As AI shifts from chatbots answering questions to autonomous agents taking actions, a new kind of internet user is emerging: non-human software that can research, buy, coordinate, and execute tasks with limited oversight. For crypto investors and builders, the key… Read More »Why Autonomous AI Agents Could Make Stablecoins and Identity Protocols the Real Crypto Winners
AI agents can already talk to each other, call tools, and move money over the internet. What the stack still lacks is a shared way to decide when the money should actually move. That unresolved “judgment layer” is where crypto… Read More »Do AI Agents Need Crypto to Safely Pay Each Other Online?
AI is moving from experimental side project to everyday tool inside tech companies, including crypto firms. But the data emerging from job postings, usage metrics, and early academic work points to a more nuanced shift than a simple story of… Read More »How AI Is Reshaping Tech Careers: More Senior Roles, Fewer Entry-Level Paths
A proposed upgrade to the XRP Ledger (XRPL) came close to introducing a critical vulnerability that, if activated, could have allowed attackers to spend funds from other people’s accounts without access to their private keys. The issue was caught before… Read More »XRPL’s Near-Miss: How a Batch Upgrade Bug Could Have Let Attackers Drain XRP Accounts
Block is executing one of the sharpest workforce resets in big-cap fintech, with CEO Jack Dorsey moving to cut nearly half of the company’s staff while asking investors to buy into an “AI-era” operating model and richer profit margins. The… Read More »Jack Dorsey’s ‘AI-Era’ Reset at Block: Halving Headcount to Double Down on Automation
MiniMax, a Shanghai-based AI startup, is pushing aggressively into the frontier-model tier with its new M2.5 family—positioning it not just as another chatbot, but as a cheap, always-on digital worker. With performance that approaches top offerings from Anthropic and Google… Read More »MiniMax M2.5: China’s Cut-Rate Frontier Model Aiming to Turn AI into a Full-Time Worker
Bitcoin’s normally steady rhythm has slipped off beat. Early on Feb. 4, the network’s average block time briefly surged to around 19.33 minutes—almost double the protocol’s ten-minute target—while data points to one of the largest negative difficulty adjustments since the… Read More »Bitcoin Mining Profitability Squeezed as Block Times Double and Difficulty Faces 14% Cut
Enterprises experimenting with AI agents are discovering an uncomfortable pattern: pilots work well in isolated demos, but break down when agents have to operate inside real organizations with real constraints. The underlying problem, according to Asana chief product officer Arnab… Read More »Why Shared Memory Is Becoming the Critical Layer in Enterprise AI Orchestration
The emergence of networked AI agents is shifting risk from individual systems to an entire ecosystem. That shift is becoming visible on Moltbook, a social platform billing itself as “built exclusively for AI agents… Humans welcome to observe,” where autonomous… Read More »Inside Moltbook: The Viral AI-Agent Network Experimenting With Bitcoin-Paid Key Theft
Arcee, a San Francisco–based AI lab, has released what it positions as a new U.S.-made, frontier-scale open model: Trinity Large, a 400-billion parameter mixture-of-experts (MoE) language model, alongside a rare raw 10T-token checkpoint, Trinity-Large-TrueBase. For AI researchers, ML engineers, and… Read More »Inside Arcee’s Trinity Large: A 400B-Parameter U.S. Open Source MoE With a Rare Raw Checkpoint
Airtable is extending its data-first approach into the world of AI agents with Superagent, a standalone research agent designed to coordinate teams of specialized models. Rather than presenting another generic “AI copilot,” Superagent focuses on a specific problem many data… Read More »Inside Airtable’s Superagent: A Context-Aware Orchestrator for Multi-Agent Research Workflows
For enterprise teams that have spent the past four years piloting generative AI without getting much into production, Contextual AI is advancing a blunt thesis: the core problem is no longer the model. It’s the context the model can actually… Read More »Contextual AI’s Agent Composer Targets the Real Bottleneck in Enterprise AI: Context, Not Models