The World's Biggest Dev Event Hits Silicon Valley
WeAreDevelopers World Congress comes to San José, CA — September 23–25, 2026. 10,000+ developers, 500+ speakers, and the full software development lifecycle under one roof, in the heart of Silicon Valley.
Kelsey Hightower. Thomas Dohmke (fmr. CEO, GitHub). Christine Yen (CEO, Honeycomb). Mathias Biilmann (CEO, Netlify). Olivier Pomel (CEO, Datadog). The people actually building the tools you use every day — all on one stage.
AI, cloud, DevOps, security, architecture, and everything real builders ship with. Workshops, masterclasses, and the official congress party.
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 ⚡
- 🏛️🤖 Trump officials may be encouraging banks to test Anthropic's Mythos model
- 📈🚀 Vercel CEO Guillermo Rauch signals IPO readiness as AI agents fuel revenue surge
- 🚫🤖 Anthropic temporarily banned OpenClaw's creator from accessing Claude
- 🏠💬 Sam Altman responds to 'incendiary' New Yorker article after attack on his home
- 🎤🤖 At the HumanX conference, everyone was talking about Claude
- 📚🧠 From LLMs to hallucinations, here's a simple guide to common AI terms
- 🍎👓 Apple reportedly testing four designs for upcoming smart glasses
- 📈🚀 Vercel CEO Guillermo Rauch signals IPO readiness as AI agents fuel revenue surge
- 🛰️💻 The largest orbital compute cluster is open for business
Trump administration pushes major banks to adopt Anthropic's cybersecurity AI
Trump officials may be encouraging banks to test Anthropic's Mythos model
Top Trump administration officials are actively promoting Anthropic's powerful new AI model to major banks, despite ongoing legal battles between the government and the AI company. Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell recently convened bank executives to encourage adoption of the Mythos model for cybersecurity purposes, according to Bloomberg reports.
The high-level meeting has resulted in widespread testing across Wall Street's biggest institutions. While JPMorgan Chase was initially announced as the sole banking partner with early access to Mythos, sources indicate that Goldman Sachs, Citigroup, Bank of America, and Morgan Stanley are now also evaluating the technology for detecting security vulnerabilities in their systems.
Anthropic's Mythos represents a breakthrough in AI-powered cybersecurity, though the company has taken an unusual approach to its release. Despite not being specifically designed for security applications, the model demonstrates exceptional capability in identifying system vulnerabilities. This unexpected proficiency has prompted Anthropic to restrict access during the initial rollout phase, citing concerns about the model's potent security-detection abilities.
However, industry observers remain divided on Anthropic's cautious stance. While some view the limited access as a responsible approach to deploying powerful AI technology, critics suggest it may be sophisticated marketing hype designed to generate enterprise demand. The scarcity strategy could be positioning Mythos as an exclusive, premium solution for high-stakes financial institutions.
The administration's endorsement becomes particularly intriguing given the contentious relationship between Anthropic and the government. The AI company is currently engaged in legal proceedings against the Trump administration, challenging the Department of Defense's classification of Anthropic as a supply-chain security risk. This designation emerged after failed negotiations regarding government restrictions on how Anthropic's AI models could be utilized in federal applications.
The breakdown in talks reportedly centered on Anthropic's insistence on maintaining control over its technology's government applications. The company sought to implement safeguards and usage limitations, while the administration pushed for broader access and fewer restrictions on deployment scenarios.
International regulators are also taking notice of Mythos's capabilities. The Financial Times reports that United Kingdom financial regulators have initiated discussions about potential risks associated with the AI model. This global attention underscores the significance of advanced AI tools in financial infrastructure and the complex regulatory challenges they present.
The situation highlights the evolving relationship between AI companies and government agencies, particularly regarding dual-use technologies that offer both beneficial applications and potential security implications. As AI models become increasingly sophisticated, balancing innovation with security concerns presents ongoing challenges for both developers and regulators.
For the banking sector, Mythos represents an opportunity to enhance cybersecurity defenses against increasingly sophisticated threats. Financial institutions face constant pressure to protect sensitive data and maintain system integrity, making advanced AI-powered security tools particularly attractive. The endorsement from top Treasury and Federal Reserve officials signals strong government support for AI adoption in financial cybersecurity.
As testing continues across major banks, the results will likely influence broader adoption patterns throughout the financial industry. The success or challenges encountered during these pilot programs could shape future AI integration strategies and regulatory approaches to emerging technologies in critical infrastructure sectors.
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Vercel CEO hints at IPO as AI boom drives growth
Vercel CEO Guillermo Rauch signals IPO readiness as AI agents fuel revenue surge
Vercel, a 10-year-old dev tool and hosting platform, is thriving in the AI era as non-developers increasingly create apps using AI agents. CEO Guillermo Rauch revealed the company's annual recurring revenue surged from $100 million in early 2024 to $340 million by February 2026.
Speaking at the HumanX conference, Rauch signaled IPO readiness, stating the company operates with public market discipline. Thirty percent of apps on Vercel's platform now come from AI agents, positioning the company to benefit from automated software creation as the "total addressable market has no ceiling."
🎙️ 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
The largest orbital compute cluster is open for business
Canada's Kepler launches largest space compute cluster with 40 processors.
The era of orbital computing is beginning to take shape as Canada's Kepler Communications operates the largest compute cluster currently in space. Launched in January, the system features 40 Nvidia Orin edge processors across 10 satellites, all connected through laser communication links.
Kepler now serves 18 customers and recently announced a partnership with Sophia Space, a startup developing passively cooled space computers. This collaboration addresses a critical challenge for orbital data centers: preventing processor overheating without expensive active-cooling systems.
The partnership will test Sophia's proprietary operating system across six GPUs on two spacecraft, marking the first time such configuration will be attempted in orbit. This represents a crucial de-risking exercise before Sophia's planned satellite launch in late 2027.
CEO Mina Mitry positions Kepler not as a data center company, but as infrastructure providing network services for satellites and aircraft. The company expects to eventually link with third-party satellites for networking and processing services as the sector matures.
Current applications focus on edge processing, particularly for power-hungry sensors like synthetic aperture radar. The U.S. military represents a key customer segment, developing missile defense systems that rely on satellites for threat detection and tracking.
This approach differs from companies like SpaceX, Blue Origin, and startups Starcloud and Aetherflux, which focus on large-scale data centers with traditional processors. Mitry emphasizes distributed inference processing over centralized training workloads, noting their GPUs run at 100% capacity compared to underutilized high-power alternatives.
While experts don't expect large-scale orbital data centers until the 2030s, growing terrestrial restrictions on data center construction may accelerate space-based alternatives. As Sophia CEO Rob DeMillo noted regarding recent municipal bans on data center construction: "It's gonna get weird from here."
⚡ 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.
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