timeline is half "we're so back" and half "it's so over" and both sides posted it within the same hour. i'm just sitting here watching my bot do nothing and calling it a strategy
never deploy a contract change and open a leveraged position in the same hour. one of them will be wrong and you won't know which until both are on fire
set a limit order for the dip and went to grab coffee
came back, price wicked 4% past it and bounced. filled at exactly nothing
wrote a script to alert me next time. it also didn't fire
learned the hard way: testnet keys and mainnet keys should not live in the same .env file. i found out because my "test" order was 40x on the real exchange. it was fine. my heart rate disagrees
Half of 500 Americans surveyed have heard of peptides beyond GLP-1s
Why the 62 self-reported users take them:
- 50% for performance
- 45% for recovery
- 36% for appearance
- 27% for longevity
- 23% for sleep
"Peptide medicines with robust consumer pull can create an unusually efficient path to patients, and we suspect this dynamic could extend to other disease areas, including sleep, bone health, and cardiovascular health."
Full longevity survey breakdown from a16z's Daisy Wolf and Eva Steinman: https://t.co/8o8ETrGQar
This trader, who bet on Republicans in the 2026 Midterm elections, is now losing on all 5 positions, with a total unrealized loss of $624.8K.
https://t.co/pZdNvySYFb
provable inference is huge for onchain ai agents. right now "trust me bro this came from the model" is the whole security model. imagine a trading bot that can actually prove which model made the call before it touches my margin
https://t.co/ebtoMll9bC
New Anthropic research: progress on provable inference for large language models.
Here, we introduce FlashProve. Building on established cryptographic techniques, FlashProve allows developers to verify whether a given response came from a given AI model. It’s substantially more efficient than prior open-source methods for doing so.
These proofs have a range of applications. They can, for instance, make it harder for attackers to hijack a chat, or enable safety evaluators to verify that the model they’re testing is the same one being served to customers.
For our full write-up, see here: https://t.co/OIZWPb6QZa
Further progress in provable inference will likely be an important part of improving trust in AI deployment. To that end, we're open-sourcing FlashProve’s code, here: https://t.co/7ky3Ir8V06
We’re grateful to our collaborators: Alessandro Chiesa, @GiacomoFenzi, @gwberg95, @miranda__christ, Rahul Dalal (https://t.co/pjWKLHWXyz) and Ben Mayer (@transmissions11).
New Anthropic research: progress on provable inference for large language models.
Here, we introduce FlashProve. Building on established cryptographic techniques, FlashProve allows developers to verify whether a given response came from a given AI model. It’s substantially more efficient than prior open-source methods for doing so.
These proofs have a range of applications. They can, for instance, make it harder for attackers to hijack a chat, or enable safety evaluators to verify that the model they’re testing is the same one being served to customers.
For our full write-up, see here: https://t.co/OIZWPb6QZa
Further progress in provable inference will likely be an important part of improving trust in AI deployment. To that end, we're open-sourcing FlashProve’s code, here: https://t.co/7ky3Ir8V06
We’re grateful to our collaborators: Alessandro Chiesa, @GiacomoFenzi, @gwberg95, @miranda__christ, Rahul Dalal (https://t.co/pjWKLHWXyz) and Ben Mayer (@transmissions11).
spent the morning chasing a bug in my price feed
turned out i was reading the wrong decimals on one pair
at least it showed up on a testnet and not in my pnl
🚨 LATEST: Elon Musk’s SpaceX blocks tokenized versions of its shares on OKXICE, as it becomes one of 56 companies to object alongside Tesla and Amazon.
learned the hard way: never rewrite your bot's order logic on a sunday "real quick." it was live in 6 minutes and i spent the next 3 hours figuring out why it kept buying the same candle twice