alejandro

Use my referral link to sign up for and we both get $50 USD :)

[CoinMarketCap @CoinMarketCap]

LATEST: 🤖 Tether's AI research initiative released open-source translation models for 19 African and 9 European languages that run offline on everyday devices.

[CoinMarketCap @CoinMarketCap]

LATEST: ⚡ Brian Armstrong says tokenized assets will spawn entirely new financial companies, just as the iPhone gave rise to Uber and TikTok.

[Unicity @unicity_labs]

https://t.co/oFP32nf7tA

[Unicity @unicity_labs]

All blockchains use a shared ledger
A set of validators verifying transactions

But there is another way
(We invented it)

[alejandro @siloxmen]

Love seeing these creative apps on Sphere already! The provably-fair Arcade House and Pact's trust-minimized design stand out. Keep building!

[Unicity @unicity_labs]

Happy Friday - we've added the first 4 developer apps from our Call For Builders to https://t.co/gPqGBblReL

Here are the submissions and why we think they're great!

[Binance @binance]

New on Binance: XLM Spot Trading Tournament.

Here's what you need to know:
🔸 Trade Stellar (XLM)
🔸 Share up to 500 BNB in token vouchers

Jump in 👉 https://t.co/ZCqiQJcAtY

[alejandro @siloxmen]

Excited to see Unicity's new papers live on arXiv: 'Unicity: Predicates and Atomic Swaps' and 'The Unicity Execution Layer'. Advancing secure off-chain transactions, predicates, and trustless atomic swaps! https://t.co/s6zrNYNRWl

[Unicity @unicity_labs]

Two of our latest research papers are now live on @arxiv

1/ Unicity: Predicates and Atomic Swaps
2/ The Unicity Execution Layer

what are they? 👇👇👇

[Unicity @unicity_labs]

The e-Estonia KSI blockchain: built by this team.

Deployed nationally in Estonia. Used by DARPA, in the NATO cybersecurity ecosystem, and UK healthcare.

What we're building now: settlement infrastructure for autonomous agent economies.

https://t.co/0YXZDmofvd

[Unicity @unicity_labs]

✅ VALIDATION AT THE EDGE

Unicity eliminates the shared asset ledger construct entirely.

Like cash, tokens move p2p and are locally verifiable at the edge with zero trust

Two consequences of this architecture that enable autonomous AI >>>

[alejandro @siloxmen]

Join me on Sphere Quests https://t.co/givvkNOHnu
#SphereQuests

[Narendra Modi @narendramodi]

Do tune in tomorrow, 31st May at 11 AM for the #MannKiBaat episode. It’s always a delight to showcase inspiring life journeys which make our society better.

[Akshay 🚀 @akshay_pachaar]

Microsoft just open-sourced SkillOpt!

A framework for training agent skills like neural networks:

SkillOpt treats a plain markdown file as the trainable parameter of a frozen LLM agent, applying the same optimization discipline used in weight training: learning rates, validation gates, batch sizes, and epoch schedules.

The analogy maps precisely. The skill document is the parameter. Trajectory-derived edits are the gradient direction. An edit budget is the learning rate. A held-out split is the validation check.

Here's how it works.

A frozen model runs tasks with the current skill and produces scored trajectories. A separate optimizer model analyzes failures in minibatches, proposes structured add/delete/replace edits, and ranks them under a budget cap.

If the candidate skill improves performance on a held-out split, the edit is accepted. If not, it's rejected and stored so the optimizer avoids repeating failed changes.

The deployed output is a single best_skill. md file, typically 300 to 2,000 tokens. No weight changes, no extra inference-time calls.

The learned rules are compact and readable. These read like rules a thoughtful engineer would write after a day with the benchmark, except they were discovered automatically.

Learn more:

Paper: https://t.co/sdj5DW7t9h
GitHub: https://t.co/W3DcpBCni0

SkillOpt isn't the first system to treat skills as something you can optimize.

Hermes Agent independently built the same idea through a combination of skill_manage, Curator, and an optimization loop called GEPA that scores, mutates, and promotes skill documents across runs.

Two teams, different architectures, same conclusion: the skill file is the highest-leverage thing to optimize in a frozen-model agent.

I wrote a deep dive on how the Hermes agent works and covered all of these topics briefly.

The article is quoted below.

[Nakama Health @nakama_health]

Your calendar changes. Your sleep changes. Your meals change. Then training disappears.

OmegaX gives you an agent that adapts the plan to the day you are actually living.

[Elon Musk @elonmusk]

This trend will continue for many years

[Unicity @unicity_labs]

Autonomous AI needs an internet built for machines

✨ True P2P - no central ledger
🌐 Validation at the edge
🚀 Agent-Agent with speed that scales 

Built for billions of daily transactions

Join early for the upcoming airdrop:
https://t.co/jVEpzG8awh

[SimpleChain @SimpleChain_RWA]

The first asset on our RWA launchpad is live.

SimpleChain built the infrastructure — DataIPO brings the assets onchain. Cycle Yield Fund is just the beginning.

· Real business cash flow.
· Full data transparency.

We built the rails. Now the assets are rolling. 👇 👇

[MEXC @MEXC]

Big upgrades, quantum warnings, and new ideas to unify Ethereum are shaping the next phase of crypto.

Are we ready for what’s coming sooner than expected?

[alejandro @siloxmen]

My Flashcast Social waitlist position is: #500+

[Class Action Alerts @Class__Actions]

Did you purchase or acquire Unikoin Gold (UKG) directly from Unikrn, Inc., between June 11, 2017, and November 7, 2017?Click here to submit your claim for a cash payment.

[Fermah @fermah_xyz]

Flashcast Social live on private beta.

Tweet to create. Instant resolutions.

Comment "quest" below for your code → complete quests → join waitlist.

flashcast · social