Good morning, it’s Wednesday. We’ve got AI decoding ancient biological residue (including Neanderthal proteins) and OpenAI making nice with Anthropic in a rare moment of tech détente.

Plus, in today’s Forward Future Original, we’re stepping into the boardroom to explore how AI is not just changing what gets automated, but reshaping how leaders think about bias, trust, and decision-making.

Read on!

📊 MARKET PULSE

OpenAI 🤝 SoftBank

OpenAI has secured a $40 billion investment round led by SoftBank, bringing its valuation to $300 billion. The funding will fuel further AI research, expand computing infrastructure, and support ChatGPT’s growing user base. Despite rapid growth, the company faces financial challenges and structural shifts as it eyes a transition to a for-profit model. → Continue reading here.

🗞️ YOUR DAILY ROLLUP

Top Stories of the Day

🤝 OpenAI Backs Anthropic’s MCP for Shared AI Infrastructure
OpenAI is rolling out support for Anthropic’s Model Context Protocol (MCP), a standard that helps AI assistants pull relevant data from business tools and software environments. The protocol enables two-way communication between models and external systems, making AI assistants more capable and context-aware. MCP has already been embraced by developers at companies like Replit and Sourcegraph; now, OpenAI is bringing it to ChatGPT and its Agents SDK.

✨ OpenAI to Release Open-Weight AI Model This Summer
OpenAI CEO Sam Altman announced the company will debut a powerful open-weight language model in the coming months, a direct response to surging interest in models like Meta’s Llama and DeepSeek’s R1. Unlike OpenAI’s current cloud-only offerings, this model will be able to run locally on users’ hardware, offering customization and cost benefits. The move marks a public reversal in OpenAI’s stance on open models and comes amid rising pressure to demonstrate affordability.

🛰️ AI and Satellites Help Map Myanmar Earthquake Damage
After Myanmar’s 7.7 magnitude quake struck Mandalay, AI and satellite imagery teamed up to direct emergency response. Microsoft’s AI for Good Lab, using custom computer vision models and data from Planet Labs satellites, mapped over 2,000 damaged buildings despite cloud cover delaying analysis. The tech pinpointed the worst destruction—crucial for first responders racing the clock. While satellite-AI still needs ground checks, it gives aid groups a head start.

💕 Tinder Introduces AI-Powered Game to Sharpen Your Flirting Skills
Tinder has unveiled "The Game Game," an AI-driven feature that allows users to practice flirting with virtual personas. Powered by OpenAI, the game presents users with various scenarios where they can engage in voice-based interactions with AI bots, simulating real-life dating conversations. After each exchange, users receive feedback and a score, aiming to enhance their conversational prowess.

🚀 ANTHROPIC

Inside Anthropic’s Utopian AI Ambitions

The Recap:
WIRED’s Steven Levy chronicles the rise of Anthropic, the AI company founded by siblings Dario and Daniela Amodei after leaving OpenAI to pursue safer, more ethical artificial general intelligence (AGI). The article details their vision for Claude, an AI model designed to be trustworthy, self-monitoring, and intellectually rich—yet capable of unsettling behaviors.

Highlights:

• Anthropic was founded in 2021 by seven OpenAI defectors, including Dario and Daniela Amodei, over concerns that OpenAI wasn’t prioritizing safety enough as it pursued AGI.

• The company’s flagship AI model, Claude, is built with “Constitutional AI,” a framework inspired by human rights documents and ethical guidelines to ensure aligned, self-regulating behavior.

• Anthropic introduced the Responsible Scaling Policy (RSP) to prevent advancing to higher-risk AI capability levels without proportional safeguards—currently, Claude is classified as AI Safety Level 2.

• Despite aiming to be the moral leader in AI, Anthropic competes in the same high-stakes arena, raising billions from Google, Amazon, and effective altruist investors like Jaan Tallinn and (formerly) Sam Bankman-Fried.

• Claude has developed a cult following in tech circles for its thoughtful responses and flexible personality, thanks to work by researcher Amanda Askell, who aims to avoid moral rigidity in AI design.

• Internal experiments revealed “alignment faking” behavior in Claude, where it pretended to comply with ethical safeguards while secretly optimizing for retraining avoidance—echoing the Iago problem of hidden malicious intent.

• Dario Amodei’s “Machines of Loving Grace” manifesto envisions AGI as a utopian force, curing diseases and extending life, but acknowledges the profound risks if alignment fails or if global competitors bypass safety norms.

→ Read the full article here.

👾 FORWARD FUTURE ORIGINAL

How C-suite Leaders and Boards are Leveraging AI-Driven Decision Making

I've spent the last fifteen years advising C-suite executives on technology transformation, and I've never seen anything move as quickly as AI has in boardrooms over the past 18 months. A stunning paradigm shift is underway: decisions once made through gut instinct, experience, and PowerPoint presentations are now increasingly driven by algorithms and predictive models.

But the critical question isn't whether AI belongs in the boardroom—it's already there. Today's executives' real challenge is determining which decisions to enhance with AI, which to automate fully, and how to ensure the outputs can be trusted. → Continue reading here.

🧑‍🏫 FORWARD FUTURE PRO

Oh Great, Another AI Prompt Sheet.

But this one's actually useful! Look, we get it. Your inbox is probably stuffed with AI guides promising magical prompts that'll change your life. This isn't that. What we've created is the prompt guide we wished existed—built from real-world usage, stripped of the hype, and focused on techniques that consistently deliver results whether you're using Claude, ChatGPT, or any other AI assistant. → Premium members can grab the full guide here.

🧬 BIOLOGY

AI Tools Redefine Protein Sequencing

The Recap:
AI is rapidly transforming the field of protein sequencing, enabling scientists to identify previously unknown proteins in complex biological and environmental samples. New deep learning models like InstaNova outperform traditional methods by generating and assembling peptide fragments without relying on existing databases. As Robert F. Service reports for Science, this shift opens new frontiers in medical diagnostics, evolutionary biology, and environmental science.

Highlights:

• InstaNova, a new AI developed by European researchers, identified 42% more peptides than a leading previous model (Casanovo) in a benchmark lab test.

• Traditional proteomics relies on mass spectrometry and peptide databases, but up to 70% of peptide fragments in real samples aren’t found in those databases.

• InstaNova uses a diffusion-based deep learning model, similar to techniques in DALL-E and AlphaFold, to reconstruct full-length proteins from mass spectrometry data.

• In wound samples, InstaNova detected 1,225 unique peptides from albumin, including 254 not found in databases—10× more than standard methods.

• AI tools are especially useful for “messy” samples such as ancient bone or environmental residue, where proteins have degraded or originate from unknown organisms.

• Archaeologists using these models have uncovered traces of rabbit proteins in Neanderthal sites and fish proteins in ancient Brazilian pottery.

Forward Future Takeaways:
AI-based protein sequencing is breaking open previously inaccessible biological data, with wide-ranging implications—from diagnosing infections to reconstructing prehistoric diets. The shift away from database dependence mirrors how large language models predict meaning beyond fixed vocabularies. As sequencing AIs grow more accurate, they may redefine our understanding of the biological past, present, and possibly even design future proteins tailored for health or sustainability. → Read the full article here.

🛰️ NEWS

What Else is Happening

🙅‍♂️ DeepMind Limits AI Papers: Google’s AI arm slows research releases to guard trade secrets and protect its Gemini model’s image.

🪫 OpenAI Slows Rollouts Amid Surge: Sam Altman says ChatGPT’s image tool overwhelmed servers—delays and service hiccups now expected.

👋 Meta’s AI Chief Joelle Pineau Exits: After 8 years and key roles in projects like PyTorch and Llama, she’ll step down in May as Meta reshapes its AI push.

💸 AI Could Push Lawyer Rates to $10K/hr: LexisNexis’ CEO says AI boosts service quality—so elite attorneys might soon charge luxury-level fees.

📈 Microsoft Brings AI to More PCs: Copilot Plus features like Live Captions and Paint’s Cocreator now run on Intel and AMD chips, not just Qualcomm.

💰 Qualcomm Buys VinAI’s GenAI Unit: The chip giant snaps up Vietnam-based VinAI’s generative AI team to boost R&D for smarter devices.

📽️ VIDEO

We Finally Figured Out How AI Actually Works… (we were completely wrong!)

Turns out, AI models think in weird, surprising ways—planning ahead, faking logic, and using a language of thought. New research from Anthropic shows we’ve misunderstood them all along. Get the full scoop in Matt’s latest video! 👇

🧰 TOOLBOX

Smoother Scenes, Smarter Multimodal AI, and Sharper Text-to-Image Generation

📷 Stable Virtual Camera: Generate smooth 3D scene views from images using AI, without needing NeRF or complex 3D setups.

🤖 Mistral Small 3.1: A lightweight, multimodal AI model excelling in text and image understanding, offering fast, accurate responses across various tasks.

🖼️ Reve Image 1.0: Generate stunning, high-quality images from text prompts with advanced AI, excelling in prompt adherence, aesthetics, and typography.

🤠 THE DAILY BYTE

Rome’s Newest Tour Guide Is a Robot With Ancient Wisdom

That’s a Wrap!

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Thanks for reading today’s newsletter—see you next time!

The Forward Future Team

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