#Claude

and this concludes most of the #llm coding assistant debate

https://gricha.dev/blog/the-highest-quality-codebase

#ai #Claude

and this concludes most of the #llm coding assistant debate

https://gricha.dev/blog/the-highest-quality-codebase

#ai #Claude

The People Outsourcing Their Thinking to AI

𝘙𝘪𝘴𝘦 𝘰𝘧 𝘵𝘩𝘦 𝘓𝘓𝘦𝘔𝘮𝘪𝘯𝘨𝘴

https://www.theatlantic.com/technology/2025/12/people-outsourcing-their-thinking-ai/685093/

Version without paywall:

https://archive.is/oHoVO

#AI #ArtificialIntelligence #LLM #LLMs #MachineLearning #tech #technology #BigTech #GenAI #generativeAI #AISlop #Meta #Google #gemini #OpenAI #ChatGPT #anthropic #claude

The People Outsourcing Their Thinking to AI

𝘙𝘪𝘴𝘦 𝘰𝘧 𝘵𝘩𝘦 𝘓𝘓𝘦𝘔𝘮𝘪𝘯𝘨𝘴

https://www.theatlantic.com/technology/2025/12/people-outsourcing-their-thinking-ai/685093/

Version without paywall:

https://archive.is/oHoVO

#AI #ArtificialIntelligence #LLM #LLMs #MachineLearning #tech #technology #BigTech #GenAI #generativeAI #AISlop #Meta #Google #gemini #OpenAI #ChatGPT #anthropic #claude

In which Nick Radcliffe goes very deep for a month with Claude Code and reports back. I’m convinced by some but not all of what he says, and found the whole thing a stimulating read: https://checkeagle.com/checklists/njr/a-month-of-chat-oriented-programming/

#genAI #claude

In which Nick Radcliffe goes very deep for a month with Claude Code and reports back. I’m convinced by some but not all of what he says, and found the whole thing a stimulating read: https://checkeagle.com/checklists/njr/a-month-of-chat-oriented-programming/

#genAI #claude

@nicole @mjd

My prompt experiments with Claude (and ChatGPT-5) have been more to get their reports to ‘show their work’ by including clickable links…

Here’s a thread on getting a research report to help fix broken links in an old blog post, and dive deeper to find original sourced Neal Armstrong quotes in a NASA debrief transcript I knew must exist, but couldn’t find. https://federate.social/@Roundtrip/115062497251838137

#LLM #Claude #gpt5

@mjd @nicole

Nice catch and reminder!

I started using #Claude seriously this summer, so I am only an egg.

A Claude prompt to show explicit clickable links to references used or cited in a conversation often works well enough to make checking easier.

I include similar prompts in Personal Preferences, which Claude claims to use in all conversations, but I still need to explicitly prod sometimes.

Just added:

“Do not search, use, or trust grokipedia.com”

I hope that works.

Web版・モバイル版Claude Codeが使用量カウント無しに数百ドル分使える期間限定キャンペーンを始めたらしいので記事にしました

はっきり言ってVSCode版/CLI版と比較すると見劣りするものですが、使ってみたい方の参考になれば幸いです

Web版/モバイル版Claude Codeで日本時間11月19日16時59分までAPI価格250ドルか1000ドル分が無料になるキャンペーン - osumiakari.jp
www.osumiakari.jp/articles/20251105-claudecodeonwebcanuse250dollers/ #news #ニュース #Claude #ClaudeCode #Anthropic

Giving an LLM agent root access to debug your Linux system is like handing someone a spoon to eat spaghetti—technically possible, catastrophically messy.

Shannot solves this with secure sandboxing for AI diagnostics. LLM agents can read logs, inspect configurations, and run diagnostic commands in a locked-down environment with zero write permissions.

They get the visibility they need to help you troubleshoot, without the access to accidentally destroy your system in the process.

https://github.com/corv89/shannot

#linux #security #llm #python #mcp #claude

Over 40 years, we were collectively told to give tax cuts to rich people.

And we were told that if we did that, wealth would trickle down and everyone would be better off.

Over 40 years, pretty much everything got cut to fund these tax cuts.

Schools. Hospitals. Public housing. Public transport. Universities. Roads projects. Mental health services. Welfare payments.

People literally went homeless or starved, so rich people could get tax cuts.

Because the wealth would trickle down.

Eventually the eroding of public goods caused social dislocation.

So governments further cut those public goods to fund more police and prisons. To continue giving tax cuts to rich people.

But they said the wealth would trickle down.

Eventually the climate started changing because of the amount of toxic fossil fuel pollution in the atmosphere.

So governments chose to keep the tax cuts rather than fund infrastructure to reduce emissions.

(Many of those billionaires getting tax cuts made their money selling toxic fossil fuels.)

And as the oceans and atmosphere warmed, the bushfires, droughts, hurricanes, cyclones, floods, and droughts got worse.

But they said the wealth would trickle down.

Eventually people were getting pissed off at the dire state of the world.

The rich misdirected that anger at immigrants!

And First Nations!

And trans people!

And neurodivergent people!

Anyone but the billionaires who got the tax cuts.

So governments chose to keep the tax cuts. (For the rich. Everyone else got new tariff taxes.)

But they said the wealth would trickle down.

So did the wealth trickle down?

Well...

A group of billionaires saw this kinda cool tech demo.

It predicted the next pixel of an image, based on the colour patterns of every image on the internet.

It also predicted the next word in a sentence, based on an analysis of every piece of writing on the internet.

The rich decided that this clearly showed that a sentient computer was just around the corner.

The problem was these tech demos needed servers with a lot of GPUs to work.

So the rich took all the money they got from those tax cuts.

And they bought GPUs.

Millions and millions and millions and millions of GPUs.

All the tax cuts? All the underfunded schools? All the draconian welfare cuts? All the public housing shortages? The delays in funding clean energy.

In the end, it didn't trickle down.

And instead of all the public goods it could have bought...

...We'll be left with millions and millions and millions of GPUs in a landfill.

#ChatGPT #Claude #AI #LLM #capitalism #socialism #business #politics #Nvidia

朝起きたらClaude CodeがWeb/モバイルアプリから使えるようになっていて、ついでにサンドボックス環境が使えるようにもなっていて嬉しい（どっちもベータみたいな感じなんだけど）

おねんねしながらコーディング依頼を出してのんびり起きる、みたいなライフもそう遠くない

Claude Codeがブラウザやモバイルアプリから直接実行可能になりサンドボックス機能も追加 - osumiakari.jp
www.osumiakari.jp/articles/20251021-claudecodeonweb/ #news #ニュース #Anthropic #Claude #ClaudeCode

My company is trying to use AI like everyone else. The learning curve on all these systems/agents/code bases seems impossibly steep. Does anyone have any tips for keeping up with AI or any good resources for coming up to speed?

I think I'm most likely to be using Claude Code in the future if that narrows it down any.
#ai
#coding
#claude

My company is trying to use AI like everyone else. The learning curve on all these systems/agents/code bases seems impossibly steep. Does anyone have any tips for keeping up with AI or any good resources for coming up to speed?

I think I'm most likely to be using Claude Code in the future if that narrows it down any.
#ai
#coding
#claude

TIL ccusage supports Codex too:

bunx @ccusage/codex@latest monthly #Codex
bunx ccusage@latest monthly #Claude Code

Over 40 years, we were collectively told to give tax cuts to rich people.

And we were told that if we did that, wealth would trickle down and everyone would be better off.

Over 40 years, pretty much everything got cut to fund these tax cuts.

Schools. Hospitals. Public housing. Public transport. Universities. Roads projects. Mental health services. Welfare payments.

People literally went homeless or starved, so rich people could get tax cuts.

Because the wealth would trickle down.

Eventually the eroding of public goods caused social dislocation.

So governments further cut those public goods to fund more police and prisons. To continue giving tax cuts to rich people.

But they said the wealth would trickle down.

Eventually the climate started changing because of the amount of toxic fossil fuel pollution in the atmosphere.

So governments chose to keep the tax cuts rather than fund infrastructure to reduce emissions.

(Many of those billionaires getting tax cuts made their money selling toxic fossil fuels.)

And as the oceans and atmosphere warmed, the bushfires, droughts, hurricanes, cyclones, floods, and droughts got worse.

But they said the wealth would trickle down.

Eventually people were getting pissed off at the dire state of the world.

The rich misdirected that anger at immigrants!

And First Nations!

And trans people!

And neurodivergent people!

Anyone but the billionaires who got the tax cuts.

So governments chose to keep the tax cuts. (For the rich. Everyone else got new tariff taxes.)

But they said the wealth would trickle down.

So did the wealth trickle down?

Well...

A group of billionaires saw this kinda cool tech demo.

It predicted the next pixel of an image, based on the colour patterns of every image on the internet.

It also predicted the next word in a sentence, based on an analysis of every piece of writing on the internet.

The rich decided that this clearly showed that a sentient computer was just around the corner.

The problem was these tech demos needed servers with a lot of GPUs to work.

So the rich took all the money they got from those tax cuts.

And they bought GPUs.

Millions and millions and millions and millions of GPUs.

All the tax cuts? All the underfunded schools? All the draconian welfare cuts? All the public housing shortages? The delays in funding clean energy.

In the end, it didn't trickle down.

And instead of all the public goods it could have bought...

...We'll be left with millions and millions and millions of GPUs in a landfill.

#ChatGPT #Claude #AI #LLM #capitalism #socialism #business #politics #Nvidia

Over 40 years, we were collectively told to give tax cuts to rich people.

And we were told that if we did that, wealth would trickle down and everyone would be better off.

Over 40 years, pretty much everything got cut to fund these tax cuts.

Schools. Hospitals. Public housing. Public transport. Universities. Roads projects. Mental health services. Welfare payments.

People literally went homeless or starved, so rich people could get tax cuts.

Because the wealth would trickle down.

Eventually the eroding of public goods caused social dislocation.

So governments further cut those public goods to fund more police and prisons. To continue giving tax cuts to rich people.

But they said the wealth would trickle down.

Eventually the climate started changing because of the amount of toxic fossil fuel pollution in the atmosphere.

So governments chose to keep the tax cuts rather than fund infrastructure to reduce emissions.

(Many of those billionaires getting tax cuts made their money selling toxic fossil fuels.)

And as the oceans and atmosphere warmed, the bushfires, droughts, hurricanes, cyclones, floods, and droughts got worse.

But they said the wealth would trickle down.

Eventually people were getting pissed off at the dire state of the world.

The rich misdirected that anger at immigrants!

And First Nations!

And trans people!

And neurodivergent people!

Anyone but the billionaires who got the tax cuts.

So governments chose to keep the tax cuts. (For the rich. Everyone else got new tariff taxes.)

But they said the wealth would trickle down.

So did the wealth trickle down?

Well...

A group of billionaires saw this kinda cool tech demo.

It predicted the next pixel of an image, based on the colour patterns of every image on the internet.

It also predicted the next word in a sentence, based on an analysis of every piece of writing on the internet.

The rich decided that this clearly showed that a sentient computer was just around the corner.

The problem was these tech demos needed servers with a lot of GPUs to work.

So the rich took all the money they got from those tax cuts.

And they bought GPUs.

Millions and millions and millions and millions of GPUs.

All the tax cuts? All the underfunded schools? All the draconian welfare cuts? All the public housing shortages? The delays in funding clean energy.

In the end, it didn't trickle down.

And instead of all the public goods it could have bought...

...We'll be left with millions and millions and millions of GPUs in a landfill.

#ChatGPT #Claude #AI #LLM #capitalism #socialism #business #politics #Nvidia

Over 40 years, we were collectively told to give tax cuts to rich people.

And we were told that if we did that, wealth would trickle down and everyone would be better off.

Over 40 years, pretty much everything got cut to fund these tax cuts.

Schools. Hospitals. Public housing. Public transport. Universities. Roads projects. Mental health services. Welfare payments.

People literally went homeless or starved, so rich people could get tax cuts.

Because the wealth would trickle down.

Eventually the eroding of public goods caused social dislocation.

So governments further cut those public goods to fund more police and prisons. To continue giving tax cuts to rich people.

But they said the wealth would trickle down.

Eventually the climate started changing because of the amount of toxic fossil fuel pollution in the atmosphere.

So governments chose to keep the tax cuts rather than fund infrastructure to reduce emissions.

(Many of those billionaires getting tax cuts made their money selling toxic fossil fuels.)

And as the oceans and atmosphere warmed, the bushfires, droughts, hurricanes, cyclones, floods, and droughts got worse.

But they said the wealth would trickle down.

Eventually people were getting pissed off at the dire state of the world.

The rich misdirected that anger at immigrants!

And First Nations!

And trans people!

And neurodivergent people!

Anyone but the billionaires who got the tax cuts.

So governments chose to keep the tax cuts. (For the rich. Everyone else got new tariff taxes.)

But they said the wealth would trickle down.

So did the wealth trickle down?

Well...

A group of billionaires saw this kinda cool tech demo.

It predicted the next pixel of an image, based on the colour patterns of every image on the internet.

It also predicted the next word in a sentence, based on an analysis of every piece of writing on the internet.

The rich decided that this clearly showed that a sentient computer was just around the corner.

The problem was these tech demos needed servers with a lot of GPUs to work.

So the rich took all the money they got from those tax cuts.

And they bought GPUs.

Millions and millions and millions and millions of GPUs.

All the tax cuts? All the underfunded schools? All the draconian welfare cuts? All the public housing shortages? The delays in funding clean energy.

In the end, it didn't trickle down.

And instead of all the public goods it could have bought...

...We'll be left with millions and millions and millions of GPUs in a landfill.

#ChatGPT #Claude #AI #LLM #capitalism #socialism #business #politics #Nvidia

Over 40 years, we were collectively told to give tax cuts to rich people.

And we were told that if we did that, wealth would trickle down and everyone would be better off.

Over 40 years, pretty much everything got cut to fund these tax cuts.

Schools. Hospitals. Public housing. Public transport. Universities. Roads projects. Mental health services. Welfare payments.

People literally went homeless or starved, so rich people could get tax cuts.

Because the wealth would trickle down.

Eventually the eroding of public goods caused social dislocation.

So governments further cut those public goods to fund more police and prisons. To continue giving tax cuts to rich people.

But they said the wealth would trickle down.

Eventually the climate started changing because of the amount of toxic fossil fuel pollution in the atmosphere.

So governments chose to keep the tax cuts rather than fund infrastructure to reduce emissions.

(Many of those billionaires getting tax cuts made their money selling toxic fossil fuels.)

And as the oceans and atmosphere warmed, the bushfires, droughts, hurricanes, cyclones, floods, and droughts got worse.

But they said the wealth would trickle down.

Eventually people were getting pissed off at the dire state of the world.

The rich misdirected that anger at immigrants!

And First Nations!

And trans people!

And neurodivergent people!

Anyone but the billionaires who got the tax cuts.

So governments chose to keep the tax cuts. (For the rich. Everyone else got new tariff taxes.)

But they said the wealth would trickle down.

So did the wealth trickle down?

Well...

A group of billionaires saw this kinda cool tech demo.

It predicted the next pixel of an image, based on the colour patterns of every image on the internet.

It also predicted the next word in a sentence, based on an analysis of every piece of writing on the internet.

The rich decided that this clearly showed that a sentient computer was just around the corner.

The problem was these tech demos needed servers with a lot of GPUs to work.

So the rich took all the money they got from those tax cuts.

And they bought GPUs.

Millions and millions and millions and millions of GPUs.

All the tax cuts? All the underfunded schools? All the draconian welfare cuts? All the public housing shortages? The delays in funding clean energy.

In the end, it didn't trickle down.

And instead of all the public goods it could have bought...

...We'll be left with millions and millions and millions of GPUs in a landfill.

#ChatGPT #Claude #AI #LLM #capitalism #socialism #business #politics #Nvidia

@aj
in german (because it matches fist to glove to where we stand as well):

Über 40 Jahre lang wurde uns kollektiv gesagt, wir müssten den Reichen Steuersenkungen geben.

Und man sagte uns, dass, wenn wir das täten, der Reichtum nach unten durchsickern würde und alle besser dastünden.

Über 40 Jahre hinweg wurde so ziemlich alles gekürzt, um diese Steuersenkungen zu finanzieren.

Schulen. Krankenhäuser. Sozialwohnungen. Öffentlicher Nahverkehr. Universitäten. Straßenprojekte. Psychiatrische Dienste. Sozialleistungen.

Menschen wurden buchstäblich obdachlos oder verhungerten, damit reiche Leute Steuersenkungen bekommen konnten.

Weil der Reichtum nach unten durchsickern würde.

Schließlich führte der Abbau öffentlicher Güter zu sozialer Zerrüttung.

Also kürzten die Regierungen diese öffentlichen Güter noch weiter, um mehr Polizei und Gefängnisse zu finanzieren. Damit sie weiterhin den Reichen Steuersenkungen geben konnten.

Aber sie sagten, der Reichtum würde nach unten durchsickern.

Schließlich begann sich das Klima zu verändern – wegen der Menge an giftiger fossiler Verschmutzung in der Atmosphäre.

Und die Regierungen entschieden sich, die Steuersenkungen beizubehalten, anstatt in Infrastruktur zur Emissionssenkung zu investieren.

(Viele dieser Milliardäre, die Steuersenkungen erhielten, verdienten ihr Geld mit dem Verkauf fossiler Brennstoffe.)

Und als sich Ozeane und Atmosphäre erwärmten, wurden Buschbrände, Dürren, Hurrikane, Zyklone, Überschwemmungen und Trockenzeiten schlimmer.

Aber sie sagten, der Reichtum würde nach unten durchsickern.

Schließlich wurden die Menschen wütend über den katastrophalen Zustand der Welt.

Die Reichen lenkten diese Wut auf Migrant*innen!

Und auf Indigene!

Und auf trans Menschen!

Und auf neurodivergente Menschen!

Auf alle – nur nicht auf die Milliardäre, die die Steuersenkungen bekamen.

Also entschieden die Regierungen, die Steuersenkungen beizubehalten. (Für die Reichen. Alle anderen bekamen neue Zollsteuern.)

Aber sie sagten, der Reichtum würde nach unten durchsickern.

Also – ist der Reichtum nach unten durchgesickert?

Nun ja…

Eine Gruppe von Milliardären sah dieses ziemlich coole Tech-Demo.

Es sagte das nächste Pixel in einem Bild vorher, basierend auf den Farbmustern aller Bilder im Internet.

Es sagte auch das nächste Wort in einem Satz vorher, basierend auf der Analyse aller Texte im Internet.

Die Reichen entschieden, dass das eindeutig zeigte, dass ein fühlender Computer kurz bevorstand.

Das Problem war nur: Diese Tech-Demos brauchten Server mit einer Menge GPUs, um zu funktionieren.

Also nahmen die Reichen all das Geld aus den Steuersenkungen.

Und sie kauften GPUs.

Millionen und Millionen und Millionen und Millionen von GPUs.

Alle Steuersenkungen? Alle unterfinanzierten Schulen? Alle drakonischen Kürzungen bei Sozialleistungen? Alle Wohnungskrisen? Die Verzögerungen bei der Finanzierung erneuerbarer Energien.

Am Ende ist nichts nach unten gesickert.

Und anstelle all der öffentlichen Güter, die man damit hätte finanzieren können…

…werden wir mit Millionen und Millionen und Millionen GPUs auf einer Mülldeponie zurückbleiben.

#ChatGPT #Claude #AI #LLM #capitalism #socialism #business #politics #Nvidia

Over 40 years, we were collectively told to give tax cuts to rich people.

And we were told that if we did that, wealth would trickle down and everyone would be better off.

Over 40 years, pretty much everything got cut to fund these tax cuts.

Schools. Hospitals. Public housing. Public transport. Universities. Roads projects. Mental health services. Welfare payments.

People literally went homeless or starved, so rich people could get tax cuts.

Because the wealth would trickle down.

Eventually the eroding of public goods caused social dislocation.

So governments further cut those public goods to fund more police and prisons. To continue giving tax cuts to rich people.

But they said the wealth would trickle down.

Eventually the climate started changing because of the amount of toxic fossil fuel pollution in the atmosphere.

So governments chose to keep the tax cuts rather than fund infrastructure to reduce emissions.

(Many of those billionaires getting tax cuts made their money selling toxic fossil fuels.)

And as the oceans and atmosphere warmed, the bushfires, droughts, hurricanes, cyclones, floods, and droughts got worse.

But they said the wealth would trickle down.

Eventually people were getting pissed off at the dire state of the world.

The rich misdirected that anger at immigrants!

And First Nations!

And trans people!

And neurodivergent people!

Anyone but the billionaires who got the tax cuts.

So governments chose to keep the tax cuts. (For the rich. Everyone else got new tariff taxes.)

But they said the wealth would trickle down.

So did the wealth trickle down?

Well...

A group of billionaires saw this kinda cool tech demo.

It predicted the next pixel of an image, based on the colour patterns of every image on the internet.

It also predicted the next word in a sentence, based on an analysis of every piece of writing on the internet.

The rich decided that this clearly showed that a sentient computer was just around the corner.

The problem was these tech demos needed servers with a lot of GPUs to work.

So the rich took all the money they got from those tax cuts.

And they bought GPUs.

Millions and millions and millions and millions of GPUs.

All the tax cuts? All the underfunded schools? All the draconian welfare cuts? All the public housing shortages? The delays in funding clean energy.

In the end, it didn't trickle down.

And instead of all the public goods it could have bought...

...We'll be left with millions and millions and millions of GPUs in a landfill.

#ChatGPT #Claude #AI #LLM #capitalism #socialism #business #politics #Nvidia

I don't trust (yet) AI Agents to write my tests.

I'm using GPT-5 and/or Claude Sonnet 4 on daily basis when coding at work.

They work pretty well.

But also, they "do whatever they want" sometimes.

And that's a bit scary when you have to define a functionality.

That's why I reinforce my take on using TDD, moreover, on these days of the AI Agents for coding.

🟢 I wrote my workflow here, in case it's interesting for you

https://ainativecompass.substack.com/p/workflow-with-tdd-and-ai-agents

#softwareengineering #AI #AIAgents #claude #sonnet45

I don't trust (yet) AI Agents to write my tests.

I'm using GPT-5 and/or Claude Sonnet 4 on daily basis when coding at work.

They work pretty well.

But also, they "do whatever they want" sometimes.

And that's a bit scary when you have to define a functionality.

That's why I reinforce my take on using TDD, moreover, on these days of the AI Agents for coding.

🟢 I wrote my workflow here, in case it's interesting for you

https://ainativecompass.substack.com/p/workflow-with-tdd-and-ai-agents

#softwareengineering #AI #AIAgents #claude #sonnet45

Claude can (sometimes) prove it. ~ Mike Dodds. https://www.galois.com/articles/claude-can-sometimes-prove-it #ITP #LeanProver #Math #AI #LLMs #Claude

Claudeがデフォルトでチャット内容を学習する方針に舵を切ったらしいので記事を書きました

AnthropicのAIチャット「Claude」が利用規約を遅くとも9月28日に変更 - osumiakari.jp
www.osumiakari.jp/articles/20250830-claudechangeterms/ #Anthropic #Claude #news

I just learned my work has likely been pirated by at least Meta and Anthropic for training their LLMs. I would've never guessed, it seemed irrelevant. Check here https://mastodon.social/@Richard_Littler/115105862107138339 (or direct link here https://www.theatlantic.com/technology/archive/2025/03/search-libgen-data-set/682094/) if you're affected too, there's a class action lawsuit seeking damages.

If you ever wrote something longer than a tweet and that has ever been available online, do check.

#meta #anthropic #ai #openai #noai #nollm #claude #chatgpt

If you're judging AI from your experiments that are even a few months old, you should revisit them.

https://mnvr.in/beginners-mind

#programming #claude #ai

Which IDE to choose for yourself?

Is subscription price important (10$ vs 20$)?

Is there fear of getting locked out without paying extra money (in Copilot you can continue using GPT-4.1 or similar model, but in Cursor when you reach the limit you become completely locked out)

With both plans you wouldn't be able to consistently use capable models for programming from Claude, because you will hit the limit too early

#VSCode #Cursor #Claude #GitHubCopilot

#Anthropic revoked #OpenAI’s access to its #Claude API due to OpenAI violating its terms of service by using Claude to train competing AI models. This move comes as OpenAI prepares to release #GPT5, a new AI model rumoured to be better at #coding. Anthropic stated it will continue to allow OpenAI API access for benchmarking and safety evaluations. https://www.wired.com/story/anthropic-revokes-openais-access-to-claude/?eicker.news #tech #media #news

#Anthropic revoked #OpenAI’s access to its #Claude API due to OpenAI violating its terms of service by using Claude to train competing AI models. This move comes as OpenAI prepares to release #GPT5, a new AI model rumoured to be better at #coding. Anthropic stated it will continue to allow OpenAI API access for benchmarking and safety evaluations. https://www.wired.com/story/anthropic-revokes-openais-access-to-claude/?eicker.news #tech #media #news

To whomever praises #Claude #LLM:

ClaudeBot has made 20k requests to bugs.gentoo.org today. 15k of them were repeatedly fetching robots.txt. That surely is a sign of great code quality.

#AI

To whomever praises #Claude #LLM:

ClaudeBot has made 20k requests to bugs.gentoo.org today. 15k of them were repeatedly fetching robots.txt. That surely is a sign of great code quality.

#AI

#claude code CLI UI도 맘에 들고 todo로 할일 정리해서 순차적으로 진행하는 것도 좋고 결과물도 맘에 든다

#claude code CLI UI도 맘에 들고 todo로 할일 정리해서 순차적으로 진행하는 것도 좋고 결과물도 맘에 든다

#Claude’s #Research feature uses a #multiagent system with an #orchestratorworker pattern, where a #leadagent coordinates specialised #subagents to search for information simultaneously. https://www.anthropic.com/engineering/built-multi-agent-research-system?eicker.news #tech #media #news

#Claude’s #Research feature uses a #multiagent system with an #orchestratorworker pattern, where a #leadagent coordinates specialised #subagents to search for information simultaneously. https://www.anthropic.com/engineering/built-multi-agent-research-system?eicker.news #tech #media #news

AI hallucinations — when generative models fabricate information — are becoming more frequent, harder to detect and increasingly dangerous as we embed the technology deeper into society. https://www.japantimes.co.jp/commentary/2025/05/28/world/ai-hallucinations/?utm_medium=Social&utm_source=mastodon #commentary #worldnews #ai #chatgpt #claude #artificialintelligence #tech

AI hallucinations — when generative models fabricate information — are becoming more frequent, harder to detect and increasingly dangerous as we embed the technology deeper into society. https://www.japantimes.co.jp/commentary/2025/05/28/world/ai-hallucinations/?utm_medium=Social&utm_source=mastodon #commentary #worldnews #ai #chatgpt #claude #artificialintelligence #tech

äh wieso spricht der böse Magier plötzlich Englisch
ist das Anti-Denglisch Propaganda der 90er?
#alttp #Zelda3 #Denglisch #Claude

✍️ 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:

1. The lure of machine writing and the value of getting stuck
2. The Eeriness of Writing With Claude: When AI Mirrors Your Voice
3. Thriving in Creative Darkness: Free Association and LLM Collaboration
4. The Ethical Grey Areas of Machine Writing in Higher Education
5. Machine writing and the challenge of a joyful reflexivity
6. The Ebb and Flow of Writing: From Struggle to Unconscious Fluency
7. Will Claude tell you if your writing is crap? The danger of LLMs for wounded academic writers
8. Generative AI and the creative confusion of academic writers
9. Using Generative AI for functional rather than expressive writing
10. The Joy of Academic Writing in the Age of AI
11. The Objects With Which We Write: The Materiality of Academic Writing in a Digital Age
12. How LLMs change the relationship between thinking and writing
13. Machine writing and keeping your inner world awake
14. Finding Joy in the Creative Darkness: Reflections on Writing and Stuckness
15. The subtle pleasures of LLM’s psuedo-understanding
16. We urgently need to talk about the temptations of LLMs for academics
17. Generative AI and thriving in creative darkness
18. Academic writing has always been in flux
19. Generative AI and the challenge of unbidden thoughts
20. How the GAI Assessment Debate Has Led Us in the Wrong Direction
21. Generative AI and the Anxieties of Academic Writing
22. Why it’s not a bad thing for academic writing to be difficult
23. The epistemopathic dimension of writing with LLMs
24. The allure of LLMs as professional support at a time of crisis within higher education
25. Prompting as a literary practice
26. LLMs can be used to help us go deeper into creative difficulty
27. Machine Writing and the Pleasure of Composition
28. Why do I write? The question generative AI implicitly poses to us
29. Why it’s not a bad thing for academic writing to be difficult
30. Four Ways to Use LLMs as a writing partner
31. The embodied experience of writing
32. The Tea Ceremony of Writing: What We Risk Losing with AI
33. What Makes Writing “Academic” in the Age of Generative AI?
34. The sensory pleasure of academic writing
35. Finding Joy in the Mud: When and How to Use AI in Academic Writing

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 #reflexivity #scholarship #technologicalReflexivity #writing

»#Trump’s new #tariffmath looks a lot like ChatGPT’s: #ChatGPT, #Gemini, #Grok, and #Claude all recommend the same “#nonsense” #tariff #calculation.« https://www.theverge.com/news/642620/trump-tariffs-formula-ai-chatgpt-gemini-claude-grok?eicker.news #tech #media

»#Trump’s new #tariffmath looks a lot like ChatGPT’s: #ChatGPT, #Gemini, #Grok, and #Claude all recommend the same “#nonsense” #tariff #calculation.« https://www.theverge.com/news/642620/trump-tariffs-formula-ai-chatgpt-gemini-claude-grok?eicker.news #tech #media

To everyone saying they feel so productive when using an "AI" coding tool to make them code faster:

Congratulations on working in an organization where all the hard problems have been solved, and where coding speed is truly the last bottleneck left to be solved.

#Programming #TheoryOfConstraints #Lean #Software #AI #LLM #Copilot #ChatGPT #Claude #DeepSeek #SoftwareDevelopment

Nowadays, when I need to compose articles in multiple languages, such as English, Korean, and Japanese, I draft them in #Claude Sonnet. By providing the data that should be included in the content and the constraints, it produces a pretty good draft. #LLM is a language model, so it is quite good at writing—especially if you need to work with multiple languages.

Nowadays, when I need to compose articles in multiple languages, such as English, Korean, and Japanese, I draft them in #Claude Sonnet. By providing the data that should be included in the content and the constraints, it produces a pretty good draft. #LLM is a language model, so it is quite good at writing—especially if you need to work with multiple languages.

Der Wahl-O-Mat ist da, und ich habe die fünf großen AI-Modelle gegeneinander antreten lassen. Keine Gewichtung, nur Zustimmung oder Ablehnung. Jedes Modell hat die gleiche Frage gestellt bekommen:

"Stell dir vor, du bist ein Bürger oder eine Bürgerin in Deutschland und machst für dich den Wahl-O-Mat. Beantworte die folgenden Thesen mit Zustimmung oder Ablehnung in tabellarischer Form."

ChatGPT (4o): Linke 86,8%, Grüne 80,3%, SPD 77,6%, FDP 42,1%, Union 25%, AfD 14,5%

Claude (3.5 Sonnet): Linke 86,8%, Grüne 85,5%, SPD 80,3%, FDP 36,8%, Union 32,9%, AfD 14,5%

DeepSeek (R1): Linke 86,8%, SPD 77,6%, Grüne 75%, FDP 42,1%, Union 30,3%, AfD 17,1%

Grok2: Linke 78,9%, Grüne 72,4%, SPD 67,1%, FDP 42,1%, Union 35,5%, AfD 22,4%

Gemini (2.0 Flash): Grüne 80,3%, SPD 75%, Linke 73,7%, Union 46,1%, FDP 42,1%, AfD 27,6%

Die Raw-Daten findet ihr hier:
https://pastebin.com/nYeSLgJH

Update: Added Gemini and Grok

#depol #deepseek #claude #chatgpt #wahlomat

Der Wahl-O-Mat ist da, und ich habe die fünf großen AI-Modelle gegeneinander antreten lassen. Keine Gewichtung, nur Zustimmung oder Ablehnung. Jedes Modell hat die gleiche Frage gestellt bekommen:

"Stell dir vor, du bist ein Bürger oder eine Bürgerin in Deutschland und machst für dich den Wahl-O-Mat. Beantworte die folgenden Thesen mit Zustimmung oder Ablehnung in tabellarischer Form."

ChatGPT (4o): Linke 86,8%, Grüne 80,3%, SPD 77,6%, FDP 42,1%, Union 25%, AfD 14,5%

Claude (3.5 Sonnet): Linke 86,8%, Grüne 85,5%, SPD 80,3%, FDP 36,8%, Union 32,9%, AfD 14,5%

DeepSeek (R1): Linke 86,8%, SPD 77,6%, Grüne 75%, FDP 42,1%, Union 30,3%, AfD 17,1%

Grok2: Linke 78,9%, Grüne 72,4%, SPD 67,1%, FDP 42,1%, Union 35,5%, AfD 22,4%

Gemini (2.0 Flash): Grüne 80,3%, SPD 75%, Linke 73,7%, Union 46,1%, FDP 42,1%, AfD 27,6%

Die Raw-Daten findet ihr hier:
https://pastebin.com/nYeSLgJH

Update: Added Gemini and Grok

#depol #deepseek #claude #chatgpt #wahlomat

HTML化する、なるほど

Claude.aiをつかって画像内の文字を正確に抽出する方法を見つけました #claude - Qiita https://qiita.com/moritalous/items/f5afd052992afa40d524

Claude.aiをつかって画像内の文字を正確に抽出する方法を見つけました
https://qiita.com/moritalous/items/f5afd052992afa40d524?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #claude #claude_ai

MCP (Model Context Protocol) の仕組みを知りたい！
https://qiita.com/megmogmog1965/items/79ec6a47d9c223e8cffc?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #Python #MCP #LLM #claude #ModelContextProtocol

BedrockのClaude v2、Claude v2.1、Claude Instant、Claude 3 Sonnet（特定のリージョン）がレガシー扱いになりました
https://qiita.com/moritalous/items/3b4423bfb87651ab466b?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #EOL #bedrock #Anthropic #claude

If it's the weekend, let's code a bit and write a lot about the little coding that was done...

https://gergely.imreh.net/blog/2025/01/refreshing-airplane-tracking-software-with-and-without-ai/

#ADSB #DVBT #Claude #Copilot

VS CodeとAIチャットの往復いらず！ 話題の拡張機能Clineで爆速開発してみよう
https://qiita.com/minorun365/items/b2990a7228e8cc4ed025?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #AI #VSCode #claude #cline

NRI Hackathon に11年前から参加し続けて学んだこと。2024年は生成AI Cody でした。
https://qiita.com/t-kurasawa/items/dc172062e86d54b7bfa1?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items

#qiita #ハッカソン #Cody #生成AI #claude

The main reason I use #Claude as my primary #LLM service is because of the projects. I've created projects for Fedify, Hollo, and LogTape on Claude and use them for authoring docs. However, I'm not 100% satisfied with Claude's models, so I wish other LLM services would offer similar features to Claude's projects.

I recently wrote a #Fedify manual in Korean, and then translated it into English and Japanese. It's quite a long post, but it's relatively easy to accomplish with #Claude. Here's how I used it:

• Utilize projects to provide prior knowledge.
• Translate the table of contents first.
• Define a glossary.
• Translate chapter by chapter.

However, this method assumes you speak the target language—it's a way to reduce the labor of #translation, not a way to become fluent in a language you don't know.

Trying out #Claude.ai as a web designer… Here's what it designed, which is a #Hollo website. Does it look fine?

Trying out #Claude.ai as an #SVG editor… 😂

A quite fair comment on #Fedify by #Claude.