Big news: Kimi-K3 by @Kimi_Moonshot is now #1 in the Frontend Code Arena with 1679 pts, surpassing Claude Fable 5.
This is a 17-place jump from Kimi-k2.6 (#18 -> #1).
In Frontend, Kimi-K3 ranked #1 in 6 of 7 domains: Brand & Marketing, Reference-Based Design, Data & Analytics, Consumer Product, Simulations, and Content Creation Tools, landing #2 only in Gaming behind Fable 5.
The full model weights will be released by July 27.
Congrats to the @Kimi_Moonshot team on this major milestone!
SEC just gave Hyperliquid a massive W
Self-custodial DeFi frontends and third-party builders now get a 5-year safe harbor, which means no broker-dealer registration is required
Huge regulatory clarity for on-chain perps. This is actually bullish AF for $HYPE
My dear front-end developers (and anyone who’s interested in the future of interfaces):
I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept):
Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow
We're excited to announce 'The Situation Room' by Polymarket is coming to Washington, D.C.
The world's first bar dedicated to monitoring the situation. 🧵
10 indicators of a future Staff Software Engineer:
1. Extremely reliable Ships what they say, on time, with fewer surprises. People trust their word.
2. Thinks in systems, not tickets Sees the whole flow: API, DB, queue, retries, failure modes, cost, ops.
3. Writes things down Docs, RFCs, runbooks, postmortems. Knowledge does not stay in their head.
4. Can debug under pressure When prod is on fire, they stay calm, form a hypothesis, and isolate the issue fast.
5. Strong opinions, loosely held They pick a direction, explain the tradeoffs, and change their mind when data shows better.
6. Makes leads and juniors faster Reviews well, mentors, sets standards, unblocks others. They become a force multiplier.
7. Prevents problems before they happen Adds alerts, dashboards, SLOs, load tests, capacity plans. Thinks about operations early.
8. Designs for boring reliability Idempotency, timeouts, backpressure, rate limits, graceful degradation. No hero code.
9. Communicates like an adult Clear updates, no drama, no ego. Can align product, infra, and business in plain language.
10. Chooses impact over visibility Does the unsexy work: migrations, refactors, on-call fixes, infra cleanup. The team gets stronger because of them.
I keep seeing the same pattern over and over again:
Teams working on a relatively clean codebase, with good test coverage and documentation, are flying with Claude Code.
Teams that are yolo'ing things are struggling to make AI work for them.
Vibe-coding is great, but good luck getting far in a large, complex, poorly documented codebase.
Sometimes, you should consider that the issue isn't with agentic coding but with your codebase.
The reason you aren't making progress might not be the model or the prompts you are using. The issue is with the things *you don't have* in place before letting AI touch your code.
AI amplifies whatever you already have.
If your codebase is well-structured and tested, AI will help you move much faster.
If your codebase is a mess, AI will help you create a bigger mess, also faster.
Joint Statement: Apple and Google have entered into a multi-year collaboration under which the next generation of Apple Foundation Models will be based on Google's Gemini models and cloud technology. These models will help power future Apple Intelligence features, including a more personalized Siri coming this year.
After careful evaluation, Apple determined that Google's Al technology provides the most capable foundation for Apple Foundation Models and is excited about the innovative new experiences it will unlock for Apple users. Apple Intelligence will continue to run on Apple devices and Private Cloud Compute, while maintaining Apple's industry-leading privacy standards.
A growing number of top AI researchers are homeschooling their children
Not out of ideology, but because they believe the current education system will not prepare them for a world shaped by AI and robotics
Education must now be designed in reverse: start from the skills the future demands, and build backwards
Otherwise, we risk making our childrens’ skillsets obsolete before they even enter the workforce
the wider crypto ecosystem is still sleeping on @solana’s upcoming Alpenglow consensus algo, built by @TheWattenhofer and his team, which will finally replace TowerBFT, which always felt a bit shaky.
~150ms L1 finality will be epic for market makers, bridges and DeFi in general.