Pandemics forced humans to break with the past & imagine their world anew. This one is no different. It is a portal, a gateway between one world and the next.
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Another sobering account of a Lebanese Shia who lost everything.. he talks about Hezbollah’s hypocrisies, lack of compensation, and how the group differentiates between its members and the rest of the community. I hear these every day in the private spaces of the community, but sometimes, someone speaks out 👇
Claude's consumer users have grown 2.2x in the last 6 weeks!
At 79M weekly visitors, it's still 7-17x smaller than Gemini (539M) and ChatGPT (1.3B), but it is growing 3-6x faster.
The lines between which labs do enterprise and which do consumer are slowly blurring.
Inception Labs is the AI co everyone's sleeping on.
3 profs from Stanford, Cornell and UCLA just dropped Mercury 2, the first reasoning language (and code) diffusion model ever. It is 10x faster and the cheapest model for its quality.
They're not quite at frontier like the Claude 4.6 / 5.3s of the world but they are reshapinging pareto-frontier for price/quality and latency/quality.
If they get to frontier, they'd upend the current economics of large language models.
I know this is pretty well established at this point, but Codex 5.3 is a much more effective model than Opus 4.6. I went back and forth on both for a bit, but haven’t touched Opus at all now for a full week. First model to get me off of Opus… ever. Good job Codex team.
The Pentagon has sent Anthropic a “best and final offer” to secure full lawful access to its AI model, Claude, for military use before a Friday deadline set by Defense Secretary Pete Hegseth.
If Anthropic refuses, it could lose its $200 million defense contract, be labeled a supply chain risk, and potentially face action under the Defense Production Act.
Source: CBS News
Nvidia just revealed Vera Rubin.
Ships H2 2026.
The numbers are wild:
→ 10x more performance per watt vs Blackwell
→ 10x cheaper inference token cost
→ 4x fewer GPUs to train the same MoE model
Energy was the biggest bottleneck in AI.
Nvidia just made it 10x cheaper.
It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December and basically work since - the models have significantly higher quality, long-term coherence and tenacity and they can power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow.
Just to give an example, over the weekend I was building a local video analysis dashboard for the cameras of my home so I wrote: “Here is the local IP and username/password of my DGX Spark. Log in, set up ssh keys, set up vLLM, download and bench Qwen3-VL, set up a server endpoint to inference videos, a basic web ui dashboard, test everything, set it up with systemd, record memory notes for yourself and write up a markdown report for me”. The agent went off for ~30 minutes, ran into multiple issues, researched solutions online, resolved them one by one, wrote the code, tested it, debugged it, set up the services, and came back with the report and it was just done. I didn’t touch anything. All of this could easily have been a weekend project just 3 months ago but today it’s something you kick off and forget about for 30 minutes.
As a result, programming is becoming unrecognizable. You’re not typing computer code into an editor like the way things were since computers were invented, that era is over. You're spinning up AI agents, giving them tasks *in English* and managing and reviewing their work in parallel. The biggest prize is in figuring out how you can keep ascending the layers of abstraction to set up long-running orchestrator Claws with all of the right tools, memory and instructions that productively manage multiple parallel Code instances for you. The leverage achievable via top tier "agentic engineering" feels very high right now.
It’s not perfect, it needs high-level direction, judgement, taste, oversight, iteration and hints and ideas. It works a lot better in some scenarios than others (e.g. especially for tasks that are well-specified and where you can verify/test functionality). The key is to build intuition to decompose the task just right to hand off the parts that work and help out around the edges. But imo, this is nowhere near "business as usual" time in software.
OpenClaw can create animate videos if use this skill
You can now vibecode a viral video with OpenClaw
(Works with Claude Code).
00:00 Intro
00:55 1st prompt
02:11 Video Generated
03:29 Editing video w @openclaw
07:28 Music w/ @elevenlabs skill
09:22 Final Video ✅
11:07 Where to find skill 👇
BREAKING 🚨: Anthropic introduced Cowork and plugin updates for enterprises.
“Plugins turn Claude into specialized agents for every role and department. Now, you can build private marketplaces to distribute them across your organization.”
A new Agents tab 👀