- https://teapawt.net/t.co/JJJZp2GDaz - your coding agents and subs in the cloud - https://teapawt.net/t.co/4x2WpGVym6 - https://teapawt.net/t.co/AeMxaB7iKy - https://teapawt.net/t.co/U3SS9tzmFb prev built https://teapawt.net/t.co/tDVrtqQJzn
Cyprus
Joined May 2016
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[fable 5.2 high] … “is the top of the Pareto curve. Often, Fable-class models are incredibly powerful but prohibitively expensive - this was not the case here.”
The model is quite cost effective on “high” reasoning level, at only $17.94 / test, this makes it cheaper than both Opus 5.5 and GPT-6 Astra.
It is the top of the Pareto curve. Often, Fable-class models are incredibly powerful but prohibitively expensive - this was not the case here.
This is partially driven by Anthropic dropping the cost by 20% per-token: from $10 / $50 to $8 / $40 per million tokens.
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multiplayer ADE level up: chatting with your team in your ADE
now available in Polaris @plrs_sh
cli ≫ mcp
you can now give your local agents polaris cli to handoff work to the cloud
try it out here -> plrs.sh/
live machine resizing is now available in Polaris
Polaris lets you run coding agents in the cloud using your existing subscriptions
you can now resize their machines on the fly
is this what you get from an "autopilot for software engineering"?
i wouldn't expect the insides of a "high octane Ferrari" to look like this
pricing.html
> /* ========================================= Navigation (matches the main page nav exactly) ========================================= */
Launching @vorfluxai : The autopilot for software engineering. I was prev co-founder / CTO of @Rippling ($10B) and #1 coder in India. Vorflux is my high octane Ferrari.
Every AI coding tool still makes you fly the plane. That's the copilot model: you stay in the seat, approving every turn. The models quietly got good enough to fly the whole route, but the tools never caught up.
So we built the autopilot.
@vorfluxai raised a $15M seed by @ycombinator @peakxvpartners @alliancedao @parkerconrad @jake_zeller @balajis @nivi @metakovan @lmrankhan @nikitabase @0xrwu @ayushjaiswal @mattshumer_ @eshamanideep @sreeramkannan @dvcoolster @nusimow @TeddySolomon11 @ashtoncofer @rvivek etc
Drop your biggest engineering bottleneck below. I'll reply with how I'd attack it with Vorflux, and hand you $200 in free credits to bang out your backlog.
Our full thesis 🧵👇
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> If this gets blocked, I owe you a reset.
this industry is brutal
If you aren't yet bold enough to install the Codex app, you can stay in the presence of your orange crab and point it at GPT 5.6 Sol. Takes 5 minutes. Kudos to Theo for explaining one of the ways to get this done.
Step 1: Install CLIProxyAPI
Step 2: Connect
Step 3: Define following alias and enjoy claudex
```
alias claudex='CLAUDE_CODE_SUBAGENT_MODEL=gpt-5.6-sol \
CLAUDE_CODE_ALWAYS_ENABLE_EFFORT=1 \
CLAUDE_CODE_MAX_TOOL_USE_CONCURRENCY=3 \
ENABLE_TOOL_SEARCH=false \
claude --model gpt-5.6-sol'
```
If this gets blocked, I owe you a reset.
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…getting strong distillation aromas from this one…
> Small caveat: [...] pass swe-1-7, but an earlier smoke response self-labeled oddly as fable-5 [...]
Introducing SWE-1.7, the most capable model we’ve trained yet.
It scores within a few points of the strongest frontier models at a fraction of the cost, and is now available at 1000 tok/s.
RL is not hitting its limit: after refining our recipe, we keep seeing gains as we scale
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