BrahDeveloper @BrahDeveloper

We are public with Polymarket perps, but we haven't really been pushing its growth yet. Before that, we want our system to be prepared for any level of growth - in October, we will have our v2 engine live for perps, which will make it one of the fastest perps exchanges in crypto. 🦀

Events on Polymarket now open ~4x faster.

Opening access for developers to build Muse connectors. You bring the API -- Muse brings the agent, the browser, and the context of what the person actually wants. People reach your service just by asking for it, and their agent takes it from there. New connectors are live today. Come build with us. muse.ai/platform

Most tech giants in the 2000s built their infrastructure and product as one entangled unit. Amazon had the foresight to separate out AWS as an API layer, of which Amazon retail was the first of many users. Today, AWS generates more profit than all of Amazon's other business lines combined. Hyperliquid is built with the same philosophy. Housing all of finance requires thoughtfully designed, open financial primitives. Each primitive should obey the Unix principle of "Do one thing and do it well." Talented builders then have the foundation to chain these together to create magical applications. HyperCore borrowing is an example to highlight this philosophy in action. Most other platforms implement portfolio margin by marking an account's collateral to market value with an LTV haircut, creating borrowed assets without an explicit lender. This system is simpler to implement, but misses a golden opportunity for composability. Hyperliquid instead begins with a borrow/lend protocol on HyperCore. Every borrowed asset is sourced from a supplier, so risk is isolated within the borrow/lend primitive instead of platform-wide. HyperCore's portfolio margin system is implemented as an orchestration layer that composes borrow/lend, with other primitives such as perps, spot, and outcome trading. This decomposition has several nice corollaries: 1. Today's announcement of manual borrowing is not a new feature, but simply an extension of the underlying primitive. Borrowers on day one have access to 400M and growing of supplied liquidity. 2. Portfolio margin users earn interest on their idle stablecoin collateral. This is not a new feature, but a natural byproduct of composing trading with lending. 3. System safety is easier to reason about when perp and borrow/lend margining are independent. In the same way that math theorems almost prove themselves when the right abstractions are defined, composable designs just feel right.

Hyperliquid @HyperliquidX

2 weeks ago

Manual borrows are live on Hyperliquid Portfolio margin and manual borrows use the same underlying HyperCore infrastructure, with $269M in assets borrowed today. Users can supply HYPE and BTC as collateral to borrow quote assets (USDC and USDT). Borrowed quote assets pay

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Astra ✅ Fast ✅ Frontier ✅ Efficient ✅ For everyone

Jasper Dekoninck @j_dekoninck

2 weeks ago

We are releasing the latest version of BrokenArXiv and ArXivMath! These benchmarks now focus on conjectures that were refuted in the last month on ArXiv, and models are executed within a harness instead of directly via API. Performance remains impressive, with GPT-6 Astra on top

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@finkd God bless zuck for doing TRT

Last month I wrote about how we can build a positive and safe future for everyone: meta.com/thefutureisfor… Every lab has the responsibility and incentive to move at the pace required to train its models safely, and the ability to take its own actions to ensure that happens. The reality is: - People won't want to use agents that are misaligned with them and that don't do what they ask, so labs have a strong natural incentive to make their models more aligned. There is a lot of debate about slowing progress on capabilities until alignment catches up. My view is that trust and alignment are quickly becoming the most important capabilities that will differentiate agents and models. Any lab that doesn't focus on alignment will fall behind. - Labs face significant liability if their models cause harm, so they have a strong incentive to prevent this as well. Meta delayed shipping Muse for several months to focus on safety and security. We didn't call for everyone else to do this before we would. We just did it as part of our day-to-day work because it was clearly the right thing for people and for us. I'm proud of the security foundations we've built. - Engaging independent evaluators and advisors is industry best practice. MSL already does this today in several areas because it helps produce better work. Other labs can just do this too. In general, it would be helpful for there to be a larger and more diverse ecosystem of evaluators. - Committing the significant majority of compute towards serving people rather than racing towards recursive self-improvement is one of the best ways to ensure we develop this technology safely. Meta has made this commitment and other labs can do this as well. I believe the key to building a positive future for everyone is maintaining the right balance of power. This is within our power to do.

Astra and Luna are taking off

Peter Walker @PeterJ_Walker

2 weeks ago

Share of wallet (dollars spent) vs share of tokens used. Anthropic vs OpenAI Astra = top model by spend last week Luna = top model by tokens (by a LOT)

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71% da população mundial nunca usou AI generativa 28% só usou free chats apenas 1% paga alguma assinatura de AI e 0,14% usa AI pra escrever código É por isso que microsaas vende. Aquele app basico de gerar foto com AI, ou de contar calorias, que o chat gpt free faz igual, vende. O mercado de AI wrappers (aquele app que é só um promtp chamando a AI) tem mercado estimado em 300 BILHÕES de dolares em 2026. Você e eu vivemos numa bolha. Você vê todo mundo aqui usando AI de forma avançada, e acha que o mundo inteiro é assim. E pior, você ainda cai na sindrome do impostor por isso, mas esquece que isso é 0,14% da população mundial. Entao, bora construir microssas guys. Em breve vou trazer uma novidade sobre isso pra te ajudar, inclusive

Emilly Humphress @emillyhumphress

3 weeks ago

Ontem eu realmente percebi que vivo numa bolha dev. Tava conversando com umas amigas e descobri que uma delas nunca tinha usado o chatgpt. Na verdade, nem sabia que existia um app. Na minha cabeça, todo mundo já usava isso de alguma forma. Mind blown. Que bolha que eu vivo.

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🚨ÚLTIMA HORA : Anthropic acaba de publicar cómo podría verse la economía si la IA realmente despega. Y su escenario extremo da bastante vértigo. Para 2030: → PIB de EE.UU.: +32,4% → crecimiento anual: hasta 15% → salarios del trabajo intelectual: -10% o más → el capital pasaría de quedarse con el 40% de la economía al 54,8% La parte inquietante no es que la IA destruya riqueza. Es exactamente lo contrario. La economía podría ser muchísimo más rica mientras programadores, analistas y otros trabajadores del conocimiento cobran menos o directamente pierden su empleo. Nunca habíamos tenido una tecnología capaz de agrandar tanto el pastel y, al mismo tiempo, cambiar de forma tan brutal quién se lo come. Anthropic no está diciendo que vaya a ocurrir. Pero que ellos mismos estén modelando este escenario para 2030 ya me parece suficientemente loco.

Anthropic @AnthropicAI

3 weeks ago

Anthropic’s Economics team is sharing a new model of how AI might affect economic growth, jobs, wages, and more by 2030. Explore the scenarios, tell us what you think will happen, and see how your answers compare to more than 10,000 Americans. anthropic.com/institute/econ…

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New on Claude Marketplace: @CrowdStrike, @cursor_ai, @FactoryAI, @GammaApp, and @vercel. Enterprises can now use their Anthropic spend commitment to buy more Claude-powered products and agents. Get started: claude.com/platform/marke…

Claude @claudeai

4 months ago

New in the Claude Marketplace: @augmentcode, @boltdotnew, @coderabbitai, @hebbia, and @WeAreLegora. Apply your existing Anthropic spend commitment toward their Claude-powered products. Learn more: claude.com/platform/marke…

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i want one!

thijs @cdngdev

3 weeks ago

i gave astra a robot, a paint brush, and a camera then asked it to paint the golden gate bridge in real life! it figured out how to control the robot, and progressively got better throughout its attempts. the timelapse is sick

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One of the most amazing moments for me in OpenAI history was watching this happen over the past week:

OpenAI @OpenAI

3 weeks ago

We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics. The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra. The problem

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BREAKING POLYMARKET JUST ADDED MULTI-CHAIN RESOLUTION TO THEIR OFFICIAL CONTRACTS

@sama

Polymarket decreased it's yield to *a second time* from 3.25% to 2.85% ! After they already lowered it from 4% to 3.25% a few months ago + they are removing the yield ENTIRELY from a lot of markets Here is one I used to farm for yield. "Putin out as President of Russia by December 31st" - 3 months ago : 4% yield - 1 day ago : 3.25% yield - now : 0% yield When Polymarket released $pUSD I though that yield would come to all market. Made sense. Because $pUSD is backed by $USDC, so before that, $USDC used to be locked in smart contracts where it could not collect yield, whereas now it's $pUSD locked in the contract and they are free to farm yield on it's $USDC collateral. The community could have easily benefited from it, but it looks like it's not the path we are taking

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YES is still systemically overvalued in Prediction Markets This is what this @kalshi study on 2 million markets shows. Just look at the graphs. - X axis show the predicted probability (midpoint price) - Y axis shows the % of YES resolutions What do you notice ? Not a single point is above the calibration line. Every single deviation, in every figure, is under the grey line which means that predicted probability (X) was always higher than actual probability (Y) The effect is more visible the farther we are from deadline, because markets are better calibrated on recent events, but it exists in every time horizon. Smart MMs will use that information to quote

TWAP is creating new ways to make money on BTC Up/Down markets on @Polymarket Just look at the screenshot: The 5-minute BTC market still has 3m 30s left BTC is already $122 below the price to beat That’s a pretty big gap for a 5-minute market But Down shares are still only 86¢ Before TWAP, with this kind of gap and time left, these shares would probably already be around 95-99¢ Now the market prices things differently Because resolution depends on the 60s average So traders have more time to enter and manage the position

vijn @vijn_crypto

a month ago

Making money on BTC Up/Down markets should now become even easier on @Polymarket And I’m not joking Now Polymarket is reducing taker delay from 250ms to 50ms And 5-minute crypto markets moved to 60s TWAP That’s a huge difference for fast crypto markets Faster and leaner

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Many drugs work by binding to a specific target in the body and blocking or changing what it does. An important first step in the drug development process is designing a molecule that can bind tightly to its target. Traditionally, that's meant weeks or months of expert work per target, sifting through a large number of candidates to identify the few that work. We wanted to test if Claude could successfully design novel protein binders from scratch (also called de novo design). With a protein design prompt written by a human expert, Claude autonomously designed protein binders against 14 out of 15 targets. We then worked with Adaptyv Bio and Twist Bioscience, who independently built and tested the proteins Claude designed.

Claude Cowork is now available on mobile and web for all paid plans.

Claude @claudeai

3 months ago

Claude Cowork is coming to mobile and web. Hand Claude a task at your desk and pick up the finished work from your phone. Close the laptop and Claude keeps going. Beta is rolling out over the next several weeks starting with the Max plan, with more plans to follow.

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