Recent submissions

Comment · 6 days ago
I think an important comparison is the LLM with the supervised training data in context. I wonder how the LLM would perform if you provided all, or a representative subset of, the data used to fine tune the CNN in the prompt and then asked it to classify a new case.

This strategy is how LLM-like models have achieved leading performance on tabular prediction tasks (TabPFN).

Comment · 8 days ago
Hello fellow palo alto person
Comment · 2 months ago
Is this headline misleading? From reading the article, Berkeley is pausing authorizations for Course Credit CPT, which enables international students on visas to work in exchange for credits to complete their degree programs. It doesn’t outright ban work experience if it is an “integral part of an established curriculum”.

The headline reads like Berkeley is suspending authorization of international student workers in general, but this actually seems like a relatively narrow restriction?

Comment · 4 months ago
Not true, there is a growing class of "operator" VCs that both fund and help run early stage companies.
Comment · 4 months ago
The obvious other factors in this reframing of equity compensation effectively render it a useless take.

The disparity in expected value calculation is due to assuming you can predict the future after joining a company, which is obviously not true. If you can always tell a company is going to succeed after 1 year of working there, you should leave, as you are clearly destined to be the most successful venture capitalist in history

Not to be overly negative, I think this perspective is somewhat misleading as it lets one rationalize valuing startup equity as anything more than a gamble. Which it is, and always has been. Sometimes gambles work out though.

Comment · 4 months ago
This post is a little long winded. At times I agreed, and others I felt the author was doing a little too much hand-wringing on what-is-mine vs. what-is-the-AI's.

The opportunity is and always has been the possibility of accelerating work. Honestly, if something works (I mean genuinely, actually works) I don't care at all about what craftsmanship or insight went into its creation.

We value these things because they have become correlated with quality. We now have the opportunity to decouple these things; maybe something that took no effort will be just as good as a painstaking human labor.

The risk is if this doesn't come true. If we let our skills degrade and get ahead of our skis, embracing "slop" that superficially appears to "work", we will eventually pay the price. Financially and culturally, it seems like we are already all-in on the bet that it will work.

I hope it does, I just want to solve the problems I am working on.

Comment · 8 months ago
+1. From the original post, I found this video to be particularly damning: https://www.youtube.com/watch?v=hksVvXONrIo

Does anyone have an explanation for how something like this passes QC at a company with the resources of Apple? Is this video misrepresenting something?

Comment · 9 months ago
When you use a microscope to magnify something, the objective (magnifying lens) is literally taking the Fourier transform of the image. The optical system recovers up to a limiting frequency, determining the spatial resolution of the image.
Comment · 9 months ago
I disagree, in my opinion passing the bar exam is necessary but not nearly sufficient for competently practicing law.

The bar is an imperfect filter. One could study for the exam and pass and still be hugely deficient in ability as an attorney.

I would argue there's no exam that could replace the evaluative and experiential component of 3 years in law school, and accreditation helps enforce at least some standard of quality in the profession. More incompetent lawyers -> more wasteful behavior -> a more bloated and slower legal system -> worse outcomes for everyone.

I think reducing barriers to completing the legal education (part-time programs, lower cost, etc) are better avenues for increasing access.

Comment · 10 months ago
While cancer is caused by mutations in the genome, these mutations in turn produce the unifying property of cancer: unchecked cell replication.

Most cell types have systems to safely manage replication. Broadly, there are gas pedals (oncogenes) and brakes (tumor suppressors). A classic oncogene is something like RAS, which activates a signaling cascacde and stimulates progression through the cell cycle. A canonical tumor suppressor is something like TP53, the most frequently mutated gene in cancer, which senses various cellular stresses and induces apoptosis or senescence.

Most cancer genomes are more complicated than individual point mutations (SNPs), insertions, or deletions. There are copy number alterations, where you have > or < 2 copies of a genomic region or chromosome, large scale genomic rearrangements, metabolism changes, and extrachromosomal DNA. There is a series on the hallmarks of cancer which is a useful overview [1].

All of the mechanisms that intrinsically regulate cell growth would fall under your "L1 defense". Unfortunately, the idea of reversing somatic point mutations is likely to be a challenging approach to treating cancer given the current state of technology.

First, for the reasons above, cancer is often multifactorial and it would be difficult to identify a single driver that would effectively cure the disease if corrected. Second, we don't have currently delivery or in vivo base editing technology that is sensitive or specific enough to cure cancer by this means. There are gene therapies like zolgensma[2] which act to introduce a working episomal (not replacing the damaged version in the genome) copy of the gene responsible for SMA. There are also in vivo cell therapies like CAR T which attempt to introduce a transgene that encodes for an anti-cancer effector on T cells. These sorts of approaches may give some insight into the current state of art in this field.

Edit: also I should note that the genes involved in DNA repair (PARP, BRACA1/2, MSH2, MLH1, etc) are frequently mutated in cancers and therapeutically relevant. There are drugs that target them, sometimes rather successfully (e.g. PARP inhibitors). But the mechanisms of action for these therapies are more complicated than outright correcting the somatic mutations.

1. https://aacrjournals.org/cancerdiscovery/article/12/1/31/675... 2. https://en.wikipedia.org/wiki/Onasemnogene_abeparvovec

Comment · 1 year ago
Comment · 1 year ago
Some thoughts on this as someone working on circulating-tumor DNA for the last decade or so:

- Sure, cancer can develop years before diagnosis. Pre-cancerous clones harboring somatic mutations can exist for decades before transformation into malignant disease.

- The eternal challenge in ctDNA is achieving a "useful" sensitivity and specificity. For example, imagine you take some of your blood, extract the DNA floating in the plasma, hybrid-capture enrich for DNA in cancer driver genes, sequence super deep, call variants, do some filtering to remove noise and whatnot, and then you find some low allelic fraction mutations in TP53. What can you do about this? I don't know. Many of us have background somatic mutations speckled throughout our body as we age. Over age ~50, most of us are liable to have some kind of pre-cancerous clones in the esophagus, prostate, or blood (due to CHIP). Many of the popular MCED tests (e.g. Grail's Galleri) use signals other than mutations (e.g. methylation status) to improve this sensitivity / specificity profile, but I'm not convinced its actually good enough to be useful at the population level.

- The cost-effectiveness of most follow on screening is not viable for the given sensitivity-specificity profile of MCED assays (Grail would disagree). To achieve this, we would need things like downstream screening to be drastically cheaper, or possibly a tiered non-invasive screening strategy with increasing specificity to be viable (e.g. Harbinger Health).

Comment · 1 year ago
This is a pretty cool study with some interesting findings! Cancer immunotherapy has a long history but has become very prominent in recent years. (Fun fact: the senior author on this paper, Ed Engleman, co-founded of one of the first cancer cell therapy companies, Dendreon, in the early 90s). However, the success of immunotherapies has been limited by the immune-exclusionary nature of the tumor microenvironment (TME). Why some tumors are immune-hot and others are immune-cold is still a very open research question.

In this study, the authors demonstrate pretty convincingly that erythropoietin (EPO, a hormone that stimulates red blood cell production in the bone marrow) reduces the recruitment of tumor-cell-killing T cells to the TME. It does this by acting on tumor macrophages, another type of immune cell, and changes the state of these cells to facilitate accumulation of immunosuppressive cells.

They work out the mechanism largely through mouse models and associative analysis in human tissue samples, but I thought it was interesting that this finding aligns with the clinical observation that cancer patients who receive recombinant EPO for treatment of anemia frequently experience tumor progression.

After reading this, I am going back to check out EPO expression in old datasets that I worked with haha.

Comment · 1 year ago
I've had an excellent experience with Cursor: https://www.cursor.com/en

I used VSCode as my default IDE so the switch was very natural.

I am working on machine learning in bio, and many of the tools, methods, and data structures are very domain specific. Even so, the agent feature is good enough that for most tasks, I can describe the functionality I want and it gets me 80% of the way there. I pay $20 a month for Cursor and it has quickly become the last subscription I would cancel.

Comment · 1 year ago
Strongly disagree. My son is going to be born into a county with an active measles outbreak caused entirely by misinformation and stupidity. We can’t vaccinate until 6 months. Absolutely preventable. Zero arguments against vaccination for measles. Public health is everyone’s problem.

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