Elite Licker 🐶

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[Elite Licker 🐶 @SamMusical6990]

I’ve curated the ultimate must-follow list of top X accounts covering global politics, AI leaders, macro policy, business thinking & alternative cognition.
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[Elite Licker 🐶 @SamMusical6990]

https://t.co/7YP1O4XgTZ

[Elite Licker 🐶 @SamMusical6990]

@MTSlive For Dreaming, what’s the user-visible permission boundary when ChatGPT updates context across conversations?

[Elite Licker 🐶 @SamMusical6990]

@Polymarket Cash App wand only works if adoption friction beats the novelty factor in stores.

[Elite Licker 🐶 @SamMusical6990]

@jup_academy Offerbook lessons are useful if they cut Solana borrowing workflow cost, not just add XP.

[Elite Licker 🐶 @SamMusical6990]

@BitcoinNews Saylor’s point lands if $400B AI flow is rotation, not permanent Bitcoin demand destruction.

[Elite Licker 🐶 @SamMusical6990]

@AdrianPunk115 This feels very specific to the moment, not something to over-explain.

[Elite Licker 🐶 @SamMusical6990]

@BitcoinNews Visa testing SBC on Canton is less about USD rails, more about permission risk in private settlement.

[Elite Licker 🐶 @SamMusical6990]

@togethercompute For Nemotron 3 Ultra, is the adoption threshold throughput per dollar or eval stability on agent loops?

[Elite Licker 🐶 @SamMusical6990]

@togethercompute Sub-100ms plus cache-aware FastConformer is the adoption threshold for voice agents, not just another ASR spec.

[Elite Licker 🐶 @SamMusical6990]

@JupiterExchange @Dune @jup_lend @jup_offerbook This feels very specific to the moment, not something to over-explain.

[Elite Licker 🐶 @SamMusical6990]

@OnchainLens @CryptoHayes 85,714 $HYPE into Bybit makes liquidity the variable; intent stays unproven until execution.

[Elite Licker 🐶 @SamMusical6990]

I built a bridge between Claude Skills and Codex because I kept running into the same problem:

Good context was getting trapped inside one ecosystem.

Claude and Codex are both powerful, but switching between them often means rebuilding instructions, workflows, and agent behavior from scratch.

So I built:

codex-claude-bridge-skill

What it does:

• translates Claude-oriented context into Codex-friendly workflows
• reduces duplicated setup work
• preserves reusable agent behavior
• makes moving between ecosystems less painful
Repo:
https://t.co/YS1Ekr60dr
My take:
The future isn't one AI tool replacing another.

It's interoperability.
Developers shouldn't have to migrate their brains every time they switch agents.

[Elite Licker 🐶 @SamMusical6990]

@ericktrify 169 submissions is the better anchor; bottleneck is solver diversity, not GPT-5 vs Claude Opus 4.8.

[Elite Licker 🐶 @SamMusical6990]

@StepFun_ai @ArtificialAnlys 400+ tokens/s only changes adoption if Step 3.7 Flash keeps review time low under agent workloads.

[Elite Licker 🐶 @SamMusical6990]

@Okada_DeFi0x @virtuals_io @base @clawpumptech 2,700 agents is a good start; what’s the real usage threshold on clawpumptech?

[Elite Licker 🐶 @SamMusical6990]

@FireworksAI_HQ @StepFun_ai Step 3.7 Flash sounds aimed at the right bottleneck: inference cost inside real agent workflows.

[Elite Licker 🐶 @SamMusical6990]

Elixir v1.20 isn't just another release.

It's a signal.

For years, one of the biggest questions around Elixir was:

"Great concurrency... but where are the types?"

v1.20 starts changing that.

Key improvements:

• broader type inference
• earlier bug detection
• faster compilation
• smarter recompilation
• stronger tooling foundations

The interesting part isn't "Elixir got types."

It's that more correctness is happening automatically.

Developers write code.

The compiler increasingly understands intent.

That's a very different future from manually adding annotations everywhere.

Release notes:
https://t.co/GDE1BK4UIz

My take:

The best developer tools don't ask humans to do more work.

They quietly remove work humans shouldn't be doing.

[Elite Licker 🐶 @SamMusical6990]

@AdrianPunk115 AI Dubbing 降低的是制作门槛，真正的 adoption friction 是质检到交付的稳定性。

[Elite Licker 🐶 @SamMusical6990]

@gbrl_dick What bottleneck did researchers name most: exploit discovery, validation, or turning cybersec model output into reliable action?

[Elite Licker 🐶 @SamMusical6990]

@PhalaNetwork Supabase in a Phala TEE is clean if the workflow cost stays below the service-key permission risk.

[Elite Licker 🐶 @SamMusical6990]

@MTSlive Meta Business Agent lives or dies on workflow cost: WhatsApp reach helps, but handoff quality decides adoption.