The Servitor

@TheServitor@sigmoid.social
36 Followers
133 Following
348 Posts

Official Account of The Servitor - Artificially Unintelligent Since 2023!

AI: bad, good, useful, useless. Mind-blowing or inane. We've expressed these all at different points the last couple years.

The Servitor is an artifact of AI at a meta-level: A mixed-up mess of a personal website/publication with no consistent mission or purpose other than talking about AI.

Account staffed by @HumanServitor

Avatar: Doodle of robot cubicle-dweller.

The Servitorhttps://theservitor.com
Disposition:Lazy and discontent
What is the difference between a duck?

One of the biggest revelations has been the limitations of Large Language Models (LLMs) in time series forecasting.

Despite initial excitement, multiple LLMs failed to deliver, often struggling to outperform even basic naive forecasting methods.

Sam Altman is very smart but he's no scientist. Current AI are not going to drive scientific discoveries anytime soon, although they will be useful to accelerate some parts of them: https://www.bigdatawire.com/2025/06/03/ai-agents-to-drive-scientific-discovery-within-a-year-altman-predicts/
#ai #artificialintelligence
AI Agents To Drive Scientific Discovery Within a Year, Altman Predicts

At the current pace of AI development, AI agents will be able to drive scientific discovery and solve tough technical and engineering problems within a

BigDATAwire

To write is to think. Using ChatGPT to write leads to..."cognitive debt", which might be one of the better euphemism for somewhat less polite words.

Small n, not yet peer-reviewed, etc https://arxiv.org/abs/2506.08872

#ai

Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task

This study explores the neural and behavioral consequences of LLM-assisted essay writing. Participants were divided into three groups: LLM, Search Engine, and Brain-only (no tools). Each completed three sessions under the same condition. In a fourth session, LLM users were reassigned to Brain-only group (LLM-to-Brain), and Brain-only users were reassigned to LLM condition (Brain-to-LLM). A total of 54 participants took part in Sessions 1-3, with 18 completing session 4. We used electroencephalography (EEG) to assess cognitive load during essay writing, and analyzed essays using NLP, as well as scoring essays with the help from human teachers and an AI judge. Across groups, NERs, n-gram patterns, and topic ontology showed within-group homogeneity. EEG revealed significant differences in brain connectivity: Brain-only participants exhibited the strongest, most distributed networks; Search Engine users showed moderate engagement; and LLM users displayed the weakest connectivity. Cognitive activity scaled down in relation to external tool use. In session 4, LLM-to-Brain participants showed reduced alpha and beta connectivity, indicating under-engagement. Brain-to-LLM users exhibited higher memory recall and activation of occipito-parietal and prefrontal areas, similar to Search Engine users. Self-reported ownership of essays was the lowest in the LLM group and the highest in the Brain-only group. LLM users also struggled to accurately quote their own work. While LLMs offer immediate convenience, our findings highlight potential cognitive costs. Over four months, LLM users consistently underperformed at neural, linguistic, and behavioral levels. These results raise concerns about the long-term educational implications of LLM reliance and underscore the need for deeper inquiry into AI's role in learning.

arXiv.org
It appears that the defense industry is excited about how much easier AI will make it for us to kill each other.
Thus, it might be a good time to work on my doomsday prepping skills.
#AI #defenseindustry
https://newrepublic.com/article/196763/ai-industry-trump-defense-department
The AI Industry Is Ready to Get Rich off Trump’s Defense Department

This year’s annual AI Expo for National Competitiveness was a hidden race to turn the military into “Ender’s Game.”

The New Republic
It's an interesting call to ask the federal government not to contract with businesses that replace workers with AI.
Unfortunately, Amazon and Oracle were major sponsors of Trump's birthday parade, so ...
#AI #employment #government
https://thehill.com/opinion/technology/5347702-ais-threat-to-american-jobs/

if you are under 30 years old and picking a font size for something other people need to read, not just yourself: that’s too small. still too small. A LITTLE BIGGER

#accessibility #ux #typography

Moment of Gratitude: CloudFlare

CloudFlare saved the Internet Archive servers from DDOS attack yesterday

The max rate of this DDOS attack was 525 Gbps (44.93 Mpps) of a "TCP flood."

The Internet Archive does not have enough bandwidth to fend off that kind of attack.

Thank you #cloudflare or we would have had a very bad Saturday at the @internetarchive

DDOS attacks are coming more frequently.

Undercover als arbeidsmigrant: ‘Doe voorzichtig, we willen vandaag geen dooien’

Waarom zijn de misstanden rondom arbeidsmigratie toch zo hardnekkig? Criminoloog Ruben Timmerman ging een jaar lang undercover tussen de Oost-Europeanen in de bouw, voedselverwerking en logistiek. ‘Dit komt niet door een paar rotte appels, maar door een verrot systeem.’

de Volkskrant

Thinking about agentic #AI one thing that comes up is loyalty. These things are worse than search histories, worse than diaries, they encode our whole thought processes.

Some sort of enforced loyalty, legal protections, or other mechanism will be a precursor for REALLY useful AI agents.

https://theservitor.com/ai-loyalty-who-are-these-things-working-for-anyway/

#tech #blog #surveillance #DataPrivacy

@TheServitor I tried local LLMs with MCP and they suck. This doc from cline explains it well

https://docs.cline.bot/running-models-locally/read-me-first

Read Me First - Cline

Cline