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Humanoid robots still struggle to perform as efficiently as humans in most labor scenarios.
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Some other big differences:
- Connect any provider, sub, or model - Use it completely free on your own machine or with one of the several free models on Nous Portal - Switch between bots mode and classic sessions mode - Self-improving agents that learn to execute tasks cheaper
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From
techcrunch
AI-native account startup Rillet became a unicorn, led by Iconiq, after it doubled its ARR in the past three months, it said.
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From
github
Simulate Before Reality. . Contribute to MatrAIx-ai/MatrAIx-Persona-8B development by creating an account on GitHub.
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Insider Brief Fort Robotics plans to go public through a merger with Newbury Street II Acquisition Corp. in a deal valuing the robotics safety company at
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Nebius is raising $4.5bn in convertible bonds to fund AI data centres, its second such sale of 2026. Bloomberg says the offering prices on Wednesday.
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Construction of the QAZBOT complex has begun in Astana. It is set to become Kazakhstan’s first facility for the production of humanoid robots and the development of artificial intelligence solutions. Investment in the first phase of the project alone is estimated at around $200 million, Atameken...
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From
thenextweb
London’s Prevalent AI has taken $22m from Integrity Growth Partners, its first primary capital in nine years, to expand into the US.
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![[2608.18524] DART-SD: Diamond-topology Aware Retrieval and Tuning for Self-Distillation of Multi-Turn Tool-Calling Agents | AI News | Scoop.it](https://img.scoop.it/R3Nf-aV-zFCPDr3s1jV_-zl72eJkfbmt4t8yenImKBVvK0kTmF0xjctABnaLJIm9)
From
arxiv
Abstract page for arXiv paper 2608.18524: DART-SD: Diamond-topology Aware Retrieval and Tuning for Self-Distillation of Multi-Turn Tool-Calling Agents...
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From
arxiv
Abstract page for arXiv paper 2608.19072: What is Missing from AI Post-Training AI: An Empirical Analysis...
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From
x
Many drugs work by binding to a specific target in the body and blocking or changing what it does. An important first step in the drug development process is designing a molecule that can bind tightly to its target.
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From
x
Brex’s summer benchmark shows how quickly the infrastructure behind the agent economy is growing.
14 of the 25 fastest-growing software vendors serve teams building AI products, and Together AI ranks first on the list.
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proud that @vibhuuuus and i did the most recent pod with @eisokant on why NVIDIA just paid him $6B to buy the incredible model factory that is pumping out Thinky-beating models (actually not exaggeration, look at the numbers)
tune in / subscribe / whatever
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From
thenextweb
Medly AI has raised an $8m seed led by Felix Capital, weeks after winning a £300,000 UK government contract to test AI tutoring on pupils falling behind.
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From
github
Rove — the agent multiplexer for your terminal. Run coding agents on parallel tasks with isolated worktrees and persistent sessions. - Sma1lboy/rove
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From
techcrunch
The launch of the new study features marks Google's latest effort to make Gemini the AI assistant that students turn to when learning and studying, as it continues to compete with companies like OpenAI.
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From
nypost
Chinese robot makers showed off humanoids sorting parcels, packing mobile phones and helping with household chores at a Beijing conference on Wednesday, seeking to demonstrate a shift from crowd-pleasing displays to broader commercial use.
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Temporal is in talks to raise about $500mn at a $12bn valuation, Bloomberg says, double what the reliability software startup was worth in February.
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Double the Performance with Double the Power
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From
www
What do the events at the World Humanoid Games tell us about the state of humanoid robots? Plenty ... including a market map of where they'll be commercialized first.
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From
arxiv
Abstract page for arXiv paper 2608.18631: Preference Reasoning under Indeterminacy in Large Language Models...
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From
arxiv
Abstract page for arXiv paper 2608.19013: Harness Continual Learning: Continual Adaptation Beyond Model Parameters...
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- Tensor shapes: click any module and the inspector shows its traced input/output (e.g. [1 batch × 7 seq × 4096 hidden], the labels come from matching dim values against config) plus its weight shapes ([151936 vocab × 4096 hidden]). The flow-replay HUD shows the shape transformation at each step. - Per-layer parameter counts: every node shows its param count and share of the model, there's a treemap of children by params, and a "cost" lens that switches the whole map to compute (MACs), activation memory, or KV cache — with sequence length as a slider.
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From
openai
OpenAI is strengthening monitoring, alignment, and security for frontier AI models. See how new safeguards are guiding the pace of model development.
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