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SLM-Conditioned Hierarchical Relation Routing for Labeled Property Graph Learning
arXiv:2608.26132v1 Announce Type: new Abstract: Labeled property graphs combine relational structure with heterogeneous textual and categorical properties attached to both nodes and relationships. Conventional graph neural networks typically represent these properties as static feature vectors, limiting their ability to determine which semantic evidence should influence message propagation for a particular prediction target. We propose SLM-Conditioned Hierarchical Relation Routing, an architecture that integrates a small language model directly into graph message selection. A topology GNN provides a stable structural representation and prediction anchor. For each target node, incident messages combine the neighbor's structural state, node-property encoding, relationship-property encoding, and relationship type. A parameter-efficient SLM processes structured graph soft tokens and produces a target-conditioned routing query. This query first selects relevant messages within each relation
I Stopped Writing Prompts. I Started Chaining Skills.
A few weeks ago I would have told you prompt engineering was mostly about phrasing the right verbs, the right constraints, maybe a Continue reading on Medium »
Can you biohack your motivation? What Emotion AI reveals about dopamine.
We have all been told the same generic motivation advice a thousand times: Just push through it. Write down your goals. Wake up at Continue reading on Medium »
Please stop flooding our projects with AI slop to furnish your CV
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Anthropic was illegally blacklisted by the Trump administration, court rules
On Thursday, a judge ruled that the Pentagon's blacklisting of Anthropic earlier this year was unconstitutional, delivering the AI lab a win in a monthslong rollercoaster of a battle with the Trump administration. The lawsuit, filed in March in a California district court, accused the Trump administration of unlawfully retaliating against Anthropic for setting "red lines," or unacceptable military use cases of its AI technology. "The empty invocation of national security is not a blank check to punish and retaliate against government critics," Judge Rita F. Lin, a district judge in the northern district of California, wrote in the ruling … Read the full story at The Verge.
Judge Rules Trump Administration’s Blacklisting of Anthropic Was Illegal
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AI, athletes, and Keith Rabois: StrictlyVC is back in New York on September 10
A boutique StrictlyVC evening returns to New York's West Village on September 10 with Keith Rabois, Craig Shapiro, Jason Levien, Tristan Walker, Brynn Putnam, and Deven Parekh — covering AI, sports investing, community-building, venture economics, and politics, with cocktails, food, and networking throughout the night.
Stripe said to abandon $50B pursuit of PayPal
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Your 3-Star Reviews Are Lying to You (and What I Built to Fix It)
A GenAI case study on customer sentiment, and the one bug that taught me more than the rest of the project combinedContinue reading on Medium »
Why Being "Average" is the Biggest Career Risk in the Age of AI
For decades, the formula for a secure life was simple: acquire average skills, get an average job, and enjoy a comfortable life. Being in Continue reading on Medium »
The GTA VI ‘extended look’ is now streaming on YouTube
Rockstar has officially published its "extended look" at Grand Theft Auto VI on YouTube and on its website, as promised. The in-depth preview, which "entirely" features footage captured from the PS5 version of the game, initially premiered on Netflix at 3PM ET. But because Rockstar allowed creators to post reaction videos, you've technically been able to watch the video on YouTube before the studio's official upload. The nearly 27-minute preview largely focuses more on atmosphere, protagonists Jason Duval and Lucia Caminos, and highlighting locations in the game instead of diving deep on specific game mechanics. It feels more like slices of … Read the full story at The Verge.
Terminal-Bench-Science: Evaluating AI agents on scientific research workflows
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