Bloomberg Technology
What if Big Tech’s Massive Bet on AI Is a False Start?
Big tech is spending hundreds of billions on AI. Is it money well spent? Merryn Somerset Webb explains why it could be a colossal false start. ——– Like this video? Subscribe to Bloomberg Technology on YouTube: Watch the latest full episodes of “Bloomberg Technology” with Caroline Hyde and Ed Ludlow here: Get the…
Bloomberg Technology
Oura CMO Says Wearable Health Tracking Moving Beyond Checkups
Oura’s Chief Medical Officer suggests wearable tech could give people a continuous picture of their health, rather than relying on occasional doctor visits. Dr. Ricky Bloomfield says the constant stream of health data provided to users of wearables, like Oura’s smart rings, can improve health outcomes and influence behavior. He says the long-term goal is…
Bloomberg Technology
OpenAI’s $70B Run Rate Meets AI’s Infrastructure Challenge
loomberg’s Ed Ludlow breaks down OpenAI’s latest annualized revenue, expected to reach or exceed $70 billion by the end of the year. Plus, Oracle keeps several data centers on track by relying on truck deliveries of natural gas, and a conversation with Kleiner Perkins partner Ilya Fushman on the mega AI IPO pipeline and the…
Bloomberg Technology
Kleiner Perkins: AI’s Next Trillion-Dollar Companies Go Physical
Kleiner Perkins partner Ilya Fushman says AI is still in the early stages of reshaping the economy, with opportunities extending from frontier models like Anthropic to consumer agents, autonomous vehicles and robotics. He discusses why the firm sees physical AI as a potential source of the next trillion-dollar companies, the rapid growth of leading private…
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Oura CMO Says Wearable Health Tracking Moving Beyond Checkups
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@truevegas
May 21, 2026 at 4:00 pm
Yes 😂 LLMs can learn on the job though. At least Claude can. You just need to save relevant information in its Artifacts and Projects
@orvn
May 21, 2026 at 4:47 pm
Not training on the job, just adding to context, or in best case, accessing a vector storage db in a serial process. The model doesn’t inherently change until training or fine-tuning. There are no inference-training hybrid models at this time. Just elaborate loops.
@orvn
May 21, 2026 at 4:50 pm
I go with Yan Lecun’s thinking here: language is too limited of a training set source. We need to simulate human sensory input (in a non-synthetic way)