Microsoft’s Decision-1 scores a fixed set of answers instead of writing text, at $0.042 per million input tokens, while Google’s new Gemini thinking levels let users and developers dial reasoning effort to Low, Medium or High. We explain both launches, check Microsoft’s benchmark claims against H2O.ai’s objections and an earlier version of its own blog post, and work through what each option costs.
We instinctively treat chatbots and robots like people, saying please, trusting their tone and sometimes growing attached. Drawing on TechCrunch’s reporting, Sherry Turkle’s new book Artificial Intimacy and MIT research, we explain why anthropomorphism is so hard to switch off, what the data on politeness and dependence shows, where the law now draws lines, and how businesses should design chatbots that do not exploit it.
Edinburgh start-up Danu Robotics has raised $5 million to bring H.E.R.O., a pincer-claw recycling robot with self-improving AI, to sorting sites. We explain how it works, work out the payback on Danu’s own figures, compare its speed and funding with AMP, Glacier and Recycleye, and look at the UK and EU rules driving demand.
Anthropic has opened dynamic workflows in Claude Managed Agents as a public beta, a new type of multiagent orchestration in which one agent writes a plan that runs across up to 1,000 agents. We explain how it works, how to switch it on, the limits behind the headline, a worked token bill for a 300-contract job and the safety checks to make first.
Pine AI has launched Pine Computer, a cloud computer built for AI agents that reads web pages as structure instead of screenshots. We explain how it works, what the SDK does, and read the SaaS-Bench v1.1 results in full: the top checkpoint score, the lower finish rate, cost per finished task and the reruns behind the numbers.
NTU Singapore’s LACE framework turns a plain-language description of a scheduling or routing problem into a tested portfolio of optimisation algorithms in about an hour. We explain its two stages, the benchmark results against FunSearch, EoH and Gurobi, and use the team’s published figure data to check the hour and $10 claims across four AI models, then set out who could use it and its limits.
A Yale study of 26,000 GPT evaluations found that the model rarely ranked women or Black founders last but never made them more likely to win, and corrected openly biased human judgements far more than bias disguised as business sense. We explain both experiments, what symbolic compliance is, how it fits other AI hiring bias research, why a median-based bias audit can miss it, and the tests employers and investors should run.
Andreessen Horowitz partner Olivia Moore says almost all consumer AI is really prosumer AI. We break down her TechCrunch interview and a16z’s seventh Top 100 Gen AI Consumer Apps report: the new spending data, why the top 1% of payers average $903 a month, how subscriptions crowd out ads and transaction fees, what ChatGPT’s ad revenue and Instinct’s volume imply, and which consumer categories AI has still not reached.
InfoWorld’s David Linthicum argues that neocloud providers are the fastest-growing cloud category on record but are failing to explain themselves to enterprise architects. We check the Synergy and ABI Research numbers behind the claim, read CoreWeave’s latest quarter for evidence of enterprise demand, map where GPU clouds fit beside hyperscalers and MSPs, and give buyers a risk register and an evaluation checklist.
Sabi has raised a $50 million seed round led by Khosla Ventures for the Sabi Cap, a non-invasive baseball cap that reads brain signals through hair and says it can already predict a wearer’s next three to four keystrokes. We explain the custom EEG chip and Brain Foundation Model, test what keystroke prediction really proves, compare the cap with Meta’s Brain2Qwerty and implanted BCIs, track how the plan changed since April, and set out the neural data privacy questions to ask.
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