#large-language-models — Public Fediverse posts

Morgen im #DigitalHumanities Kolloquium zu aktuellen Forschungsthemen 2026:

Prof. Dr. Evelyn Gius @EvelynGius @forTEXT @TU: „Benchmarking Ambiguity oder: Kartenspielen mit LLMs“

📍 Donnerstag, 02.07.2026, 17:45–19:15 Uhr, HS XVIII, Hauptgebäude @UniKoeln

Alle Interessierten sind herzlich willkommen! Es ist keine Anmeldung nötig.

@IDH_Cologne @prometheus_bildarchiv

#KünstlicheIntelligenz #ArtificialIntelligence #KI #AI #Sprachmodelle #LLMs #LargeLanguageModels #Kartenspiel #CardGame #Dixit

Morgen im #DigitalHumanities Kolloquium zu aktuellen Forschungsthemen 2026:

Prof. Dr. Evelyn Gius @EvelynGius @forTEXT @TU: „Benchmarking Ambiguity oder: Kartenspielen mit LLMs“

📍 Donnerstag, 02.07.2026, 17:45–19:15 Uhr, HS XVIII, Hauptgebäude @UniKoeln

Alle Interessierten sind herzlich willkommen! Es ist keine Anmeldung nötig.

@IDH_Cologne @prometheus_bildarchiv

#KünstlicheIntelligenz #ArtificialIntelligence #KI #AI #Sprachmodelle #LLMs #LargeLanguageModels #Kartenspiel #CardGame #Dixit

“ #Largelanguagemodels are not #reasoning machines. They’re #plausibilityengines. It’s not just that they don’t test their outputs to make sure they’re correct or logical, or that they fail to do so in certain instances. They can’t … ” www.nytimes.com/2026/06/30/o...

Opinion | The One Very Simple ...

So there is value in oral examination (literally oral).

At Stanford University:
«Some classes have started reintroducing proctoring - the supervision of candidates during an examination - and spoken-word tests to avoid cheating, [Lucy Zimmerman, a computer science major who served as a teaching assistant] said.»

This is, of course, a detail of a much bigger picture.

BBC article:
Stanford was their golden ticket - could AI help or hinder that?
<https://www.bbc.com/news/articles/c872j82j2qyo>

#AI
#ArtificialIntelligence
#Education
#LargeLanguageModels
#LLM
#LLMs
#UniversityEducation

So there is value in oral examination (literally oral).

At Stanford University:
«Some classes have started reintroducing proctoring - the supervision of candidates during an examination - and spoken-word tests to avoid cheating, [Lucy Zimmerman, a computer science major who served as a teaching assistant] said.»

This is, of course, a detail of a much bigger picture.

BBC article:
Stanford was their golden ticket - could AI help or hinder that?
<https://www.bbc.com/news/articles/c872j82j2qyo>

#AI
#ArtificialIntelligence
#Education
#LargeLanguageModels
#LLM
#LLMs
#UniversityEducation

Are You in The Weights?

Yesterday I found out about a site called intheweights.com , which reveals which people are “stored” in the weights of large language models. Those “weights” are billions of numerical values by which these AI models encode their knowledge. If you show up in them, the model considered you relevant enough during training to recall without tools such as web search.

The site queries several models to figure out who a specific person is, combines the results, and assigns a strength score.  According to the leaderboard, the current maximum strength score is 998, awarded too a person called Charlize Theron (of whom I have never heard); number Two is Rudyard Kipling, apparently. I’m surprised the top isn’t Taylor Swift. I guess these weights change with time too.

Being a vain person I typed in my name and found this:

The only reason I can think of that I score so highly is all that scraping of this blog site over the last year or so. The weights are obviously influenced by how much material there is available online by or about the person.

Anyway, give it a try. Are you In The Weights?

P.S. A number of other “Peter Coles” characters are also listed under my entry, some of them as far as I can see totally fictitious.

Are You in The Weights?

Yesterday I found out about a site called intheweights.com , which reveals which people are “stored” in the weights of large language models. Those “weights” are billions of numerical values by which these AI models encode their knowledge. If you show up in them, the model considered you relevant enough during training to recall without tools such as web search.

The site queries several models to figure out who a specific person is, combines the results, and assigns a strength score.  According to the leaderboard, the current maximum strength score is 998, awarded too a person called Charlize Theron (of whom I have never heard); number Two is Rudyard Kipling, apparently. I’m surprised the top isn’t Taylor Swift. I guess these weights change with time too.

Being a vain person I typed in my name and found this:

The only reason I can think of that I score so highly is all that scraping of this blog site over the last year or so. The weights are obviously influenced by how much material there is available online by or about the person.

Anyway, give it a try. Are you In The Weights?

P.S. A number of other “Peter Coles” characters are also listed under my entry, some of them as far as I can see totally fictitious.

#LLMs matter, but machine consciousness is a fantasy.

"The whole world is currently living through a transformation in the medium of thought and communication that may come to dwarf the arrival of alphabetic writing in the ancient Mediterranean or the printing press in early modern Europe. #LargeLanguageModels are not merely new tools for circulating ideas. One way or another they are helping to usher in an entirely new shape of #humanconsciousness.

Despite the violently tedious quality of their insufficiently prompted prose, I affirm the potential intellectual and logistical utility of large language models and other #machinelearning systems. They already have pragmatic value as scientific and philosophical research instruments. But I am polemically dismissive of the fantasy of #machineconsciousness."

https://footnotes2plato.substack.com/p/preface-remembering-the-human-microcosm

#LLMs matter, but machine consciousness is a fantasy.

"The whole world is currently living through a transformation in the medium of thought and communication that may come to dwarf the arrival of alphabetic writing in the ancient Mediterranean or the printing press in early modern Europe. #LargeLanguageModels are not merely new tools for circulating ideas. One way or another they are helping to usher in an entirely new shape of #humanconsciousness.

Despite the violently tedious quality of their insufficiently prompted prose, I affirm the potential intellectual and logistical utility of large language models and other #machinelearning systems. They already have pragmatic value as scientific and philosophical research instruments. But I am polemically dismissive of the fantasy of #machineconsciousness."

https://footnotes2plato.substack.com/p/preface-remembering-the-human-microcosm

How LLMs can be Assisted to do Arithmetic Correctly

https://web.brid.gy/r/https://hackaday.com/2026/06/19/how-llms-can-be-assisted-to-do-arithmetic-correctly/

'#LargeLanguageModels, de achterliggende techniek van #chatbots, zien er misschien indrukwekkend uit, zegt ze. „Maar uiteindelijk is het gewoon fancy autocomplete.” Het is een computer die heel goed is in het voorspellen van het volgende woord in een zin, de recente snelle ontwikkelingen in #AI veranderen daar voor haar niets aan.'

'Het centrale inzicht in haar boek is dat voorspellingen over menselijk gedrag geen neutrale beschrijvingen zijn, maar verhulde bevelen en machtsuitoefening. Wanneer machthebbers of techbedrijven de toekomst voorspellen in grootse en meeslepende toekomstvisies, is dat eigenlijk een manier om precies die toekomst te dicteren. „Omdat voorspellingen op feiten lijken, schikken we ons er onbewust naar via anticiperende gehoorzaamheid, wat een self-fulfilling prophecy activeert.”

Véliz stelt dat een hoge voorspellende nauwkeurigheid over individuen geen wetenschappelijke vooruitgang is, maar een symptoom van tirannie: „Als een algoritme exact weet wat jij gaat doen, is dat omdat de wereld via massasurveillance zo is ingericht dat je geen keuzevrijheid meer hebt.” Haar waarschuwing is helder: behandel voorspellingen niet als feiten, maar herken ze als sociale controle en zie ze als uitnodiging tot protest en ongehoorzaamheid.'

Geen betaalmuur:
https://www.nrc.nl/nieuws/2026/06/12/een-ai-voorspelling-is-nooit-een-feit-het-is-een-versluierd-bevel-a4929592?gift_token=4929592~1782031200~aJm4rJ0IEeKfgABQVoV_mg~L5gmXD201erWqrKHl94i6M3UQNIbwcfoHQsH7qYyW2M

'#LargeLanguageModels, de achterliggende techniek van #chatbots, zien er misschien indrukwekkend uit, zegt ze. „Maar uiteindelijk is het gewoon fancy autocomplete.” Het is een computer die heel goed is in het voorspellen van het volgende woord in een zin, de recente snelle ontwikkelingen in #AI veranderen daar voor haar niets aan.'

'Het centrale inzicht in haar boek is dat voorspellingen over menselijk gedrag geen neutrale beschrijvingen zijn, maar verhulde bevelen en machtsuitoefening. Wanneer machthebbers of techbedrijven de toekomst voorspellen in grootse en meeslepende toekomstvisies, is dat eigenlijk een manier om precies die toekomst te dicteren. „Omdat voorspellingen op feiten lijken, schikken we ons er onbewust naar via anticiperende gehoorzaamheid, wat een self-fulfilling prophecy activeert.”

Véliz stelt dat een hoge voorspellende nauwkeurigheid over individuen geen wetenschappelijke vooruitgang is, maar een symptoom van tirannie: „Als een algoritme exact weet wat jij gaat doen, is dat omdat de wereld via massasurveillance zo is ingericht dat je geen keuzevrijheid meer hebt.” Haar waarschuwing is helder: behandel voorspellingen niet als feiten, maar herken ze als sociale controle en zie ze als uitnodiging tot protest en ongehoorzaamheid.'

Geen betaalmuur:
https://www.nrc.nl/nieuws/2026/06/12/een-ai-voorspelling-is-nooit-een-feit-het-is-een-versluierd-bevel-a4929592?gift_token=4929592~1782031200~aJm4rJ0IEeKfgABQVoV_mg~L5gmXD201erWqrKHl94i6M3UQNIbwcfoHQsH7qYyW2M

"We have, I believe, crossed a new threshold, and all authored writing [...] will be judged according to which side of that divide it falls on. On one side are texts produced before the arrival of generative #largeLanguageModels (#LLMs). On the other, everything that has followed—texts that might still be useful, even compelling, but that will always face a lingering suspicion of not being entirely human..."

https://lareviewofbooks.org/article/fakes-future-artificial-intelligence-llms-larb-quarterly-traffic/
#AI #artificialIntelligence #tech #literature #techCriticism

"We have, I believe, crossed a new threshold, and all authored writing [...] will be judged according to which side of that divide it falls on. On one side are texts produced before the arrival of generative #largeLanguageModels (#LLMs). On the other, everything that has followed—texts that might still be useful, even compelling, but that will always face a lingering suspicion of not being entirely human..."

https://lareviewofbooks.org/article/fakes-future-artificial-intelligence-llms-larb-quarterly-traffic/
#AI #artificialIntelligence #tech #literature #techCriticism

Anthropic says Claude Mythos 5 is simply too dangerous for public release

https://fed.brid.gy/r/https://nerds.xyz/2026/06/anthropic-claude-mythos-5-too-dangerous-for-public-release/

AI Worm Uses Open-Weight Models to Spread, Evade Defenses

Imagine a self-navigating AI worm that can identify vulnerabilities and gain access to over 70% of a network's hosts - in a test, it found 31.3 vulnerabilities and elevated access on 23.1 hosts in just 15 isolated runs. Researchers at the University of Toronto and elsewhere have now created a proof-of-concept AI-driven…

https://osintsights.com/ai-worm-uses-open-weight-models-to-spread-evade-defenses?utm_source=mastodon&utm_medium=social

#AiWorm #OpenweightModels #LargeLanguageModels #VulnerabilityExploitation #EmergingThreats

Revisiting Using AI Coding Assistants: You’re Holding It Wrong Edition

http://web.brid.gy/r/https://hackaday.com/2026/06/08/revisiting-using-ai-coding-assistants-youre-holding-it-wrong-edition/

Revisiting Using AI Coding Assistants: You’re Holding It Wrong Edition

http://web.brid.gy/r/https://hackaday.com/2026/06/08/revisiting-using-ai-coding-assistants-youre-holding-it-wrong-edition/

AI Engr. Hunt: E-Solutions Seeks Specialist Amidst Shifting Tech Currents

E-Solutions is hiring an AI Engineer with LLM, RAG, and Vector Search skills. Find out what this means for AI job seekers and companies.

#AIJobs, #LargeLanguageModels, #RAG, #VectorSearch, #ESolutions

https://newsletter.tf/e-solutions-ai-engineer-llm-rag-vector-search-job/

E-Solutions is looking for an AI Engineer skilled in advanced AI technologies like LLM and RAG. This is a key hire for their practical AI development.

#AIJobs, #LargeLanguageModels, #RAG, #VectorSearch, #ESolutions
https://newsletter.tf/e-solutions-ai-engineer-llm-rag-vector-search-job/

1 #TorstenSlok, chief economist at Apollo Global Markets: The surge in new #US #businessformation is being fueled by #AI and #largelanguagemodels, which are dramatically reducing the cost and complexity of launching a company. 🧵

Craft-Lovers and Make-It-Go People

A nice article by @hongminhee on 2 different types programmers — and how each of them is reacting to AI Coding Tools.

https://writings.hongminhee.org/2026/03/craft-alienation-llm/

One of the comments on lobste.rs is also apt.

https://lobste.rs/s/vxsjiv/why_craft_lovers_are_losing_their_craft

https://lobste.rs/s/vxsjiv/why_craft_lovers_are_losing_their_craft#c_tkudsw

(And something pointed out by others.)

#AI #AICoding #AIProgramming #AIProgrammingTools #LargeLanguageModels #LLM

#TheMythOfWhiteSupremacy #LifeBeyondTheSupremacyMyth #LargeLanguageModels #TechAccountability #ProfitWithoutOppression #WeDeservedBetter #AntiRacistPractice #TheTable

The diffusion of #largelanguagemodels #llm in published #academicarticle | PNAS
"An analysis of 7.3 million journal articles from 2020 to 2025 reveals that by 2025, slightly over half show evidence of LLM"
https://www.pnas.org/doi/10.1073/pnas.2605754123

At the Google I/O conference last week where the only topic was LLMs, Google distributed baseball caps adorned with the LLM prompt that would theoretically bring the cap about.

Not only the three lines small font prompt makes the cap absolutely ugly on its own, but the prompt also omits to mention the prompt decoration, which means the prompt would have led to the creation of a different cap.

Among the problems LLMs are purported to solve, short-sightedness still isn’t one of them.

#AI #LLMs #ArtificialIntelligence #LargeLanguageModels

Researchers Warn of LLM Guardrail Vulnerability to Multi-Turn Manipulation

Beware: even the toughest-sounding safety guardrails on large language models can be easily bypassed by clever attackers who use multi-turn conversations to manipulate them. Cisco researchers found that none of the models they tested were completely safe from this type of exploitation.

https://osintsights.com/researchers-warn-of-llm-guardrail-vulnerability-to-multi-turn-manipulation?utm_source=mastodon&utm_medium=social

#LlmGuardrailVulnerability #MultiturnManipulation #LargeLanguageModels #EmergingThreats #ArtificialIntelligence

Cisco Tests AI for Incident Reports, Finds Mixed Results

Cisco's experiment with AI-generated incident reports yielded mixed results, with large language models producing significant inaccuracies, unusual conclusions, and inconsistent writing styles when used for long-form technical content. The findings revealed four predictable failure modes, highlighting the need for guardrails…

https://osintsights.com/cisco-tests-ai-for-incident-reports-finds-mixed-results?utm_source=mastodon&utm_medium=social

#ArtificialIntelligence #LargeLanguageModels #IncidentResponse #AiTesting #CiscoTalos

Crikey | The literary uncanny valley will not last, and publishing knows it by Jack Callil

AI generated summary, Read the full article for complete information.

The article “The literary uncanny valley will not last, and publishing knows it” by Sami Shah (May 22 2026) observes that readers can currently sense a distinct, uneasy feeling when encountering AI‑generated prose—a “literary uncanny valley” akin to the robotics concept where near‑human artifacts feel off. The piece argues that this unsettling perception is temporary; as large language models improve and the publishing industry adapts, the gap between human‑like writing and machine output will narrow, ultimately eliminating the uncanny sensation.

Read more: https://www.crikey.com.au/2026/05/22/literary-uncanny-valley-writing-publishing-artificial-intelligence/

#ChatGPT #Artificialintelligence #largelanguagemodels #technology #writing

From answer engines to learning engines — Why fast answers are like fast food

https://duncanstephen.net/from-answer-engines-to-learning-engines-why-fast-answers-are-like-fast-food/