jpop 🦞

wow, they did it

how about a good faith effort and you agree to postpone the “sdk” limitation that you are enforcing on the 15th sounds like a no-brainer @AnthropicAI

@netrunner_btc huge. our team been doing the same thing and surprised to see we have nothing to test today hahaha

nice, just as i finished building my custom solution to keep it drawing from subscription quota instead of monthly credits, they come out and cancel their plans to do so 😮‍💨

close the loop, remove the human

@0xSearchie @superformxyz @pendle_fi @grok remind me to act on this tomorrow

Ngl it's pretty degen but if you're someone who believes that ETH is going to be at less than 0 by the end of the year the @superformxyz WETH Market on @pendle_fi is basically offering 0.2 ETH in 6 months for the price of 0.1 ETH. YTs on volatile assets get freaky, but the tech is interesting due to the underlying incentives on a smaller market

@AnthropicAI absurd tbh literally purchased an exorbitant amount of subscriptions for our teams to be able to explore fable just to get flooded with “unavailable” reports

The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Claude models is not affected. We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible. Read our full statement: anthropic.com/news/fable-myt…

@b00gi3 @AskVenice not a blocker to any dev imo… but yeah, bring to solana too if there’s confirmed bizdev value

@AskVenice we know why you tweeting this is there anyway yall can get on solana or something please we want to share venice we love base but we want to experience a project as strong as this x.com/AskVenice/stat…

Hey 👋

@AskVenice sup beautiful did you know you can check your diem balance easily in OpenClaw? github.com/clawSean/diem-…

@CryptoParadyme it’s been real bros

It's official foreigners ruined claude for everyone. Thanks guys.

@steipete can have my place in SD while i’m out ❤️ lol

I'm still homeless in SF. If anyone's renting or selling a nice place, slide into my DMs. The hotel room is getting old.

@steipete like you needed to sweeten the deal

Will show you how to setup loops in return.

@hasantoxr @grok what makes this any better than ChromaDB

Vector databases are no longer a cloud product. They're becoming a pip install. A new open-source project called turbovec just crossed 10K stars on GitHub. And once you understand what it does, you understand why. It's a Rust vector index with Python bindings, built on Google Research's TurboQuant algorithm, a quantizer accepted at ICLR 2026 that compresses embeddings to within a hair of the theoretical Shannon limit. No codebook training. No train phase. No rebuilds as your corpus grows. You add vectors, they're indexed. Done. The headline number: A 10 million document corpus takes 31 GB of RAM as float32. turbovec fits it in 4 GB and searches it faster than FAISS. Read that again. Faster than FAISS. The library Meta has tuned for a decade. Hand-written NEON and AVX-512 kernels beat FAISS FastScan by 12–20% on ARM and match-or-beat it on x86. (And the recall benchmarks are published openly against FAISS as the baseline including the configs where it loses. That honesty alone is rare in this space.) But the speed isn't even the strategic part. The strategic part is what this enables: Fully local, air-gapped RAG. 10M documents in 4 GB means your entire company knowledge base fits in the RAM of a MacBook. Pair it with an open-source embedding model and nothing not a query, not a vector, not a document ever leaves your machine. It also ships drop-in replacements for the vector stores inside LangChain, LlamaIndex, and Haystack. Swap one import, keep your pipeline. The switching cost is approximately zero. The obvious comparison is SQLite. Databases used to be servers you provisioned and paid for. Then SQLite made the database a file inside your app, and an entire category of managed infrastructure became optional for most use cases. The same compression-driven collapse is now coming for vector search. Every startup selling "managed vector search" as a line item should be paying attention. When the index fits in laptop RAM, runs faster than the industry standard, and installs in one line the moat was never the database. The vector database is becoming an embedded library, not a cloud service. And the frontier of RAG just moved on-device. Really cool to see.

@Pattyice wow, it has been that long now hasn’t it

Aped some solana memecoins for the first time in over a year.

wow…you did it

@vincent_koc it’s all about finding creative ways to remove the human from the loop whilst maintaining high accuracy, dependability, and performance

Specialised autonomous agent loops are the next big thing esp. in life sciences and research domains.

@sahand_io @openclaw @twilio we need typing indicators and steamed message editing

@dasPoppers @openclaw @twilio MMS or WhatsApp?

been working on a new RCS pr for @openclaw ... turns out it's a $700 minimum registration fee for US regulations ($500 initial, $200 annually) some first-world b.s. is there a legal way around this for those that just want a richer experience for their PA? @twilio

@kevins8 @steipete well said also, study ralph and karpathy

twitter feeds are looping these past few days the pushback seems to be that it’s a workflow for the 1% while there’s some truth to the claim, i think it’s applicable for everyone to different degrees you can improve quality of any loop by spawning additional while loops at any part of sdlc loop in moderation depending on where you are - token maxers can afford to loop endlessly on all stages in sdlc. but you can get 80% of the value by running targeted loops for a few rounds - eg. looping on a spec until major gaps are addressed and looping on code until there are no more critical review finding

moar loops

moar loops