ps someone did a study and found that my technical claims were 90% correct; neurosymbolic AI which I long advocated for is now finally in vogue, etc.
MACHINE LEARNING
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Researchers propose CODA to keep data on chip longer for AI training
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Can AI training be fixed by keeping data on the chip longer? Researchers from MIT, Princeton, Together AI, and Meta introduce CODA — a new way to rewrite Transformer building blocks as GEMM-plus-epilogue programs. Instead of moving large intermediate tensors back and forth to
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YOLOE-26: Instance Segmentation via Text Prompts Without Training
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Instead of training a new model, what if you could just tell your AI what to look for?
— Satya Mallick (@LearnOpenCV) 4 juin 2026
That's YOLOE-26 with text prompts. Hand it a list — Person, Helmet, Safety vest — get instance segmentation masks, not just boxes.
Full tutorial: https://t.co/AZyMQYN0Tw pic.twitter.com/hty15tPBH6Instead of training a new model, what if you could just tell your AI what to look for?
That's YOLOE-26 with text prompts. Hand it a list — Person, Helmet, Safety vest — get instance segmentation masks, not just boxes.
Full tutorial: https://
vist.ly/56iqy -
Bootstrap Your Generator: Unpaired Visual Editing with Flow Matching
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Bootstrap Your Generator Unpaired Visual Editing with Flow Matching
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Prior ML data issues could hinder AI investment, citing fake MIT study
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I actually read this & it is super weird, it appears to be an argument that prior machine learning systems (not generative AI) did not generate savings due to data issues so that will lead to a lack of investment into current AI systems Also it cites the mostly fake “MIT study”
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Gemma 4 12B open weights model runs on laptop
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Check out our Gemma 4 12B model: it's a super capable open weights model that can run directly on your laptop.
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Ideogram 4.0 released: open image model with 2K resolution and layout control
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🆕The best open image model just dropped and you can run it on your own hardware.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 4 juin 2026
Ideogram 4.0 is here!
Here's what changed:
▪️ Native 2K resolution
▪️ Best-in-class text rendering (finally, readable text in AI images)
▪️ Bounding-box layout control – place elements exactly… pic.twitter.com/STSqDQ6i9PThe best open image model just dropped and you can run it on your own hardware. Ideogram 4.0 is here! Here's what changed: Native 2K resolution Best-in-class text rendering (finally, readable text in AI images) Bounding-box layout control – place elements exactly
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Step-by-step LLM engineering projects roadmap
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Step-By-Step LLM Engineering Projects Roadmap – Build a tokenizer
– Learn embeddings
– Implement RoPE / ALiBi
– Hand-wire attention
– Build MHA
– Build a Transformer block
– Train a mini-former
– Compare objectives
– Build sampling
– Speculative decoding
– KV cache
– MQA / GQA / -
Colocating memory avoids costly transfers during inference
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"If you can co-locate your memory, you're getting a lot more bang for your buck because you're avoiding this costly memory transfer."@sarahookr (author of The Hardware Lottery, founder of @adaptionlabs ) on why inference is forcing a new chip paradigm – one that wafer-scale was… pic.twitter.com/tTfu19zUWU
— Cerebras (@cerebras) 4 juin 2026“If you can colocate your memory, you get much more value for your money because you avoid that costly memory transfer.” @sarahookr (author of The Hardware Lottery, founder of @adaptionlabs) on why inference forces a new paradigm
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AgentChord: pre-wired recovery for proactive robot task graphs
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What if robots could predict and prevent failures before they happen—instead of just reacting to them? Researchers from CUHK Shenzhen, DexForce, and Shenzhen Loop Area Institute introduce AgentChord: a system that builds a task graph ahead of time, pre-wired with recovery