We are hiring🍩 Donut Labs is exploring agentic safety and self-evolution in non-stationary heavy-tailed financial markets, in close collaboration with our AI brockage product D0(getdonut.ai). We are looking for a Research Engineer (either fulltime or internship welcome) to deeply engage in this co-development under the feedback of real markets and real users. The expected scope includes: * Iterate on evals: building an agent and optimizing in financial markets both require iteratively making numbers that make sense and making numbers higher. * Iterate on research: safety is essential for high-stake financial industry and the financial market provides ideal non-stationary feedback for self-evolution. Donut Labs has raise more than $20M. We offer competitive compensation, fully remote work, and a unique opportunity to co-develop both product and curiosity-driven research. Everyone is welcome to apply. We do not discriminate based on labels; what matters is that you are proactive, curious, and grounded. Please send your resume and a brief introduction (including relevant projects, GitHub, or papers) to: mailto:hiring@donutbrowser.ai

MEST AI Startup Program is a fully-sponsored 12-month program for African founders. Selected ventures pitch for up to $100,000 in pre-seed investment at the end.  7 months of training. 4 months of incubation. Fully funded. Residential in Accra Ghana. Mentorship from Google, Meta and OpenAI practitioners. Just founders building AI startups who know where to look and founders who don’t. Now you know. Deadline July 20. mestaistartupprogram.smapply…

My latest LinkedIn newsletter was just published. In it, I discuss the ten (10) shifting global demographic trends including: ▪️Rapid population drops in developed nations ▪️Surging youthful populations and rising wealth in emerging markets ▪️How global population dynamics are dramatically rewriting the rules of world economics, geopolitics, and financial markets. Read and subscribe here: linkedin.com/pulse/ten-10-no…

Someone on GitHub just shared a massive list of free projects that are ridiculously good. Many of them can already replace software people are paying monthly subscriptions for. 1. TradingAgents AI-powered multi-agent quantitative trading framework github.com/TauricResearch/Tr… 2. LibreChat A unified interface for ChatGPT, Claude, Gemini, and other AI models github.com/danny-avila/Libre… 3. HyperFrames HeyGen's open-source video generation engine github.com/heygen-com/HyperF… 4. Fincept Terminal An open-source alternative to the Bloomberg Terminal github.com/Fincept-Corporati… 5. MoneyPrinterTurbo AI that generates short-form videos with a single click github.com/harry0703/MoneyPr… 6. Agentic Inbox Cloudflare's open-source AI email assistant github.com/cloudflare/agenti… 7. VoxCPM AI voice cloning platform github.com/OpenBMB/VoxCPM 8. Flowsint Open-source OSINT intelligence analysis tool github.com/reconurge/flowsin… 9. agent-skills A library of coding skills for Claude github.com/addyosmani/agent-… 10. Nango Open-source API integration platform github.com/NangoHQ/nango These aren't toy projects. A lot of the software you're still paying monthly for already has open-source alternatives built by developers on GitHub. Some of the most powerful tools on the internet aren't being advertised. They're hidden in GitHub repositories.

A senior Google engineer just dropped a 421-page doc called Agentic Design Patterns. Every chapter is code-backed and covers the frontier of AI systems: → Prompt chaining, routing, memory → MCP & multi-agent coordination → Guardrails, reasoning, planning This isn’t a blog post. It’s a curriculum. And it’s free.

If I had 6 months to become an Agentic AI Engineer. I'd do this. Stage 1: Python Async Foundations asyncio, FastAPI, event-driven architecture, error handling, API integration patterns. Stage 2: LLM Fundamentals for Agents Context management, model routing, token economics, latency tradeoffs, failure modes. Stage 3: Tool Calling Structured Outputs Pydantic validation, function calling schemas, error recovery, dynamic tool discovery. Stage 4: Memory State Management Short-term buffers, long-term vector recall, context compression, cross-session sync. Stage 5: Single Agent Workflows ReAct loops, plan-and-execute, self-reflection, iteration limits, graceful degradation. Stage 6: Multi-Agent Orchestration LangGraph/CrewAI, supervisor patterns, message passing, conflict resolution, handoffs. Stage 7: Human-in-the-Loop Systems Uncertainty detection, approval gates, audit trails, resume logic, intervention points. Stage 8: Evaluation Quality Assurance Automated eval harnesses, LLM-as-a-judge, regression testing, hallucination metrics. Stage 9: Observability Tracing Distributed tracing (LangSmith/Arize), cost dashboards, latency monitoring, alerting. Stage 10: Security Guardrails Prompt injection defense, output filtering, PII redaction, sandboxed execution, compliance. Stage 11: Production Deployment vLLM/SGLang, Kubernetes scaling, CI/CD for agents, canary releases, rollback strategies. Stage 12: Open Source Portfolio Ship autonomous agents publicly, write architecture docs, record demos, contribute to libs. Most people stay stuck watching tutorials. Builders get hired. (Bookmark it)

Supertonic just killed ElevenLabs. A text-to-speech model that runs entirely on your device. No cloud. No API key. No per-character pricing. 2,700 GitHub stars. 100% open source. MIT licensed. The numbers are wild: → 167x faster than real-time on an M4 Pro → Only 66M parameters → 1,263 chars/sec vs ElevenLabs Flash at 287 → 1,048 chars/sec vs OpenAI TTS-1 at 55 → Runs on a Raspberry Pi. Runs on an e-reader in airplane mode. Reads currency, dates, phone numbers, and technical units correctly without preprocessing. ElevenLabs fails these. OpenAI fails these. Gemini fails these. Supports 11 platforms and 5 languages. Chrome extension turns any webpage into audio in under a second. I've watched on-device models lose to cloud APIs for years. This one doesn't lose. The cloud TTS business just got cooked.

🚨 BREAKING: Claude can build your entire presentation — structure, slides, script — for free. What used to take a full weekend now takes 26 minutes. Here are 5 prompts to build decks people remember: 🚀 📌 Save this

I want writers to know that solid-paying gigs are still very much out there. I mean many companies happily pay $500–$1,000 (and sometimes more) per project. These are clients who respect your rates and won’t try to lowball or haggle you down. Your job is to stop chasing every opportunity and start targeting those companies specifically

I asked Claude to teach me Excel like a $200/hour tutor. 31 days later I automated a report that ate 6 hours of my week. Here are the 5 prompts I used (swap in any skill):

Growing up in South Africa, coding always felt like it belonged to someone else's language. So I built my own. Introducing CMT-IsiZulu — write Python code in isiZulu South African can now write codes in their home language 🇿🇦 Sikhona. We exist. drive.google.com/file/d/1arL…

Curated list of free public APIs github.com/public-apis/publi…

10 GitHub repos that automate real work while you sleep in 2026. Bookmark this list. 1. OpenHands Autonomous coding agent. 76,500 stars. Used by engineers at Apple, Google, Amazon, Netflix, and NVIDIA. Repo → github.com/All-Hands-AI/Open… 2. Hermes Agent Nous Research dropped this in February. 191,000 stars in three months. Self-improving personal AI. Repo → github.com/NousResearch/herm… 3. CrewAI Multi-agent workflows that ship real work. Used by 60% of Fortune 500. Repo → github.com/crewAIInc/crewAI 4. Aider AI pair programmer in your terminal. Auto-commits clean diffs. Indie devs ship 5x faster with it. Repo → github.com/paul-gauthier/aid… 5. n8n Open-source Zapier. 400 integrations. Self-hosted workflows that run forever without subscription fees. Repo → github.com/n8n-io/n8n 6. LangGraph The orchestration backbone every production AI agent runs on in 2026. Repo → github.com/langchain-ai/lang… 7. Cloudflare Agentic Inbox Self-hosted email client with a built-in AI agent that reads your inbox and drafts replies. Repo → github.com/cloudflare/agenti… 8. Browser Use 98,000 stars. Agents navigate the web, fill forms, scrape data, book meetings. Repo → github.com/browser-use/brows… 9. awesome-mcp-servers The catalog of every tool your agent can plug into. GitHub, Slack, Linear, Stripe, Postgres, Notion. Repo → github.com/punkpeye/awesome-… 10. claude-task-master Multi-agent task orchestration on top of Claude Code. Turn one prompt into a team shipping a feature while you sleep. Repo → github.com/eyaltoledano/clau… Save this. 100% free. 100% open source.

15 AI founders you should follow on Twitter: @sama = founded OpenAI @AravSrinivas = founded Perplexity AI @karpathy = ex-founding member at OpenAI @darioamodei = founded Anthropic @demishassabis = founded DeepMind @hwchase17 = founded LangChain @adcock_brett = founded Figure AI @AndrewYNg = founded DeepLearning. AI @jeremyphoward = founded fast. ai @DrJimFan = leads AI robotics at NVIDIA @natfriedman = ex-CEO of GitHub @swyx = founded Smol AI @levelsio = founded PhotoAI @fchollet = founded Keras @rasbt = underrated ML educator

Amazon, Meta, Microsoft, Google, IBM, NVIDIA, OpenAI, and Cisco all offer free courses and training right now. If you really want to change your life or shift your career path, the opportunity is already in front of you, you just have to lock in.

2days ago I created a repo and the long term goal for this repo is to make this repo “𝐓𝐇𝐄 𝐠𝐨-𝐭𝐨 𝐩𝐥𝐚𝐜𝐞 𝐟𝐨𝐫 𝐟𝐫𝐨𝐧𝐭𝐞𝐧𝐝 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐬”. One repo where you can find a practical, experience-backed answer to any frontend engineering question. Who can contribute? 𝐄𝐯𝐞𝐫𝐲𝐨𝐧𝐞. And there's no limit to topics. If it's relevant to frontend engineers and follows the contribution guidelines, it belongs here. Don't see your topic? Propose a new section. If you’d like to contribute and share your vast knowledge in Frontend Engineering. Join us here github.com/yemisi567/Fronten…