5 Minutes Every Morning. Smarter All Day.
One email. The biggest AI stories. Zero doomscrolling.
Start your day with trusted AI insights, expert interviews, and practical strategies that help you stay informed, make better decisions, and keep up with the industry's fastest changes.
Today In Ai
1. Sakana AI claims its new model matches Mythos and Fable without using either. The startup just released Fugu, a multi-agent platform that routes tasks across multiple specialist models and claims the combined output rivals top frontier models. It ships as a single API endpoint so there is nothing new to learn on the integration side. Independent benchmarks are still pending, but early results look strong.
2. Google DeepMind loses a Nobel Prize winner to Anthropic. John Jumper, who shared the 2024 Nobel Prize in Chemistry for leading the AlphaFold team, has announced he is leaving DeepMind for Anthropic after nearly nine years. His departure follows Gemini co-lead and Transformer co-author Noam Shazeer's move to OpenAI just days earlier. The talent flow between labs has always been significant. Two exits of this caliber in one week is a different order of magnitude.
3. AI disruption hits Accenture hard as shares fall 18% to a nine-year low. The consulting giant cut its revenue forecast after a 3% decline in new bookings, and investors drew the obvious conclusion: companies are starting to handle work in-house that they once outsourced to consultants. Accenture's stock is now at its lowest point since 2017. If AI is compressing demand for external consulting, the firms most exposed to repeatable, process-heavy work will feel it first.
From The Frontier
The numbers are bad. A new Pew Research survey finds that only 16% of Americans believe AI will have a positive impact on society over the next 20 years. Forty percent expect it to be a net negative. Among people under 30, the figure drops further: just 14% view AI favorably. The generation that grew up with the internet is the most skeptical about what comes next.
The trust deficit has receipts. A UN report projects data center power consumption will nearly double to 945 terawatt-hours by 2030, roughly Japan's total annual electricity use, with AI responsible for 40% of the load and water consumption on track to hit 9.3 trillion liters per year. On the employment side, tech layoffs have already passed 115,000 through May 2026, with many companies explicitly citing AI.
The industry helped build this perception. For the better part of two years, prominent AI leaders warned publicly about mass unemployment and existential risk. Sam Altman cautioned that entry-level white-collar jobs are at serious risk. Dario Amodei predicted AI could eliminate 50% of white-collar work. Those warnings appear to have landed with the public, just not in the way the industry intended.
Now they are walking it back. Altman now says he was "pretty wrong" about his earlier predictions. Amodei has shifted to arguing that AI automation will expand what workers can do rather than replace them. Repairing public trust after two years of apocalyptic framing is a different kind of engineering problem, and there is no benchmark for it yet.
What people are actually watching and sharing
Are you in the weights? A new tool lets you check whether your name is significant enough to have been encoded directly into modern AI training data. See where you rank.
China closes the gap. Zhipu AI's GLM 5.2 model is gaining real traction among developers. Former Meta and DeepMind VP Mat Velloso offered a pointed endorsement that is worth reading if you track the competitive landscape.
Personal wiki. A workflow popularized by Andrej Karpathy shows how to turn every article, transcript, PDF, and note you have ever saved into a searchable second brain. Practical and replicable. 3M views.
Nine years of pain, one prompt. A Reddit user spent nearly a decade cycling through doctors for chronic neck and back pain, then tried ChatGPT. The post about what happened next has generated a serious debate about AI's role in personal health.
300 agents, one answer. A developer went viral for building a system that runs 300 AI agents in parallel, creating a self-correcting feedback loop that catches errors before results are delivered. Worth bookmarking if you work with agentic workflows.
Anthropic's build method. Anthropic engineers published a 40-minute demo on how they use AI to build software from scratch. The key takeaway turns out to be surprisingly simple. 1.1M views.
Prompt Station
Find exactly what is slowing your business down
Most business audits tell you what to add. This prompt does the opposite. Drop in six pieces of context about your business and it builds a full inventory of everything worth cutting, pausing, or simplifying, then maps a 30/60/90-day plan for doing it in the right order. Works in ChatGPT or Claude.
Act as a Strategic Subtraction Consultant. Analyze my business to identify what should be stopped, paused, simplified, or removed to unlock growth. Build a complete inventory of products, services, processes, meetings, commitments, and hidden overhead. Score each item by Value Contribution, Resource Consumption, and Removal Complexity.
Identify and rank the highest-leverage subtraction opportunities, focusing on low-value, resource-heavy activities. For each recommendation, explain why it should be cut, paused, or sunsetted, and map the second- and third-order effects (meetings eliminated, systems simplified, support burden reduced, focus regained).
Create a phased 30/60/90-day subtraction roadmap showing what to remove first, what requires preparation, and how each cut enables future cuts. For every hour, dollar, and unit of attention freed, specify exactly where it should be reallocated based on my growth priorities. Include owners, timelines, and expected outcomes.
Provide communication templates for customers, partners, and team members affected by major changes.
Business Information:
Products/Services: [INSERT]
Recurring Activities: [INSERT]
Team & Allocation: [INSERT]
Revenue Breakdown: [INSERT]
What's Dragging the Business: [INSERT]
Growth Priorities: [INSERT]Fill in each [INSERT] field with a few bullet points or a short paragraph. The more specific your inputs, the sharper the roadmap. If you are not sure what is dragging the business, start there: describe where time goes that never seems to produce results. That answer alone usually generates the most useful recommendations.
The Future Today: Get the AI & tech news that actually matters. With one email, and only five minutes, you can stay ahead of 99% of the world. The Future Today is read by teams at Anthropic, Microsoft, OpenAI, NVIDIA, and Salesforce. Join Free Today →