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Tuesday

  4. SiliconANGLE

    AI work assistant startup Town raises $108 million, reaching a $1 billion valuation to join the unicorn ranks

    AI work assistant startup Town has raised a $108 million Series B at a $1 billion valuation, bringing its total funding to $160 million. Town was co-founded by former Plaid CTO Jean-Denis Greze and launched its AI assistant called townies in June, with annualized revenue reaching several million dollars within weeks. Each employee is equipped with a Townie that can connect to systems such as email and calendars and share information with other Townies, and enterprises can retain these context assets.

    AI work assistant startup Town has raised a $108 million Series B at a $1 billion valuation, bringing its total funding to $160 million. Town was co-founded by former Plaid CTO Jean-Denis Greze and launched its AI assistant called townies in June, with annualized revenue reaching several million dollars within weeks. Each employee is equipped with a Townie that can connect to systems such as email and calendars and share information with other Townies, and enterprises can retain these context as

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    #hot-signal#Industry news#Agents
  6. AI Business

    Neura Robotics unveils Neuron AI robot foundation model, fusing vision, touch and audio

    Germany's Neura Robotics has released Neuron AI, a robot foundation model that adds tactile and force data, audio, robot state and language on top of 3D vision, and features memory that can retain information after an object leaves the field of view. Neura plans to demonstrate it later this week at Nvidia GTC Berlin, with the humanoid robot 4NE1 completing an eleven-minute garment-handling process. The company has not disclosed the extent to which the additional sensory inputs affect performance, nor the amount of data required for training; an Interact Analysis analyst questioned whether its robot training facility can collect enough multimodal data.

    Germany's Neura Robotics has released Neuron AI, a robot foundation model that adds tactile and force data, audio, robot state and language on top of 3D vision, and features memory that can retain information after an object leaves the field of view. Neura plans to demonstrate it later this week at Nvidia GTC Berlin, with the humanoid robot 4NE1 completing an eleven-minute garment-handling process. The company has not disclosed the extent to which the additional sensory inputs affect performance

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    #hot-signal#Model releases#Multimodal#Embodied AI

Saturday

  3. ChinaTalk

    Why DUV Controls Hold Up: Saif Khan on the U.S.-China AI Chip Rivalry

    Saif Khan, a former U.S. National Security Council and Commerce Department official, predicts in a new DUV report from the new think tank CTS that if exports of the relevant equipment stopped now, by the mid-2030s China could produce roughly 100 times fewer AI chips than the United States, making DUV controls the most critical lever for the United States to shape the AI balance of power. In a ChinaTalk interview, he also discussed how robotics will become the next frontier in U.S.-China AI competition, and how AI is changing policy research itself.

    Saif Khan, a former U.S. National Security Council and Commerce Department official, predicts in a new DUV report from the new think tank CTS that if exports of the relevant equipment stopped now, by the mid-2030s China could produce roughly 100 times fewer AI chips than the United States, making DUV controls the most critical lever for the United States to shape the AI balance of power. In a ChinaTalk interview, he also discussed how robotics will become the next frontier in U.S.-China AI compe

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    #analysis#English text is being prepared.#Industry news

Monday

  1. MarkTechPost

    TinyFish Makes Search Free: Breaking Down the Real Cost of AI Agents Reading Web Pages

    TinyFish announced that, within limits, it will waive retrieval fees for Search and Fetch: Search is limited to 30 requests per minute and 500 per hour, while Fetch is limited to 150 URLs per minute and 1,000 per day. The article notes that free retrieval does not eliminate the inference costs of downstream models; the same article of about 4,300 characters returns an estimated 1,184 to 42,774 tokens across different providers, and three pages of unfiltered content can fill a 128K context window. In the September 28, 2026 Artificial Analysis snapshot, TinyFish Search scored 71 at $9.30 per 1,000 tasks, the lowest total cost among the displayed configurations but also the lowest score, with about 59 seconds per task.

    TinyFish announced that, within limits, it will waive retrieval fees for Search and Fetch: Search is limited to 30 requests per minute and 500 per hour, while Fetch is limited to 150 URLs per minute and 1,000 per day. The article notes that free retrieval does not eliminate the inference costs of downstream models; the same article of about 4,300 characters returns an estimated 1,184 to 42,774 tokens across different providers, and three pages of unfiltered content can fill a 128K context window

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    #ai-vertical#Product updates#Search#English text is being prepared.

Sunday

  3. The Decoder

    Microsoft and CityU Hong Kong propose Taste-Bench to evaluate AI agents' long-term decision-making capabilities

    Researchers from Microsoft and City University of Hong Kong propose Taste-Bench, using 502 binary-choice questions to evaluate AI agents' ability to make long-term decisions in long-horizon tasks. The best-performing model, GPT-5.6 Sol, achieves only 59.7% average accuracy, while GPT-5.5 reaches 59.5%. When key clues only become apparent after substantial subsequent work, the average accuracy of all models drops to 21%, close to random guessing, and increasing the reasoning budget brings almost no improvement. The researchers also distilled the teacher model's judgments using Qwen3.6-27B as the base model; the student's accuracy on unseen tasks rose from 30% to 47.9%, and its success rate on 41 SWE-bench Pro tasks increased from 14.6% to 33.7%.

    Researchers from Microsoft and City University of Hong Kong propose Taste-Bench, using 502 binary-choice questions to evaluate AI agents' ability to make long-term decisions in long-horizon tasks. The best-performing model, GPT-5.6 Sol, achieves only 59.7% average accuracy, while GPT-5.5 reaches 59.5%. When key clues only become apparent after substantial subsequent work, the average accuracy of all models drops to 21%, close to random guessing, and increasing the reasoning budget brings almost

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    #ai-vertical#Papers/Research#Evaluations / benchmarks#Agents