<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: alevskaya</title><link>https://news.ycombinator.com/user?id=alevskaya</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Fri, 30 Oct 2026 06:04:33 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=alevskaya" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by alevskaya in "Burning Man death rates – A short lesson in statistics"]]></title><description><![CDATA[
<p>It is definitely not the first time.  Years ago while doing a ranger shift my friend witnessed a young person fall to their death while climbing a structure.  I remember another incident of someone jumping off a dome while psychotic that I suspect was fatal.  You need to be sober and capable to climb sketchy stuff.</p>
]]></description><pubDate>Wed, 30 Sep 2026 18:05:58 +0000</pubDate><link>https://news.ycombinator.com/item?id=49912315</link><dc:creator>alevskaya</dc:creator><comments>https://news.ycombinator.com/item?id=49912315</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49912315</guid></item><item><title><![CDATA[New comment by alevskaya in "I'm sorry, you're not going to die from an AI-engineered supervirus"]]></title><description><![CDATA[
<p>"they can be small molecules that inactivate essential molecular targets in humans" - aka a poison.  I mean we deal with the reality of poisons plenty fine right?  This isn't x-risk stuff.<p>I was an experimental synbio person for decades, and I did plenty of microbial pathogen work.  I've also worked on frontier LLMs for the last decade.  All of this stuff is gated by experimental effort, not AI!</p>
]]></description><pubDate>Thu, 10 Sep 2026 03:07:14 +0000</pubDate><link>https://news.ycombinator.com/item?id=49637886</link><dc:creator>alevskaya</dc:creator><comments>https://news.ycombinator.com/item?id=49637886</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49637886</guid></item><item><title><![CDATA[New comment by alevskaya in "I'm sorry, you're not going to die from an AI-engineered supervirus"]]></title><description><![CDATA[
<p>Because fatality and virulence stand in fundamental tension with each other when it comes to epidemiology.  You can't magic that tension away or just invent other incompatible properties of a hypothetical virus (stealth, latency, virulence, fatality, etc etc etc) just because you want to tell a ghost story.  Biology: (immunology, cell biology, virology) impose constraints!</p>
]]></description><pubDate>Thu, 10 Sep 2026 03:03:46 +0000</pubDate><link>https://news.ycombinator.com/item?id=49637867</link><dc:creator>alevskaya</dc:creator><comments>https://news.ycombinator.com/item?id=49637867</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49637867</guid></item><item><title><![CDATA[New comment by alevskaya in "I'm sorry, you're not going to die from an AI-engineered supervirus"]]></title><description><![CDATA[
<p>I worked in immuno-oncology: cancer vaccines work in melanoma where many things work because of the neoantigen abundance, they've generally been very mixed in efficacy.  And even BionTech's BNT111 failed in melanoma!  We have hope for these approaches but the reality of this stuff is way more nuanced than you think it is.<p>Alphafold can't reliably predict thermal energy landscapes or make functional predictions - and how could it?  It wasn't trained on anything that could capture structure - function relationships.<p>Again, most people just have no idea how hard - fundamentally hard - molecular physics is to predict, and how necessary experiments are for any development of biological systems.</p>
]]></description><pubDate>Thu, 10 Sep 2026 02:49:43 +0000</pubDate><link>https://news.ycombinator.com/item?id=49637764</link><dc:creator>alevskaya</dc:creator><comments>https://news.ycombinator.com/item?id=49637764</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49637764</guid></item><item><title><![CDATA[New comment by alevskaya in "I'm sorry, you're not going to die from an AI-engineered supervirus"]]></title><description><![CDATA[
<p>You can read up on the synthesis of sarin on wikipedia.</p>
]]></description><pubDate>Thu, 10 Sep 2026 02:00:27 +0000</pubDate><link>https://news.ycombinator.com/item?id=49637399</link><dc:creator>alevskaya</dc:creator><comments>https://news.ycombinator.com/item?id=49637399</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49637399</guid></item><item><title><![CDATA[New comment by alevskaya in "I'm sorry, you're not going to die from an AI-engineered supervirus"]]></title><description><![CDATA[
<p>I was a biophysicist and experimental biologist for decades, I designed viral vectors and cell therapies, etc.  What protects us here isn't our ignorance vs an "ASI".<p>It's the fact that the complexity of molecular physics scales exponentially in particle number.  No amount of thinking is going to punch through that.  You've got to do experiments.  The slow loop through reality is not optional, and in the case of "superviruses" would require a lot of iterative experimental development in humans.<p>(And please knock off the bio infohazard act - I routinely get asked about scenarios that AIxBio safety people cook up and they always involve some howler misunderstanding of basic facts in biology or medicine.  Just talk about an idea if you have it.)</p>
]]></description><pubDate>Thu, 10 Sep 2026 01:55:14 +0000</pubDate><link>https://news.ycombinator.com/item?id=49637371</link><dc:creator>alevskaya</dc:creator><comments>https://news.ycombinator.com/item?id=49637371</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49637371</guid></item><item><title><![CDATA[New comment by alevskaya in "Our position on open-weights models"]]></title><description><![CDATA[
<p>I was a genetic engineer for ~20 years and have worked on frontier LLMs for the last 8.  I used to engineer viral vectors and studied how to evade human immune systems for gene therapies...<p>The biorisk scenarios that the AI safety folks flog are fever-dreamed fantasies that have only the most tenuous connection to biological reality.  As someone who cares about the real bio-risks of natural pathogens, I get pretty tired of fear-based marketing pretending that AI is a bigger threat than, say, animal agriculture.</p>
]]></description><pubDate>Tue, 28 Jul 2026 05:10:09 +0000</pubDate><link>https://news.ycombinator.com/item?id=49079621</link><dc:creator>alevskaya</dc:creator><comments>https://news.ycombinator.com/item?id=49079621</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49079621</guid></item><item><title><![CDATA[New comment by alevskaya in "Touching the Elephant – TPUs"]]></title><description><![CDATA[
<p>I do think it's a lot simpler than the problem Itanium was trying to solve.  Neural nets are just way more regular in nature, even with block sparsity, compared to generic consumer pointer-hopping code.  I wouldn't call it "easy", but we've found that writing performant NN kernels for a VLIW architecture chip is in practice a lot more straightforward than other architectures.<p>JAX/XLA does offer some really nice tools for doing automated sharding of models across devices, but for really large performance-optimized models we often handle the comms stuff manually, similar in spirit to MPI.</p>
]]></description><pubDate>Sat, 06 Dec 2025 18:54:39 +0000</pubDate><link>https://news.ycombinator.com/item?id=46175668</link><dc:creator>alevskaya</dc:creator><comments>https://news.ycombinator.com/item?id=46175668</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46175668</guid></item><item><title><![CDATA[New comment by alevskaya in "How to scale your model: A systems view of LLMs on TPUs"]]></title><description><![CDATA[
<p>Nothing fancy.  I made these with some pretty simple hand written scripts in javascript rendering to canvas: lots of fiddly little boxes moving around are simpler to script than to hand animate.  (If I were to do much more of this I might rewrite these in blender since it has much nicer authoring tooling and export control.)</p>
]]></description><pubDate>Tue, 04 Feb 2025 21:46:47 +0000</pubDate><link>https://news.ycombinator.com/item?id=42939308</link><dc:creator>alevskaya</dc:creator><comments>https://news.ycombinator.com/item?id=42939308</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42939308</guid></item><item><title><![CDATA[New comment by alevskaya in "Brain Uses Quantum Effects, New Study Finds [video]"]]></title><description><![CDATA[
<p>Quantum mechanics is needed to explain any microscopic phenomena in chemistry and biology - that is not at all in dispute.<p>The odd set of claims is that somehow biology has 1) figured out how to preserve long-range entanglement and coherent states at 300K in a solvated environment  when we struggle to do so in cold vacuum for quantum computing and 2) somehow still manages to selectively couple this to the -known- neuronal computational processes that are experimentally proven to be essential to thought and consciousness.<p>This more or less amounts to assertions that "biology is magic" without any substantive experimental evidence over the last thirty years that any of the above is actually happening.  That's why most biophysicists and neuroscientists don't take it at all seriously.</p>
]]></description><pubDate>Sun, 12 May 2024 22:06:19 +0000</pubDate><link>https://news.ycombinator.com/item?id=40337938</link><dc:creator>alevskaya</dc:creator><comments>https://news.ycombinator.com/item?id=40337938</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40337938</guid></item><item><title><![CDATA[New comment by alevskaya in "Brain Uses Quantum Effects, New Study Finds [video]"]]></title><description><![CDATA[
<p>This referenced paper seems like primarily a theoretical modelling paper (almost all of its figures are simulations?) that contains as far as I can read 3 (!) actual experimental measurements in bulk on a fluorospectrophotometer.  The claim is that the observed increased fluorescent quantum yield (QY) of microtubules over tubulin can be explained by the ideas in their simulations.<p>It's hard to buy that their proposed stories are the simplest explanation for these few measurements.  Much more boring phenomena can influence QY. e.g. simply occluding fluorophores from the bulk solvent can have a huge influence on QY and spectra.  (I used to design biological fluorescent reporter reagents...)</p>
]]></description><pubDate>Sun, 12 May 2024 19:56:59 +0000</pubDate><link>https://news.ycombinator.com/item?id=40337110</link><dc:creator>alevskaya</dc:creator><comments>https://news.ycombinator.com/item?id=40337110</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40337110</guid></item><item><title><![CDATA[New comment by alevskaya in "Ultraviolet Superradiance from Networks of Tryptophan in Biological Systems"]]></title><description><![CDATA[
<p>This seems like a theoretical modelling paper (all of its figures are simulations?) that contains as far as I can read 3 (!) actual experimental measurements in bulk on a fluorospectrophotometer.  The claim is that the increased fluorescent quantum yield (QY) of microtubules over tubulin can be explained by the ideas in their simulations.<p>It's hard to buy that their proposed stories are the simplest explanation for these few measurements.  Much more boring phenomena can influence QY. e.g. simply occluding fluorophores from the bulk solvent can have a huge influence on QY.</p>
]]></description><pubDate>Sun, 12 May 2024 19:47:44 +0000</pubDate><link>https://news.ycombinator.com/item?id=40337020</link><dc:creator>alevskaya</dc:creator><comments>https://news.ycombinator.com/item?id=40337020</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=40337020</guid></item><item><title><![CDATA[New comment by alevskaya in "How is AI impacting science?"]]></title><description><![CDATA[
<p>The static shape of a protein doesn't automatically give you a prediction of its functional properties.  There's a hell of a lot more biophysics going on that we have no predictive models for that are needed to understand catalysis, allostery, assembly, etc etc etc.  We don't even have good comprehensive data for any of that (compared to sequences or structure) to model with.<p>Fold prediction is an incredibly useful tool for scientists and genetic engineers to help design new proteins, but it doesn't magically solve molecular or cell biology.  Designing new functions and mechanisms is still going to involve a huge amount of labor and brute-force experimentation.</p>
]]></description><pubDate>Sat, 30 Dec 2023 12:27:31 +0000</pubDate><link>https://news.ycombinator.com/item?id=38814774</link><dc:creator>alevskaya</dc:creator><comments>https://news.ycombinator.com/item?id=38814774</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=38814774</guid></item><item><title><![CDATA[New comment by alevskaya in "Attention Is Off By One"]]></title><description><![CDATA[
<p>Yeah we used to use this in our older models years ago... I don't recall the details exactly, but I don't think it ever did very much.<p>I certainly don't think it will help at all with stability.  Things like Q/K layernorm are better tricks for softmax stability when scaling: <a href="https://arxiv.org/pdf/2302.05442.pdf" rel="nofollow noreferrer">https://arxiv.org/pdf/2302.05442.pdf</a></p>
]]></description><pubDate>Mon, 24 Jul 2023 21:41:45 +0000</pubDate><link>https://news.ycombinator.com/item?id=36854613</link><dc:creator>alevskaya</dc:creator><comments>https://news.ycombinator.com/item?id=36854613</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=36854613</guid></item><item><title><![CDATA[New comment by alevskaya in "Lab leak most likely origin of Covid-19 pandemic, U.S. agency now says"]]></title><description><![CDATA[
<p>This is a dumb argument. Sick animals were probably culled immediately by the farms to avoid getting blamed.<p>As a 2-decade genetic engineer: there are no genetic "markers" pointing to a lab leak, there's really no sign of unnatural manipulation in the sequence.</p>
]]></description><pubDate>Sun, 26 Feb 2023 21:50:44 +0000</pubDate><link>https://news.ycombinator.com/item?id=34949891</link><dc:creator>alevskaya</dc:creator><comments>https://news.ycombinator.com/item?id=34949891</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=34949891</guid></item><item><title><![CDATA[New comment by alevskaya in "A new paper claims SARS-CoV-2 bears signs of genetic engineering"]]></title><description><![CDATA[
<p>You don't need access to a proprietary database to refute that sars-cov-2 wasn't copy-pasted at these restriction sites.  We have public sequences of the closely related coronavirus strains.  The unnatural SNP pattern would be absolutely obvious if someone patched together different lineages around these specific conserved RE sites.  Instead we see a set of conserved RE sites related across the publicly known strains by homologous recombination.<p>What I've tried repeatedly to impress upon people here is that most routine cloning strategies leave pretty clear signatures, and the idea that a lab would go so far as to eliminate these signatures for such mundane virology work is tantamount to a much more elaborate conspiracy theory.</p>
]]></description><pubDate>Sun, 23 Oct 2022 06:10:10 +0000</pubDate><link>https://news.ycombinator.com/item?id=33304956</link><dc:creator>alevskaya</dc:creator><comments>https://news.ycombinator.com/item?id=33304956</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=33304956</guid></item><item><title><![CDATA[New comment by alevskaya in "A new paper claims SARS-CoV-2 bears signs of genetic engineering"]]></title><description><![CDATA[
<p>I'm pretty tired of debating people who don't know biology here.  Using seamless cloning methods is super common - but they don't work like the paper authors suggest they do.  I misspent my youth doing reactions and workflows like these for over two decades.<p>What they're observing is homologous recombination between strains - all the sites they're claiming are found in nature.<p>Again - there would be a genetic signal the strength of the noonday sun burning your eyes out if sars-cov-2 was made by cut-and-paste at these sites.  You wouldn't need this ridiculous circular argumentation to prove that point.<p>If we're linking to tweets, these two go into great depth about how ridiculous this paper is:
<a href="https://twitter.com/Friedemann1/status/1583519970902048768" rel="nofollow">https://twitter.com/Friedemann1/status/1583519970902048768</a>
<a href="https://twitter.com/acritschristoph/status/1583486403416969216" rel="nofollow">https://twitter.com/acritschristoph/status/15834864034169692...</a></p>
]]></description><pubDate>Sun, 23 Oct 2022 04:57:08 +0000</pubDate><link>https://news.ycombinator.com/item?id=33304673</link><dc:creator>alevskaya</dc:creator><comments>https://news.ycombinator.com/item?id=33304673</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=33304673</guid></item><item><title><![CDATA[New comment by alevskaya in "A new paper claims SARS-CoV-2 bears signs of genetic engineering"]]></title><description><![CDATA[
<p>As someone who was a genetic engineer for a long while, watching HN talk about dodgy papers like this is painful.<p>This paper posits a completely crazy cloning strategy that makes no sense (ie doing something far more convoluted than typical bsaI/bsmbi seamless cloning workflows that breaks the whole point of "seamless" workflows), and then tries to use that to make a case for a genomic signature that we could look for.  They then look at a handpicked set of viral genomes, but leave a bunch out and duplicate others (I think WIV04 and WHu are the same), and largely seem to be observing without realizing it that yes, recombination occurs among these viral lineages.<p>This isn't even getting into the fact that a restriction-ligation based cloning strategy would leave <i>glaringly</i> obvious fingerprints behind in the form of the hundreds of nucleotide differences that are present outside the cutsites across the lineages... it would be blindingly obvious if someone just cut-and-pasted sars-cov-2 from other studied genomes.</p>
]]></description><pubDate>Sun, 23 Oct 2022 04:34:04 +0000</pubDate><link>https://news.ycombinator.com/item?id=33304594</link><dc:creator>alevskaya</dc:creator><comments>https://news.ycombinator.com/item?id=33304594</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=33304594</guid></item><item><title><![CDATA[New comment by alevskaya in "On AlphaTensor’s new matrix multiplication algorithms"]]></title><description><![CDATA[
<p>There's a big difference between not caring about stability, and being willing to trade precision for better memory bandwidth for an application that doesn't benefit from increased precision.  When doing large training jobs on TPUs, stability is paramount!  It's true that you have to know more about what you're doing when you reduce bit-depth - the horrors of floating point are harder to ignore, and it's wildly inappropriate for many scientific computations.  However the reduction of bit-depth is likely to continue as we seek to make modern models more efficient and economical to train and use.</p>
]]></description><pubDate>Fri, 07 Oct 2022 07:05:47 +0000</pubDate><link>https://news.ycombinator.com/item?id=33118268</link><dc:creator>alevskaya</dc:creator><comments>https://news.ycombinator.com/item?id=33118268</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=33118268</guid></item><item><title><![CDATA[TensorStore for High-Performance, Scalable Array Storage]]></title><description><![CDATA[
<p>Article URL: <a href="https://ai.googleblog.com/2022/09/tensorstore-for-high-performance.html">https://ai.googleblog.com/2022/09/tensorstore-for-high-performance.html</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=32946389">https://news.ycombinator.com/item?id=32946389</a></p>
<p>Points: 13</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 23 Sep 2022 00:21:40 +0000</pubDate><link>https://ai.googleblog.com/2022/09/tensorstore-for-high-performance.html</link><dc:creator>alevskaya</dc:creator><comments>https://news.ycombinator.com/item?id=32946389</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=32946389</guid></item></channel></rss>