trying to say what you’re trying to say
  6. Procrastination is your friend, not your enemy
  7. Knowing when (and why) to stop writing
  8. Initial reflections from my AI collaborator
  9. Identifying and valuing your encounters with ideas
  10. A poetic interlude from Claude
  11. Cultivating an ecology of ideas
  12. Claude’s ecology of ideas self-assessment tool
  13. Only ideas won by walking have any value
  14. Using generative AI as an interlocutor
  15. Word acrobatics performed with both harness and net
  16. Don’t impose a shape on things too quickly
  17. Creative confidence means accepting the tensions in how you think
  18. Understand where the ideas which influence you come from
  19. Not everything you write has to become something
  20. Being a writer means being good at AI
  21. Make your peace with the fact you don’t have creative freedom
  22. Confront the creepiness of LLMs head on
  23. Be clear about why you are writing
#academicWriting#claude#LLMs
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