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
From Coding to Finance: Microsoft’s AI Agent Push
Microsoft says AI agents are already fundamentally changing how its software engineers work — and sales, finance and other knowledge workers are next. Charles Lamanna, Microsoft EVP of Copilot, Agents and Platform, joins Bloomberg to explain how employees are shifting from doing tasks themselves to overseeing AI agents, why the company sees the technology driving…
Bloomberg Technology
What DeepMind’s Shakeup Means for the UK
Demis Hassabis’ departure as head of DeepMind has weakened London’s bid to stay in the AI race. Mark Bergen explains the “gravitational shift” happening at Google. ——– 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
Introducing the Our Town Podcast
Our Town from Bloomberg’s Big Take podcast and iHeart Radio follows residents of Gainesboro, Tennessee, after a group of far-right Christians moves in with plans for a radical social experiment. ——– Like this video? Subscribe to Bloomberg Technology on YouTube: Watch the latest full episodes of “Bloomberg Technology” with Caroline Hyde and Ed Ludlow…
From Coding to Finance: Microsoft’s AI Agent Push
What DeepMind’s Shakeup Means for the UK
Introducing the Our Town Podcast
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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)