Teaching People About Probabilistic Systems

Joined March 2026
Everything AI retweeted
Wow, more than 4,500 people have already used the platform. Hopefully this keeps growing, and we’ll be able to onboard a lot more users by the time WhatsApp fully rolls out usernames.
Introducing usernamecheck.online. It's a simple platform where, if you receive a suspicious message from an unknown username, you can search it to see whether it has been reported by other users. If you come across a suspicious username yourself, you can report it too.
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Everything AI retweeted
Introducing usernamecheck.online. It's a simple platform where, if you receive a suspicious message from an unknown username, you can search it to see whether it has been reported by other users. If you come across a suspicious username yourself, you can report it too.
Startup idea: Truecaller, but for usernames.
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Everything AI retweeted
This is one of the best and simplest pieces of content out there for anyone building AI products.
How to keep AI spend flat while token usage grows exponentially: Not with friction and spend alerts. With better defaults, routing, and caching. Better Defaults (not Usage Caps) – Engineers can choose any model they want, but defaults matter. We’re experimenting with defaulting to open weight models like GLM 5.2 and Kimi 2.7 through our LLM gateway, while still encouraging engineers to choose the right model for the task. 91% of our employees were never hitting their usage caps, so instead of lowering caps and driving up alerts, we're moving to cheaper defaults. Note that code reviews use a diversity of models, so they can check each other's work. Better Routing – In our custom harnesses, we preprocess prompts and route to the best model for the job, considering cache hits and model pricing. For instance, you may want a frontier model for planning, but not for execution where they can be overkill. Ultimately, humans shouldn't be choosing models - AI can automate this task. Better Caching – Cache misses are the easiest way to drive your cost up. All of our requests are cache aware, so we’re reusing a warm cache wherever possible. For example, our cache hit rate went from 5% → 60% in LibreChat once properly implemented. Keep Context Lean – Start fresh sessions when switching tasks. Scope file context narrowly. Disconnect unused tools. Don't just compact. The goal isn't fewer tokens used, it's fewer tokens wasted. Better Visibility – Our engineers can use as many tokens as they want, from whatever model they want, but we’ve made usage visible – and the more you spend on AI, the more impact we expect. The goal isn't to suppress usage. It's to build the infrastructure that makes exponential growth sustainable. Putting this into practice has cut our AI spend nearly in half, while our token usage continues to grow.
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Everything AI retweeted
We solve intelligence so intelligence can solve everything else.
i'm obsessed with what's happening in AI reforestation right now this Franco-Brazilian startup called MORFO took a patch of land in Brazil that was rock-hard and compacted from years of cattle farming. they replanted it using a single drone. months later the ground was covered in grass, bushes, and small trees. the land came back to life. here's how the whole thing works. 1. drones scan the terrain with high-resolution cameras and sensors 2. AI analyzes the imagery alongside soil samples, moisture levels, slope, and surrounding vegetation 3. the system picks from a catalog of 300+ native species, deciding exactly which plants will thrive in which specific spot 4. the drone fires biodegradable seed pods packed with seeds, nutrients, and moisture at 180 capsules per minute 5. satellite and drone imagery monitors regrowth over time, with AI tracking vegetation cover and biodiversity 6. two people and one drone cover 50 hectares a day. a person planting by hand manages about one hectare. and MORFO isn't alone. AirSeed in Australia drops 250,000 seed pods per day into bushfire-scarred koala habitat, replanting swamp mahogany that koalas depend on to survive. Flash Forest in Canada fires 50,000 pods daily into wildfire-destroyed boreal forest, planning the replanting alongside Cree Indigenous communities. re-green won Prince William's Earthshot Prize after planting 6 million seedlings across 30,000 hectares of Amazon and Atlantic Forest. five companies across four continents built this same approach independently. nobody coordinated. the physics of the problem demanded it. knowing which seeds belong in which soil used to require years of ecological fieldwork, manual planting crews, and budgets that made large-scale restoration nearly impossible. now two people with a drone and an AI model trained on local soil data can replant 50 hectares before lunch. this is the AI work that'll still matter in 50 years.
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Everything AI retweeted
One thing we’re overlooking is that token costs may not stay where they are today. As compute becomes more efficient, the cost of inference should continue to fall. Hopefully 🤞
It's going to be pretty sad once Claude Code subsidy goes away... There is no way I will be able to spend thousands of dollars on tokens every month... Until that happens, going to use it to the max...
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Everything AI retweeted
Hiring for an AI APM role at Anarock, Bengaluru. The requirements are pretty simple: • Strong first-principles thinking • AI-pilled and genuinely obsessed with learning • Someone who wants to build their career around AI If this sounds like you, DM me.
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Everything AI retweeted
Looking for an APM to join the AI team at Anarock. Seeking individuals who enjoy experimenting and working with AI. DM me to learn more about the role.
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Everything AI retweeted
Claude
@claudeaiFeb 24
New in Claude Code: Remote Control. Kick off a task in your terminal and pick it up from your phone while you take a walk or join a meeting. Claude keeps running on your machine, and you can control the session from the Claude app or claude.ai/code
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Everything AI retweeted
Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: goo.gle/4bsq2qI
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Everything AI retweeted
Agents are still too expensive. What we can do, ultimately, is build tools that agents can easily use. When the era comes where the general public uses agents, they'll run on cheap, lightweight Chinese open-source models. We need to build the tools now so those models can use them — tools so simple that even the basis for an agent's own judgment can be retrieved with a single query.
에이전트는 여전히 너무 비싸다. 결국 우리가 할 수 있는 건, 에이전트가 쉽게 사용할 수 있는 도구를 만드는 것이다. 대중이 에이전트를 사용하는 시대가 오면, 사람들은 저렴하고 가벼운 중국산 오픈소스 모델을 쓰게 될 것이다. 지금 그 모델들이 사용할 수 있도록 도구를 만들어두어야 한다. 에이전트가 스스로 판단할 수 있는 근거조차 간단히 조회할 수 있는, 그런 도구다.
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Funding Pulse Laminar #raised $3M seed to build open-source observability tools for #AI agents, helping teams trace, evaluate, and debug complex autonomous systems. A timely #AgenticAI and #OpenSource infrastructure play.
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Everything AI retweeted
Agentic AI Explodes in 2026! bizyet.com/en/AI/495 March 2026: Agentic AI is exploding! Evolving from tools to autonomous multi-agent systems, companies are using AI agents for complex workflows. Gartner predicts multi-agent systems will go mainstream—entrepreneurs, stop chasing models, master the "execution loop" to win! First to deploy wins big.  #AgenticAI #AI2026 #MultiAgent
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Everything AI retweeted
OpenAI releases GPT-5.4 mini: hardware-efficient model performing within 5% of GPT-5.4 on benchmarks, 2x faster than GPT-5 mini, with 400K token context window #AI #LLM #OpenAI siliconangle.com/2026/03/17/…
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Everything AI retweeted
OpenAI just dropped a free‑handed safety toolkit: 6 prompt‑based teen‑guard policies you can paste into any LLM. First time open‑source safety rules are treated like code... techcrunch.com/2026/03/24/op…
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Everything AI retweeted
Local AI > cloud AI. Run it yourself. No APIs, no gatekeepers, no monthly bills. Just open source tools in your hands. Control your data, control your future. /cc @FiendStudios
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Cisco just announced Zero Trust Access for AI agents at RSAC. MCP policy enforcement, agent-specific SOC tools. Shipping by June. Pipelock ships this today. 11-layer scanner, MCP proxy, process sandbox. 7,600+ tests in the public suite alone. Open source, single binary. pipelab.org/
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Everything AI retweeted
Tired of repetitive admin? Meet your digital teammate. By 2026, 40% of roles will work alongside AI agents. Shift from reactive tools to proactive agents and start building your AI roadmap today. #ProductivityHacks #AIAgents #TechTrends
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