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notatechguy

notatechguy

🔄 Data last refreshed 14 minutes ago
🤝

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Every booking is a normal escrow-protected deal.

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

📊 Post engagement

1
Avg engagement / post
33.3%
Engagement vs followers
Jul 2026
On Mastodon since

🔥 Top post: LLMs flip answers 23% of the time when you rephrase the question · 1 likes + reposts

📊 Activity & format

Posting cadence
35.8 / week
A very active account — posts many times a day.
Content mix
Mostly text
Recent: 12 text · 0 image · 0 video.
🔥 Top post LLMs flip answers 23% of the time when you rephrase the question LLM answers change on over 23% of questions when wording shifts, and standard accuracy scores hide the reliability gap from anyone deploying AI. https://www.notatechguy.com/llms-flip-answers-23-of-the-time-when-you… ★ 1
ABS CPI release moves earlier from 2027, skips weight update The June 2026 quarter CPI landed on 29 July with two structural changes: earlier monthly releases from February 2027 and no mid-year weight update https://www.notatechguy.com/abs… ★ 1 OpenAI field report: AI agents accelerate genomics research OpenAI's July 28 field report says AI coding agents speed up genomics discovery, but offers no benchmarks or named scientists. https://www.notatechguy.com/openai-field-report-ai-a… Gemini API agents get execution hooks and 3.6 Flash default Gemini API managed agents now run 3.6 Flash by default and let developers intercept tool calls with custom hooks, changing how agentic workflows run on https://www.notatechguy.com… MIT preprint: fluid search cuts autonomous AI research cost An MIT-linked arXiv preprint argues autonomous research systems are graded on final results but ignore how much compute they burn getting there, and https://www.notatechguy.com/mi… ★ 1 Active Directory security thesis rethinks defence with decoys An arXiv thesis from Adelaide proposes decoy placement and admin feedback loops for AD security, but admits the underlying maths is intractable. https://www.notatechguy.com/acti… AI reasoning models fail from self-doubt, not capability gaps New arXiv study finds reasoning models fail tasks they can solve due to premature self-doubt. The fix may not require bigger, more expensive models. https://www.notatechguy.com/… ISPCloak fools deepfake detectors by faking camera noise ISPCloak projects AI images through a simulated camera pipeline, imprinting sensor noise that deepfake detectors cannot tell from genuine photographs. https://www.notatechguy.com/isp… OpenAI research: ChatGPT users take on tasks across roles OpenAI's latest research says ChatGPT users are taking on tasks across roles, reshaping job boundaries. Here's what that means for workers. https://www.notatechguy.com/openai-resear… FineServe shows LLM serving traffic varies by model type FineServe, a new dataset from a commercial LLM marketplace, reveals serving traffic varies fundamentally by model architecture and task type. https://www.notatechguy.com/fineserve-sh… OPTScientist: AI agents discover new transformer optimizer OPTScientist uses four AI agents to discover optimizer algorithms for transformer pretraining, including a new reduced-state matrix optimizer called RS-MR. https://www.notatechguy.… Paired sampling cuts variance in domain adaptation training An arXiv preprint proposes pairing data into quadruplets to cut gradient variance in unsupervised domain adaptation, improving target accuracy on three https://www.notatechguy.com…

🐘 Community & instance

Home server
mastodon.social
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
Jul 2026
An established account with real history on the platform.

💡 Facts

🗓️Joined Mastodon in 2026.
👁️Averages 1 views per post.
📤Posts about 35.8× per week.

🛡️ Audience credibility

60/100
Fair Credibility score
82%
Real Real audience
Low Fake-follower risk
Medium Data confidence
  • Est. 82% real, active audience · Low fake-follower risk.
  • Strong engagement (~0.3× of followers engage each post) — an active, real audience.
  • Very new account (under 3 months) — higher throwaway/bot risk.

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

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