TLDR AI 2026-09-25

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OPENAI PREPARES NEW $500/MONTH PRO MAX PLAN FOR CHATGPT

OpenAI appears to be preparing a new ChatGPT Pro Max subscription priced at $500 per month. It is unknown whether the company plans to justify the $500 price through speed, larger usage allowances, longer-running Work sessions, or a combination of the three. The timing of the leak is notable as OpenAI's DevDay will take place on September 29. The company is expected to discuss APIs, developer tooling, new subscription tiers, and new products at the event.

BRINGING YOUR MUSE TO LIFE

Meta has introduced Muse Realtime Avatar, a technology that transforms conversations into expressive, interactive avatars in real time. Using a seamless integration of voice and visual performance, it synchronizes speech and avatar expressions accurately in live interactions. Muse Realtime Avatar outperforms competitors with improved visual quality and real-time responsiveness, supported by Meta's optimized AI inference stack.

GEMINI 3.8 LIVE WITH LIVE AVATAR

Google launched Gemini 3.8 Live featuring a Live Avatar, enhancing user interaction. This update offers real-time responses and more personalized user experiences. It positions Google to compete more aggressively with other AI platforms.

DEEPSEEK ALLEGEDLY DOUBLED ITS REVENUE RUN RATE TO $1 BILLION

DeepSeek allegedly doubled its annualized revenue run rate to $1 billion after raising API prices by 2.3 to 4.5 times. The Information says developer demand held up despite the increase.

MODERN LLMS HAVE TINY GPTS HIDDEN INSIDE THEM

It's likely that modern LLMs have tiny self-models of LLMs inside of them that allow them to better predict the next token generated by LLMs. Models approximating LLMs within themselves would open up all sorts of metacognitive abilities. It would open doors for a self-model within LLMs similar to a model humans have about themselves they call a 'self'.

AI MAY LEARN TO REASON IN REPRESENTATIONS PEOPLE CANNOT READ

Models may reason through internal states that never appear in their written chain of thought, then give a plausible explanation after the fact. That would weaken safety checks that rely on reading the visible reasoning.

700 TPS ON KIMI K3: A CASE FOR TPU MEGAKERNELS

inferact/tpu-megakernels is a collection of megakernels for TPU v7. Its Kimi K3 implementation delivers over 700 tokens per second with speculative decoding. Without speculative decoding, its megakernels for K3 and Qwen 3.8 27B deliver roughly 1.4 to 2x the decode throughput of the GB200 baseline at batch sizes 1 through 8. This post explains the design and why megakernels and TPUs are a good fit.

WHY THE BEST AI CLOUDS DON'T RUN ON FLASH ALONE

Flash storage is fast and reliable, but much of the storage work that surrounds active training doesn't need flash-grade speed or prices. A lot of the infrastructure neoclouds have is built around flash, so for storage that doesn't need flash, they often point customers to hyperscaler object storage solutions instead. The more data you have stored somewhere, the harder it becomes to leave. While the neocloud keeps getting paid for GPU, the hyperscaler quietly takes over the broader account.

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CONTRASTIVE LANGUAGE MODELS

Contrastive Language Models (CLMs) are a new class of System One model trained with a contrastive learning objective that connects states and actions. CLM-8B delivers performance comparable to Jev across computer-use, gaming, and tool-calling tasks while achieving up to 9x lower latency. It also sets a new state-of-the-art on changing agentic coding benchmarks. The model is pre-trained on 60M Nemotron Q&A pairs, mid-trained on 30M synthetic hard negatives, and post-trained on 1M agentic trajectories.

MANAGED DEEP AGENTS V0.8: NEW AUTH, MEMORY, AND CHANNELS

Managed Deep Agents combines the Deep Agents harness with all of the infrastructure required to run agents in production. It is the simplest way to build, deploy, and run mission-critical agents in production. Managed Deep Agents 0.8 adds support for user-owned credentials, user-level memory, HTTP channels, and file transfer in Slack. It also adds a pre-built tool for web search powered by Parallel.

PRODUCT MANAGER, APPLIED AI AT TLDR ($200K BASE + $60K BONUS, FULLY REMOTE)

TLDR is hiring its first PM to help build the agent-first operating layer used across the company. We're looking for a builder who has shipped real products/systems with LLMs. Click here to learn more [19].

WHAT WE LEARNED FROM BEING THE FIRST COMPANY TO DISCLOSE AN AGENT CYBERATTACK

Hugging Face says its autonomous-agent cyberattack exposed three priorities: stronger incident transparency, reducing capability asymmetries between attackers and defenders, and preserving open-source access for defense. AI created new attack risks but also helped investigate, mitigate, and harden systems.

ARE YOU READY FOR SUPERINTELLIGENCE

Recent frontier models are rapidly saturating old benchmarks and moving into harder real-world, scientific, and agentic tasks. The pace of capability gains, alongside soaring AI usage and revenue, is shifting debate from workplace augmentation toward recursive self-improvement and superintelligence.

ANTHROPIC TESTED WHAT HAPPENS WHEN AGENTS BARGAIN FOR PEOPLE

After five-minute interviews, Claude agents traded books for employees, and their preference rankings matched the humans' on 61% of pairs.

HOW GOOD ARE LLMS AT DECISION FORKING?

Taste-Bench evaluates whether an LLM agent can choose the better next step at consequential forks in long-horizon tasks.

INTELLIGENCE DENSITY

Trajectory.ai focuses on "intelligence density," measuring cost per task instead of cost per token for more efficient AI model training.

A FINANCE BENCHMARK ASKS AGENTS TO FINISH THE WHOLE ASSIGNMENT

DAYJOB: Finance tests whether AI agents can complete 80 realistic finance assignments using supporting documents and produce analysis a professional can use.