🕶️ AI models make a mess of Spanish election facts!

Six bullets of updates

1. ✨ LLMs now identify their own errors by analyzing “exact answer tokens,” boosting error detection by 40%.

2. 💸 Young startups raise €3.1B in 2024, with over half targeting AI advancements.`

3. 🔍 New study shows AI models struggle with U.S. election questions in Spanish, highlighting multilingual challenges.

4. 🚗 GM CEO Mary Barra tackles EV affordability and autonomy, alongside a $137M Q3 loss and shrinking market share in China.

5. 📉 Swiggy eyes an $11.3B IPO at a 57% discount to Zomato, aiming to raise $1.34B amid declining market dominance.

6. 🩺 Level Zero Health develops a continuous hormone monitor, tapping into a $30B market for IVF and testosterone support.

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Swing states hustle in startup funding

In the upcoming U.S. election, swing states like Pennsylvania, Michigan, North Carolina, Wisconsin, Georgia, Nevada, and Arizona are not only crucial for deciding the presidency but also stand at a median level in the startup funding landscape. Unlike major venture capitals hubs like California, Massachusetts, and New York, these swing states aren’t known for massive funding rounds. However, they aren’t "venture deserts" either, as they host several prominent startups and venture-backed companies across various industries, from tech and biotech to electric vehicles and gaming.

Each state has its unique startup ecosystem: Pennsylvania leads in biotech and robotics, Michigan shines with auto tech giants, North Carolina’s Research Triangle excels in gaming and biotech, and Georgia has a thriving, if modest, startup scene in Atlanta. Arizona attracts relocating entrepreneurs but lags in venture funds, Wisconsin supports e-commerce and biotech, and Nevada, though small, is diversified with battery and EV companies. Ultimately, while these states contribute significantly to the startup landscape, venture funding trends aren’t expected to impact election outcomes.

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Startup Events and Deadlines

1. Exclusive .TECH Opportunity: Get a FREE consultation with Caya, CEO of Slidebean, for pitch decks and financial modeling. Check your eligibility!

2. Crash Course in Financial Modeling | November 5 | Webinar

3. Financial Modeling Bootcamp | November 11-15 | LIVE 1-week bootcamp

4. Techstars Columbus | November 20 | Columbus

5. Techstars New York City Accelerator | November 20 | New York City

6. Techstars Anywhere Accelerator | November 20 | Remote

7. Techstars San Francisco | November 20 | San Francisco

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These companies just raised money

1. 🚀 Infinite Machine lands $9M from a16z to debut its sleek $10K electric scooter in the U.S. next year.

2. 💰 Mexican fintech Bravo secures $27M from BBVA Spark, supercharging its credit division to combat overindebtedness.

3. 🌟 CXC nabs $32.6M in Series A funding led by Kaszek, riding a wave of big funding news in the startup world!

4. 🔍 Elon Musk’s xAI is eyeing billions in new funding, targeting a $40B valuation—nearly double its current worth.

5. 🌐 Ashton Kutcher's Sound Ventures backs Fei-Fei Li’s AI startup, now valued at $1B, as AI momentum surges.

6. 🌍 Janngo Capital closes a $78M fund, surpassing its goal by 20%, with a focus on African and female-led startups.

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OpenAI’s chip dreams take shape for 2026

OpenAI is reportedly shifting its focus toward developing its own AI chip in collaboration with Broadcom and TSMC, aiming for a 2026 launch. While initial plans included establishing a network of manufacturing facilities, OpenAI has now decided to prioritize in-house chip design instead. This move marks a significant step in reducing dependence on third-party chips, which could ultimately give OpenAI greater control over its AI technology and operational efficiency.

In the meantime, OpenAI has begun utilizing AMD chips, available through Microsoft’s Azure cloud platform, to supplement its model training needs. Previously, OpenAI depended primarily on Nvidia GPUs, but ongoing chip shortages, supply delays, and high training costs have prompted the company to diversify its hardware sources.

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How this company (Accidentally) f*cked us all

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