Raphael

Things are about to get really exciting

@jadroy2 Looks cool!

introducing humanoid index i wanted one place i could browse n compare current humanoids, so i created one crafted with 🫶🫶🫶 and through yapping an absurd amount to claude code for a couple of months

@chris_j_paxton Just like we do with our kids

I think more people should be teaching their robots how to fall. incredibly important

@TheHumanoidHub What’s wrong with the remaining 29%

71% chose the Unitree Mecha over the Ferrari SF90 Spider 😁

@adcock_brett Forgot to display some metrics: Cigarette breaks: 0 Toilet breaks: 0 Coffee breaks: 0

Watch a team of humanoid robots running a full 8-hr shift at human performance levels. This is fully autonomous running Helix-02 x.com/i/broadcasts/1…

@pythianism link?

Part of preparing Sky for the next step is proper investor communications Please join us for the first quarterly insights call this Wednesday

@SkyEcoInsights @RuneKek @pythianism link?

Tomorrow, Sky Frontier Foundation publishes its inaugural Quarterly Insights Call. @RuneKek and @pythianism sit down to break down Sky Ecosystem's strongest quarter on record. 📆 May 13th, 9AM EST Save the date.

@zacxbt @inversebrah

@adcock_brett Movie night 🍿

Figure is going live around 11am PT today with an 8-hour livestream of our robots running at human speeds This will be fully autonomous on Helix-02 w/ zero human intervention The robots will work together to keep operations running nonstop I’ll share the link soon

I built whichhumanoid.ai, the world's first buyer's directory for humanoid robots. Tesla Optimus, Figure 02, 1X Neo, Unitree R1, AgiBot, Apptronik Apollo. Every robot side-by-side. Compare any two like you'd compare two cars. What's inside: → 308 humanoid robots catalogued → Compare on price, payload, height, walking speed, and funding → Filter by use case (manufacturing, home, healthcare, defense) → Live ticker of every shipment, launch, and customer deploy → Submit any humanoid I missed A few things that surprised me building it: → Only 66 of 308 are shipping today → Only 32 publish a price → Only 30 have a verified customer deploy → Cheapest shipping robot is Unitree R1 at $4,900. The highest price I've seen is $250,000. P.S. Find a bug, DM me. I'll fix it same day.

@AltcoinPsycho How about compute perps and futures? x.com/brettharrison/…

In 2023 I said a GPU bubble is coming. My 2026 plan is simple: buy any & all reasonably priced exposure to compute. And no, it’s not too late.

@BrettHarrison Super timely launch!

Compute futures have arrived: quarterly, monthly & yearly contracts on Nvidia H100/H200 prices trading on Architect. Purpose-built for companies with exposure to GPU price volatility. Intuitive trading interface, instant settlement, our team online 24/7.

@itstuyo 👀

We created a card that sometimes doesn't charge you. Buy Now, Pay Maybe.

@AnthropicAI @grok which stocks will go down 10% following this post?

New Anthropic research: Natural Language Autoencoders. Models like Claude talk in words but think in numbers. The numbers—called activations—encode Claude’s thoughts, but not in a language we can read. Here, we train Claude to translate its activations into human-readable text.

@PapaDari_ 💯

@ravi_riley @joshua_j_lim Hey Ravi - could you check your DM please?

@joshua_j_lim great read we just need a quantum gigachad to frontrun malicious actors and burn the coins before anyone else can

1/ I’ve spent most of the last few weeks since the Google, Caltech papers to think about tradable implications around quantum computing and crypto specifically what happens to the market around q-day

@claudeai bye chill weekend touching grass

Introducing Claude Opus 4.7, our most capable Opus model yet. It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. You can hand off your hardest work with less supervision.

Judging by my tl there is a growing gap in understanding of AI capability. The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a group of reactions laughing at various quirks of the models, hallucinations, etc. Yes I also saw the viral videos of OpenAI's Advanced Voice mode fumbling simple queries like "should I drive or walk to the carwash". The thing is that these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code. But that brings me to the second issue. Even if people paid $200/month to use the state of the art models, a lot of the capabilities are relatively "peaky" in highly technical areas. Typical queries around search, writing, advice, etc. are *not* the domain that has made the most noticeable and dramatic strides in capability. Partly, this is due to the technical details of reinforcement learning and its use of verifiable rewards. But partly, it's also because these use cases are not sufficiently prioritized by the companies in their hillclimbing because they don't lead to as much $$$ value. The goldmines are elsewhere, and the focus comes along. So that brings me to the second group of people, who *both* 1) pay for and use the state of the art frontier agentic models (OpenAI Codex / Claude Code) and 2) do so professionally in technical domains like programming, math and research. This group of people is subject to the highest amount of "AI Psychosis" because the recent improvements in these domains as of this year have been nothing short of staggering. When you hand a computer terminal to one of these models, you can now watch them melt programming problems that you'd normally expect to take days/weeks of work. It's this second group of people that assigns a much greater gravity to the capabilities, their slope, and various cyber-related repercussions. TLDR the people in these two groups are speaking past each other. It really is simultaneously the case that OpenAI's free and I think slightly orphaned (?) "Advanced Voice Mode" will fumble the dumbest questions in your Instagram's reels and *at the same time*, OpenAI's highest-tier and paid Codex model will go off for 1 hour to coherently restructure an entire code base, or find and exploit vulnerabilities in computer systems. This part really works and has made dramatic strides because 2 properties: 1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them. So here we are.

nani