AT&T routes 40% of its employee AI requests to open-weight models. For most companies, US open models are the safer default. Chinese models fit only internal work you host yourself, if at all: eu1.hubs.ly/H0zfW-M0 #ai #llms #openweights #modelrouting #deepseek #opensourceai

Brainlabs rolled out Claude to 1,000+ marketers. Four weeks later, employees had ~400 skills of their own. Here’s how Claude, ChatGPT, Copilot, and Gemini compare on price, security, and fit: eu1.hubs.ly/H0z30H-0 #ai #aiagents #claudecowork #chatgpt #copilot #gemini

AT&T uses hybrid AI to send 40% of employee AI queries to open models. That saves them a lot of money on frontier lab APIs. Start thinking about hybrid AI at your company: eu1.hubs.ly/H0yVf2f0 #ai #llms #hybridai #openweights #modelrouting #aiinfrastructure

Stripe’s AI agents (Minions) produce more than 1,000 merged pull requests a week. Here's how software factories work, why some fail, and where engineering leaders can start: eu1.hubs.ly/H0yvrjp0 #ai #softwarefactory #aiagents #aicodereview #minions

Building a Claude Skill takes minutes. Refining them takes longer. Here’s how to build Claude Skills for work: eu1.hubs.ly/H0ylwRg0 PS. You can start to learn about Skills fast by asking Claude to build one with you right now. #ai #claude #claudeskills #mcp #aiagents

Uber blew through its 2026 AI budget in four months. LLM model routing is how it got spend back under control while weekly usage grew 7x. Here's how Uber, AT&T, and Ramp cut AI costs 30–56% with model routing: eu1.hubs.ly/H0y99K60 #ai #llms #tokens #aicosts #openllms

Writing code is easier. Shipping it is much harder. High-AI-adoption teams spend 91% longer in review. We can help: eu1.hubs.ly/H0y5n4B0

Open-weight LLMs beat some leading frontier models in performance and cost much less per token. API prices up to 57x lower than frontier models from Anthropic and OpenAI. Full comparison: eu1.hubs.ly/H0x_4QB0 #ai #llms #openweight #openllms

AI-generated code output jumped 20–50% almost overnight while review capacity, test infrastructure, and deploy cadence stayed put. Finished code piles up between "written" and "shipped." Here's how to ship more AI-generated code with fewer rollbacks: eu1.hubs.ly/H0xPLxd0

Everyone is talking about loop engineering while some software engineers say it's just cron jobs and decades-old practices with new AI branding. Read more here: eu1.hubs.ly/H0xL3hL0 #ai #loops #loopengineering #graphengineering #agents #aicode

Kimi K3 topped Frontend Code Arena this summer, ahead of Claude Fable 5 and GPT-5.6 Sol. It costs a fraction of what the frontier charges. Here's the growing case for open-weights AI in 2026: eu1.hubs.ly/H0xyHy00 #ai #llms #openweights #opensource #kimik3 #tokens #aicosts

The hottest job in tech right now is forward deployed engineer (FDE). AWS, Microsoft, OpenAI, Anthropic, and the Pentagon just spent ~$9 billion building armies of them. Read more here: eu1.hubs.ly/H0xryyk0 #fde #openai #anthropic #engineer #dev #services #consultants

Most headlines on AI at work are about productivity. But there's social impact behind all the AI-generated output. - What AI psychosis looks like in founders and CEOs - Five habits that erode trust - Personal and team habits for heavy AI use Read more: eu1.hubs.ly/H0xgl580

Meta employees burned 73.7 trillion tokens in a single month with no obvious ROI. That's roughly $221M a month or $2.65B a year. Obviously tokenmaxxing isn't the way. Here's how engineering teams get AI costs under control and find ROI: eu1.hubs.ly/H0x4Rl80

Claude Team or Claude Enterprise? Shorter answer than you'd think: -Under 150 people, no heavy compliance reqs→ Team (you still get SSO) -Need SCIM, audit logs, or HIPAA required? → Enterprise Pricing is critical too. 💸Here's the full breakdown: eu1.hubs.ly/H0wY9Dz0

Fable 5 is back online until July 12. Its higher-capability sibling, Mythos 5, has been powering Project Glasswing since April, Anthropic's coalition with AWS, Apple, Cisco, JPMorganChase, and 150+ other organizations. 🔓Full breakdown here: eu1.hubs.ly/H0wMJ4s0

Anthropic's Mythos preview found bugs that decades of audits and fuzzing missed, including one it exploited with zero human help. Old code isn't safe code anymore. Full breakdown here: eu1.hubs.ly/H0wB_yk0 #cto #ciso #cybersecurity #anthropic #mythos #redteam

Mythos-class models are out. Anthropic released one as Fable 5 this week. Here's what it means for security teams: eu1.hubs.ly/H0w5jC40

Anthropic's Mythos found a 27-year-old bug in OpenBSD. Vulnerabilities in every major browser. A 16-year-old flaw in FFmpeg that automated tools had hit 5 million times. 99% of the vulnerabilities are still unpatched. Here's what CTOs need to do: eu1.hubs.ly/H0vZpbX0

Is RAG dead? Not yet. But one of the companies that built the space is now betting against it. So where does that leave RAG? Still alive – but no longer the default. Here's when it still makes sense to use RAG: eu1.hubs.ly/H0vw0CB0