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@PeteDaGuru

@PeteDaGuru

🔄 Data last refreshed 15 hours ago
🤝

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Followers
16
Account age
3 yrs
🧰 Free analysis for @PeteDaGuru
🕵️ Fake follower check 📊 Engagement rate 💰 What they charge

Known for

📊 Post engagement

1
Avg engagement / post
6.3%
Engagement vs followers
Dec 2022
On Mastodon since

🔥 Top post: #AIML Modern variant of: Artificial intelligence meets natural · 2 likes + reposts

📊 Activity & format

Posting cadence
1 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 11 text · 1 image · 0 video.
Follower / following
0.2×
Follows 105 back. A more reciprocal / networked account.
🔥 Top post #AIML Modern variant of: Artificial intelligence meets natural stupidity (Drew McDermott 1976-04-01): https://doi.org/10.1145/1045339.1045340 ★ 2
#AIML Prompt Injection as Role Confusion arxiv:2603.12277- CoT Forgery, role probes, evolution of role tags ICML2026 (Charles Ye, Jasmine Cui, Dylan Hadfield-Menell 2026-06-27): https://role-confusion.github.io/ #AIML Anthropic’s Fable and the State of AI - relentless proactve hacking without normal human social constraints "Malicious intent is not required. To an AI model, constraints are just things to get around and not general truisms about th… ★ 1 #AIML Verbalizable Representations Form a Global Workspace in Language Models - jlens - Jacobian lens - inspect LLM global workspace J-Space to reveal "internal reasoning" and causal abstraction https://github.com/anthropics/jacobian-lens … ★ 1 #AIML On the Philosophical Naivety of Engineers in the Age of Machine Learning - conflating token probability with truth, equating statistical metrics with epistemic adequacy - Clemson AIRISE mznaser@clemson.edu (M. Z. Naser 2025-06-04): … #AIML #CyberSecurity Living Off the LLM: How LLMs Will Change Adversary Tactics arXiv:2510.11398 - ORNL IEEE - local LLM abuse LOTL (Sean Oesch, Jack Hutchins, Luke Koch, Kevin Kurian 2025-10-13): https://arxiv.org/abs/2510.11398 #AIML Wiki to collect AI Tropes - names and definitions of AI phenomena (2026-06-26): https://aitropes.miraheze.org/ #AIML Deep-Research Agents Can Be Poisoned via User-Generated Content arXiv:2605.24245 Cornell (Tingwei Zhang, Harold Triedman, Vitaly Shmatikov 2026-05-22): https://www.404media.co/it-is-trivially-easy-to-use-reddit-to-manipulate-ai-searc… #AIML NIST Mathematical Proof Supports Transition to a Continuous-Monitor-and-Update Security Model for AI Systems - from IEEE paper Robust AI Security and Alignment: A Sisyphean Endeavor? (2026-06-09 Apostol Vassilev): https://www.nist.… ★ 1 Item at Costco has me thinking of Mel Brooks and John Candy ★ 1 #AIML How Dangerous Is Anthropic’s Mythos AI? - think about tax loopholes or laws like code (Bruce Schneier 2026-05-14): https://www.schneier.com/blog/archives/2026/05/how-dangerous-is-anthropics-mythos-ai.html Anthropic secretly installs spyware when you install Claude Desktop - Claude.app Native Messaging bridge com.anthropic.claude_browser_extension (Alexander Hanff 2026-04-18): https://www.thatprivacyguy.com/blog/anthropic-spyware/

🐘 Community & instance

Home server
universeodon.com
A large general-interest Mastodon server. On the fediverse the server a creator picks hints at their community — this one spans all topics.
On Mastodon since
Dec 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 per week.

🕵️ Fake follower check

Estimated
76/100
Good Credibility score
97%
Real Real audience
Low Fake-follower risk
Medium Data confidence
  • Est. 97% real, active audience · Low fake-follower risk.
  • Strong engagement (~6.3% of followers engage each post) — an active, real audience.
  • Established account (3+ years old).

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

About

A technical nerd in all the nice ways. Plays well with others.

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