Ben from the Future (@agileben) header
Ben from the Future (@agileben) profile picture

Founder of Freshwater Futures | CX Voice Agent Platform | AI Exec Education → AI Strategy → Prototyping → Implementation

Melbourne, Australia
Joined October 2009
Photo by Ben from the Future (@agileben)Photo by Ben from the Future (@agileben)Photo by Ben from the Future (@agileben)Photo by Ben from the Future (@agileben)Photo by Ben from the Future (@agileben)Photo by Ben from the Future (@agileben)Photo by Ben from the Future (@agileben)Photo by Ben from the Future (@agileben)Photo by Ben from the Future (@agileben)Photo by Ben from the Future (@agileben)
Look out world.. here we come 😅 I'm thrilled (and a little nervous) to introduce my latest venture: 🔥 Freshwater Futures Pty Ltd 🔥 For the full backstory on why after 15 years as AgileBen I’ve decided to start something new check out the link in comments.
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Seems like a bad day for @Railway to break deployments? I’ve had to shut down some services that need patching
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1. Wtf Genius
Replying to @_chenglou
What happens in we unfreeze some of these weights and actually train them? Well you can apply existing neural net techniques to it, losses and backprops and all, and now the UI becomes a bit more “learned” Here’s a photo gallery where on the left I edit the rectangles and the right side gives me a new view where the photos learn to align themselves, training in real time as you drag (because the param count is so tiny). This demo done fully in JavaScript, with JS looping through them numbers and backpropping. Stupid but fun! I’ve exposed the loss param slider you can play around with
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Ben from the Future retweeted
Claude Sonnet 5.5 is available everywhere today; Claude Haiku 5.5 will join the family in the coming weeks. Read more: anthropic.com/claude-sonnet-…
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Ben from the Future retweeted
Get a free VM from your terminal or from @muse. Zero sign-up. One command. ssh railway.new
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Omg, I’ve been waiting for this!
We heard you loud and clear. ChatGPT Voice can now: - Use plugins like your email, calendar, and Slack. - Be powered by GPT-6 Astra, Sol, and Luna. - Be used in ChatGPT Work on web and mobile, so you can create docs, decks, sites, and spreadsheets or tackle complex tasks in the browser, just by talking. Rolling out globally today in the latest version of the app.
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Ben from the Future retweeted
One of the craziest use cases I’ve found for Jev: verifiers. I am so excited about this that I at least wanted to share the high-level idea. I used Jev to build a custom verifier for the /goal feature in my agent harness. It checks whether the goal is actually complete after every turn, making continuous verification cheap enough to scale. This means I can run more of these verifiers (previously handled by another expensive reasoning model) more frequently to keep the agents on track. System One models are perfect for verification. I think of this as scaling harnesses further by cleverly combining System One and System Two models. I have a feeling this will enable a new wave of scalable test-time compute methods. Watch this space closely. I've just started to experiment with this and am already seeing really good results. I need to explore and figure out a way to benchmark it. I will share more once I have more results. This is an insane unlock for long-horizon agents. You heard it here first. And you can expect to see more harnesses embracing this new pattern. Full guide dropping in the next couple of days.
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Ben from the Future retweeted
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution
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Woohoo!
GPT-Live-1 is now available in the API. Bring ChatGPT’s natural back-and-forth to your app, with voice agents that listen while they speak and work with the models and harness you choose.
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Ben from the Future retweeted
🚀 Introducing DeepSeek-V4.1-Flash: smarter, faster, more efficient. 🔹 Introducing the smallest model in our new architecture family, with native visual understanding. 🔹 Designed for greater capability, faster inference, higher throughput, and scaling to larger models. 1/6
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Ben from the Future retweeted
Can’t make this up…the MacBook is using its webcam to look at its screen in a mirror to improve AMD Radeon chip support in Omarchy.
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Oh god this is awful.
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Ben from the Future retweeted
ChatGPT Images 2.5—faster, sharper, smarter, with better tools for creating whatever you can dream of. - Faster image generation to keep your ideas flowing - Improved fidelity for more natural, recognizable images - Consistent details across multiple edits - Comment-based edits to change only what you want
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Ouch
Replying to @OpenAI
GPT-6 Astra is state-of-the-art on FrontierMath Tier 4, ARC-AGI 3, and TerminalBench-4.0. GPT‑6 Astra is also a major advance for scientific discovery, with state-of-the-art performance on Terminal-Bench Science 0.1 and HealthBench Pro.
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This is a huge win for OpenAI, now small business can economically give access to Codex and Work to their teams, reduces “enterprise” costs from $1000s to $100
Introducing ChatGPT Business Premium Seats The new $100 Premium seat is a game changer for small businesses and startups—giving lean teams better tools, faster workflows, and capabilities once reserved for big companies. A flexible plan that scales with your team’s ambition. chatgpt.com/pricing/?type=te…
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This is a really good pragmatic article on evals, you can see the influence of @HamelHusain and @sh_reya
Before you write good evals, you have to pick the right things to evaluate. Main take-aways: - source metrics from failures you see in traces - keep the set small and maintainable - only keep a metric if you'd take action when it moves
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Hey @every and @danshipper noticed that custom @usemonologue modes don’t appear in the keyboard? Or for notes? Also it would be cool to be able to “retry” (reprocess) a dictation with a different mode to get a different output format.
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Wow long running 5g outage in Melbourne this morning with @Telstra seems very rare thankfully but unsettling
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Ben from the Future retweeted
Build a plugin once and use it across compatible agent clients. Introducing Agent Plugins, an open standard developed with @awsdevelopers, @cursor_ai, @github, @code, and @vercel that packages Agent Skills and supports MCP server configurations in a shared format.
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Ben from the Future retweeted
Introducing Kitesurf: a browser built for agents, running entirely on Cloudflare Workers. Chromium is too heavy to hand every agent one. Kitesurf is written in Rust, uses 3-7x less CPU and memory, and spins up per request. Free in beta: blog.cloudflare.com/kitesurf…
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I was just thinking I needed to build this yesterday! Great timing
HTML is winning the AI output format battle, but editing HTML sucks. So we built a fun little tool to fix that. colliber.com/artifactor
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