In partnership with
Investors see ANOTHER return from Masterworks (!!!!)
That’s 6 sales in 7 months. 29 all time. And the performance?
16.5%, 17.6%, and 17.8%, net annualized returns on sold works held longer than one year (See all 29 at Masterworks.com)
It’s not from stocks, private equity, or real estate… it’s from contemporary and post war art. Crazy, right?
With Masterworks, you don’t need to be a BILLIONAIRE to invest in multi-million dollar art anymore.
Historically, the segment overall has had attractive appreciation and low correlation to stocks.*
Masterworks targets works featuring legends like Banksy, Basquiat, and Picasso, identifying what they believe to have significant long-term appreciation potential, not just at the artist level but at the level of individual artworks.
As one of the largest players in the art market, with $1.3 billion invested over 500 artworks, they pass critical advantages through to their 70,000+ members to add art to their portfolios strategically.
Looking to diversify your investments in 2026?
*According to Masterworks data. Investing involves risk. Past performance is not indicative of future returns. See important Reg A disclosures at masterworks.com/cd.
Good morning ☀️, leader of the next generation.
We will talk about agents. AI agents.
They will change the way how we do business, how we interract and even how we do our everyday lives.
Agents will build business.
Agents will organize your day.
Agents will fill up your fridge.
I will let that sit in here for a while, so we can imagine and build the future together one agent at a time...
⚡ WHAT'S AT STAKE TODAY ⚡
- 🤖💰 Anthropic launches Claude Sonnet 5 as a cheaper way to run agents
- 🛒💵 Amazon launches new $1 billion FDE org, following OpenAI and Anthropic
- 🖥️📈 Nvidia competitor Etched hits $5B valuation, $1B in sales for AI chip
- 🪙🤝 Crypto exchange OKX wants AI agents to hire and pay each other
- 🔒💬 Lumo, Proton's privacy-focused AI chatbot, gets an upgrade
- 🎙️📰 Podcasting platform Riverside enters the newsletter publishing game
- 🐦🛠️ X now offers an MCP server to make its platform easier for AI tools to use
- 🔬🧠 Anthropic's Claude Science bets on workflow, not a new model, to win over scientists
- 📱⌨️ Acti puts AI agents directly into your smartphone keyboard
What’s your #1 financial headache as a business owner?
Anthropic's new mid-tier model delivers near-flagship performance at significantly lower cost.
Anthropic launches Claude Sonnet 5 as a cheaper way to run agents
Anthropic has released Claude Sonnet 5, an upgraded version of its mid-size model designed to handle complex agentic tasks at a lower price point. The model can make plans, use tools like browsers and terminals, and run autonomously — capabilities that, until recently, required larger and more expensive models.
The launch reflects a broader industry shift. OpenAI and Google have made similar moves in recent months. OpenAI's GPT-5.6 Sol, launched last week, enables users to split work across subagents for longer autonomous tasks. Google's Gemini 3.5 Flash, released in May, was positioned as a shift from conversational chatbot to agentic workhorse. The message from all three companies is the same: agentic capability is no longer a premium feature — it's the new baseline.
With that in mind, the real competition is shifting toward cost and reliability. Sonnet 5 is priced at $2 per million input tokens and $10 per million output tokens through August 31, after which it rises to $3 and $15 respectively. That makes it cheaper than Anthropic's own Opus 4.8, as well as OpenAI's GPT-5.5 and Google's Gemini 3.1 Pro — though it remains pricier than Gemini 3.5 Flash. Starting Tuesday, Sonnet 5 becomes the default model for free and Pro plan users across all subscription tiers.
Performance-wise, Sonnet 5 scores 63.2% on an agentic coding benchmark, sitting between Sonnet 4.6's 58.1% and Opus 4.8's 69.2%. On knowledge work benchmarks, it actually edges out Opus 4.8 slightly. Anthropic frames the two models as complementary: Opus 4.8 remains the go-to for high-accuracy tasks like deep research and nuanced judgment calls, while Sonnet 5 gives developers a more affordable option without a major sacrifice in quality.
Early testers highlight one standout quality: Sonnet 5 completes tasks that previous model versions would abandon midway. Engineers at Zapier tested the model on a two-part workflow — updating Salesforce account tiers and sending a launch announcement to enterprise contacts. "It finished end to end," said senior engineer Daniel Shepard. "That used to stall halfway. For day-to-day automation, it's a no-brainer."
Anthropic also reports that Sonnet 5 self-checks its output without being prompted to do so, a notable step toward more reliable autonomous operation.
On the safety front, Sonnet 5 improves on its predecessor in several meaningful ways. It is better at refusing malicious requests, more resistant to prompt-injection attacks, and hallucinates less. It also engages in sycophantic behavior at a lower rate than Sonnet 4.6. However, it still falls short of Opus 4.8 and Claude Mythos Preview when it comes to handling misaligned behavior, and Anthropic notes it has a lower ability to perform dangerous cybersecurity tasks compared to current Opus models.
Fabian Hedin, co-founder of Lovable, emphasized how important safety is at scale. "A model that knows when to say no is just as important as one that knows how to build," he said, adding that Sonnet 5 "refuses unsafe requests cleanly and consistently."
With Sonnet 5, Anthropic is making a clear bet: the future of AI adoption won't be won on raw capability alone, but on delivering capable, safe, and autonomous performance at a price that makes widespread deployment practical.
Your competitor's growth lead already saw the spend spike.
While your team is still in standup, the other growth lead already got the alert. Viktor is an AI employee that lives in Slack. It watches your Meta and TikTok spend overnight, flags the underperformer by 7am, and drafts the new brief before your first meeting.
Which of these would help your business the most right now?
AWS commits $1 billion to embed AI engineers directly inside client companies.
Amazon launches new $1 billion FDE org, following OpenAI and Anthropic
Amazon Web Services has launched a new $1 billion forward-deployed engineer (FDE) organization, embedding AI specialists directly within client companies to build and deploy custom agentic systems.
Unlike traditional consulting, the FDE model — pioneered by Palantir — leaves clients with both working solutions and lasting AI capabilities they can build on independently.
Amazon joins OpenAI and Anthropic, which launched similar FDE ventures valued at $4 billion and $1.5 billion respectively, signaling a growing industry shift toward hands-on, embedded AI deployment services.
🎙️ The Supercharged Podcast Is Growing
Real Conversations with the People Building the AI Future
The Supercharged Podcast is quickly becoming a space for real, unfiltered conversations about AI — beyond the hype, tools, and surface-level takes.
Each episode dives deep with founders, operators, and builders who are actively working with AI — or building AI-first companies — to uncover how it’s truly changing the way work gets done.
From strategy and systems to real-world execution, these conversations are practical, honest, and focused on what actually works — not just what sounds good.
⚡ Trends for the Future
Nvidia competitor Etched hits $5B valuation, $1B in sales for AI chip
Etched reaches $5B valuation with $1B in orders for its specialized AI inference chip.
AI chip startup Etched is making waves in the semiconductor space, announcing $1 billion in contract orders and a $5 billion valuation following the successful manufacturing of its first chip by TSMC earlier this year. The company is now in the process of testing its product with early customers, offering what it calls "frontier inference clusters" — complete systems that bundle chips, custom-designed racks, and software aimed at making AI inference faster, cheaper, and more power-efficient than competing solutions.
Inference — the process that kicks in every time a user submits a prompt to an AI model — has become the single biggest bottleneck and cost challenge for AI companies serving customers at scale. That's precisely why Etched's pitch is resonating so strongly with investors and enterprise buyers alike.
The startup has now raised a total of $800 million since its founding in 2022, including an unannounced $500 million round closed in December, led by Stripes. Its investor roster reads like a who's who of finance and AI, including Jane Street, Hudson River Trading, Two Sigma, Ribbit Capital, and VentureTech Alliance. Notable angels include AI pioneers Andrej Karpathy, Geoffrey Hinton, and Fei-Fei Li, alongside billionaires Stanley Druckenmiller and Peter Thiel.
The journey hasn't always been smooth. Co-founders and Harvard dropouts Gavin Uberti and Robert Wachen — both Thiel fellows — struggled to attract investor interest as recently as 2023, operating month-to-month and nearly running out of cash while pitching a 30-page memo on the need for specialized AI chips. Every major investor they approached passed at the time.
The landscape has changed dramatically since then. Today, the race to build better AI inference chips has become one of the hottest areas in tech investment. Competitor Cerebras delivered the first major chip IPO of the year, Groq raised $650 million, and even OpenAI announced its first custom chip built in partnership with Broadcom. Etched is now firmly positioned as a serious contender in this rapidly accelerating market.
⚡ Let’s Make AI Actually Useful:
What Would Move the Needle in *Your* Industry?
AI has potential — but generic advice rarely helps.
What would be genuinely valuable for AI to do in your industry right now?
• Automate a painful workflow?
• Improve decision-making?
• Replace a manual process that wastes time?
• Help your team upskill faster?
Tell us what you’d want AI to handle — or where you feel stuck.
We’re using these insights to curate **industry-specific trainings, live webinars, and practical guidance** you can actually apply.
🌡️ Use the Satisfaction Thermometer to show us how much you enjoyed The Supercharged today ;)
The Supercharged is aiming to be the world's #1 AI business magazine and is on a mission to empower 1,000,000 entrepreneurs worldwide by 2026, guiding them through the transition into the AI-driven creative age. We're dedicated to breaking down complex technologies, sharing actionable insights, and fostering a community that thrives on innovation, to become the ultimate resource for businesses navigating the AI revolution.
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