Basel234

Eiso Kant walks through the setup here and reproducibility is what I keep flagging with my teams.
When you ship apps daily, the real win is rerunning last week's experiment and trusting it for new features and scaling it, this sounds much easier than it is :)

The model fits on a single DGX Spark and runs at 30 - 40 tokens per second, beating open-weight systems near 10x its size.
We over-provision because we assume scale is the only lever, but they pulled persistence and backtracking out of a small model instead.
If a team under 70 people can build infra this tight, what does that say about how lean the rest of us builders and operators could run if reproducibility were the first feature instead of the last?

I will be hosting a working session with @FirmAdaptAI on How to Automate Your Small Business Without Overspending on Tuesday, July 14, at 12:00 PM EST
I will walk through how to automate complex business processes, when to use AI agents, & deploy AI in an online store, specifically targeting Shopify, WooCommerce, BigCommerce, Wix, Magento, and Etsy owners
Would love to have you join; you can register for FREE here:

Marvell Technology $MRVL is sitting at a composite outperformance score of 83 on the Asset Outperformer Engine (AOE) today with a 30-day return of +36% and Phase B confirmation across all 5 benchmarks.
Seagate $0AD3 is at 73 with +60%, Texas Instruments $TXN at 73 with +35%, and the semis ETF at 75 with +34%.
Semi-exposure is dominating the top of the board across single names and the sector ETF, ranked by relative strength against $BTC, $ETH, $SOL, $Gold, and $SPY rather than a single index.
Same scoreboard: all asset classes side by side.
This benchmark is strong, so assets that outperform i

Please join me in my 2-hour AI Automation & Business Process Reengineering workshop on May 6, at 7:00 PM EST.
It's FREE! You can register here:
It should be really fun, I will go through:
> Live company audits to diagnose operational inefficiencies, costing $
> Interaction with Son of Basel and virtual employees LIVE in real-time
> 90-Day AI Transformation Roadmap for your business
> Open Q&A to talk through industry-specific cases

Here's what most people don't realize about contact data:
Static databases die fast. A contact list that was 90% accurate 6 months ago? Probably 60% accurate today.
People change jobs, emails, and phone numbers. Your outreach dies with stale data.

The shift is real: teams are moving from 'spray and pray' email to multichannel outreach.
You need verified mobile numbers for calls/SMS + multiple email touchpoints. One bad database kills your entire sequence.
QUESTION: How often does YOUR contact data refresh?

Welcome to our live show!