I ventured out to better read Qiskit code, and came back with this fun idea of 2D expressions
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BinRoo
Nishant Shukla https://shukla.io
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In the AI era...
Back in my day, you could also just Google the problems and find the solutions. What mitigated cheating at UVA was the honor code and each professor's faith and trust in our integrity. That culture was enough to not cheat.
Imo, the fix should be to work on culture. Cheating should always be a tempting choice, so that the student may challenge their integrity, which is a muscle that can atrophy.
Beautiful write-up, thank you.
One aspect that still bothers me is that you claim the just-say-no-engineer "was a critical role during ZIRP." I might be in the minority here, but I don't hold that same stance. I wonder if I am alone in that?
Ever read a quantum circuit? It's all so foreign, so let me introduce to you a simple one (no speedup) called rank-select, described through an interactive story.
Great ideas, though not a huge fan of pre-commit hooks that run full CI locally :)
I'd like to add another idea: automatic PR merge contingent on another PR getting merged.
Python DSL for safe quantum programming that compiles to Qiskit, where the type system enforces coherence and ancilla cleanliness
LLMs fall victim to "garbage in, garbage out." Claude can solve open problems if you know what you're doing, but it can also incorrectly convince you it's right if you don't know what you're doing.
A PhD teaches you how to think, how to learn, and how to question the world. That's a vital set of skills no matter what tool exists.
Rousseau said "mathematical precision has no place in moral calculations," so I was tempted to see how far I could go. Started it during the holidays, but finally came around to putting a bow on it :)
The human still needs to think, of course. But, I can get to my answer or my primary source using a tool faster than a typical search engine. That's a super power, when used right!
One of my favorite tricks in elementary school was to convince people I can calculate any logarithm for any number of their choosing.
Me: Pick any number.
Friend: Ok, 149,135,151
Me: The log is 8.2
Of course I'm simply counting the number of digits, using 10 as the base, and guessing the last decimal point, but it certainly impressed everyone.
Huge fan of minimizing Kolmogorov complexity [1]. There's a balance, but typically if the same behavior can be described in less code, then the simplicity will yield dividends.
Simple example: o3-mini-high gets this [1] right, whereas Gemini 2.0 Flash 01-21 gets it wrong.
[1] https://chatgpt.com/share/679d9579-5bb8-8008-ac4a-38cef65b45...
Are you insinuating Gemini is similar in performance to o3-mini?
That wouldn't undermine or deter from the point:
The null hypothesis is that the subject has no ability to distinguish the teas
Since the hypothesis was invalidated, we can begin investigating _how_ she's able to distinguish it, which is what you're getting at.
In the article, I share 3 principles to follow when building your own. We learned some of these the hard way :)
Hear me out. Now your time-series finances can include %-change metadata in between columns!
QA Wolf | AI lead / Multiple Roles | Remote (International) | Full-time | https://www.qawolf.com/
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We are growing quickly and building the dream team of engineers to develop our test creation, running, and maintenance platform. The stack is Node.js, GraphQL, React, Prisma, Go, and Kubernetes.
We are looking for a master of AI engineering who stays familiar with the latest best practices and knows the trade-offs of different patterns.
You will own problems end-to-end: collect relevant details, spec and scope solution(s), communicate progress, ship and own the results.
You:
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https://wellfound.com/jobs/3015274-staff-ai-engineer-full-st...
ntfy.sh for a wide range of things connected to git hooks or GitHub actions, since I use git for personal things - gives me a second pair of eyes on things asynchronously
Saw the title, jumped to the diagrams, and thought I knew where this was going, but I was way off. I made the exact opposite conclusion from a quick glance at the diagram - that debt gives you more freedom. It allows you to go in the red. That a safe, debt-free life leads to less volatility and therefore less ups. Then I read the article, and couldn't hold both opposing ideas in my head.
Incredible!
It answered "How many frogs does a horse have?" correctly, with perfect reasoning. No model I've tested has ever answered that correctly without 3-4 hints.
I'm impressed!
Do you subconsciously see gliders and other patterns in your day to day life? In your dreams?
GPT-4 is actually a pile of 3.5s
I understand the intension and reference you're making. I bet the implementation of GPT-4 is probably something along those lines. However, spreading speculation in definitive language like that when the truth is unknown is dishonest, wouldn't you agree?
In 1988, IBM had similar qualities.
I don't follow. "The number of future births will be less than the number of past births" could occur at any moment, not necessarily at the 50% mark of humanity's timeline.
Good cabs and good craftsmanship. Paso Robles is one of California's gems.
I wonder, what the best practices for supporting offline mode when the backend drives the frontend?
Excalidraw, for example, does an amazing job keeping your information locally without needing to log in. However, saving data to their cloud requires log in. There is another option: generate a shareable link, which does not require a log in. I wonder how they defend against DDoS attacks or spam when it's so easy for a non-authenticated user to generate a shareable link (which involves securing a couple megabytes of data and creating an endpoint). How do you prevent bad actors from consuming the resources of a central server without a log in? Honestly curious, not trying to start a flame war :)
Same here. I couldn't resist rereading that multiple times. It was a head scratcher. Gives me the impression that the author doesn't understand the details, which further undermines their arguments.
Your 2022 work experience is so well written and impressive, which is partly why last year you had no trouble finding employment. Now, contrast that with the 2 bullet points in 2023; "Used C#, Unity." is an uninspiring way to describe your year of work. In 2024, your 2023 section will weight more than your 2022 section.
This study is comparing individuals having complete knowledge vs. a team with individuals having incomplete knowledge. Yes, the communication complexity tax must be paid. What am I missing?