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.
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.
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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.
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Small n, not yet peer-reviewed, etc https://arxiv.org/abs/2506.08872
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.
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
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.
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.’
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/
@TheServitor I tried local LLMs with MCP and they suck. This doc from cline explains it well