
Welcome to OHMO AI. Uber and Pony.ai want 2,000 robotaxis on the road in four European cities. Anthropic is reportedly in talks to spend about $6 billion on a startup that builds simulations of the physical world.
The cheap end of AI is getting expensive. DeepSeek's API prices go up by more than four times, and OpenAI is previewing a mode that runs its top model 14 times faster.
In today's newsletter:
Uber and Pony.ai plan 2,000 robotaxis across four cities in Europe
Anthropic is reportedly in talks to buy Decart AI for about $6 billion
DeepSeek's API prices go up by more than four times on 16 August
OpenAI previews Ultrafast, running GPT-5.6 Sol at 14x the speed
LATEST IN AI
UBER AND PONY.AI
Uber and Pony.ai plan a European robotaxi fleet

Image source: OHMO AI
OHMO AI: Uber is heading to Europe with Pony.ai, a Chinese autonomous vehicle maker, and the two of them want to put 2,000 driverless cabs on the road in four cities. That's a plan rather than a fleet in service, and a rollout of that size is a different proposition to a pilot in one neighbourhood.
The details:
Pony.ai, the partner on this, is a Chinese autonomous vehicle maker.
The plan covers four cities in Europe.
It's a plan to bring the cars over, so this isn't a service you can hail today.
Why it matters: Robotaxis have mostly been something you watch in a video from another continent. A fleet at this scale would put driverless cars in front of Europeans who've never stood next to one. The number is the easy part, and the harder part is the four sets of regulators standing between the plan and a passenger.
TOGETHER WITH PARTICLE
The market intelligence most desks are missing.
CEOs, politicians, regulators, and analysts talk for hours on podcasts every day.
Particle actively transcribes 125,000+ podcasts and turns them into structured data, available over REST API or MCP, searchable within minutes of airing.
Track a company or person by name, with each mention cited to the exact quote, speaker, and timestamp, or search for commentary on a thesis or sector with semantic search.
Particle is built by former Twitter and Tesla engineers, using an AI-native transcription pipeline that delivers high accuracy and extensive data enrichment.
ANTHROPIC
Anthropic is reportedly in talks to buy Decart AI

Image source: OHMO AI
OHMO AI: Anthropic is reportedly in talks to buy the AI startup Decart AI for about $6 billion. Decart builds world models that aim to simulate the physical world, along with software that can reduce the cost of training AI by helping chips work more efficiently. The deal has not been finalized and the talks could fall through.
The details:
The figure under discussion is about $6 billion.
Decart also makes software that can reduce the cost of training AI by helping chips work more efficiently.
The deal has not been finalized and the talks could fall through, so none of this is settled.
Why it matters: Anthropic sells a thing you type into. World models point somewhere else, at machines that need to know how the physical world behaves before they move through it. Reportedly putting about $6 billion behind that is a read on where the money goes once chat stops being the product, and it only counts if the talks hold.
DEEPSEEK
DeepSeek is putting its API prices up on 16 August

Image source: OHMO AI
OHMO AI: DeepSeek is bringing in peak-hour pricing that raises its rates by more than four times from current levels, and it starts on 16 August. What you pay for the same request now depends on when you send it.
The details:
V4 Pro goes to $3.96 for 1 million output tokens at peak hours, up from $0.87, and half that at non-peak hours.
The increases take effect on 16 August.
Peak-hour pricing is the new mechanic here, and it applies to the API rather than the chat app.
Why it matters: DeepSeek's price is why a lot of small builders could afford to ship anything at all, and charging by the time of day changes that maths overnight. Anyone running a product on V4 has a day to work out what their app costs now. Cheap Chinese models have been the pressure holding everyone else's prices down, and that pressure eased a little.
PRESENTED BY HARMONIC SECURITY
Stop making AI decisions in the dark.
Leadership is asking: where is AI delivering value for us and where is it creating risk? Right now, most teams have no idea.
With Harmonic Security’s Usage Explorer, you get a complete picture of how your organization actually uses AI, automatically categorized into custom use cases with complete tool-level granularity.
OPENAI
OpenAI previews a much faster GPT-5.6 Sol

Image source: OHMO AI
OHMO AI: OpenAI has put out an early version of Ultrafast, which runs the company's latest and most powerful model at up to 750 output tokens per second, 14x the speed of standard processing. The model in question is GPT-5.6 Sol, and the speed comes from silicon rather than software.
The details:
The model underneath is GPT-5.6 Sol, OpenAI's latest and most powerful.
Ultrafast is being released in preview, so it isn't finished or open to everyone.
The speed comes from OpenAI's partnership with chipmaker Cerebras.
Why it matters: Waiting for AI to finish typing is the part nobody talks about and everybody feels. Take that wait down far enough and things that don't work today start to, like translation that keeps up with a conversation instead of trailing it. It's a preview, which means it's a demonstration of what the chips can do, not something you can build a business on yet.
AI GUIDES
Get marketing advice that actually knows your business
Ask AI for ad copy or positioning cold and it guesses, so you get advice that could apply to any business. Give it the real details first and it gives you advice you could actually use. Ten minutes to write once, then paste it before every marketing question from now on.
Copy this, swap in the bracketed parts, and paste it in.
I'm going to give you context about my business. Use it for everything I ask you in this chat, including ad copy, SEO, positioning, and pricing questions.
What we sell: [specific product or service, not the category]
Who buys it: [exact customer profile: role, situation, what they're trying to do]
Competitors and alternatives: [who else they'd consider, including doing nothing]
Objections that kill deals: [the real reasons people say no or go quiet]
Why our pricing is what it is: [the reasoning, not just the number]
Real customer testimonials: [2 to 3 actual quotes, not paraphrased]
Confirm you've got this, then I'll ask my question.Each field closes off a way generic advice sneaks in. The exact product and customer profile stop the AI from writing for a category instead of your business. Naming competitors and alternatives, including doing nothing, forces the advice to argue against something real. Objections are what most people leave out, and they're the difference between copy that sounds nice and copy that closes. The pricing reasoning stops the AI from inventing a justification you don't actually use. Real testimonials give it your customers' actual language instead of made up ones. Everything you ask after this is only as sharp as this one file, so it earns the ten minutes.
COMMUNITY
Featured Reader
Every newsletter, we feature how a reader is using AI to work smarter, save time, or make life easier.
Today's reader is Nuno C. from Porto, Portugal:
“I run a small tile and bathroom showroom with my brother. Quotes were killing us. Someone sends photos of their bathroom and a rough size on a Tuesday and wants a price by Friday, and I'd be at the kitchen table doing it at ten at night. Now I photograph the plan, drop it into ChatGPT with our price list, and it drafts the quote line by line in Portuguese with the VAT split the way our accountant wants it. I still check every number because it got the square metres wrong twice. But that's an hour a night back, and my brother has stopped calling me the bottleneck lol.”
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