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Mihai Maruseac

Mihai Maruseac

Mastodon @mihaimaruseac@techhub.social
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📣Sponsored postOne disclosed post (toot) with your link and message. $12→ 🧵Sponsored threadA multi-post explainer or story — the fediverse rewards dept… $30→ 📦Product seeding / honest reviewSend me your product — I post a disclosed, honest take. Auth… $16→ 📌Pinned sponsored postA disclosed post pinned to the top of my profile for the mon… $36/mo→ 🔗Profile link (bio field)Your link in one of my profile metadata fields for the month… $18/mo→ 🔁Boost packageI boost (repost) your account's toots through the month — di… $24/mo→ 🏛️Instance / community sponsorshipSponsor the server I run — a sponsor line in the About/rules… $30/mo→ 🤝Mutual boost collabWe boost each other across instances — a value swap between … Swap→ 🎬UGC HireBranded content for your own channels & ads from $50→ 🎙️Podcast guest spotInvite Mihai Maruseac onto your podcast (~45 min, remote) $25→

Every booking is a normal escrow-protected deal.

Followers
14
Account age
3 yrs
🧰 Free analysis for Mihai Maruseac
🕵️ Fake follower check 📊 Engagement rate 💰 What they charge

📊 Activity & format

Posting cadence
0.36 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 10 text · 2 image · 0 video.
Follower / following
0.6×
Follows 25 back. A more reciprocal / networked account.

Recent posts

View on Mastodon ↗
A while ago I did a little bit of a podcast episode on the OpenSSF model signing specification (OMS) and the AI/ML working group. It's now up at https://openssf.org/podcast/2026/07/14/whats-in-the-soss-podcast-65-s3e17-signing-the-future-s… "If they ever tell my story let them say that I walked with giants." -- Troy I am humbled and excited that the privacy-filter model we released last week is now trending as number 2 on HuggingFace, between giant models such as DeepSeek, Qw… SHIPPED: My first release at @OpenAI with a ton of work from an awesome team: a privacy filter model that is small enough it can run in the browser while also pushing the frontier in the space. Also CLI tool to use model. Both under Apache… After significant deliberations today I decided to get out of the tech job industry. I just sent the "an update on Mihai" email. Starting tonight you can find me as a park ranger in Yosemite. That would be a career that cannot be impacted … When I was preparing the problems I used to test the 80 LLMs at the end of January I made a mistake. An LLM showed me where I was wrong. https://mihai.page/ai-2026-2/ I've been using LLMs to answer questions and learn in the past weeks. I'm summarizing how Deep Research and Study Mode (Guided Learning / Study and Learn) from Gemini and ChatGPT can be used for this, without going into too many details. h… I tested 80 models on two simple grid-based problems, asking them to locate 2026 and compute the sum of the neighbors when the numbers are placed in a spiral on the grid. The results surprised me, as models performed better on the problem … It's me, hi... I'm working on more AI.. Yesterday was my last day at Google. It was a bittersweet departure, leaving a team I really enjoyed working with. GOSST's mission is extremely important and I still believe in it. Today was my first… Use `--yolo-mode`, Ralph, Gas Town, or any other automated tools? Beware of agent loops that run out of control. See a less dangerous example on https://github.com/google-gemini/gemini-cli/issues/16723 New year, new problems to test the LLMs on: arranging the numbers on a spiral, what is the sum of the neighbors of 2026? Read on for more details and some preliminary results, as well as how to suggest other LLMs to test: https://mihai.pag… Just posted my 2025 wrapped blog post (https://mihai.page/2025-wrapped/). I met all my goals for the year, time to make goals for 2026 and have 2026 be a year of doing, then talking about done. I have some concepts of some plans, so to say. Yesterday I delivered the last talk about model signing, finishing the year with the most conference talks for me. I had an amazing time at all these events throughout the year and it's been awesome to see how we went from releasing model …

🐘 Community & instance

Home server
techhub.social
A tech server — its members and audience skew toward that niche, so expect a community-aligned, engaged following.
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.
📤Posts about 0.4× per week.

🕵️ Fake follower check

Estimated
55/100
Fair Credibility score
80%
Real Real audience
Low Fake-follower risk
Low Data confidence
  • Est. 80% real, active audience · Low fake-follower risk.
  • Limited engagement data — score uses the signals available.
  • Established account (3+ years old).

Low confidence — few signals are public for this listing, so treat it as a rough screen. Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.

About

Building AGI with Privacy and Security at OpenAI. Previously: ML Supply chain security @ Google Open Sourse Security Team (GOSST, released model signing & GUAC). Previously: TensorFlow Security & OSS @ Google Research. Previously: Haskell+differential privacy+ML @ LeapYear.

🔀 Audience overlap

Estimated

Estimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.

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