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[Webinar] Can you prove AI is working? |
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AI is in your engineering workflow. While the token spend shows it, the throughput doesn't. The human is very much still in the loop, and that's a context problem. |
Join live on Aug 19 (FREE) to see: |
The 4 metrics to measure the gap where gains leak out before production.
The 8 stages of context maturity, the specific walls capping your metrics, and a free tool to pinpoint where your team is
Why more MCPs and bigger context windows aren't enough and what it takes to get real value from your agents.
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xAI just picked a fight on price. Grok 4.6 now matches OpenAI's GPT-5.6 Sol on independent benchmarks, but it costs about half as much to run - and it's already live in Cursor, OpenRouter, and Grok Build. |
That combination - frontier intelligence at a discount - is exactly the kind of pressure that forces every other lab to defend its pricing. If speed and quality are converging across the board, price may be the next battlefield. |
Today in AI: |
Grok 4.6 matches GPT-5.6 at half the price
DeepMind turns sign language into text instantly
Lovable raises $400M to build apps with words
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What's new? xAI released Grok 4.6, a frontier model built for long-running agent tasks and more ambitious visual work, and it now matches OpenAI's GPT-5.6 Sol on the Artificial Analysis Intelligence Index while charging a fraction of the price. |
What matters? |
It's dramatically cheaper. Grok 4.6 costs $2 per million input tokens and $6 per million output tokens - about half what comparable frontier models charge, with a faster tier at double that rate.
It's built to keep working, not just answer once. The model is tuned to stay on task across many steps, whether that's researching a topic, working across a codebase, or turning an idea into a finished visual project.
You can try it today. It's live in Cursor, Grok Build, the API console, OpenRouter, Vercel, and Cloudflare, with 2x included usage for the first week.
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Why it matters? |
A frontier-level model at half the going rate changes the math for anyone building on top of AI, not just chatting with it. If Grok 4.6 holds up outside the benchmarks, it pressures every other lab charging premium prices for comparable intelligence. |
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GUIDE |
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What's new? Google DeepMind unveiled SL2T, a sign-language-to-text model that now powers real-time ASL translation in Gboard and Live Transcribe on the new Pixel 11, turning signing into English text as you sign. |
What matters? |
It skips the middle step. SL2T translates sign language directly into text instead of relying on intermediate annotations, the bottleneck that limited earlier translation attempts.
It's trained on real signing, at scale. The model learned from more than 100,000 hours of data spanning over 50 sign languages, starting with ASL-to-English.
It protects the signer's privacy. On-device pose tracking extracts geometric hand and body coordinates and immediately discards the original video, so raw footage never leaves the phone.
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Why it matters? |
Typing has never been the fastest way for a fluent signer to communicate, and SL2T is the first mainstream product to close that gap directly on a phone. Built with a dedicated Deaf community advisory committee, it's a rare case of an AI feature designed with its users from day one rather than retrofitted for them. |
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SPONSORED BY ROKU |
How Jennifer Aniston's LolaVie brand grew sales 40% with CTV ads |
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The DTC beauty category is crowded. To break through, Jennifer Aniston's brand LolaVie, worked with Roku Ads Manager to easily set up, test, and optimize CTV ad creatives. The campaign helped drive a big lift in sales and customer growth, helping LolaVie break through in the crowded beauty category. |
Learn more |
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What's new? Lovable raised a $400 million Series C at a $13.3 billion valuation, led by Menlo Ventures, to grow its AI tool that turns plain-language prompts into working software and business tools. |
What matters? |
People are actually using it. The platform has generated over 60 million projects and now sees 900 million monthly visits, with usage reaching roughly two-thirds of Fortune 500 employees within its first year.
It's grown past just building apps. Recent additions include built-in payments, SEO tools, and integrations with Google Workspace, Microsoft 365, Salesforce, Stripe, and ElevenLabs.
The company is hiring to match. Lovable plans to grow to roughly 450 people, adding machine learning, product, and security roles across five cities.
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Why it matters? |
A $13.3 billion valuation for a tool anyone can use to describe an app into existence says investors think natural-language building is becoming the default, not a novelty. For readers who've never written a line of code, that gap between idea and working product just got a lot narrower. |
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Everything else in AI |
Meta open-sourced Muse Glimmer, a 30-billion-parameter agentic model that runs entirely on a single consumer GPU and works with Ollama, LM Studio, and llama.cpp. |
OpenAI designated its Astra model as its first "critical" cybersecurity-capable system, triggering deeper safety testing before wider release. |
Claude advanced a decades-old bound in number theory, pushing the proven zero-free region of the Riemann zeta function from 41.6% to 67.2%. |
DeepSeek released V4 Pro, a mixture-of-experts model with a 1-million-token context window priced at $0.435 per million input tokens. |
Want more out of your AI stack? Grab the Complete AI Bundle - prompts, workflows, and guides built for people who actually ship with AI. |
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