Claude Opus 4.7 dropped April 16.
Everyone posted the wins. Here's the full picture β what progressed, what regressed, and what breaks your code. π§΅
π‘ STILL A BILL
NO FAKES Act: federal right over your voice + likeness, 70 years. White House endorsed it by name. SAG-AFTRA, Google, OpenAI, Disney all backing it.
Still in Senate Judiciary Committee.
The EO is real. The law is real. The Framework is a wish list. The NO FAKES Act is a bet. Know which is which.
π΅ POLICY MEMO (not law)
The March 2026 White House Framework is a recommendation to Congress β not a regulation.
Key position: no new AI agency. Route everything through FTC, SEC, FDA, DOE. Congress hasn't acted.
Claude Opus 4.7 dropped April 16.
Everyone posted the wins. Here's the full picture β what progressed, what regressed, and what breaks your code. π§΅
β‘ What breaks your code:
β temperature / top_p / top_k β removed entirely, 400 if you pass them
β Extended thinking β only "adaptive" mode supported now, "enabled" + budget_tokens = 400
Check your API calls before you deploy.
* Cloudflare Workers AI = open-source models (Llama). Dollar figures arenβt capability-comparable to Claude or GPT-4o-mini.
But: Cloudflare AI Gateway can proxy Anthropic/OpenAI calls and cache those too. Theyβre not alternatives β they stack.
Full repo with all 4 demos:
https://t.co/pAPAl3dBsh
β±οΈ The surprising finding β hours freed at 1M requests:
Cloudflare: 432 hrs
Bedrock: 379 hrs
Anthropic: 317 hrs
OpenAI: 218 hrs
Cloudflare wins on time saved β not because of the model, but because gateway hits return in 498ms vs 2,100β2,500ms for the others.
Stack semantic β prefix β KV. They're a cascade, not alternatives.
Next: same stack, 4 providers, real API calls, real costs.
At 1M requests β one provider saved 432 hours of compute time.
It's not who you'd expect.
Numbers and stats dropping soon.
ποΈ Semantic Cache β intercepts before any API call is made
"Recommend a thriller" β "suggest a suspenseful film"
Cosine similarity: 0.86 β return cached response
Cost: $0.00
Latency: <1ms vs 2,845ms baseline
No model called. No tokens spent.