martind
@dekstop.bsky.social
Don't freestyle much but I write 'em like such
Our publisher @plutopress.bsky.social surveyed their authors whether their published work should be licensed to train large language models. 15% responded "Yes", 41% responded "No", 30% responded "Maybe", depending on how the data is used. Full report: www.plutobooks.com/wp-content/u...
September 17, 2025 at 8:48 PM
Our publisher @plutopress.bsky.social surveyed their authors whether their published work should be licensed to train large language models. 15% responded "Yes", 41% responded "No", 30% responded "Maybe", depending on how the data is used. Full report: www.plutobooks.com/wp-content/u...
(Caption: screen recording of a chat session with the prompt: "say the time". The LLM abides: it requests to run the "say" shell command with an inline call to "date". User approves, computer reads out the time using MacOS speech synthesis.)
September 13, 2025 at 9:29 AM
(Caption: screen recording of a chat session with the prompt: "say the time". The LLM abides: it requests to run the "say" shell command with an inline call to "date". User approves, computer reads out the time using MacOS speech synthesis.)
Playing with fire: my local LLMs can now run web searches, read local files, execute Python code, and run shell commands (in LM Studio with local MCP server)
September 12, 2025 at 6:01 PM
Playing with fire: my local LLMs can now run web searches, read local files, execute Python code, and run shell commands (in LM Studio with local MCP server)
For reference, here the original schematic before I asked it for some corrections
July 7, 2025 at 12:32 PM
For reference, here the original schematic before I asked it for some corrections
So happy, ChatGPT helped me design a bipolar power supply, the schematic looks very professional. And so efficient -- who knew that a single line could supply both the positive and negative rail!
July 7, 2025 at 12:23 PM
So happy, ChatGPT helped me design a bipolar power supply, the schematic looks very professional. And so efficient -- who knew that a single line could supply both the positive and negative rail!
![Reddit screenshot: "Mod note: we are banning AI 'Neural Howlround' posters."
Text summary: "in the interest of full transparency, I just wanted to mention that we also (quietly) ban a bunch of schizoposters and AI 'Neural Howlround' posters, under the "spam" rule, since the contents of the posts are often nonsensical and irrelevant to actual AI. [...] TLDR: LLMs today are ego-reinforcing glazing-machines that reinforce unstable and narcissistic personalities to convince them that they've made some sort of incredible discovery or created a god or become a god. And there is a lot more crazy people than people realise. And AI is rizzing them up in a very unhealthy way at the moment."](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:e2xtlgh76mdcucctdq24xjxb/bafkreiea2rbvddkypzwuyilso6v4k3lfwxvtt2qphd7b72walee2rgknci@jpeg)
June 3, 2025 at 10:36 AM
![User: Summarise this conversation in a compact symbolic form that an llm can interpret to recall the full content. Don't bother including human readable text, focus on llm interpretability only
ChatGPT: TASK[CompareOpenLLMvsGPT4];SOURCE[HF/OpenLLMLeaderboard/OfficialOnly];METRICS[IFEval,BBH,MATH,GPQA,MMLUPro];TARGET[GPT-4(2023)];MODELS[Yi-1.5-6B(16.7B),Yi-1.5-34B(Base,32K,Chat,Chat-16K)];ARCH[Dense,LLaMA];TUNING[Base,Chat,RLHF];SIZEBRACKETS[<10B=Fail,10–30B=Mid,30B+=Best];FINDING[NoModelMeetsGPT4,TopModel=Yi-1.5-34B-Chat@BBH60.67%,GPQA13.06%,MMLU39.12%];TREND[Size+RLHF=BetterReasoning,TradeoffsExist];](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:e2xtlgh76mdcucctdq24xjxb/bafkreibamum4j243sv44uvaxyl5ejxbusve3yc5skzlwdjyivbcifxacvy@jpeg)
New mantra #calendarlife #workworkbalance
April 29, 2025 at 7:13 AM
New mantra #calendarlife #workworkbalance
Many good sections, but take particular note of the simple conclusion at the end!
April 22, 2025 at 4:54 PM
Many good sections, but take particular note of the simple conclusion at the end!
Have officially begun the Charlie Brown Christmas season. The instrumental version for now because I'm not a loon
November 5, 2024 at 3:23 PM
Have officially begun the Charlie Brown Christmas season. The instrumental version for now because I'm not a loon
Exceptional discussion in the FT of the mechanics of riots, drawing from decades of social research incl 2011 riots in the UK archive.ph/PONGF
August 9, 2024 at 11:20 AM
Exceptional discussion in the FT of the mechanics of riots, drawing from decades of social research incl 2011 riots in the UK archive.ph/PONGF
My still on Twitter / not quite actually on Twitter conundrum has just resolved itself, my account failed their new mandatory age verification. Finally free!
July 29, 2024 at 2:18 PM
My still on Twitter / not quite actually on Twitter conundrum has just resolved itself, my account failed their new mandatory age verification. Finally free!
Is AI even worth it? @molly.wiki shares her observations so far www.citationneeded.news/ai-isnt-usel...
April 17, 2024 at 4:30 PM
Is AI even worth it? @molly.wiki shares her observations so far www.citationneeded.news/ai-isnt-usel...
An AI UX paradigm -- software that writes itself in response to user input?
April 14, 2024 at 8:28 PM
An AI UX paradigm -- software that writes itself in response to user input?
PS here its initial answer before I added brackets to avoid an apparent confusion about operator precedence. I suppose this one is at least arguable, if maybe a cop-out
April 10, 2024 at 7:44 PM
PS here its initial answer before I added brackets to avoid an apparent confusion about operator precedence. I suppose this one is at least arguable, if maybe a cop-out
Here a recently released state of the art LLM that claims to beat GPT-4. (Once more, the answer is incorrect.)
April 10, 2024 at 7:40 PM
Here a recently released state of the art LLM that claims to beat GPT-4. (Once more, the answer is incorrect.)
Built an AI to help me navigate my vinyl collection 🤖 Now how can I get it to do my dishes
(It's RAG over my Discogs collection plus MusicBrainz metadata. An embeddings lookup plus GPT for filtering/enrichment.)
(It's RAG over my Discogs collection plus MusicBrainz metadata. An embeddings lookup plus GPT for filtering/enrichment.)
April 7, 2024 at 9:28 PM
Built an AI to help me navigate my vinyl collection 🤖 Now how can I get it to do my dishes
(It's RAG over my Discogs collection plus MusicBrainz metadata. An embeddings lookup plus GPT for filtering/enrichment.)
(It's RAG over my Discogs collection plus MusicBrainz metadata. An embeddings lookup plus GPT for filtering/enrichment.)
GPT4 reportedly executes Python to evaluate mathematical expressions, but most LLMs don't (yet). I've found the following expression useful to test if a model can do maths -- none of the results shown here are correct.
April 1, 2024 at 11:16 AM
GPT4 reportedly executes Python to evaluate mathematical expressions, but most LLMs don't (yet). I've found the following expression useful to test if a model can do maths -- none of the results shown here are correct.
TLDR: Current-generation LLM based AI is best thought of as an assistive technology. It can improve the efficiency of an analyst. But it can only enhance human analytical thought, it cannot replace it.*
* ... except maybe in scenarios where the cost of a wrong judgment is tolerably low?
* ... except maybe in scenarios where the cost of a wrong judgment is tolerably low?
March 15, 2024 at 6:58 PM
TLDR: Current-generation LLM based AI is best thought of as an assistive technology. It can improve the efficiency of an analyst. But it can only enhance human analytical thought, it cannot replace it.*
* ... except maybe in scenarios where the cost of a wrong judgment is tolerably low?
* ... except maybe in scenarios where the cost of a wrong judgment is tolerably low?
I also wonder if this might nudge current gen AI closer to the trough of disillusionment of the Gartner hype cycle: towards the disappointing realisation that human involvement and specialist knowledge is still needed to produce meaningful outputs.
March 15, 2024 at 6:52 PM
I also wonder if this might nudge current gen AI closer to the trough of disillusionment of the Gartner hype cycle: towards the disappointing realisation that human involvement and specialist knowledge is still needed to produce meaningful outputs.