In partnership with
Welcome, busybees
OpenAI and Anthropic picked the same 24 hours to release their newest models, and neither one looks like it was trying to lose. OpenAI dropped GPT-6 Sol and Luna, both priced at half of what the prior generation cost, with Sol now making roughly half as many factual mistakes as its predecessor. Hours later, Anthropic answered with Claude Opus 5.5, matching its larger Fable 5.1 model on most tasks at 40% less cost, and beating OpenAI's flagship Astra model on several coding benchmarks in the process.
Meanwhile, the company that actually feeds these models their training data just tripled its own valuation.
Here’s what happened in AI today:
• The Same-Day Launch: OpenAI and Anthropic both released major new models within hours of each other, each one cheaper than what it replaces.
• GPT-6 Luna now costs 97.5% less than Opus 5.5 on raw token pricing, the widest gap yet between the two labs.
• Snorkel AI tripled its valuation to $3.5 billion as demand for high-quality training data outpaces demand for raw compute.
• A startup called Ema raised $77 million on the bet that AI is starting to replace entire categories of enterprise software.
• Anthropic says Opus 5.5 often seems to sense when it's being evaluated, making its real-world behavior harder to predict.
• OpenAI's own benchmarks against Opus 5 didn't survive the day, Anthropic released a stronger model before anyone could even run the comparison.
…and a whole lot more that you can read about below.
• OpenAI and Anthropic Just Released Major New Models on the Exact Same Day
OpenAI launched GPT-6 Sol and Luna, cutting API prices in half compared to the 5.6 generation while improving accuracy and coding performance. On OpenAI's own factuality evaluation, built from real conversations where users had previously flagged errors, GPT-6 Sol now makes about half as many mistakes as its predecessor, closing in on the reliability of OpenAI's flagship Astra model at a fraction of the cost. Sol is built for complex work like coding, while Luna targets high-volume tasks like document summarization and information extraction, and can now match the older GPT-5.6 Sol's factual accuracy at roughly one-hundredth of the cost. OpenAI's own benchmarks repeatedly compared the new models against Anthropic's Opus 5, but those comparisons were outdated within hours: Anthropic released Claude Opus 5.5 the same day, its first model in a new 5.5 family, matching the larger Fable 5.1 model on most tasks while costing 40% less to run than Opus 5, and beating GPT-6 Astra on several benchmarks including FrontierCode and CursorBench. Both labs are now explicitly competing on cost-per-completed-task rather than raw benchmark scores alone, a real shift in how the frontier AI race is being fought.
• The Company That Feeds AI Models Their Training Data Just Tripled Its Valuation
Snorkel AI raised a $350 million Series E at a $3.5 billion valuation, nearly triple the $1.3 billion it was worth just 17 months ago. The round was co-led by Insight Partners and S32, with existing backers Addition, Lightspeed, Greylock, and Wells Fargo returning. Snorkel's annualized revenue has grown eighteenfold over the past year to $375 million, driven almost entirely by a shift the company made last year: instead of just selling software for labeling data, it now delivers finished, expert-grade datasets and reinforcement-learning environments directly to frontier AI labs, hyperscalers, and government agencies. CEO Alex Ratner told Reuters the company pairs thousands of specialized human experts with its own automated systems, arguing that "100% of the data that labs will get value out of will have some human input in the foreseeable future," while automation handles the quality assurance at scale. The round is a real signal about where AI's actual bottleneck has shifted: not raw compute, but the quality of the data models are trained on.
Today's Job Board
Senior Backend Engineer | Chime
New York, NY (Full-time)
Build backend infrastructure for the consumer banking platform.
Founding Product Designer | Lovable
Remote (Full-time)
Shape product design for the AI-native app-building platform.
Head of Engineering | Rebill
Miami, FL / Buenos Aires, AR / Bogotá, CO / Remote (Full-time)
Build the financial infrastructure for the Americas.
Forward Deployed Engineer | AviaryAI
Chicago, IL (Full-time)
Build outbound AI voice agents for the financial services industry.
Senior Full Stack Software Engineer | Instrumentl
US / CA / Remote (Full-time)
Automate grant discovery and management for nonprofits.
Senior Frontend Engineer | Authologic
Warsaw, PL / Remote (Full-time)
Build the Stripe-like infrastructure for online identity verification.
Most founders are one system away from turning LinkedIn into their best sales channel.
Engagement is easy to mistake for pipeline. On Sep 30, watch how a founder turns LinkedIn content into real outreach. Live. You'll walk away with a repeatable system: what to post, who to reach out to, and how to sequence it.
Eligible startups also get the LinkedIn-to-Leads Toolkit: ad credits, Apollo, Captions, and HubSpot's Prospecting Agent.
Today's Money Moves 💸
Snorkel AI Triples Its Valuation to $3.5 Billion
Snorkel AI raised $350 million in a Series E co-led by Insight Partners and S32, valuing the company at $3.5 billion, nearly triple its worth from 17 months ago, as annualized revenue grew eighteenfold to $375 million.
Ema Raises $77M as AI Starts Eating Into Enterprise Software
Enterprise AI startup Ema raised $77 million, part of a broader trend of AI companies raising real money on the bet that AI agents can replace entire categories of traditional enterprise software rather than just assist with using it.ear for a company that young.
Today's Growth Recommendation
The best influencer marketing advice comes from people who've actually done it. Return on Influence Festival '26 brings speakers from Oura, Stanley 1913, Adobe, Edelman, and more. October 21, free and online.
Save Your Spot Below ↓
The best influencer marketing advice never comes from a report
It comes from someone who’s been there, done that, and has the receipts. Get ready for Return on Influence Festival ‘26. An entire day dedicated to influencer marketing with speakers running some of the best programs in the world.
October 21, 2026, 10 am - 5 pm ET. Free and online.
Skill of the Day
Stress-Test Your Prompt Before Real Users Do
Before you ship an AI agent's prompt into the world, it helps to see exactly where it breaks first, on your terms, not a customer's. That means simulating the messy, realistic situations an agent will actually run into: vague requests, users who contradict themselves mid-conversation, missing information, and long, winding exchanges that drift far from where they started.
Respan's Prompt Simulations tool does this by generating realistic simulated users and scenarios, then running full multi-turn conversations against a prompt you've already committed to, so you can watch exactly where it holds up and where it doesn't. The workflow is simple: commit the version of the prompt you're testing, generate a batch of edge-case users and scenarios, then review every failure, revise the prompt, and run it again until it holds.
Prompt of the Day
The Edge-Case Simulation Brief
Generate 8-10 realistic simulated users to test this prompt against, including at least one vague request, one user with conflicting requirements, one conversation with missing key information, and one long, multi-turn exchange that drifts off-topic. Run each scenario against the committed prompt below, then report exactly where and why it broke down.
PROMPT TO TEST: [paste your committed prompt version]
Invite friends & get instant rewards
If you enjoy The Incredible Edge, share it to unlock free resources when they subscribe.