Work @PromptQL (@HasuraHQ) OSS Contributor. I have a Postgres tattoo 🐘🎨 🔬🧪🧬Passion for Molecular Bio, Health, Fitness, Longevity 💪Aspiring Bodybuilder

Seattle, WA
Joined June 2018
Pretty cool 👀
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I just experienced something novel with LLM's I've never seen before: For a single word, Gemini Argon 4 invented a term by combining a different language root with an English suffix: > "банаl", from common Slavic "бана"-root with a Latin "l" suffix, for "banal"
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Gavin Ray retweeted
Today we’re launching something for the era where every AI logo looks like a butthole, ❌ Bots ❌ Dots ✅ Pots Supports all models. Except Muse, obv.
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Gavin Ray retweeted
What if, for any scientific claim, you can search 100M+ papers to find the strongest evidence for and against it ⚡️in 1 second? That’s now possible with Evidence API! 🚀 paperclip.gxl.ai/evidence-ap… For example, does drinking coffee reduce diabetes risk?
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Excuse me: > "we screened millions of pathway combinations to engineer essential amino acid biosynthesis, achieving near-wild-type growth without valine and enabling isoleucine-free growth" They took the "essential" out of "essential amino acid" 🤯
Highly multiplexed mammalian metabolic engineering with a shotgun approach - @sudpinglay @JefBoeke nature.com/articles/s41587-0…
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Gavin Ray retweeted
Replying to @WSJ
If MDMA could help someone with PTSD from war, rape or other horrific experiences, then it would be wrong to withhold such a drug from them
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~750lbs x 8 reps
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Bring back Opus 4.6, I think they deleted Claude's soul after this release...
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As shown in our recent study, good gains in muscle strength and size can be achieved with as little as ~1 hour of resistance training per week, provided sets are performed with a high level of effort (close to failure). For most of the general population, this can be sufficient to achieve their strength and muscle-building goals. The key is simply to get to the gym, train hard and be consistent 💪 pubmed.ncbi.nlm.nih.gov/4024…
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Imagine effortlessly gaining deeper insights into your nighttime recovery 💤 A new feature, arriving this fall on Pixel Watch, will track your sleep breathing quality, helping you understand how your body rests. No wires, no sleep study needed. goo.gle/4q8zDbM
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TIL: You can append ".diff" to a Github PR URL to download the changes as a diff file 🤯 Super useful for copy-pasting as LLM context when the PR is not in the conversation history
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Gavin Ray retweeted
Photos & video were how the last generation expressed themselves. Today’s form of expression is software. Who will create the next viral game or app that plays right inside of the X Timeline? Try the new Grok app builder.
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Replying to @GavinRayDev
Yep. To that point, my dissertation research investigated a bodybuilding style workout (3 x 10) vs a powerlifting style workout (7 x 3). By the end of the 8-week intervention, the powerlifting group was pretty spent and had nagging injuries while the BB group was well-recovered. The vast majority of studies use a moderate rep range so it's basically a default when discussing the topic pubmed.ncbi.nlm.nih.gov/2471…
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Anyone else using CGM's to try to correlate energy levels during the day to blood sugar levels?
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Gavin Ray retweeted
A new review paper highlights something that’s becoming harder to ignore: GLP-1 receptor agonists appear to have meaningful anti-inflammatory effects that even extend well beyond weight loss. In chronic inflammatory and autoimmune skin conditions like psoriasis, hidradenitis suppurativa, and atopic dermatitis, clinicians are reporting improvements in disease activity - sometimes even before significant weight loss occurs. The mechanisms seem to involve direct effects on immune cell activity, keratinocyte function, and inflammatory signaling pathways. GLP-1 medications could end up being viewed as some of the most broadly anti-inflammatory drugs we’ve seen in clinical practice. Full paper here: mdpi.com/1999-4923/18/5/605
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Gavin Ray retweeted
Bio databases/APIs weren't designed for AI agents🧬 So we expanded #Paperclip to transform common molecular databases—UniProt, PDB, ChEMBL—into a unified agent-native virtual filesystem. Now you can do deep research across 10^6 molecules much more accurately and 10x faster! All integrated with millions of full-text papers also indexed in Paperclip. Free to use gxl.ai/blog/adding-biology-d…
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Research indicates that short inter-set rest intervals (≤60 seconds) can compromise muscle hypertrophy, while resting longer than ~90–120 seconds does not seem to further enhance muscle growth. In practice, however, most people regulate their rest intervals subjectively instead of timing them. How does this affect muscle development? Interestingly, no previous study investigated the topic. Until now... Led by my doctoral student @ae.mohan, we randomized resistance-trained men and women to an 8-week lower-body resistance training program using either a fixed 2–3-minute inter-set rest interval or a self-selected rest condition in which participants initiated each subsequent set when they felt ready (just preprinted on SportRxiv: sportrxiv.org/index.php/serv…). To ensure that self-selected rest intervals reflected perceived recovery rather than external distractions, participants were not permitted to use mobile devices or converse with others during training sessions. After 8-weeks, both groups achieved similar gains in muscle hypertrophy, strength, and local muscular endurance. However, the fixed-rest group completed their workouts in 29% less time than the self-selected group (average rest intervals: 2.4 vs. 3.7 minutes, respectively). That’s particularly striking because we didn’t allow participants to talk or use their phones. In a real-world gym environment, those distractions would almost certainly make self-selected rest periods even longer. Couple of takeaways. First, these findings reinforce the idea that resting longer than about 2 minutes between sets doesn’t appear to provide any additional muscle-building benefit. Second, for those who are short on time, actively timing rest intervals seems to be a practical strategy. Given that lack of time is consistently cited as the leading barrier to exercise participation, simply setting a timer between sets may help improve workout efficiency—and ultimately, adherence to resistance training. As always, a huge shout-out to my graduate students for bringing this research to fruition. Their dedication and hard work are the driving force behind our productivity 💪
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