This is INSANE. Just built a fully agentic trading setup with research signals using Hermes Agent and Robinhood. The entire thing runs on GPT-5.6 Sol.
ECONOMY
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Grok 4.5 and Muse Spark Lead Legal Agent Benchmarks at Lower Cost
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Legal Agent Benchmark (
@harvey
): Grok 4.5 and Muse Spark 1.1 achieve SOTA at significantly lower cost and latency: -
Orchestrators Account for Much of Long-Horizon Agent Task Costs
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60% of the cost of a task is the orchestrator. So it’s important to have a cost-efficient intelligent model as your orchestrator even if your objective is to minimize cost of your long horizon agent trajectory.
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Sol Ultra User Reports Spending Two Billion Tokens Overnight
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Yesterday, GPT-5.6 Sol Ultra became generally available. Today, I'm sharing that I accidentally spent 2b tokens overnight and I didn't even solve a 50-year-old math conjecture. This is extremely cool though, skill issue on my part clearly
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High Compute Spending Does Not Guarantee Strong AI Models
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Not everyone will succeed in the model business.
— Cohere (@cohere) 10 juillet 2026
"You've seen a lot of companies spend a huge amount on compute and then not end up with a good model." – @nickfrosst pic.twitter.com/vSYwEYnpd4Not everyone will succeed in the model business. "You've seen a lot of companies spend a huge amount on compute and then not end up with a good model." – @nickfrosst
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LangGraph and Perplexity Produce Cited VC Memos From Parallel Research
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This agent drafts a cited VC investment memo in ~90 seconds for $0.40. 4 LangGraph nodes powered by the @Perplexity_AI Agent API research financials, product, and market in parallel A tool-less synthesizer writes the memo from only what they found Deep dive:
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Muse Spark 1.1 Targets Opus-Level Tasks at Lower Cost
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muse spark 1.1 can be even better than opus 4.8 at 20% of the cost https://t.co/gMfZ7884iE
— Alexandr Wang (@alexandr_wang) 10 juillet 2026muse spark 1.1 can be even better than opus 4.8 at 20% of the cost
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Meta’s Muse Spark 1.1 Competes on Agent Performance and Price
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Many people were doubting Meta's position in the AI race.
— Rowan Cheung (@rowancheung) 10 juillet 2026
Yesterday, they dropped Muse Spark 1.1, now one of the strongest agentic models, and massively undercut OpenAI and Anthropic on price.
When I interviewed Zuck last year, he told me his focus:
"Have by far the highest… https://t.co/AXm96sQVBb pic.twitter.com/tzK9w5TSXhMany people were doubting Meta's position in the AI race. Yesterday, they dropped Muse Spark 1.1, now one of the strongest agentic models, and massively undercut OpenAI and Anthropic on price. When I interviewed Zuck last year, he told me his focus: "Have by far the highest
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Quantum Machine Learning and Optimization for Finance
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CFO, CEO, financial analyst, tech entrepreneur — be future-ready with this book >> "Quantum Machine Learning and Optimization in Finance" (494 pages; 2nd Edition): https://
amzn.to/4lNlBt5 -
Background Automations Can Consume a Significant Share of AI Usage
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I would also recommend taking a look at your automations. They feel 'free' as you are not actively triggering them, but I had a few that consumed probably 10-15% of my 5 hour limit for very little gain.