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dizzant

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PhD student in Electrical & Computer Engineering at Georgia Institute of Technology. Expertise: Robotic motion planning and control. Actively seeking collaborative applied research positions in industry.

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Claude Opus 4.8 2 months ago

Pronounced like “groom” makes for a nice analogy with slimming down the model size too.

In his dissent [1], Justice Kavanaugh states:

Given that the phrase “adjust the imports”—again, in a statutory provision that did not use specific words such as “tariff ” or “duty”—was unanimously held by this Court in 1976 to include tariffs, and given that President Nixon had similarly relied on his statutory authority to “regulate . . . importation” to impose 10 percent tariffs on virtually all imports from all countries, could a rational citizen or Member of Congress in 1977 have understood “regulate . . . importation” in IEEPA not to encompass tariffs? I think not. Any citizens or Members of Congress in 1977 who somehow thought that the “regulate . . . importation” language in IEEPA excluded tariffs would have had their heads in the sand.

The roll-call vote for HB7738 (IEEPA) was not recorded [2], so we seemly can't confirm today how any sitting members voted at the time. But there are two members of Congress remaining today who were present for the original vote: Chuck Grassley (R-Iowa) and Ed Markey (D-Mass). They clearly both agree with the Court, while having different opinions on the tariffs themselves.

Statement by Grassley [3]:

I’m one of the only sitting members of Congress who was in office during IEEPA’s passage. Since then, I’ve made clear Congress needs to reassert its constitutional role over commerce, which is why I introduced prospective legislation that would give Congress a say when tariffs are levied in the future. ... I appreciate the work [President Trump] and his administration are doing to restore fair, reciprocal trade agreements. I urge the Trump administration to keep negotiating, while also working with Congress to secure longer-term enforcement measures.

Statement by Markey after previous decision in August [4]:

Today’s ruling in the U.S. Court of Appeals for the Federal Circuit makes it clear that President Trump’s chaotic tariff policy is illegal. ... Today’s ruling is an important step in ending the economic whiplash caused by Trump’s abusive tariff authority.

N=2 is scant evidence, but it seems like both sides of the aisle "had their head in the sand", or Justice Kavanaugh's historical interpretation is a bit off.

[1] p.127: https://www.supremecourt.gov/opinions/25pdf/24-1287_4gcj.pdf

[2] g. 22478: https://www.congress.gov/95/crecb/1977/07/12/GPO-CRECB-1977-...

[3] https://www.ketv.com/article/lawmakers-from-nebraska-iowa-re...

[4] https://www.sbc.senate.gov/public/index.cfm/2025/8/ranking-m...

In my research I take notes exactly as described here. I use plain-text files, one per week, with dated sections using markdown-ish notation where convenient. Display is never a goal; approximately 80-char column plaintext is the target format.

I agree with other commenters here that typing gives me more flexibility, in particular when writing arguments. I’ll format each point as a bullet and rearrange the list until I’m satisfied with the flow.

The notebook is essential for recovering tidbits learned along the way, e.g. what tricky steps did I need to get that one dependency to build. Weekly notepads are coarse enough to search by memory and contain enough context to get oriented quickly when going back several months.

It's all a blur 5 months ago

I recall a paper from many years ago (early 2010s) describing methods to estimate the camera motion and remove motion blur from blurry image contents only. I think they used a quality metric on the resulting “unblurred” image as a loss function for learning the effective motion estimate. This was before deep learning took off; certainly today’s image models could do much better at assessing the quality of the unblurred image than a hand-crafted metric.

This is... hard to follow. You seem to be implying that Cloudflare is covering for USG's failed military op-sec surrounding a malicious BGP leak, and judging that this is such a bad action (on the part of Cloudflare) to undermine your trust, not only in Cloudflare, but in all companies and the US government entirely. I don't think the situation is so dire.

Cloudflare's post boils down to Hanlon's razor: a plausible benign interpretation of the facts is available, so we should give some scrutiny to accusations of malice.

Are there specific relevant facts being omitted in the article, or other factors that diminish Cloudflare's credibility? They're clearly a qualified expert in this space.

Let's assume for the sake of argument that the BGP leaks (all of them from the month of December, in fact) were the result of secret US military intelligence operations. The fact that militaries generally use cyber vulnerabilities to achieve their objectives is not news, and the US military is no exception. Keeping specific exploits secret preserves a valuable advantage over competitor states.

One could argue that Cloudflare's post helps to preserve USG's secrecy. We can't know publicly whether USG solicited the article. But even if we assume so (again assuming malice): Is Cloudflare wrong to oblige? I don't think so, but reasonable people could disagree.

Merely pointing out Hanlon's razor doesn't fundamentally change the facts of the situation. In Cloudflare's expert opinion, the facts don't necessarily implicate USG in the BGP leaks without an assumption of malice. Assuming Cloudflare is malicious without justification is just deeper belief in the conspiracy that they're arguing against.

If Cloudflare is distorting the facts, we should believe (rightly) that they're malicious. But I don't see any evidence of it.

EDIT: Clarity tweaks.

a quick introduction to a few modern Fortran features: declaring variables, printing and reading to and from the terminal, if and select case, and stop

Pretty much sums up this one. Can't say that I agree if/select/stop are "modern" features.

Scaling HNSWs 8 months ago

To be clear, I'm not disagreeing with antirez at all. I feel his argument in my bones. I am a smart programmer. I want simple, powerful systems that leave the kid gloves in the drawer.

The unfortunate reality is that a large cadre of people cannot handle such tools, and those people still have extremely valuable contributions to make.

I say this as a full-time research engineer at a top-10 university. We are not short on talent, new problems, or funding. There is ample opportunity to make our systems as simple/"pure" as possible, and I make that case vigorously. The fact remains that intentionally limiting scope for the sake of the many is often better than cultivating an elite few.

I am often responsible for landing branches created by colleagues who are less disciplined about their diff cleanliness than me. Very often, attempting to regroup a spurious change from an early commit to a separate "cleanup" commit results in a long conflict hell.

Scaling HNSWs 8 months ago

many programmers are smart, and if instead of creating a magic system they have no access to, you show them the data structure, the tradeoffs, they can build more things, and model their use cases in specific ways. And your system will be simpler, too.

Basically my entire full-time job is spent prosecuting this argument. It is indeed true that many programmers are smart, but it is equally true that many programmers _are not_ smart, and those programmers have to contribute too. More hands is usually better than simpler systems for reasons that have nothing to do with technical proficiency.

Thank you for the many tool links! You seems to know this space well. I have come to pick your brain for more.

I have been searching for a while for good tools to split/regroup diffs in a patch series. hunk.nvim looks interesting. Do you know of similar/competing tools?

I frequently hit a problem where removing a spurious hunk from an old commit causes cascading conflicts in all subsequent commits. Are there tools to propagate hunk removal into the future without the manual conflict-resolution pain?

Thanks again!

An underrated reason to remove eligibility testing is to make programs accessible for people in poverty. Navigating a means-tested welfare program is byzantine in the worst way-- accessing and submitting countless forms with confusing, often ambiguous or incomplete instructions; standing in long lines at specific times/locations far from the city center to get help or make progress; complete lack of process transparency; and dependence on faceless bureaucrats to decide your fate.

My family once had to navigate Medicaid. I was well-resourced, understood the expected outcome thoroughly, was motivated to get it done, and committed the time to follow the required process. When our initial application was mishandled due to inaccurate guidance, it took over 2 years of persistent failed communications with the various county, state, and federal agencies, back-office middlemen, doctors, and legislators to get any response beyond "apply again and hope for the best", which we did several times to no avail. In the mean time, having a Medicaid application open changes the availability of medical care, as some doctors will not or cannot by law accept additional Medicaid patients. Eventually by some mild social engineering I procured direct access to a specific empowered bureaucrat who had knowledge of a separate set of applicable rules/processes and resolved our case immediately.

Most people in poverty do not have the time, attention, or stamina to persist through means testing on top of struggling against whatever landed them in poverty in the first place. Every time I visited the county office, I would hear someone complaining about how they had applied 8 times without success for a program everyone in the room agreed they should qualify for. Means-testing is designed, by popular demand, to make accessing benefits difficult for the sake of spending less. UBI, for all its faults, at least addresses that problem.

Tcl-Lang Showcase 10 months ago

I used Tcl at my very first internship for test automation. Coming from a self-taught Javascript/Java/C#/C++ background, Tcl really stretched my concept of what a programming language is, especially how it plays with stack frames and munges string values.

Coincidentally Tcl also inspired my first deep dive into Vim. The test automation framework at that company required meaty Tcl expressions packed into CSV cells. Tcl was mind-boggling enough when properly formatted, so hand-editing squashed 1800 character long expressions on a single line was way too much. I'm fairly certain the assignment was part hazing and the framework part "job security".

Jokes on them, I spent 2 weeks on a side quest to make a Vim plugin that could add line breaks and indent a Tcl expression into a split temporary buffer for editing and squash it back to the right cell when I was done. Halfway through the summer I had completed the entire backlog. The manager got a reprimand for being a jerk and I spent the rest of the summer making the framework less painful.

You’re right, shallowly — the quality of their implementation bears on these results.

One could read this paper as Salesforce publicly weighing their own reputation for wielding existing tools with competence against the challenges they met getting those tools to work. Seemingly they would not want to sully that reputation by publishing a half-baked experiment, easily refuted by a competitor to their shame? It’s not conclusive, but it is relevant evidence about the state of LLMs today.

I interpreted this to mean he holds clean water (e.g. from a bottle) in his mouth when entering the toilet, for the purpose of wetting toilet paper. A clever solution, IMO.

Certainly! The limit is your creativity. My first idea: generate very large scale 2D noise. Choose a threshold to divide it into regions. For each region, choose a direction of motion. Design a “mountain envelope” function that considers distance from the nearest border to create mountains/subversion zones based on the direction of each plate and the shape of the border.

You're correct that the Supreme Court ultimately has final appellate jurisdiction on matters of immunity, but that's a long way from enabling dictatorship.

To get there, we would need to assume that the Supreme Court, including only 3 Trump-appointed Justices, is both unwaveringly partisan and unwaveringly supportive of dictatorship.

I'm no legal scholar, but sure, I'll elaborate as a layman.

During the Presidency, impeachment and judicial review are the important checks. During the transition of power, state-controlled (as in, not federally controlled) elections and Congressional certification are the important checks.

While many people are disappointed with Congress' hesitation to impeach, impeachment as an institutional protection still works as a protection against blatant disregard of the law. Congress faces the threat of re-election practically constantly, and obvious disregard of the law without impeachment is not in Congress' best interest.

Judicial review is clearly working. I don't need to recap the large number of cases that have be brought against the Trump administration this term. The administration is abiding by stays/injunctions, and the Courts are issuing opinions independently. The Supreme Court, even Trump-appointed Justices, has ruled against Trump before and will likely do it again.

State-level control of Presidential elections and Congressional accountability to the public during certification protect against the spectre of a third Trump term or end of democracy. This scenario is extremely unpopular even among Trump supporters and would be a disaster for those in Congress.

The recent Supreme Court opinion about Presidential immunity in his official capacity explicitly defers and leaves to the lower Courts to determine the precise limits of that official capacity. It is beyond belief that the entire judicial branch would collectively enable dictatorship "bEcAuSe iMmUnItY".

In the second quote, the phrases "in their official capacity" and "as the position of the United States" are doing a lot of heavy lifting.

The EO is going out of its way to broadcast that its purpose is to establish a unitary policy position of the executive branch that stems from the President, rather than having "independent" agencies providing contrary position from within "in their official capacity" "as the position of the United States." The logical leap from there to "the President's (unrestricted) opinion is the law (without reference to Congress or the Courts)" is vast.

The EO does not bear on the balance of powers between branches of government, but on the ability for the executive branch to function as a single entity within that balance, rather than a multiplicity of quasi-"independent" agencies.

The disincentives that have always prevented the executive from blatantly violating the law are still in force and unchanged. They have been functional through 250 years of Presidents testing the limits of their authority.

TikTok is perhaps the most impressively addictive gambling app ever created.

Geopolitics aside, I think everyone is kind of aware that gambling is a vice, and like it or not, this could just be the beginning of our society beginning to scrutinize these platforms.

Not really. TikTok isn't a gambling app.

A hop, skip, quack, jump, and fairly obvious high-energy distillation process away. The national security angle probably isn't a concern here for the same reason that this process doesn't produce good fuel.

The comments here are focused on how much energy it would take to turn this into fuel. The real story here is decentralized fertilizer production, buried at the end of the article:

this innovation could fundamentally reshape fertilizer manufacturing by providing a more sustainable, cost-effective alternative to centralized production

The high energy cost of Haber-Bosch, plus the additional cost of transportation from manufacturer to farmer could potentially be eliminated by distributed, passive fertilizer generators scattered around in the fields.

I'm no expert, but assuming sufficient local production, low concentration could potentially be overcome by continuous fertilization with irrigation throughout the growing season.

Let's find out. Some quick fiddling with a molarity calculator and an almanac:

-- 100 uM ammonia -> 1.7 mg / L ammonia

-- 82% nitrogen -> 1.4 mg / L nitrogen

-- My lawn needs around 1 lb / 1000 sq ft, or around 5 g / m2

-- So my lawn needs about 3500 L / m2 of fertilized irrigation total for the season

-- Ballpark farming irrigation is around 0.2 inches per day, or around 5L/m2

I would need to water my lawn about 700 days in the year, or more realistically up my irrigation rate by about a factor of 4, AND source all of the water from the fertilizer box.

I'm a little skeptical that I can allocate space for enough production and still have a lawn left to fertilize. The tech probably isn't ready for the big time on an industrial farm yet, but for research demo, this seems like a promising direction! Much more than concentrating it for fuel.

Many good ideas have been destroyed by too-rigid applications

This is an interesting perspective that I disagree with. You seem to be saying that a general misunderstanding or misapplication of a good idea degrades the idea to a point that "destroys" it.

On the contrary, I believe there is experience to be gained in practice: either the initial idea wasn't good after all, in which case we're destroying an illusion; or the poor examples serve to refine the idea by clarifying some ambiguity that, interpreted wrongly, leads to failure.

Perhaps your argument is that many people may become familiar with the bad implementations and the idea's popularity will decline, depressing demand for refined implementations. This is likely true, but reflects the tragedy of the anticommons, not a degradation in the idea itself.

This is an interesting take, the article touches on it too.

“Physicists are much less concerned than mathematicians about rigorous proofs,” says Timothy Gowers, a mathematician at the Collège de France and a Fields Medal winner. Sometimes, he says, that “allows physicists to explore mathematical terrain more quickly than mathematicians.”

GP is right that the currently observed physical laws go far beyond our ability to observe them in reality because of the cost of observations. International effort over decades is required to create facilities capable of making helpful new observations: think of LHC, LIGO, James Webb, etc.

On the other hand, once the facilities are built and ground-breaking observations appear, we suddenly have a debt of theoretical and simulated exploration to understand all their implications. The low cost of computation greatly extends the value we can take from every truly new observation of reality.

In order to observe something new, we must be able differentiate it from something already understood. It seems like the physics and math communities are currently in a season of increasing our understanding of the existing models well enough to motivate trying to break them.

Cooler screens 3 years ago

If this is real, this might be the most helpful thing I learn all day. Thanks stranger