Gemini for information gathering/aggregation and polishing writing, and it works quite well given G Suite integration.
Claude for code-related tasks.
@abeirami.bsky.social
stealth // Gemini RL+inference @ Google DeepMind // Conversational AI @ Meta // RL Agents @ EA // ML+Information Theory @ MIT+Harvard+Duke // Georgia Tech PhD π{NYC, SFO, YYZ} π https://beirami.github.io/
Gemini for information gathering/aggregation and polishing writing, and it works quite well given G Suite integration.
Claude for code-related tasks.
I haven't used ChatGPT for a month now and haven't missed it.
Today felt like a good day to cancel my subscription.
This position is in office in Palo Alto CA
14.01.2026 16:04 β π 1 π 0 π¬ 0 π 0How to apply?
Send an email to hiring@fidian.ai with the subject βFidian MTS Jan 2026β and attach your resume. In the email body, please include two paragraphs:
- Explain what in this space excites you the most and what you would like to work on.
- Highlight an achievement you are most proud of.
Why Join us?
- You will be solving frontier problems in building robust AI systems, defining the standard for how the next generation of agents are built.
- Work directly with a world-class team with extensive experience building frontier models and scalable AI systems.
Qualifications
- 3+ years of research/eng experience training LLMs, agents, and RL.
- Ability to read, synthesize, and implement state-of-the-art research artifacts.
- Experience training and inference from the frontier model landscape.
- Comfortable working with large datasets.
What we do
- Advance the state-of-the-art by analyzing the latest research on agentic AI, coding agents, self-improving systems, memory architectures, and agent evaluation, and translating them into production code.
- Build an agentic system that analyzes and writes production codebases for agents.
We are hiring Members of Technical Staff (Research Engineers)!
Current LLM agents lack reliability, creating a gap between demos and production. We solve this by automating the complex workflow of debugging, evaluation, and iteration required to make agents robust. π
- Iran is in a humanitarian crisis.
- Thousands are reported dead in 72 hours.
- We are past the point of solidarity. Empty words do not stop bullets. Action does.
- The world must intervene now.
For years, Iranβs masked plainclothes regime thugs have abducted and murdered citizens with absolute impunity for wanting prosperity and refusing to fear them. Officials call it law enforcement and smear protesters as paid agents of the stateβs enemies.
This must end. Iranian people must prevail!
This thread is approaching the edge of stability π€£
09.12.2025 02:34 β π 1 π 0 π¬ 0 π 0Congratulations! Very well deserved.
No entropy was revealed by the decision though π
Found myself repeating this to several students at NeurIPS:
When youβre choosing an internship or a job, what you work on and who you work with matter way more than the logo. Donβt optimize for brands. Become the brand!
If youβre excited about building agentic systems, letβs chat.
p.s. also on the UniReps panel Saturday on the broken state of reviewing & publishing.
Hiring researchers & engineers to work on
βbuilding reliable software on top of unreliable LLM primitives
βstatistical evaluation of real-world deployments of LLM-based systems
Iβm speaking about this on two NeurIPS workshop panels:
ποΈSaturday β Reliable ML Workshop
ποΈSunday β LLM Evaluation Workshop
Woke up to this email this morning
- Wow, I won a NeurIPS award?!
- β¦runner-up, but Iβll take it.
- Wait, I didnβt submit a paper.
- Ah, Iβm chairing the session and Iβm supposed to give the award.
Huge congratulations to the actual winners and runners-up!
If you're at @neuripsconf.bsky.social on Dec 6, donβt miss our panel session at @unireps.bsky.social with Ahmad Beirami, Sara Hooker and more to be announced! π
23.11.2025 09:44 β π 1 π 1 π¬ 0 π 0Will be at NeurIPS Thu Dec 4 to Sun Dec 7, excited to reconnect with old friends and make new ones.
If you are excited about AI engineering (orchestration, evals, and optimizing scaffolds), we are hiring!
On Saturday Iβll be on panels at the Reliable ML & UniReps workshops.
Once you see a math concept geometrically, it becomes much easier to think about, and itβs hard to go back to any other way of seeing it.
05.11.2025 13:20 β π 4 π 0 π¬ 1 π 0Whatever you are feeling is a normal response. Give yourself time and space to process, connect with others for support, and begin healing. I am happy to help in any way I can!
24.10.2025 12:25 β π 1 π 0 π¬ 0 π 0I am sorry for what many of my excellent former colleagues are going through.
Layoffs can be emotionally challenging for everyone, whether you are directly affected or not.
The math that LLMs can do today is novel enough to be considered publishable, but it's not the kind of math that would be consequential.
24.09.2025 21:42 β π 4 π 0 π¬ 0 π 0My thoughts on the broken state of AI conference reviewing.
www.linkedin.com/feed/update/...
Let's regress from here to AGI!
11.09.2025 14:49 β π 3 π 0 π¬ 0 π 0Slide titled βTakeaways (alignment recipe).β Step 1: Perform Best-of-n and make sure it works as desired. β Inspect a few responses and verify the reward-induced ranking makes sense. β Best-of-n gives the best trade-offs; if it doesnβt work, no fancy method will. β You can debug best-of-n much faster. Step 2: Only then train your favorite alignment method. β Track KL(Οβp) throughout training: β’ KL > 100: results are unlikely to be useful. β’ KL > 15: inspect outcomes for reward hacking. β’ KL < 8: you are probably OK. Bottom banner in a black box repeats β(1) Look at your data! (2) Look at your data! (3) Look at your data!β in blue, green, and red.
This is the conclusion slide of a talk I gave more than a year ago on RL/Alignment! It still holds true today.
10.09.2025 13:07 β π 3 π 0 π¬ 0 π 0This also applies to telling your story (e.g., in a CV, bio, interview, etc).
Focus on what you have accomplished and what you are excited about doing next; not just where you did it!
Haha. the content was:
If a paper is great, the credit goes to the first author.
If a paper has any flaws, the responsibility falls on the last author.
The actual unpopular opinion is that the notion of senior and junior authors should be abolished. It has completely diluted the notion of scientific authorship and created this entire industry of free-riding, head-in-the-clouds, incompetent PIs/managers. List down exact contributions instead. [+]
07.09.2025 18:49 β π 10 π 2 π¬ 2 π 0Glad you asked.
bsky.app/profile/abei...
I occasionally get messages asking how to follow my path and get into Meta, DeepMind, or similar places. That is the wrong question. Do not focus on the brand! Focus on what you want to work on, then find the opportunity that fits your goals best.
09.09.2025 13:31 β π 2 π 0 π¬ 0 π 1