Narisya

I just tell the story. no matter how complex it is, I’ll make it simple .

[Narisya @kirkscourage]

@42space @token2049 See you guys in SG

[Narisya @kirkscourage]

@Ignixbot Wait how do the vault mechanics actually work

[Narisya @kirkscourage]

@higanaka_nail how consistency across images holding up when you move to video though?

[Narisya @kirkscourage]

@EyeingAI untangling conflicting papers is the dream

[Narisya @kirkscourage]

checking out https://t.co/dT08S0J4pb today—PhAI Labs made ScienceBuddy free for anyone with an edu address needing automated PubMed queries.

[Narisya @kirkscourage]

@dymartinloondes Droplet looks way better now ngl

[Narisya @kirkscourage]

@42space Hope the UI actually loads smoothly this time.

[Jerry Pan @stambouli_o1]

This might be the single best time to bootstrap a business in human history

Or forever

(on @o1_exchange @base)

@o1_exchange o1 Launchpad is the only @base-native Launchpad.

Most launchpads stop at the launch. o1 Launchpad gives @base projects the full stack: token launches, burn/buyback/tax/dividend (coming in a few days), staking, community takeover (CTO), launchpad of launchpads middleware infra, full stack growth team, @o1_ventures o1 Ventures, and beyond. Many more incoming.

[Narisya @kirkscourage]

@toady_hawk @base @stambouli_o1 @o1_exchange @o1bluechip @buildonbase @jessepollak @Nibel_eth @davidtsocy 1B milestone already?

[Narisya @kirkscourage]

@42space are the 3 tokens random or picked by 42?

[Narisya @kirkscourage]

@CryptofxOG @Hertzflow_xyz how do i get into the invite beta?

[Narisya @kirkscourage]

@AtriaASI long-horizon tasks are so tough to evaluate, cloning the repo now

[Narisya @kirkscourage]

@42space Run it back

[China Asset Management @ChinaAMC_HQ]

𝐓𝐡𝐞 𝐀-𝐒𝐡𝐚𝐫𝐞 𝐌𝐚𝐫𝐤𝐞𝐭 𝐇𝐚𝐬 𝐄𝐧𝐭𝐞𝐫𝐞𝐝 𝐚 𝐏𝐞𝐫𝐢𝐨𝐝 𝐨𝐟 𝐕𝐨𝐥𝐚𝐭𝐢𝐥𝐢𝐭𝐲 𝐚𝐧𝐝 𝐃𝐢𝐯𝐞𝐫𝐠𝐞𝐧𝐜𝐞

The ChiNext Market has experienced notable volatility recently, with both sharp gains and steep declines. Our portfolio manager, Yayun, believes that from a full-year perspective, the valuation expansion phase of the A-share market may have largely run its course, with the market now entering a period of increased volatility and greater divergence.

Source: China Asset Management Co., Ltd.
Risk Disclaimer: Investment involves risk, including possible loss of principal. Any forecasts, projections, or opinions contained herein are for reference only and are not guaranteed to occur. The information in this material reflects prevailing market conditions and our judgment as of the release date, which are subject to change without further notice.

#ChinaAMC #AssetManagement #GlobalInvesting #Finance

[Narisya @kirkscourage]

@flapdotsh @binance We eating good tonight 🦋

[Narisya @kirkscourage]

@techdroider @xbxbyXREAL A01+ virtual screen saved my sleep schedule ngl

[Narisya @kirkscourage]

So for $299 on the xbx a01+ you either get 120Hz stabilization or 90Hz HDR, but not both at once. Thinking about my #GamingThenVsNow evolution where I used to play Halo on an 800x600 tube TV, so maybe I should not complain about trade-offs on 62g specs.

[Narisya @kirkscourage]

@42space @BinanceWallet backing bnb every round idc

[Narisya @kirkscourage]

Does #TwinDEX transfer to uncalibrated glass rods if @XSquareRobot trained only on robot-free data? https://t.co/EFOCvWvZo8

[X Square Robot @XSquareRobot]

What if a dexterous robot could learn a 20+ step chemistry experiment without a single on-robot training demo?

Meet TwinDEX: a pair of co-designed, three-finger, nine-DoF dexterous manipulation interface: one wearable for data collection, one for robot deployment.

The twinned design shares identical kinematics, contact surfaces, visual appearance, and sensors across collection and deployment — keeping observations and actions aligned end to end.

Trained from scratch on only a few hundred wearable demonstrations - with zero on-robot training or intervention data - TwinDEX completed a standardized chemistry experiment involving tool switches, fine force control, and bimanual coordination.

Robot-free data showed comparable learning efficiency on the multi-task evaluation, TwinDEX delivered 5.3 times effective throughput than on-robot teleoperation.

TwinDEX demonstrates that high-quality robot-free data can fully substitute for on-robot teleoperation data on challenging dexterous tasks — removing the dependency on real-robot hardware that has been the central bottleneck to scaling dexterous manipulation data.

This was the proof-it phase. Now comes scale: what emerges at tens of thousands, or millions, of episodes?

Watch the demo and read the technical blog: https://t.co/PgyFkrJdXG

#TwinDEX #Robotics #EmbodiedAI #DexterousManipulation

[Narisya @kirkscourage]

@margin_trade silver chart looks nasty now