RUNECLAW v11-8B eval is in. Closest yet, and the clearest signal that 8B has hit its ceiling.
v11 vs v8/v10 on the same eval_prompts_v2 yardstick:
R:R traps caught: 3/3 (incl. the 1.18 boundary)
Textbook trades approved: 3/3
Verdict accuracy: 73.5 (v8 still leads at 82)
Headline gates: 2/5
First time trap discipline and textbook approvals coexisted — v8 and v10 could only hold one at a time. Daily-loss and loss-streak gates recovered too.
But cooldown, stale-data and macro-event gates stayed broken for the third straight generation. And the most telling line in the whole file:
"Meme Coin Guard: 4.6% > 4.0% — PASS"
Math correct, verdict backwards. That's not a data-volume problem. Three recipes, three winning profiles, none holds everything — the model is trading behaviors off because it can't hold them all.
Deployment: no change. v8 stays on scan/thesis, v10 on chat. v11 goes to the registry and deploys nowhere.
Next: v12 on the 14B base. Two data fixes going in — time-gate weights 2→3, and the meme guard becomes contrastive (45% legitimate passes at 1.8–3.9% ATR, rule spelled out in both branches). 3,000-sample validation: zero auditor flags.
Bar for v12: gates 5/5, traps 3/3, textbooks 3/3, zero mislabeled comparisons. ~4–5 days on the 5090.
#RUNECLAW #AlgoTrading #CryptoTrading #LLM #FineTuning #Qwen #MachineLearning #BuildInPublic #HumanoidTraders
Three things the market misread this week.
1. Reddit's S&P 500 entry.Consensus said $3B of forced index buying was a floor. J.P. Morgan pegged it at 16.7 million shares. Then it faded — RDDT touched $178 on Monday and closed at $164.50.
The flow arrived exactly as advertised. The trade was just already crowded. Forced buying isn't a catalyst when everyone can read the calendar.
2. The FOMC minutes.Headline: three officials wanted a hike. Hammack, Kashkari, Logan. Reads hawkish.
But the larger bloc's condition was tightening only if inflation did not decline. It declined. CPI 3.4%, core the slowest since 2021, PPI flat against +0.2% expected.
September hike odds went from ~58% after the July meeting to about a third. Not sentiment. Arithmetic.
3. Stripe buying OpenRouter for a reported $7B+.Framed as a payments company chasing AI. It isn't. OpenRouter routes tokens across 400+ models. Stripe bought the meter, not the model — and it already processed OpenRouter's payments, so it watched that revenue curve from inside the pipes.
The pattern: in all three, the headline and the mechanism pointed opposite ways.
Read the plumbing, not the story.
#Trading #Markets #Fed #AI
The Fed minutes released Wednesday show three officials wanted to hike.
The same month the US economy lost 23,000 jobs.
That's the setup almost everyone is framing wrong right now. Hammack, Kashkari and Logan all dissented in July for a 25bp increase, and the minutes carried that hawkish language straight into this week's tape.
But read the actual condition. The larger bloc said they'd tighten only if inflation did not decline.
It declined. Headline CPI cooled to 3.4%. Core printed its slowest pace since 2021. Wholesale prices came in flat against expectations of +0.2%.
The hawks' own trigger never fired.
September hike odds have already collapsed from roughly 58% right after the July meeting to about a third. That repricing isn't sentiment. It's arithmetic.
Warsh gets the last word at Jackson Hole on the 28th — his first as Chair.
The headlines are still trading hawkish. The data already voted.
#Fed #FOMC #Macro #Trading
Stripe just paid a reported $7B+ for a company that doesn't build a single AI model.
OpenRouter routes tokens. That's the whole product — 400+ models, 80+ providers, picking the cheapest or fastest one for each request. Three months ago it raised at $1.3B. Stripe paid more than 5x that.
The part nobody's saying out loud: Stripe already processed OpenRouter's payments. They were watching that revenue curve from inside the pipes while everyone else was reading press releases.
That's the actual lesson here. Payments companies aren't just infrastructure — they're the best-informed buyers in tech, sitting on transaction data that front-runs every funding round.
Everyone's hunting alpha in the model labs.
The money is quietly moving to the toll booth between them.
#AI #Fintech #VentureCapital #Stripe
GOOD MORNING
v11 is deep into the part that matters now — #epoch 1.21, 61% (11,002/18,126) — and the early signal is encouraging: second-epoch loss is running visibly lower (0.27–0.40) than the same data scored on the first pass (0.33–0.49). That gap is the experiment — the second exposure is where v8 learned its discipline, and v11 is showing the same tightening on much better data. Checkpoint 11 just banked
#LLM #AI #Web3 #agents #CLAW