GL @DNA2FUNCTION
I like making things. DNA is usually involved. Joined January 2021-
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High-content screening datasets are integrated within a shared latent space, enabling cross-dataset predictions nature.com/articles/s4158… rdcu.be/fmbnK
@InVitroFuture @p_maverick_b @baym These restrictions show the deciders have never set foot in a biolab. Even simple things often don't work, and engineering and *testing* a pathogen is very far from simple. It's not like vibe coding, guys.
To be clear, even the state-of-the-art lab was unable to create viable new viruses that were further than a handful of point mutations away (>95% identical, mostly synonymous). The idea that these models are near creating new pathogens is nothing but science fiction
@InVitroFuture @p_maverick_b @baym These restrictions show the deciders have never set foot in a biolab. Even simple things often don't work, and engineering and *testing* a pathogen is very far from simple. It's not like vibe coding, guys.
@ATinyGreenCell Hard-mode is the path to easy-mode.
@SynBio1 @heyjudka @WillCoxeCanine On that we can agree.
@SynBio1 @heyjudka @WillCoxeCanine I'm not making value judgements. I want them, and all synbio efforts, to win. My aim is to provide awareness of what drives tough market dynamics.
@WillCoxeCanine @heyjudka @SynBio1 The version of what I think you are saying I would agree with: if the end-to-end cost from idea inception to customer purchase was cut to 10%, then we could 10X output. But in the marketplace of bio-opportunities, the optimal strategy for points to pharma.
@SynBio1 @heyjudka @WillCoxeCanine But it IS a deeptech R&D play. It's just aimed at a commodity market. It's the worst of both worlds: high technical risk & low market upside. Most VCs comparing these opportunities will see the math and go for the 1000X higher upside.
@WillCoxeCanine @heyjudka @SynBio1 Cost to do the science, production, regulatory stuff isn't the only cost that matters. Opportunity cost is the big one. Spending VC $, time, energy, lab space on crappy techno-economic opportunities is resourcing NOT spent on much better pharma economics.
@SynBio1 @heyjudka @WillCoxeCanine Why invest in cooking oil worth $1-5/kg-ish when you could invest in biologics/APIs $1M-100B/kg?
@heyjudka @SynBio1 @WillCoxeCanine Cost to discover, cost to produce, cost of regulation, and market's willingness to pay must be considered together. Blaming a single element results in an incomplete description of market dynamics / techno-economics that make pharma the obvious answer.
NEW: malware developers added nuclear & biological weapons text to to their spyware. Goal? To trigger LLM safety refusals... so that their spyware wouldn't be analyzed by an AI security scanner. Cleanest practical example I can think of for why over-indexing on first order safety alignment is risky. When closed (and open) models ship with aggressive refusals, they will be sprinkled with second-order blindspots that attackers will discover...and exploit. We are only in the earliest days of attackers leveraging these features, and it wouldn't surprise me if users systems that need to handle complex cybersecurity issues demand that models be less safety-blunted. In the weeds: @SocketSecurity's post also shows why intention matters in how you design a malware analysis pipeline to avoid prompt manipulation. H/T to colleagues that shared this with me socket.dev/blog/mini-shai…
@heyjudka @thisischristina That's why pharma is essentially the only market for engineered bio-products. High prices + huge markets offset tech risk + dev cost.
@curiouswavefn It feels like the perfect PR move. Claim you have the most powerful AI, backed by internal benchmarks. Then prevent contradicting evidence from emerging on "safety" grounds.
@deanwball "It's not <something you didn't say>. It's <also something you didn't say>."
China's monthly trade surplus is back over $100b -- which is a remarkable number for an importer of crude and chips amid a price shock to oil and semis. But want to start my analysis with cars -- and China's remarkable export boom 1/
🇺🇦🇹🇷 Opinion in The New York Times: Turkey is increasingly helping Ukraine to strengthen ties in the Middle East, and after the fall of the Assad regime in Syria, it is strengthening its own influence in the region. Ankara is no longer balancing between Moscow and NATO, but is gradually leaning towards Kyiv.
Ukraine in particular has done extraordinary things, tens of thousands of units per month even if you only count in-country production.
Yes. Defenders of free enterprise, including Franklin D. Roosevelt, called it "free enterprise" in the early 20th century. We should go back to that.
According to a 2025 Gallup poll, 54% of Americans have a positive view of capitalism, compared to 42% negative (+12). However, if you ask about "free enterprise", the public is 81% positive and 15% negative (+66). Maybe we should just all call it free enterprise from now on?
Russell Sean @RussellQuantum
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willcoxecanine @WillCoxeCanine
9 Followers 189 Following co-founder of Opentrons, forever striving to unleash biotech as a force for good.
Laura @higgins_laura87
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tycomp (Train Your Co... @train_computer
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Oh Cammy 💌 @DeborahLew15020
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the Piquemal Group @PiquemalGroup
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Laboratoire de Chimie... @LCT_UMR7616
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VSC @VSCPR
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kache @yacineMTB
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La Sagrada Família @sagradafamilia
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Tom Knight -- e/🦀�... @TomKnightSynBio
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Lior Pachter @lpachter
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Patrick Boyle — e/�... @p_maverick_b
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Omar Sanseviero @osanseviero
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elie @eliebakouch
18K Followers 4K Following training llm @PrimeIntellect (prev: @huggingface) anon feedback: https://t.co/JmMh7Sg3mL
Ryan Shea @ryaneshea
30K Followers 4K Following Experiments in AI & bio: https://t.co/JbiVsGfyFQ + autofoundry. Co-founder @Stacks. Investor: 10+ unicorns. Princeton MechE/CS. NJ Math League State Champion.
willcoxecanine @WillCoxeCanine
9 Followers 189 Following co-founder of Opentrons, forever striving to unleash biotech as a force for good.
Christina Agapakis @thisischristina
13K Followers 2K Following “If chaotic good was a biologist” 🧬🦠🧫🌱🥩🌽🦀🐉 working wherever biology, technology, and people collide at https://t.co/IJdNoFq1mI and @americanwetware
Anshul Kundaje @anshulkundaje
31K Followers 3K Following Federally funded academic research is the innovation engine of the US economy. Reform is welcome. Destruction will have long term consequences.
Hannu Rajaniemi @hannu
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32K Followers 5K Following Associate Professor CS/stats UC Berkeley. Former Research Scientist at Google DeepMind. ML/AI Researcher working on LLMs and deep learning. PhD at Stanford.
MAKS 26 🇺🇦👀 @Maks_NAFO_FELLA
335K Followers 7K Following ☕️ https://t.co/lxtbRwUkm3 🇺🇦PayPal: [email protected] 👀 https://t.co/rMYZMXeCTf
Ashley Hall (Taylor's... @LadyNaturalist
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GAMA Miguel Angel �... @miangoar
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ICML Conference @icmlconf
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