Traffy

Shorting $Launchcoin here it's all talk and no walk imo

@rektober Yeah agree bro. Luck is always on their side.

@TraffyBRO fucking real always gets either lucky or shit goes their way, ref card at the begging and idk how many offsides by mac city, gg i guess lol, never betting again

what am I betting on here? need some ⚽️quant

@rektober Told ya Real does some vodoo shit. Missed out on 90k just cause of Arsenal

@rektober Arsenal 4-1 City 1-2 Real

@rektober Most likely yeah, hence the high odds for Real. But Real will counter with some vodoo shii

@TraffyBRO i think city wins

@diofarter Hello

what kind of name is trafalgar d water law

@LudwigAhgren Hiding from ICE

the bushes were people ????

@based16z @nikitabier @inversebrah

I’ve explained how the rules work 18 times so far.

We used a @bryan_johnson tweet to build a longevity supplement with AI agents. Bryan posted that resting heart rate might be the single most important health marker. Fair question: what would it take to build a supplement that actually moves the needle? So we gave BIOS - our new AI scientist - a single prompt derived from Bryan's post about lowering resting heart rate. What the agent did: BIOS operates in 3 modes. We ran autonomous - up to 20 iterations of literature search, analysis, and synthesis. It stopped at iteration 5 because the workflow hit a stable evidence plateau and had enough support to report back. BIOS identified a Tier 1 formulation: • Taurine: 1.5-3g/day (most trials used 3g) • Omega-3 fatty acids: 2-4g/day • CoQ10 and Magnesium as Tier 2 Each came with BPM reduction data, time-to-effect, drug interactions, and safety profiles. The kind of detail you'd want before actually testing something. Then we ran it again. Same prompt, zero changes. Second run: 6 iterations instead of 5. Slight variance in tier rankings (Omega-3 moved to Tier 1, Magnesium to Tier 2). But the core findings were nearly identical: same supplements, dosing ranges and mechanisms. The convergent outputs from identical inputs - across variable iteration counts - suggest the agent is finding real signal in the literature. After the investigation, BIOS asked: "Should I design a clinical trial for this? Calculate costs? Build a personalized protocol?" The agent can now: • Design wet-lab experiments with timelines and cost estimates • Build dosing protocols based on your specific parameters • Assess novelty potential of the formulation • Map out contraindications and drug interactions This is real-time biological coding: You write the spec (your research question), the agent writes the implementation (evidence-based experimental design). All this runs on our deep research framework, which just ranked #1 on BixBench (the @FutureHouseSF data analysis benchmark). A key feature connects the dots: persistent memory across multi-agent workflows. The literature agent, data analysis agent, and orchestration layer all share context. Each iteration builds on the last. The agent knows what it learned 3 steps ago.

"AI bot that's doing protein folding and literally coming up with cures, doing personalized medicine for cancer patients... you could have the equivalent of like a GoFundMe, but on the blockchain, for people to basically be able to pay an AI bot to cure their cancer." BIOS is built for this. It generates discoveries. Bio Launchpad funds them. Biofy brings validated treatments to patients. Discovery -> funding -> product One system.

@AzFlin Noted we won’t

i get too much engagement on my posts thus it encourages me to spend too much time on X. i am constantly distracted, checking notifications, and not being productive with my life so please, stop interacting with my posts. thanks.

@SilvXBT @inversebrah hang it on the smolchain

Shout out to my nigga Garrett for choosing to sell his BTC on a Saturday probably learned it from his cousin CZ Bin Laden

@MarcelRuschel @ToIgaFCB So muss es sein

@TraffyBRO @ToIgaFCB Auch wenn ich nichts dabei hatte, aber ja, genau so war die Kontrolle😂

Und ihr wollt mir erzählen die haben das alles in ihrem arsch versteckt ja?

AI for bio has a scaling obsession. Yesterday on stream, @SynBio1 (ex @Ginkgo, Harvard PhD) made a point that stood out while demoing BIOS, our new AI scientist. Most of the scientific AI ecosystem is chasing a familiar playbook:
build gigantic nine-figure datasets, train huge models, predict everything. Jake’s excitement was about something way more accessible. He ran BIOS on a metabolic engineering prompt and it produced a yeast program for sandalwood oil: • market pricing ($500–$2,500/kg) • techno-economic targets • a peroxisome scaffolding strategy • freedom-to-operate / IP review Then it did the important part: it produced a wetlab experiment you can actually run. Engineer 4 strains, run 120-hour fed-batch fermentations, measure output via mass spectrometry. Cost: tens of thousands of dollars. Jake’s point: human scientists learn from tiny datasets all the time. Biology advances through “touching nature in small bites” and tight feedback loops. BIOS is built for that loop.

@BillyM2k @NickOzeanVII

@NickOzeanVII well then someone needs to service the robots

if i was a zoomer i’d get out of tech and go into health care, or at least go into health care tech all the money is gonna come from aging boomers in the next 20 years who will need help doing literally anything, and demand will be incredibly high and supply will be low

@suitman @inversebrah observe

Kamala Harris would have protected black cryptocurrency investors during black history month Just saying

@radbro Underrated tweet

An asteroid was just discovered with over 2 billion bitcoins in it

@WheelerrDealerr Been there

would've saved $200,000 stabling up here. celebrated turning 34 yesterday by seeing 100k wiped off my networth yesterday! no longer 6 figs, no j*b, no irl assets, market down only, surely it can't get much worse than this lmao what a year this is shaping up to be 😂

@KonradMustDie @saylor Third time is a charm

"It's impossible!" - "you cant do it twice!", people screamed from the audience. But him, the legend, did it again. there is no second best.

2 HOURS until the live demo of BIOS, our new general-purpose AI scientist. @SynBio1 & the Bio AI team will go live with real-time biomedical research using scientific agents. See how researchers are using BIOS to run investigations. RSVP now ↓