Our ApeChain NFT marketplace is live on OSWiki.
You can list your NFTs, buy instantly, and make offers on a collection or on a single token, and every legitimate collection is tradable.
Over the next few posts we will break down what actually makes it different: how we treat creators, our fee model, Otherside listings, and the tools we give collection owners.
Start trading at https://t.co/pSBUhZzlPP
GM & happy Sunday troop! โ๏ธ
17 @deck0xyz RILLAZ packs left until breaking 400 packs sold and adding the next prize to the post sale raffle backpack! ๐ ๐ ๐๏ธ
Get a pack, rip it RILLA! ๐ฆ
JUST IN: Banca Sella becomes the first Italian bank cleared to offer crypto custody and transfer services, after completing its notification with the Bank of Italy under MiCA.
I am testing it on our services and not performing great on evals. Hopefully it will improve cause I was super hyped.
Practical feedback on the agentic orchestration: it seems itโs usually get to a fine (not perfect) answers but using too many tool calls. It explores even if the context is enough to take a decision. This will cause the cost to increase a lot and slowing down the response time.
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
GM troop! ๐ฆ Collect @deck0xyz RILLAZ cards and get rewarded!
WIP of the 1st requested custom @idrawanimation artwork by @purplelioness for collecting all 40 cards! ๐ฅ Next 2 to complete the full album get this perk too!
More goodies coming soon ๐
This is terrifying @Ledger.
I just received a physical scam letter at my home address in Italy ๐ฎ๐น
How the hell do scammers have access to the addresses of Ledger users? This goes way beyond phishing emails now.
Peopleโs safety is literally at risk.
Introducing SubQ - a major breakthrough in LLM intelligence.
It is the first model built on a fully sub-quadratic sparse-attention architecture (SSA),
And the first frontier model with a 12 million token context window which is:
- 52x faster than FlashAttention at 1MM tokens
- Less than 5% the cost of Opus
Transformer-based LLMs waste compute by processing every possible relationship between words (standard attention).
Only a small fraction actually matter.
@subquadratic finds and focuses only on the ones that do.
That's nearly 1,000x less compute and a new way for LLMs to scale.