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WORK WITH US • COMMUNITY • PODCASTS
Monday’s AI Report
• 1. 🔐 Anthropic bolsters its AI security
• 2. ✅ Invest in this pre-IPO with Mode Mobile
• 3. 🌍 How this start-up slashed labor costs by 40% using AI
• 4. ⚙️ Trending AI tools
• 5. 🚫 Trump scraps Biden's AI safety projects
• 6. 💰 Meta makes biggest deal ever?
• 7. 📑 Recommended resources
Read Time: 5 minutes
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Anthropic bolsters its AI security
🚨 Our Report
Just a day after releasing a set of custom-made “Claude Gov” AI models designed for US national security companies to help them address “real-world operational needs,” Anthropic has added national security expert—Richard Fontaine—to its “Long-Term Benefit Trust (LTBT).
🔓 Key Points
Anthropic’s LTBT is a trust, set up to help it prioritize safe AI over profit, and currently has a board of five AI experts (with no monetary interest in the business) in safety, national security, public policy, and social enterprise.
According to Anthropic CEO, Dario Amodei, Fontaine’s hiring will strengthen the LTBT’s “ability to guide Anthropic through complex decisions” about developing AI, in line with national security concerns.
Fontaine is the CEO of the Center for New American Security (CNAS), was previously a foreign policy advisor to Senator John McCain, a professor of Security Studies, and part of the Defense Policy Board.
🔐 Relevance
Anthropic is increasingly looking for ways to strengthen relationships with US government national security and defense companies, after releasing its Claude Gov models and recently partnering with data analytics firm Palantir and AWS to deliver AI solutions to defense customers.
Sold-out (twice) tech raise just for accredited investors
Mode Mobile filled its last two raises 100% – and quickly.
With over $75M+ in revenue, 32,481% growth, and $52M raised from 50,000+ investors, it’s one of the most traction-backed pre-IPO offerings on the table.
Now it’s open again, but just to accredited investors.
This may be the last window before public markets get a hold. No speculation. No buzzwords. Just real users, real revenue, and a Nasdaq ticker already secured.
Accredited investors can review full details while this round is still live ⬇️
Read the offering circular at invest.modemobile.com
How this start-up slashed labor costs by 40% using AI
Health startup, Fella, needed to deliver personalized health coaching at scale (without increasing headcount), while maintaining user engagement.
They implemented AI health coaches to automate client interactions and prediction models to detect when someone was likely to disengage.
They used NLP to assess responses and improve support messages and personalization engines to auto-adjust coaching based on progress.
As a result, AI handles 70% of client interactions, reducing human coaches, lowering labor costs by 40%, and improving user retention by 28%.
President Trump has scrapped President Biden’s initiatives around a) testing AI systems to defend energy infrastructure, b) prioritizing AI security research, and c) asking the Pentagon to “use AI models for cybersecurity.”
He also removed requirements that agencies start using quantum-resistant encryption, refocusing the USA’s AI cybersecurity strategy “towards identifying and managing vulnerabilities, rather than censorship.”
He made these changes after blasting the Biden administration for trying to “sneak problematic and distracting issues into cybersecurity policy,” just days before he took office.
Meta is reportedly about to inject a massive amount of funding into Scale AI—co-founded by Alexandr Wang—which provides data labeling services to major tech companies (including OpenAI) to help them train their AI models.
If successful, the capital injection (which is rumored to exceed $10B) will be Meta’s biggest external AI funding deal to date and will be one of the largest funding events ever seen for a private company.
Meta has previously invested in Scale AI, during its $1B Series F funding round (which valued the start-up at $13.8B) and Scale AI also helped develop “Defense Llama” for the US military and Meta’s Llama 3.
Analyzing unstructured data with LLMs and agents
a16z partner, Guido Appenzeller, discusses the impact of LLMs on analyzing unstructured data and shares his vision for how AI agents could take this even further.
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