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Paul Piwek

Paul Piwek

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Followers
43
Account age
3 yrs
🧰 Free analysis for Paul Piwek
🕵️ Fake follower check 📊 Engagement rate 💰 What they charge

📊 Post engagement

1
Avg engagement / post
2.3%
Engagement vs followers
Nov 2022
On Mastodon since

🔥 Top post: Both the perils and prospects of AI chatbots are brought to life · 1 likes + reposts

📊 Activity & format

Posting cadence
0.09 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 11 text · 1 image · 0 video.
Follower / following
0.8×
Follows 54 back. A more reciprocal / networked account.
🔥 Top post Both the perils and prospects of AI chatbots are brought to life in the first episode of AI Confidential (on BBC 2/iplayer tonight at 9pm) by Hannah Fry, Curious Films and OU/BBC. It was pleasure to be involved throughout the development of the series as an academic advisor and … ★ 1
LLMs as circus tigers - outside the cage A circus tiger escapes its enclosure and ransacks the local super market. Who is responsible and liable? The tiger, the supermarket or the circus …? Now think about the latest OpenAI - HugginFace “s… Large Language Models (LLMs) as stochastic parrots? No, more like circus tigers. https://open.substack.com/pub/logicmachines/p/large-language-models-llms-as-stochastic?r=50a4g6&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true We already had vibe coding, now we also have vibe accounting https://www.itpro.com/software/microsoft-touts-new-copilot-features-in-excel-but-says-you-shouldnt-use-them-if-you-want-accurate-results Why conversational LLMs aren’t speakers, in a nutshell (i.e. an argument map): https://coding2learn.github.io/Piwek_Are_conv_LLM_speakers_poster.pdf (and more detail here: https://oro.open.ac.uk/99476/). “In the end it is up to communities of learners and educators to create the circumstances in which these new [Generative AI] tools amplify rather than subdue human intelligence, just as the [Encyclopaedia] readers in the first Enlightenmen… ★ 1 "Unsurprisingly, DeepSeek did not provide answers to questions about certain political events." (https://www.theguardian.com/technology/2025/jan/28/we-tried-out-deepseek-it-works-well-until-we-asked-it-about-tiananmen-square-and-taiwan). … A paper from the very end of 2024 by a team of researchers, most of them employed by Anthropic at some point, claims that LLMs can “fake” alignment. But who is deceiving who? https://open.substack.com/pub/logicmachines/p/dangerously-decep… 7/7 Final note: And where would a Python beginner get the idea of writing "pen: up()" anyway? Well, sometimes the reference documentation can trip you up if you don't read carefully: "You can also move the turtle around without drawing, by… ★ 1 6/7 Note that the up() has the side effect of raising the pen, but the return value is None. BTW: the name 'pen' does no work at all in all of this. foo:up() works just as well. So please don't use pen:up() - it works, but for all the wron… 5/7 In conclusion, pen:up() works because Python interprets this as a type annotation up() on the name pen. #Python evaluates up() before it is stored in __annotations__ >>> from turtle import * >>> pen:up() >>> __annotations__ {'pen': Non… ★ 1 4/7 As per pep-0563 @ThePSF, you can switch off annotation evaluation and instead store annotations as strings as follows: >>> from __future__ import annotations >>> l: 2+2 >>> __annotations__ {'l': '2 + 2'}

🐘 Community & instance

Home server
mastodonapp.uk
Their home server on the fediverse — the instance a creator picks signals the community they belong to.
✅ Link-verified
Verified link
Proved ownership of a website linked on their profile — Mastodon's green-check verification, a real identity signal rather than a paid badge.
On Mastodon since
Nov 2022
Joined in the Twitter-exodus wave of late 2022 — part of the migration that made Mastodon a real destination.

💡 Facts

🗓️Joined Mastodon in 2022 — 3 years ago.
👁️Averages 1 views per post.
📤Posts about 0.1× per week.

🕵️ Fake follower check

Estimated
83/100
Excellent Credibility score
99%
Real Real audience
Low Fake-follower risk
Medium Data confidence
  • Est. 99% real, active audience · Low fake-follower risk.
  • Strong engagement (~2.3% of followers engage each post) — an active, real audience.
  • Verified account.
  • Established account (3+ years old).

Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

Researching computational theories of meaning and teaching computing

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