Is there a business model for being profitable off training frontier open weights models? Other people can host, fine-tune, consult etc. as least as cheaply as you can. There are no ancilary product sales & it is fantastically expensive to make compared to most open source work
MACHINE LEARNING
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Steering Deep Agents via HITL Primitives
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Deep Agents deep dive part 4 | Steering@sydneyrunkle on how the Deep Agents harness supports steering via first-class HITL primitives. pic.twitter.com/DYfLGkzDSP
— LangChain (@LangChain) 18 juin 2026Deep Agents: Deep Dive Part 4 | Steering @sydneyrunkle on how Deep Agents support enables steering via first-class HITL primitives.
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Debate on most capable open-weight LLM averaged across benchmarks
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I don’t disagree. Let’s say most capable open-weight LLM when averaged over all major benchmarks (reasoning, coding, logic, tool use, math, knowledge)
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Imminent GPT-5.6 release announced for next Thursday
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Great, looks like next Thursday is going to be huge: imminent release of GPT-5.6
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Outputmaxxing: AI compute grids, Anthropic coding takeoff, data center backlash
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Long Live Outputmaxxing: AI compute grids, Anthropic’s coding takeoff, data center backlash, & frontier systems https://t.co/dc8eBNzj5a@amppublic founder @AnjneyMidha explains why 95% GPU utilization was considered an outage at Google, why the AI race is no longer just about… pic.twitter.com/i64gfbwFis
— Latent.Space (@latentspacepod) 18 juin 2026Long Live Outputmaxxing: AI compute grids, Anthropic’s coding takeoff, data center backlash, & frontier systems https://
latent.space/p/anj @amppublic founder @AnjneyMidha explains why 95% GPU utilization was considered an outage at Google, why the AI race is no longer just about -
GeoCodeBench: Can AI code like a PhD in 3D vision?
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Can AI code like a PhD in 3D computer vision? Researchers from Tsinghua, Peking, Nanjing, and Toronto introduce GeoCodeBench — a new benchmark that transforms real code from 3D vision papers into function completion tasks with
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AI isn’t magic: it’s an 8-step process
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AI isn’t magic. It’s a process. 8 steps:
define problem
collect/prepare data
choose model
train
evaluate
fine-tune
deploy
ensure ethics & safety Real value comes from running this loop well. #AI #MachineLearning #DataScience #ResponsibleAI -
AI Referees in Beach Volleyball: Enhancing Game or Changing Its Soul?
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#AI Referees the Sand: Real-Time Beach Volleyball Analysis — Enhancing the Game or Changing Its Soul?
— Ronald van Loon (@Ronald_vanLoon) 18 juin 2026
by @measure_plan
#ArtificialIntelligence #MachineLearning #ML pic.twitter.com/GbkTa4k2Ih#AI Referees the Sand: Real-Time Beach Volleyball Analysis — Enhancing the Game or Changing Its Soul?
by @measure_plan #ArtificialIntelligence #MachineLearning #ML -
Neural operator for end-to-end ultrasound lung aeration reconstruction
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Check out our work on end-to-end ultrasound using neural operator for lung aeration https://t.co/CV3Qnh3qCk
— Prof. Anima Anandkumar (@AnimaAnandkumar) 18 juin 2026
We directly reconstructs lung aeration maps from RF data, bypassing the need for traditional beamformers and indirect interpretation of B-mode images. https://t.co/FDSFaOpYOhCheck out our work on end-to-end ultrasound using neural operator for lung aeration https://
pmc.ncbi.nlm.nih.gov/articles/PMC11
722513/
… We directly reconstructs lung aeration maps from RF data, bypassing the need for traditional beamformers and indirect interpretation of B-mode images.
