Introducing the next version of Son of Basel, powered by @FirmAdaptAI

This is a completely custom-designed and engineered clone of me, managing a team of digital employees who work 24/7/365, always available and infinitely scalable as needed.

I have Son of Basel join me for all m directly to brainstorm and get progress updates.

This took FOREVER for us to build, and I am really proud to be sharing it

There is absolutely nothing like it on the market as it's my clone!

Using a proprietary, finely tuned, and calibrated set of models designed to mirror me

Core Automation trained one AI model in two data centers 9,000 miles apart, and it came out about 1% better than training in one place on the same compute.

The US and Asian sites only had to exchange updates every 50 training steps. I like these types of tests.

AI coding agents can write code that runs and still fail at the real job. In a Sejong University test, Claude Code with Sonnet 4.6 wrote robot training code that ran 9 times in 10...

...yet none of it got a simulated robot to walk.

Real-life production tests are critical!

Read more here arxiv.org/abs/2611.04974

ChatGPT's top product pick changes with the order it sees the links in. The same rewritten pages came first 74% of the time in one link order and 94% in the reverse order.

University of Illinois researchers tested it with 80 made-up brands as part of a GEO experiment. I like these in the wild tests because we don't know exactly why some content ranks higher than other content

In an Imperial College London test, simple fixed rules beat a second AI at catching a small AI's bad moves in a simulated chemical plant.

With rule checks, Meta's Llama 3.2 3B shut the plant down in 7/20 faults, against 15 when another AI checked its work, pretty interesting

Claude Opus 5 aced the individual tasks of one project, averaging 88 out of 100, but the finished work it handed in scored only 55. It still had the top score on DeliverBench, a new test built from real professional work like financial due diligence.

Microsoft built Copilot Cowork and launched it worldwide in four and a half months, with AI agents writing most of the code. On one day in October, nine engineers merged 1,211 code changes into it.

Pretty impressive!

A team of AI agents trained to split up the work finished 4 times faster than a single agent on the same budget. General Reasoning trained teams of up to 9 agents that share one reward, so they learn to work in parallel.

One year in crypto (Oct 19 to Oct 19):
Bitcoin -25%
Ether -40%
Solana -44%
S&P 500 +15%

At their lowest point in that year, Bitcoin was down 49% from its high, Ether 62% and Solana 69%.

One year, three assets:
Apple +29.5%
Nvidia +18.5%
Bitcoin -24.6%
S&P 500 +14.5%

Over the same year Nvidia insiders sold about $2.0B of stock in 240 sales, and made no open-market buys.

GameStop CEO Ryan Cohen has bought GME on the open market five times since Sep 10.

About $97M in total. The latest: $22.8M on Oct 13 at $26.98 a share.

He now holds 42.49M shares, worth about $1.12B.

Quick Introduction to the Asset Outperformer/Underperformer Engine (AOE)

Quick Introduction to Prediction Alpha

World's Only Prediction Market Mispricer, Whale Watcher, and Arbitrageur

Quick Introduction to the Altcoin Market Scorecard (AMS)

Basel built a tool from 2030

Quick update on the open trades posted to Trade Alpha across multiple asset classes by @BaselIsmail

Source: blockcircle.com/trade-alpha

Introduction to Blockcircle Games!

Daily financial market puzzles and games at every level of difficulty

Highlights:
> Guess The Chart?
> Is this project or company Alive or Dead?
> Which politician or insider traded this stock?
> Whale watching?