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
Intel Tumbles on PC Outlook, AWS CEO on AI Spending and Growth
Bloomberg’s Ed Ludlow looks at the fall in Intel shares as a bleak outlook exposes the chipmaker’s struggle with a deepening PC slump and difficulty meeting CPU demand. Plus, AWS CEO Matt Garman discusses the cloud giant’s accelerating growth and massive AI buildout. And, Bitcoin tumbles after hackers siphoned off $6.3 billion from Binance in…
Bloomberg Technology
Why Anthropic’s AI Edge Appeals to Long-Term Investors
Anthropic’s technical expertise, innovation and efficient use of compute set it apart in the AI landscape, says Peter Singlehurst, head of the Private Companies Team at Baillie Gifford. Singlehurst discusses why Anthropic’s governance structures – giving its seven founders voting control – are good for long-term investors. He joins Ed Ludlow on “Bloomberg Tech.” ——–…
Bloomberg Technology
Roblox Sees AI Content Surge as Daily Active Users Fall
Roblox CEO David Baszucki says the platform has seen an explosion of AI-fueled content in the last three months. But the online gaming company is seeing some growing pains after rolling out tougher child-safety measures, with daily active users falling 9% last quarter, while bookings dropped 12%. Baszucki joins Ed Ludlow on “Bloomberg Tech.” ——–…
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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)