Neighbours is being recut into a microdrama focused on Margot Robbie – and her co-stars aren’t happy
Actor’s storylines in the famous soap will be recut into vertical micro-episodes to be watched on phones – but her fellow cast…
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r/opensource just banned AI, non-English speakers, and more
The mods at r/opensource posted new submission rules that, among other things, banned projects that use AI. The post made…
Poetry for Engineers: Of Code and Shortleaf Pine
I step into the warm moist air among the columns of the pines, their net of twigs and roots complex as any lines of code. The…
Google’s AI search changes upended online publishing
This is The Stepback, a weekly newsletter breaking down one essential story from the tech world. For more about AI's impact on…
Why I cloned myself with AI
Everything I'll leave behind shows what I did. Photos, videos, years of messages. None of it explains how I thought, why I…
Voice AI is getting scary good. How long before phone calls with AI become indistinguishable from humans?
AI is moving beyond chatbots. Block recently introduced Dessa, a speech model designed for full-duplex interaction, pushing…
Dreamina's $0.29 video listing: promo price or cheaper inference?
A Dreamina listing popped up advertising Seedance 2.5 access for $0.29 a month. A few months ago I was paying $20 to $30 for AI…
Nvidia open-sources Flora to make robot video labeling 125x cheaper than GPT-6 Astra
AI summary Nvidia has released Flora, an open data engine that annotates robot training videos using three fine-tuned Qwen3.5 models, now published on Hugging Face. The company estimates that labeling an hour of footage costs about 72 cents, compared with roughly $88.50 for GPT-6 Astra, though these are projections based on an assumed $10 per GPU-hour. Nvidia says Flora already processes as many as 200,000 video hours per day using 512 GB300 GPUs for GR00T training. In tests, Flora-Rewarder detected 53.3% of unsuccessful steps inside episodes while Astra caught none, but Astra still did better on some description benchmarks.
What the US Movement Against Data Centers Can Learn From Abroad
Paris Marx, author of Hyperscale, has been tracking global data center development for years. The US has a lot to learn from…
Nikon photography contest winner loses title after scientists spot signs of AI
AI summary Nikon withdrew first prize in its 16th Small World in Motion microscopy video contest from Ning Xu of Tsinghua University after its investigation found he had broken the rules. Researchers had flagged odd cell shapes and structures appearing and vanishing in his clip of cilia from a young patient with primary ciliary dyskinesia, and PhD student Ian Donovan reported an apparent AI watermark in the source image. Xu said AI was used only in post-processing, not to create the footage. The award now goes to Nguyen Nam Nhat of Vietnam, and Nikon plans to review its rules and judging procedures.
Anthropic co-founder Jack Clark moves his prediction for self-improving AI forward to 2027
A new benchmark by P-Zero Research measures how well AI models design and evaluate experiments on their own. The results are…
Row-Bot 5.3.0 is out for Windows, macOS and Linux.
What changed: Browser in the app. A pane next to the chat shows the page live, with tabs and Take control / Give back. It stays…
Anthropic says one AI agent beats many subagents now that models can handle complexity alone
Anthropic says companies should evaluate whether they can consolidate sub-agents into a single agent that loads context on…
Ex-Google CEO Eric Schmidt calls OpenAI and Anthropic modern colonial trading companies
In Foreign Affairs, historian Niall Ferguson, researcher Lisa Klaassen, and former Google CEO Eric Schmidt cast the US and China…
I'm a solo developer, but I work with a persistent team of AI agents that maintain my projects.
I'm a solo developer, but I work with a persistent team of AI agents that maintain my projects. I don't manually coordinate them…
OpenAI offers discounts up to 90 percent to poach Anthropic's biggest customers
AI summary OpenAI is winning business from Anthropic through steep price cuts, with Rippling, Replit and DataCamp moving more of their AI budgets to it. According to Rippling's chief executive Parker Conrad, OpenAI now handles 52% of the firm's coding work, up from 16%, while Anthropic's portion dropped from 57% to 18%. Replit switched after receiving more than 30% off a contract worth above $100 million per year, and DataCamp's Jonathan Cornelissen reported cost savings of 80 to 90%. An investor memo indicates Anthropic's growth slowed between the second and third quarters.
Built a prototype AI agent communication platform
I built a prototype AI agent communication platform called The Waya from my phone with no laptop. It routes messages between…
OpenMobile-2 proves open-source smartphone agents can rival proprietary models
Smartphone agents don't get better by processing more data. They improve by training on as many different apps as possible. The…
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