POV: selling the shovels while others blow through 100B tokens a month https://t.co/ozCVNgO1jg pic.twitter.com/JNFR0sUII1
— The Rundown AI (@TheRundownAI) 2 juin 2026
POV: selling the shovels while others blow through 100B tokens a month
MACHINE LEARNING
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Selling the shovels while others burn 100B tokens monthly
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Factory’s auto model selection outpaces OpenAI and Anthropic
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Factory now auto selects the right model for you…I don’t see how Anthropic or OpenAI can compete with this.
— Nathan Lands (@NathanLands) 2 juin 2026
Models will continue to be good at different things, with different cost profiles. And that will change more rapidly over time.
Now you don’t have to worry about that. https://t.co/ChWaOWnzv3Factory now auto selects the right model for you…I don’t see how Anthropic or OpenAI can compete with this. Models will continue to be good at different things, with different cost profiles. And that will change more rapidly over time. Now you don’t have to worry about that.
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AI identifies cat; bounding box pixel decoding is slow
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An AI can tell you there's a cat in the image. Pointing to the exact pixels is the hard part.
— Satya Mallick (@LearnOpenCV) 2 juin 2026
The reason it's slow: most VLMs spell out a bounding box one coordinate token at a time — some even split "1024" into single digits. But a box's corners are connected. Decode them… pic.twitter.com/eoJu0PiHGUAn AI can tell you there's a cat in the image. Pointing to the exact pixels is the hard part.
The reason it's slow: most VLMs spell out a bounding box one coordinate token at a time — some even split "1024" into single digits. But a box's corners are connected. Decode them -
Mustafa Suleyman predicts three OOM jumps in training compute by 2029
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https://t.co/LizAzIh7dN pic.twitter.com/VVreg7R7OW
— Bojan Tunguz (@tunguz) 2 juin 2026At Microsoft Build today, Mustafa Suleyman predicted three more OOM jumps in the amount of training compute between now and summer 2029.
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Benchtalks #2: SWE-bench creator jyangballin discusses ProgramBench and upcoming project
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Benchtalks #2: @jyangballin
, creator of SWE-bench, fresh off ProgramBench (every frontier model: 0% at launch). Out soon with @vincentsunnchen
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Codex stores local state database for pulling
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Yes you can… Codex keeps a state database on your local machine that you can pull from
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Comparison of Opus/sonnet to sonnet 4.6 on SWE pro
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Re Opus/sonnet: from what I understood they compare it to sonnet 4.6. only on SWE pro comparable to opus. If I’m correct the quote was „side by side with sonnet 4.6“
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Edge machine learning adjusts production speed based on real-time quality
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Production lines now run machine learning on the edge to adjust speed based on quality in real time. When quality drops below threshold, the line automatically slows down. No cloud latency when optimizing bottleneck processes. #edgeai #smartfactory pic.twitter.com/QQqQl0Q6il
— Lucian Fogoros (@fogoros) 2 juin 2026Production lines now run machine learning on the edge to adjust speed based on quality in real time. When quality drops below threshold, the line automatically slows down. No cloud latency when optimizing bottleneck processes. #edgeai #smartfactory
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NemoClaw on DGX Spark: AI agent from unboxing in minutes
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From unboxing to AI agent in minutes. Getting an agent running used to mean sourcing a model, configuring an inference backend, installing a runtime, and wiring it all together. The new NemoClaw install path on DGX Spark replaces that with a single command. DGX Spark also
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Building Production-Ready AI Applications Workshop with 40% Discount
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Workshop hosted by @PacktPublishing @PacktDataML "Building Production-Ready AI Applications: Hands-On Workshop" on June 6 (2.5 hours) Register here for 40% OFF (my discount code automatically applied at checkout): https://
eventbrite.co.uk/e/building-pro
duction-ready-ai-applications-hands-on-workshop-tickets-1986209259362?aff=KirkB&discount=KIRK40
… Learn to build, deploy, and secure