"We don't really need AI to get smarter. What we need is for it to have context." Databricks co-founder and CEO @alighodsi joined @CarolineHydeTV and @EdLudlow at the Bloomberg Tech event in San Francisco to make case that the real breakthrough will come not from smarter models
ENTERPRISE AI
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NVIDIA: Agents become new layer of enterprise software
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Agents are becoming a new layer of enterprise software.
— NVIDIA (@nvidia) 4 juin 2026
Jensen Huang explains why companies like @Cadence, @CrowdStrike, @Dassault3DS, @PalantirTech, @SAP, @ServiceNow, @Siemens, and @Synopsys are building agents on NVIDIA, and why the opportunity for software partners is only… pic.twitter.com/xLAFePtUFgAgents are becoming a new layer of enterprise software. Jensen Huang explains why companies like @Cadence
, @CrowdStrike
, @Dassault3DS
, @PalantirTech
, @SAP
, @ServiceNow
, @Siemens
, and @Synopsys are building agents on NVIDIA, and why the opportunity for software partners is only -
Anthropic prepares Mythos-level model release with pricing
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Get ready, friends. Anthropic appears to be preparing the release of its Mythos-level model. Pricing: $16 per 1M input tokens / $80 per 1M output tokens. The release is likely very close, possibly even in the same week as GPT-5.6. Competition is heating up again. Gemini 3.5
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Next phase of enterprise AI is about workflows, Asana summit reveals
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The next phase of enterprise AI will be about workflows. That was the message coming though loud and clear after spending the day at Asana’s Work Innovation Summit in London and speaking with CEO Dan Rogers and Chief Product Officer Arnab Bose. We have seen a huge rise in
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NVIDIA DGX Spark updates boost agentic AI inference speeds 2.6x
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Is your infrastructure ready for the shift to agentic AI? Discover how the latest NVIDIA DGX Spark updates simplify local agent workflows and boost inference speeds by up to 2.6x using NVIDIA NemoClaw. Read the blog: https://
nvda.ws/4uPi16d -
Suleyman: Microsoft not a top AI lab, always intended
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“Microsoft is not a top AI lab, and that’s always been my intention,” says Mustafa Suleyman.
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New course on serving LLMs efficiently with Red Hat
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New course on serving LLMs efficiently — how do you serve models to many concurrent users at low latency and reasonable cost? This short course is built with @RedHat and taught by @cedricclyburn.
— Andrew Ng (@AndrewYNg) 4 juin 2026
Efficient LLM serving requires efficient memory management. A 70B-parameter model… pic.twitter.com/KeKveT2IicNew course on serving LLMs efficiently — how do you serve models to many concurrent users at low latency and reasonable cost? This short course is built with @RedHat and taught by @cedricclyburn
. Efficient LLM serving requires efficient memory management. A 70B-parameter model -
ElevenCreative Flows links 50+ models with voice, music, SFX
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ElevenCreative Flows connects 50+ image and video models with voice, music, and SFX on one canvas. Creators and marketers use it to chain modalities together into complete pipelines and test creative variants across products, languages, and formats.
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Clippy is back, powered by new Microsoft MAI models for code judgment
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CLIPPY 👏 IS 👏 BACK 👏
— Charly Wargnier (@DataChaz) 4 juin 2026
but this time he’s powered by frontier AI models ready to judge your code 🙈
Microsoft’s new MAI models just dropped on @aimlapi
They recreated Windows XP using MAI-Thinking-1 + @crewAIInc, and brought our fave assistant to life using MAI-Image 2.5 👀↓ https://t.co/AkCibYJJFyCLIPPY IS BACK but this time he’s powered by frontier AI models ready to judge your code Microsoft’s new MAI models just dropped on @aimlapi They recreated Windows XP using MAI-Thinking-1 + @crewAIInc
, and brought our fave assistant to life using MAI-Image 2.5 ↓ -
LinkedIn AI Problem: Peacocks, AI-Slop, and Author’s Assessment
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What do AI, peacocks, and LinkedIn have in common? Read and see: https://
medium.com/@RPauloDelgado
/linkedin-has-an-ai-problem-and-people-are-noticing-cade7a7b65fd
… Do you agree with the author’s assessment? Have you experienced AI-slop yourself?