bnjemian

Joined 10 years ago

Karma
404
Submissions
84
Member since
May 31
AI/quantum scientist, 0-1 software engineer.
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Recent submissions

Comment · 1 month ago
Location: Portland, OR Remote: Yes Willing to relocate: Yes Resume: https://drive.google.com/file/d/1PaPIMm5uTNTUBczpqpspIX-jwcY... Email: See resume.

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Lead systems engineer, senior research scientist, and former technical founder (B2C) with 13 years of experience.

Background in quantum computing, digital watermarking, AI data, and computational biology.

Well-versed in algorithm development and translation into production, quantum machine learning, quantum applications, data governance, cloud infrastructure, security/cryptography, HIPAA, full-stack engineering.

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Looking for founding engineer, technical leadership, or staff/principle engineering roles where innovation meets genuine impact.

Languages: Rust, TypeScript, Node.js, Python, PostgreSQL, Redis.

Comment · 1 month ago
From Randy Baumgardner’s Wikipedia page:

“…a legislative intern, accused Baumgardner of sexual harassment in which he slapped her butt…”

You can’t make this stuff up.

Comment · 3 months ago
Using a PRNG and a seed, you can have paeudo-randomness and determinism. The pseudo-randomness is the key piece, it’s random to the extent that it cannot be distinguished from true randomness in polynomial time classically.
Comment · 3 months ago
I don’t find the recent spate of blog posts and systems delegating and combining LLMs to get better performance particularly interesting. Especially given that anyone who’s taken an ML 101 course has learned about ensemble methods.

While an LLM isn’t what you’d traditionally consider a weak learner, the theorems on learning systems clearly point to them being so in this context. The feigned surprise at combining them to yield better results seems disingenuous.

Even so, the work to predict which models are best suited for which task, how to delegate, and how to combine their outputs is interesting, especially if you’re placing a cost minimization objective on it. That said, this isn’t too far off from what many AI labs are already doing.

Comment · 5 months ago
It’s a huge problem, but I’d caution against this absolutism — there may well be structure that can be created around and between LLMs and their outputs to enable the necessary segregation.

As a loose comparison, hardware bit errors happen probabilistically, yet they’re so rare that we can effectively ignore them in day-to-day use assuming no specialized application (e.g. defense, space, critical infrastructure).

LLMs aren’t there yet, but it’s entirely plausible that structures may can be developed to solve the problem, and those structures aren’t known or commonly conceived of in the present.

Comment · 5 months ago
Location: Portland, OR

Remote: Remote/Hybrid/On-Site

Willing to relocate: California, Washington, Canada, EU, or UK (no visa required)

Languages: Python, Rust, TypeScript, JavaScript, HTML/CSS, SQL

Technologies: PyTorch, JAX, Tensorflow, CUDA, LangChain, LangGraph, NumPy, SciPy, Polars, Pandas, Numba, Cirq, QISkit, Pennylane, Node.js, Deno, Express, Hono, PostgreSQL, PL/pgSQL, Redis, AWS, Azure, Docker, CI/CD — plus whatever you throw at me; I learn fast.

Resume: https://drive.google.com/file/d/1kdtM2vPpLmTu3HI51Guetj82CPe...

LinkedIn: https://linkedin.com/in/benjamin-cordier-phd

Background: Staff-level full-stack engineer (13 YoE), both product and research. PhD in quantum computing/machine learning, applications in computational biology. MS in bioinformatics, applications to cancer genomics. I’m also the founding engineer behind June Dating (0-to-1). Our founding team bootstrapped the company to profitability, we’re currently on a product development hiatus. For my day job, I work in Rust and am building a data watermarking system for a flagship NIH consortium centered on ethical AI and FAIR data, currently around 160M files watermarked (1.9PB of data).

Open to: Founding engineer, staff/senior-staff engineer, and engineering manager roles. Industry/domain agnostic. I do especially well in high ownership and high impact roles.

Comment · 6 months ago
Okay sure, but what happens when a high CVE is discovered that requires immediate patching – does that get around the Upload Queue? If so, it's possible one could opportunistically co-author the patch and shuttle in a vulnerability, circumventing the Upload Queue.

If you instead decide that the Upload Queue can't be circumvented, now you're increasing the duration a patch for a CVE is visible. Even if the CVE disclosure is not made public, the patch sitting in the Upload Queue makes it far more discoverable.

Best as I can tell, neither one of these fairly obvious issues are covered in this blog post, but they clearly need to be addressed for Upload Queues to be a good alternative.

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Separately, at least with NPM, you can define a cooldown in your global .npmrc, so the argument that cooldowns need to be implemented per project is, for at least one (very) common package manger, patently untrue.

# Wait 7 days before installing > npm config set min-release-age 7

Comment · 6 months ago
Would like to check this out when you're ready to share.
Comment · 6 months ago
I just experienced this same issue with Gemini. I pasted a text message thread into Gemini (Pro, Thinking, Flash – all are affected) and it was misattributing dialogue. It said Alice said x, which Bob had said; it said Bob said y, which Alice had said. This was a two person dialogue and clearly marked with:

Alice: x Bob: y Alice : z ...

While the analysis was mostly coherent with the exception of said misattributions, I filed away the mental note that this misattribution error happened frequently in these type of exchanges.

Comment · 6 months ago
It's funny because the author notes a prior attempt to uncover Satoshi's identity and giving up because an implied lack of technical depth.

I guess this time they were undaunted. Perhaps they received an AI assist and felt validated by AI sycophancy.

Much of the technical evidence cited is weak (e.g. strong knowledge of public-key cryptography, both used C++, etc.). Still, the (somewhat lazy) forensic linguistics is interesting.

Comment · 6 months ago
Suspect it's a typo. 33, not 23, gives ~8.6*10^9.
Comment · 9 months ago
This completely ignores that: 1. Russia was the aggressor in Ukraine, 2. Putin has made clear his desire to pursue expansionist goals through military action targeting prior members of the Soviet Union, 3. Putin regular threatens nuclear war with Ukraine, 4. Russia has shown outward hostility towards Western democracies and sought to manipulate elections with information warfare to reach their goals (most notably, 2016 US Election and Brexit), 5. Russian regularly cuts cables connecting countries, and 6. Though completely unrelated, Putin has a history of assassinating political opponents. That's wolfish behavior if I've ever seen it.
Comment · 2 years ago
Need to look into how this turned out – I've sent letters to Merkley and Wyden over the years about privacy concerns relating to facial recognition and similarly invasive technologies. We need more regulation in this space.

That said, the TSA is in some respects the lesser concern. Don't get me wrong, the TSA not having free rein with facial and biometric technologies is a good thing. But when companies like Clearview AI (https://www.clearview.ai) sell their facial recognition technologies to local police departments – technologies that were built on illegally obtained data and have a history of substantial racial bias – we have bigger issues. It's opaque, unregulated, invites a wellspring of social injustice, and doesn't past muster under any ELSI framework.

Government regulating government is important. But we, as a society, need to stop giving private companies like Clearview AI a pass on harmful, exploitative behavior – especially when they're run by founders like Hoan Ton-That who offer post-hoc rationalizations that amount to (and I'm paraphrasing here) 'Well, if we hadn't done it, someone else would have, so why not us?'

We need a bigger bill that enshrines and elevates privacy for the modern world.

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