Sunday, June 28, 2026

Among today's pile of signals, there are actually two lines that are really worth engineers 'time to see. One is the DSpark inference acceleration framework developed by DeepSeek, and the other is that the implementation of AI in the physical world and content production is accelerating, but the water content is also skyrocketing simultaneously. Just listen to the rest of the group and Apple lobbying as the background.

Let's start with DSpark. This thing is essentially a speculative decoding framework. To put it bluntly, it means that the large model does not jump word by word when generating text. Instead, the small model is used to quickly draft a few candidate words, and the large model is then verified in parallel. Official data says that the speed of single-user generation has been increased by 60% to 85% on DeepSeek-V4. If this number is measured in a real high-concurrency scenario and is not an ideal laboratory environment, it will indeed be something. In engineering, it is speculated that the biggest pitfalls in decoding have never been single-card runs, but memory bandwidth and scheduling overhead. If you engage in multi-level speculation, the management complexity of KV Cache will explode directly, and poor scheduling will slow down the overall throughput. However, they dare to open source frameworks and training plans, which means that engineering has at least passed the passing line, not using papers to brush the rankings. For ordinary developers, this means that the threshold for running large models locally has dropped again, especially those teams that deploy models on edge devices. They should read their papers and open source code immediately before waiting for others to chew them. Feed you.

The other line is more interesting. You can string several signals together and see: Daxiao robot dog conducts 7x24-hour unmanned patrols on the west coast of Shanghai, G7 Easy Stream releases wearable AI hardware for the freight industry, the No. 1 model on Hugging Face is something called Unlimited OCR, and there is also an open source project OpenMontage that claims to turn AI assistants directly into video studios. These things put together tell a story: AI is climbing out of chat boxes and APIs, running into the physical world, and drilling into the professional tool chain. With robot dogs and autonomous navigation in an open environment, the technical difficulty is not the AI itself, but the reliability and bottom-up mechanism. If you let the robot dog run in a closed park, throw it on an open street. If you encounter drunk people, a battery car that suddenly pops out, or a rainy day, if you fail to handle any Corner Case properly, it is a safety accident. The product Pai Dou is more pragmatic. It solves the problem of the last meter of logistics delivery. The driver gets off the bus to take photos and upload it. The 30-gram magnetic attraction device has simple logic and clear scenes. This product is better than those universal humanoid robots that blow the sky. It is easier to survive.

But don't just watch the excitement. The news that AI faked is the hidden secret line. During the World Cup, AI forged images of beautiful women crying and political humiliation, and these content is flooding into a traffic business. Production tools there are open source, projects like OpenMontage have pushed the threshold for video production to the ground, and an image generation model like Krea 2 is also accelerating iteration. The tools are getting stronger and stronger, but the governance of the content ecosystem has hardly kept up. Technology has always been neutral, but the direction of water flow depends on who is using the water. Now it looks at it, the sediment in the downstream reaches is so much that it is almost blocking the river.

When DeepSeek used the DSpark framework to increase reasoning speed by nearly 80% and open source, it was not only a technological breakthrough, but also a clear signal that the AI industry was transforming from an arms race for computing power to engineering and cost-cutting. Combined with the G7 Easy Flow's making AI into 30 grams of cargo wearable hardware and the regular patrols of robot dogs, the competition focus of large models has completely sunk. The winners in the next stage are the doers who squeeze AI into the capillaries of the physical world and allow companies to save every deduction electricity bill. AI is fading away and becoming the underlying infrastructure of per-drop pricing.

In contrast to the pragmatic sinking of the software layer is the gravitational return encountered by the hardware supply chain. Apple's product price increases due to the rise in memory prices, and its market value has evaporated by more than 200 billion US dollars in a single day. It even lobbied the government to allow Changxin's storage purchases. This reveals the cold reality: the innovation dividend of front-end software can no longer conceal the lethality of fluctuations in underlying hardware costs. When macro geopolitics and micro profit statements collide, costs will force giants to compromise. In the coming year, mastering the independent supply chain of underlying hardware and ultimate cost control will be more decisive than any fancy AI function.

On the back side of the game between technology mania and supply chains, we are paying a huge trust tax. The proliferation of AI fake videos in the World Cup and the bean buns watermarks in top-issue papers are just the tip of the iceberg of the ecology out of control. When generative AI makes seeing is believing completely bankrupt, we will face a serious crisis of trust. In an era where zero cost creates false emotions, authenticity will become the most expensive and scarce resource. A platform that can provide endorsement of trust and establish a moat of content traceability will reap the huge premium brought by the trust deficit.

DeepSeek has just raised 50 billion yuan in financing and open-source the DSpark inference acceleration framework, increasing the speed of single-user generation by 85%. OpenAI has also released a limited preview of GPT-5.6. On the surface, it looks like the technical rage of gods fighting, but if you look closely at the background of these actions, you will find it all about anxiety about computing power. GPT-5.6 engages in limited previews because it is not hunger marketing, but because reasoning costs cannot be covered. DSpark engages in speculative decoding, and even developers use GitHub to optimize the PSI of KV cache and index the code base to cut down the token consumption by 99%. This shows that the big model has come to this day, and everyone is not fighting for the ceiling of the model, but how to save the electricity bill of a few cents.

More interestingly, Apple would rather let MacBook and iPad prices evaporate more than $200 billion in a single day because memory chips are too expensive, but also to lobby the U.S. government to buy Changxin stored goods. AI's computing black hole is sucking up the entire hardware supply chain, the wall of computing costs has hit, but capital is still pretending to sleep. Kingboard Group's share price rose 3.5 times in half a year because of copper clad laminate. How long can this upstream carnival last? Once the dividends of large-scale model reasoning optimization are exhausted, overcapacity in computing infrastructure will backfire.

Look at the scene of landing again, there are chicken feathers all over the ground. Daxiao robot dog conducts autonomous patrols in Shanghai seven by twenty-four hours a day. G7 Easy Flow issues logistics drivers a 30-gram peat-bean record delivery. It sounds like unique intelligence and industry AI are making great progress. But what about the other side? The illustrations of Lanzhou University's thesis have the watermark of bean buns, and the tears of beautiful women whose AI faked in the World Cup have become a traffic business. The speed of technology decentralization far exceeds governance capabilities, and academia and content ecosystems are paying for the abuse of AI. When model capabilities approach the threshold, the real game is no longer who runs fast, but who can keep the cost to survive and who can establish order in the quagmire of fake data and fake images. Don't be deceived by the financing amount and hot searches, this round of elimination rounds has just begun.