#frontiermodels

The Moose has Left the Woods! OR when your business model is crumbling before your eyes - go BEG the government to "protect" your product! AI Executives are shitting their pants given the release of Moonshot AI’s Kimi K3. I seem to recall a similar situation re DeepSeek-1 in Jan. 2025. All the freaking out about "winning and losing" and whining about "distillation" re China are the WRONG things to focus on. It is a fallacy to think US Frontier Labs would be successful in locking down AI models and charging high prices for access in perpetuity. It is inevitable that open weight models would catch up, and put SERIOUS pressure on pricing. Welcome to software - It just happens that China is leading the charge on this one. The magic is NOT about the model. The magic is creating the guardrails and infrastructure (ecosystem) around the model, and supporting practical use cases the model excels at, and making them so good to use that no user wants to switch to something "almost as good", even if it’s a touch cheaper. Net-net, governments cannot stop software at the border. Import/Export controls will NOT be effective at stopping Chinese firms from distilling US models, even if the USA is successful at starving China of inference, which also will NOT happen. https://futurism.com/artificial-intelligence/ai-execs-quaking-boots-chinese-models #AI #LLMs #Kimi-K3 #Kimi #FrontierModels #USA #China #ImportControls #ExportControls #Software #Distillation #Open-Weight-Models #AIPloicy #Protectionism #AIRegulation #DeepSeek #Software #OpenSource #Moonshot

“Now that organisations have been weaned off earlier 'all you can eat' #subscription plans and onto 'pay-as-you-go' metered #token consumption, they're all in various stages of sticker shock. Several talks at the conference discussed managing token costs, such as AJ Fisher's exploration of 'diffusion' models. Analogous to the diffusers used to generate images, they generate text at lighting speed, making them cheaper to operate while also being less accurate than the pricey and slower “autoregressive” #FrontierModels. Fisher's solution? Use a low-quality model and make it iterate on a problem (that new classic, the #RalphWiggumLoop) until it gets a satisfactory solution. This approach delivers the same result as a full-fat model, for anywhere from one half to one tenth the spend. #Google released its #DiffusionGemma model, which produces text at prodigious speed, just days after Fisher's talk, giving everyone the ability to try this approach.” #AI / #ArtificialIntelligence / #developers / #software