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Matthias Bastian

Matthias is the co-founder and publisher of THE DECODER, exploring how AI is fundamentally changing the relationship between humans and computers.

Waymo taps Google Deepmind's Genie 3 to simulate driving scenarios its cars have never seen

By combining Waymo’s real-world driving data with Deepmind’s Genie 3, Alphabet is showing the kind of AI leverage that few companies can match: using one subsidiary’s world model to supercharge another’s autonomous driving simulations.

Read full article about: Sam Altman predicts AI agents will integrate any service they want, with or without official APIs

"Every company is an API company now, whether they want to be or not," says OpenAI CEO Sam Altman, repeating a phrase that's stuck with him recently. Altman made the comment while discussing how generative AI could reshape traditional software business models.

AI agents will soon write their own code to access services even without an official API, Altman believes. If that happens, companies won't have a say in joining this new "platform shift." They'll simply be integrated, and the traditional user interface will lose value.

Some SaaS companies will remain highly valuable by leveraging AI for themselves, according to Altman. Others are just a "thinner layer" and won't survive the shift. Established players with strong core systems who use AI strategically are best positioned, he says.

Recent advances in AI agents and tools like Cowork have already driven down valuations for some software companies. The thinking: AI will handle more tasks directly, making niche solutions unnecessary.

Read full article about: OpenAI's new coding model GPT-5.3-Codex helped build itself during training and deployment

OpenAI has released GPT-5.3-Codex, its latest coding model. The company says it combines GPT-5.2-Codex's coding capabilities with GPT-5.2's reasoning and knowledge, while running 25 percent faster. Most notably, on Terminal-Bench 2.0 it beats the just-released Opus 4.6 by 12 percentage points—a significant gap by current AI standards—while using fewer tokens than its predecessors. On OSWorld, an agentic computer-use benchmark, it scores 64.7 percent versus 38.2 percent for GPT-5.2-Codex. On GDPval, OpenAI's benchmark for knowledge-work tasks across 44 occupations, it matches GPT-5.2.

OpenAI

OpenAI also claims the model played a role in its own development, with the team using early versions to find bugs during training, manage deployment, and evaluate results. The company says the team was "blown away by how much Codex was able to accelerate its own development."

GPT-5.3-Codex is now available to paying ChatGPT users in the Codex app, CLI, IDE extension, and on the web. API access will follow. OpenAI has classified the model as its first with a "High" cybersecurity risk rating, though the company says this is precautionary, as there's no definitive proof such a classification is necessary.

OpenAI's Frontier gives AI agents employee-like identities, shared context, and enterprise permissions

OpenAI’s new Frontier platform gives AI agents in companies their own identities, shared context, and the ability to learn from experience. The software launches first with selected enterprise customers.

Read full article about: Cerebras closes $1 billion funding round at $23 billion valuation after landing OpenAI deal

AI chip startup Cerebras Systems has closed a financing round of over one billion dollars. The funding values the company at around 23 billion dollars, according to a press release. Tiger Global led the round, with Benchmark, Fidelity, AMD, Coatue, and other investors participating.

Cerebras, based in Sunnyvale, California, builds specialized AI chips for fast inference - the speed at which AI models generate responses. The company's approach uses an entire wafer as a single chip, called the "Wafer Scale Engine" (WSE). Its current flagship is the WSE-3.

The recently announced deal with OpenAI, worth over ten billion dollars, likely helped attract investors. The AI lab plans to acquire 750 megawatts of computing capacity for ChatGPT over three years to speed up response times for its reasoning and code models. OpenAI is reportedly unhappy with Nvidia's inference speeds. Sam Altman recently promised "dramatically faster" responses when discussing the Codex code model—a promise likely tied to the Cerebras deal.

Read full article about: Chinese AI video model Kling 3.0 takes another step toward usable creative assets

Chinese company Kling has released video model 3.0. The new model is described as an "all-in-one creative engine" for multimodal creation. Key features include improved consistency for characters and elements, video production with 15-second clips and better control, and customizable multi-shot recording. Audio features now support multiple character references along with additional languages and accents. For image generation, Kling 3.0 offers 4K output, a new continuous shooting mode, and what the company calls "more cinematic visuals."

Ultra subscribers get exclusive early access through the Kling AI website. Official details on a general release, API access, or technical documentation aren't available yet. The Kling team published a paper on the Kling Omni models in December 2025. The YouTube channel "Theoretically Media" got early access and published a detailed first impression video. According to the channel, the model should roll out to other subscription levels within a week.