Michael Growney

Founder @YieldingBear

[Michael Growney @michaelgrowney_]

@deivcodes 🍆😂

[Michael Growney @michaelgrowney_]

@yieldingbear Pretty much every vibe coded ai app can be powered by 1 of the 20+ free models on here

[Yielding Bear @yieldingbear]

Tap into 100+ LLMs in 1 Command Line:
curl -fsSL https://t.co/N1HoibaVzh | bash

Power your Hermes & OpenClaw Agents with Yielding Bear 🐻

[Michael Growney @michaelgrowney_]

Token maxing is turning into token optimization. Builders are relying more on routers than separate endpoints for each model now

Stripe is locking in transaction volume from the first wave of AI builders

Will be cool to see how they evolve to capture agentic volume on-chain as it grows

[Michael Growney @michaelgrowney_]

How many low reasoning tasks are you running with frontier model usage costs?

I use Yielding Bear to easily switch those simple tasks to free/low cost LLMs and save my frontier model usage for the heavy lifts

https://t.co/xsvaSuezsw

[Michael Growney @michaelgrowney_]

The model is not the moat anymore. The gateway is.

One model doesn’t fit every job. Separate configurations for multiple model providers is clunky.

The AI cost / quality benefit for builders exists in competitive inferencing from one gateway.

[OpenRouter @OpenRouter]

OpenRouter is joining Stripe.

We started OpenRouter with a simple mission: intelligence should be multi-model. Today, we are the largest AI marketplace & gateway, processing 10T+ tokens daily on 400+ models.

Joining @Stripe gives us the opportunity to accelerate that mission.

[Michael Growney @michaelgrowney_]

The Grok 4.6 Price / Intelligence ratio beats other frontier models easily

[Michael Growney @michaelgrowney_]

Dump your project goals into Grok Bot and ask it what bots to make

It doesn’t just set up a fleet.. Grok 4.6 looks at the mess and picks the lanes

It spun up 3 I actually needed

A noticeable difference in delegating quality > quantity for jobs compared to Hermes & OpenClaw

[Michael Growney @michaelgrowney_]

I showed Grok Bot a task once and it saved it as a routine.

Didn't write a prompt doc. Just did the thing on screen and let it watch.

Now it runs that job without me.

Monkey see monkey do 🙉

[Michael Growney @michaelgrowney_]

Grok is leading SpaceX towards $100/kg to orbit cost

ChatGPT is answering your grandmas chats

[Elon Musk @elonmusk]

@aaronburnett Those who follow closely already know the other answers

[Price Errors @Pricerrors]

12 MEGA CHARMIN TOILET PAPER ROLLS ALL-TIME LOW

Clip $1 Walmart cash coupon, basically paying $8

https://t.co/eplatQEWtC

A 9-PACK currently goes for $10 at CVS, great time to stock up

Free shipping for Walmart+ members #ad

[Tesla Robotaxi @robotaxi]

Robotaxi now in Tampa & Orlando!

[GenesisL1 @genesis_L1]

Today, we publish the GenesisL1 White Paper v1.0.

The infrastructure came first. The white paper comes now.

GenesisL1 has produced blocks since November 2021. It is a live, public and decentralized Layer‑1 network built to make scientific data, machine-learning models, computation, digital rights and protected knowledge verifiable and programmable within one shared environment.

The working stack already includes:

• MOLNFT for molecular scientific objects
• DatasetNFT for dataset identity, provenance and programmable rights
• GL1F for content-addressed Model NFTs and deterministic fixed-point machine-learning inference inside the EVM
• CIPNFT for encrypted scientific intellectual property, controlled disclosure and buyer-safe transfer—with optional ML‑KEM‑768 post-quantum key protection
Together, these protocols establish a data → model → execution → result → IP workflow for researchers, institutions, applications and autonomous AI agents.
The network’s molecular layer represents more than 733,919 structures, including approximately 229,000 complete Protein Data Bank entries and roughly 50 GB held fully in replicated chain state.
L1 is the network’s native coin. It secures consensus, prices computation and storage, pays for execution, helps protect the ledger against indiscriminate state growth and enables community governance—allowing GenesisL1 to operate as independent infrastructure rather than depending on another blockchain.

Blockchain does not make a scientific conclusion true. GenesisL1 makes the exact data, model, execution, result, licence and transfer history independently verifiable.

The question is no longer whether this architecture can be described.

It is what researchers, AI teams, biotechnology companies, scientific institutions and developers will build with an environment that is already running.

Read the white paper:
https://t.co/4RFXaNIXI8

Press release and media resources:
https://t.co/CkNc9X7BRA

This publication is not a token offering, fundraising round or exchange-listing announcement.

#GenesisL1 #DeSci #AI

[Michael Growney @michaelgrowney_]

@elonmusk Spacemind 🚀🧠💫

[X Freeze @XFreeze]

With Grok, you can literally plug xAI's entire stack directly into Hermes Agent and OpenClaw and actually run it powerfully

It comes with a full, powerful suite that makes every other AI plan look obsolete

Grok-powered setup gives you:
• xAI's most powerful models
• Speech-to-text (STT)
• Text-to-speech (TTS)
• Grok Imagine for images
• Grok Imagine for videos
• Native 𝕏 Search built-in
• Native web search
• Massive context window

The best part is that you can literally use these capabilities directly with your existing 𝕏 Premium and SuperGrok subscriptions....not with expensive API bills

There is literally no better deal in AI right now

[Charlie Kirk @charliekirk11]

I have proof I called Connecticut over Michigan. #uconn that's all I am going to say

[Michael Growney @michaelgrowney_]

@BillyM2k 😢

[Michael Growney @michaelgrowney_]

@cb_doge 💯

[Alex Finn @AlexFinn]

Everything you need to master in 2026 to get rich:

• Vibe coding
• OpenClaw
• Running your own local models
• Codex
• Karpathy's Autoresearch
• Building an X audience
• Creating videos
• AI agent swarms
• How machine learning works
• How databases work (been using Convex)
• Using API's
• Training your own LoRAs
• Elimination of doom scrolling