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intelligence is getting cheaper openai unlocked serious price-performance with Luna. spacexAI keeps frontier pricing low with Grok 4.5/4.6. meta's and google's flash models are aggressively low. even GLM has pushed flash costs down to cents. local AI keeps making inference cheaper and then there’s Anthropic...

Intelligence is on its way to become a commodity. And when infrastructure commoditizes, value explodes at the application layer. Electricity did it. Compute did it. The internet did it. Entrepreneurs, this is your chance!

Intelligence is getting cheaper. @OpenAI Sol's price reductions & discounts on Vercel AI Gateway have made Sol our fastest-growing frontier model. This shows ① that the demand for intelligence is highly elastic: as inference costs fall, usage grows rapidly. ② If you're not using a gateway, you're missing out on this incredible price volatility, which lowers your operating costs and increases your margins. It's no wonder the router space has heated up… gateways are inevitable.

intelligence should not be treated as a tool subscription you buy but as capital you allocate. a few ways to optimise for it: 1/ budget it by the job, not the tool. ask what a specific task is worth if a model does it well, and then what it costs to run. you'll then be able to fund the ones that pay back. 2/ match the model to what's at stake. if you don't put your best people on low-stakes work, think about intelligence the same way: a cheap model for the high-volume tasks and an expensive one only where a mistake is costly. most teams overpay by running a premium model across everything. 3/ don't over-commit all at once, as intelligence typically gets cheaper every few months. a task that isn't worth automating today often is 2 quarters later. underwrite in short cycles rather than locking in one big flat contract. @stripe also put it well in their openrouter letter: you need to reason for the cost and return of every unit of intelligence the way you would for capital.

Intelligence and Experience are orthogonal vectors Terence Tao is perhaps the world’s smartest person, but drop him into an accounting firm or onto a construction site and on day one he’s not going to be very productive @trajectorylabs calls this The Experience Gap, and they have a way to close it @QuantumArjun explained how at our Sovereign AI event: 00:00 Introduction 00:12 Building the platform for continual learning 01:33 The experience gap: models have IQ but no tenure 02:52 Traceability → model spec → better models and harnesses 05:27 Four wishes for the agent ecosystem 06:34 Wish 1: Trace the whole tree — and capture the corrections 08:03 Wish 2: Evals from real traffic, graded in the real harness 09:26 Wish 3: Let the agents cook, and make tool responses informative 10:34 Wish 4: Get comfortable on open weights, experiment with routers 11:51 Why owning your intelligence shouldn't be consulted away 13:15 Demo: import a benchmark, train a model, deploy it 14:28 Q&A: What's the trainable object — weights, harness, or context? 16:08 Q&A: Continual learning without training on customer data 17:13 Q&A: Episodic memory and the hierarchy of feedback 19:37 Q&A: Where continual learning matters most

Intelligence officials are warning that the New IRA is plotting a campaign of violence aimed at driving migrants out of Ireland, including threatening to give some just 24 hours to leave the country.

Intelligence agencies: 🇺🇸 United States → CIA 🇮🇱 Israel → Mossad 🇷🇺 Russia → SVR 🇬🇧 United Kingdom → MI6 🇮🇳 India → RAW 🇦🇺 Australia → ASIS 🇵🇰 Pakistan → ISI 🇩🇪 Germany → BND 🇫🇷 France → DGSE 🇨🇦 Canada → CSIS 🇨🇳 China → MSS 🇿🇦 South Africa → SSA 🇮🇹 Italy → AISE 🇸🇪 Sweden → SÄPO 🇳🇴 Norway → NIS 🇰🇷 South Korea → NIS 🇧🇷 Brazil → ABIN 🇳🇬 Nigeria → NIA 🇪🇸 Spain → CNI 🇺🇦 Ukraine → FISU 🇵🇱 Poland → AW 🇳🇱 Netherlands → AIVD 🇮🇩 Indonesia → BIN 🇦🇷 Argentina → AFI 🇹🇷 Turkey → MIT 🇲🇽 Mexico → CNI