Interesting news this week included Codewall's whitehat hack and responsible disclosure of vulnerabilities in McKinsey's AI platform. Openclaw's rise in China driven by firms offering hosted solution as well as China’s cybersecurity authorities are restricting OpenClaw usage in banks, SOEs, and government
Lots of coding agents news with Agent 4 from Replit, OB-1 emerging as a “self-improving” coding agent with top Terminal Bench scores as well as comments from Elon Musk that xAI acknowledges that it is behind in coding but has a plan to be SOTA by H1 2026
Nvidia's Nemotron 3 Super with its hybrid Mamba–Transformer MoE design targets agentic systems with 1M-token context, strong reasoning and coding benchmarks,
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The following messages were posted on the 'All Things AI' Telegram group from Sunday 8th Mar 2026 to Saturday 14th Mar 2026
How Cursor is evolving through its Composer coding models built on Chinese open models, as coding agents like Claude Code threaten to make code editors obsolete
Cursor Goes To War For AI Coding Dominance
After becoming the hottest, fastest growing AI coding company, Cursor is confronting a new reality: developers may no longer need a code editor at all.
1 | via Ben Jammin One of the craziest things I’ve ever seen “Scientists just copied a fruit fly's brain into a computer. Neuron by neuron. No training data. No machine learning. It woke up and started walking. No one taught it to walk. No one trained it. No gradient descent. It just... knew what to do.”
There's a fruit fly walking around right now that was never born.
@eonsys just released a video where they took a real fly's connectome — the wiring diagram of its brain — and simulated it. Dropped it into a virtual body. It started walking. Grooming. Feeding. Doing what flies 
Reply by Alex This specific process is not peer reviewed (and an ad for a for-profit company) and I would take it with a grain of salt The original paper the video is based on was published 2 years ago describes an elaborate process in which input neuron had to be mapped to wanted output. It is not as simple as copy/paste a neural network A Drosophila computational brain model reveals sensorimotor processing - NatureThe recent assembly of the adult Drosophila melanogaster central brain connectome, containing more than 125,000 neurons and 50 million synaptic connections, provides a template for examining sensory processing throughout the brain1,2. Here we create a leaky integrate-and-fire computational model of the entire Drosophila brain, on the basis of neural connectivity and neurotransmitter identity3, to study circuit properties of feeding and grooming behaviours.  Still super interesting as it uses a direct simulation of a fixed biological structure, but it was still a trial an error approach in which only 1% of simulation cases resulted in meaningful downstream neuron activation (e.g. sense sugar = move body to sugar) |
2 | via Valerii Anufriev Composio agent orchestrator, framework-agnostic GitHub - ComposioHQ/agent-orchestrator: Agentic orchestrator for parallel coding agents - plans tasks, spawns agents, and autonomously handles CI fixes, merge conflicts, and code reviews.Agentic orchestrator for parallel coding agents - plans tasks, spawns agents, and autonomously handles CI fixes, merge conflicts, and code reviews. - ComposioHQ/agent-orchestrator  |
1 | via Robby Yung Introducing ERC-8183: The Commerce Layer for AI Agents |
2 | Came across this tool, It's github blurb says the following
→ Runs full GEO audits with parallel subagents → Delivers 60-second visibility snapshots → Analyzes structured schema markup for LLMs → Exports complete PDF reports 100% Open-Source. GitHub - zubair-trabzada/geo-seo-claude: GEO-first SEO skill for Claude Code. Comprehensive AI search optimization for any website - citability scoring, AI crawler analysis, brand authority, schema markup, platform-specific optimization, and PDF reports. If you want learn how to sell this to real businesses, check out the skool communityGEO-first SEO skill for Claude Code. Comprehensive AI search optimization for any website - citability scoring, AI crawler analysis, brand authority, schema markup, platform-specific optimization, and PDF reports. If you want learn how to sell this to real businesses, check out the skool community - zubair-trabzada/geo-seo-claude  |
3 | via James Chan Has anyone seen the CLI terminal tool called Warp? It is definitely very convenient Reply by Yusuf Why not Claude or Codex ? This is more a function of geopolitics impacting access to many AI tools/services in Hong Kong so I tend to look for products which are much more accessible and don't need a lot of privilege to access Warp I felt that I had to buy-in to their terminal but acknowlege that it has its base Droid felt like a pure harness and I want to separate surface aka IDE to harness to models and it supports many of Claude Code features such as skills, sub-agents, MCP, hooks, plugins so its easy migration or even possible for an org/repo to support different team members who used different harnesses |
Aakash Gupta's take on Claude Code Review, small snippet from his tweet ====== Anthropic created the flood and is now selling the levee. Claude Code grew engineer code output 200% year over year. More code means more PRs. More PRs means more review bottleneck. More bottleneck means more demand for Code Review at $15-25 per pop. This is a self-reinforcing revenue loop built into the product architecture. The better Claude Code gets at writing code, the more Code Review revenue scale
Anthropic created the flood and is now selling the levee.
Claude Code grew engineer code output 200% year over year. More code means more PRs. More PRs means more review bottleneck. More bottleneck means more demand for Code Review at $15-25 per pop. This is a self-reinforcing | |
4 | Yann LeCun's Advanced Machine Intelligence Labs raised a $1.03B seed at a $3.5B pre-money valuation to work on world models, in Europe's largest-ever seed round
Unveiling our new startup Advanced Machine Intelligence (AMI Labs).
We just completed our seed round: $1.03B / 890M€, one the largest seeds ever, probably the largest for a European company. We're hiring! [the background image is the Veil Nebula - a picture I took from my |
5 | Chinese AI Companies Zhipu, Tencent, Moonshot, MiniMax, Alibaba, and ByteDance Launch OpenClaw-Based AI Agent Products Major Chinese tech firms Zhipu, Tencent, Moonshot, MiniMax, Alibaba, and ByteDance released AI agent products built on the open-source OpenClaw framework, including Zhipu's AutoClaw, Tencent's WorkBuddy, Moonshot's KimiClaw, MiniMax's MaxClaw, Alibaba's CoPaw, and ByteDance's ArkClaw. Chinese cities Shenzhen, Wuxi, and Hefei are promoting OpenClaw through workshops, public installations, and subsidies up to RMB 10 million for startups.
Zhipu launched AutoClaw today. Stock jumped 13%.
That makes the list: Moonshot's KimiClaw, MiniMax's MaxClaw, Alibaba's CoPaw, ByteDance's ArkClaw, Tencent's WorkBuddy, and now Zhipu's AutoClaw. Every major Chinese AI company has built a product around one open-source project 
hellochinatech.com
OpenClaw Did Not Just Go Viral in China, It Solved a Structural Problem.Cloud vendors, LLM startups, and device makers all raced to embrace it. Each had a different reason. |
6 | Nvidia is pitching NemoClaw, an upcoming open-source AI agent platform for enterprises, and plans to offer security and privacy tools for it Nvidia Is Planning to Launch an Open-Source AI Agent PlatformAhead of its annual developer conference, Nvidia is readying a new approach to software that embraces AI agents similar to OpenClaw.  |
1 | via Ben Jammin Amazon calls engineers for a “deep dive” internal meeting to discuss “GenAI”-related outages Amazon calls engineers for a "deep dive" internal meeting to discuss "GenAI"-related outagesRecent AI-assisted coding errors have caused multiple Amazon website and app outages, prompting new safeguards and review processes.  |
2 | via Ben Jammin If you use Telegram for your AI Agents (and especially OpenClaw), I created a tool that gives it actual memory called Telecrawl Telegram doesn't have this by default. It's based off of Peter from OpenClaw's Discrawl for Discord. It's Opensource so anyone can use it
Does your OpenClaw bot on Telegram forget everything between sessions?
Telegram's bot system literally can't read message history. Not because it's broken. Bots only see messages the moment they arrive. Session ends, memory gone. Peter Steinberger @steipete built discrawl  |
3 | via Fazri Zubair It’s been an interesting time in software engineering lately. The changes happening in our field have me genuinely excited, so I decided to put a few thoughts together in a short essay. Hope you enjoy the read. From Software Architect to Agentic Engineer: How AI Is Reshaping Software DevelopmentThe Craft I Entered I started my engineering career about fifteen years ago at a small company called Collision Studios in Santa Monica. Before that, I was working in finance and building applications on the side.  |
4 | via Coop I have found A2A to be less superior to ACP, which the adoption in the last few weeks has been nuts. Can literally integrate the superpowers cursor into your agent now, with or without people knowing: Overview - Agent Client ProtocolHow the Agent Client Protocol works  |
5 | via Alex A good read of an MIT research on the 11 reasons agents fail Agents of ChaosWe report an exploratory red-teaming study of autonomous language-model-powered agents deployed in a live laboratory environment with persistent memory, email accounts, Discord access, file systems, and shell execution. Over a two-week period, twenty AI researchers interacted with the agents under benign and adversarial conditions.  |
6 | China Restricts OpenClaw AI Use in Banks, State Firms, and Government Agencies Over Security Concerns Chinese authorities, including the national cybersecurity agency CNCERT, issued a security advisory and restrictions on OpenClaw AI for banks, state-owned enterprises, and government bodies due to risks such as prompt injection attacks, malicious plugins, weak default configurations, and potential system control by attackers. The measures aim to curb usage on office computers amid the tool's rapid proliferation in China, including adoption by local governments like Shenzhen and Wuxi. Secondhand platforms have emerged offering OpenClaw removal services driven by security worries and costs. |
7 | For the legal eagles in the group, some commentary on Legora's $550M Series D led by Accel at a $5.55B val Separately , A lawyer friend of mine recently sent me the following message
Legal just became the fastest-moving AI vertical in enterprise software, and there’s still plenty more room to grow.
Legora went from $3M to $70M in revenue in a single year. 23x growth. $7M added in a single day in December. Valuation tripled from $1.8B to $5.55B in five
Sheesh @WeAreLegora just raised a $550M Series D led by @Accel at a $5.55B val
Legora is a legal AI platform that helps lawyers review documents, conduct research, + draft contracts. Rather than asking firms to adopt a new standalone tool, they've embedded directly into the  PS, If you are a redditor then /r/legaltech is where you want to hang out though it may be very US law/law-firm centric |
1 | NVIDIA Launches Nemotron 3 Super for Agentic AI Systems This hybrid mixture-of-experts model uses just 12 billion active parameters, blending Mamba for long sequences and Transformers for precise recall, supporting a native 1-million-token context window ideal for entire codebases or workflows. It excels in benchmarks like 85.6% on PinchBench for coding agents and 91.75% on long-context tasks, while multi-token prediction speeds generation up to three times on Blackwell GPUs. Early adopters including Perplexity, CodeRabbitAI, and enterprises like Palantir and Siemens are integrating it for search, coding, cybersecurity, and design, with easy access via Ollama, Hugging Face, and serverless platforms.
Announcing NVIDIA Nemotron 3 Super!
 120B-12A Hybrid SSM Latent MoE, designed for Blackwell36 on AAIndex v4up to 2.2X faster than GPT-OSS-120B in FP4Open data, open recipe, open weightsModels, Tech report, etc. here: research.nvidia.com/labs/nemotron/… And yes, Ultra is coming! 
NVIDIA has released Nemotron 3 Super, a 120B (12B active) open weights reasoning model that scores 36 on the Artificial Analysis Intelligence Index with a hybrid Mamba-Transformer MoE architecture
We were given access to this model ahead of launch and evaluated it across   NVIDIA Nemotron 3 Super is live on OpenRouter!120B params, 12B active. Hybrid Mamba-Transformer MoE with highest throughput efficiency in its class. 1M context. Fully open weights, data, and recipes. Built for multi-agent systems that need to think fast. |
2 | Replit Agent v4 is a new AI-powered development environment designed to keep developers in creative flow by handling coordination, execution, and routine coding work across the full stack inside Replit. Strongly recommend watching the 8.25 launch video from CEO/co-founder Amjad Masad Also, Replit just 3x’d its valuation in 6 months. $3B in September, $9B today. Four main pillars * Design freely: Visual design and production code now live together, with an infinite canvas, multiple UI variants, precise visual controls, and direct application of chosen designs into the live app. * Move faster: Multiple agents can run tasks in parallel, automatically splitting big tasks and merging results safely, significantly speeding up backend, frontend, auth, and database work. * Ship anything: Within one project, Agent 4 can build web and mobile apps, data apps, decks, animations, and more, all sharing the same context and design language. * Build together: A task-based workflow lets teams submit many design and build requests at once, track them as discrete tasks, and approve merges, reducing chat-thread micromanagement.
Software isn’t merely technical work anymore. It’s creative.
Introducing Replit Agent 4. The first AI built for creative collaboration between humans and agents. Design on an infinite canvas, work with your team, run parallel agents, and ship working apps, sites, slides & more. 
Replit - Introducing Replit Agent 4: Built for Creativity | BlogIntroducing Agent 4 - our fastest, most versatile Agent yet. It's built around a simple idea: you should spend your time creating, not coordinating. Agent 4 takes on the tedious-but-necessary work in the background so you can stay in creative flow and ship production-ready software 10x faster.  Replit Agent 4 Is Here: Plan, Design, and Build a Habit Tracking App with Multiple AI AgentsA hands-on tutorial for building a habit tracking app with an infinite canvas and parallel agents (plus why I think code is the foundation of all knowledge work) 
We’ve raised $400M at a $9B valuation.
Investors include Georgian, G Squared, Prysm, 1789, YC, Coatue, a16z, Craft, and QIA, with strategic investments from Accenture, Databricks, Okta, and Tether. We’re also lucky to have incredible individuals backing us, including Shaq and 
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3 | via Alex How We Hacked McKinsey's AI PlatformAn autonomous AI agent found a SQL injection in McKinsey's Lilli AI platform. What it extracted was worse than we expected.  |
4 | This X thread summarises various announcements made at Ask, the Perplexity Developer Conference including Personal Computer, their API platform which comprises of 4 API's. |
5 | via Dima Kuchin would love your feedback on my latest project - AI frameworks syntax/pattern comparison: |
6 | via Ben Jammin Hey yall, I just launched a product on Product Hunt and would appreciate any help I could get. Retell.Video turns any YouTube, TikTok, Twitter/X, or Instagram video into 40+ formats. Social posts, whiteboards, infographics, podcasts, and more. |
1 | It's raining Coding Agents news this week
Riding on the above xAI hires senior Cursor leaders Andrew Milich and Jason Ginsberg. Also sharing Aakash Gupta's commentary on this hires
I’m proud to be joining SpaceX and xAI with @milichab
It has become clear that software is changing fundamentally. More and more, people can shape the tools they use directly, and the ceiling of what can be built keeps rising. What makes xAI special is the scale of its
Cursor is raising at a $50 billion valuation. Elon just pulled two of its product leaders into a $1.25 trillion company and told them to build xAI’s coding product. Both report directly to him.
Milich and Ginsberg ran engineering and product at the company that went from $0 to OB-1 came out of stealth as a self-improving coding agent with super impressive Terminal Bench scores beating Droid, Codex, Claude Code
OB-1 is now available for general access!
#1 on Terminal Bench. The coding agent that built itself.  |
2 | Wondering by Cheng-Wei Hu (formerly at NotebookLM) is out of stealth and in early-access. Beta code changes daily so follow these handles for access codes. Blurb below ==== It's Duolingo for anything — turning any topic into a guided path with bite-size visual lessons that can fit into your busy schedule. But you don't sacrifice depth/effectiveness for convenience: Total Control: You decide how deep you want to go, how difficult the material should be, and how personalized the experience feels. Active Learning: We provide the tools you need to practice, test your understanding, and actually apply what you’ve learned. Long-term Mastery: It’s built to help you truly remember and master any subject, not just skim the surface. |
3 | Lightpanda Browser Gains Traction for Efficient AI Automation Lightpanda, built in Zig, skips graphical rendering to offer instant startups and low memory—using just 24MB to fetch 100 pages in 2.3 seconds, compared to Chrome's 207MB and 25 seconds. Its GitHub repo has over 13,000 stars, with drop-in support for tools like Puppeteer and Playwright, and backing from Hugging Face and Mistral AI. While beta limitations like partial Web API support exist, early tests show it cuts infrastructure costs dramatically, from $500 to $50 monthly for some users.  BREAKING: Someone just open-sourced a headless browser that runs 11x faster than Chrome and uses 9x less memory.It's called Lightpanda and it's built from scratch specifically for AI agents, scraping, and automation. Not a Chromium fork. Not a hack. A completely new browser  |
4 | via Ben Jammin Getting the most out of Nano Banana 2 |
5 | HydraDB Raises $6.5M to Fix AI Context Retrieval Flaws HydraDB launched from stealth with $6.5 million in seed funding to replace vector databases, which founder Nishkarsh Srivastava says deliver confident but irrelevant results in AI systems. The startup's ontology-first graph tracks entity relationships, document changes, and distinctions like 'Apple the customer' versus the fruit, claiming 90% accuracy on benchmarks and sub-200ms latency. Backed by investors including Google DeepMind's Jeff Dean, it targets enterprise needs with features like self-hosting
We've raised $6.5M to kill vector databases.
Every system today retrieves context the same way: vector search that stores everything as flat embeddings and returns whatever "feels" closest. Similar, sure. Relevant? Almost never. Embeddings can’t tell a Q3 renewal clause from a 
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6 | Shopify CEO's AI Agent Boosts Liquid Engine Speed by 53% Liquid, the templating engine Lütke created in 2006 for Shopify stores, powers billions of renders daily across 5.6 million active shops. Using pi-autoresearch—a tool inspired by Andrej Karpathy's autoresearch—he ran 120 experiments, landing 46 commits that passed 974 unit tests without regressions. Key wins included faster tokenizers and pre-computed strings, with developers already replicating gains on engines like Laravel's Blade and Erlang/OTP. At Shopify's massive scale, these micro-optimizations promise big compute savings and signal a shift where AI handles performance tweaks autonomously.
OK, well. I ran /autoresearch on the the liquid codebase.
53% faster combined parse+render time, 61% fewer object allocations. This is probably somewhat overfit, but there are absolutely amazing ideas in this. 
Published some notes on @tobi's autoresearch PR that improved the performance benchmark scores of the Liquid template language (which Tobi created for Shopify 20 years ago) by a hefty 53% simonwillison.net/2026/Mar/13/li…
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1 | In this 2.5 hour conversation with Dwarkesh Patel, Dylan Patel of Semi Analysis gives a deep dive on the 3 big bottlenecks to scaling AI compute: logic, memory, and power. And walks through the economics of labs, hyperscalers, foundries, and fab equipment manufacturers. Learned a ton about every single level of the stack. |
2 | via James Chan I want to strongly recommend a 1.78L box as homelab server. I just bought the Minisforum MS-A2; it even comes with a 70W dGPU slot! I’m awaiting my Blackwell RTX Pro 4000 to complete the package. 16c32 thread 128gb ddr5-5600 ram. Plus 3 nvme slots that lets me do proxmox ZFS This is another tiny box running 128gb AI 395+ Strix Halo; great for standalone headless LLM as part of a tiered stack MINISFORUM MS-A2Powered by AMD Ryzen 9 9955HX, the MINISFORUM MS-A2 supports up to 96GB DDR5-5600, triple PCIe 4.0 M.2 storage with U.2 NVMe, dual 10Gbps SFP+ plus 2.5G LAN, WiFi 6E, BT 5.3, and a split-capable PCIe x16 slot for advanced expansion.  Gonna tie these babies together as my weekend projects |
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Santorini Villa surrounded by water and nature, village, close view, volumetric lighting, photorealistic, insanely detailed and intricate, Fantasy, epic cinematic shot, trending on ArtStation, mountains, 8k ultra hd, magical, mystical, matte painting, bright sunny day, flowers, massive cliffs, Sweeper3D