Countdown to GPT-5: Millions of Contexts and "Lobster" Programming Models Leaked, Microsoft Copilot Has Preempted the Layout

Recently, there has been a lot of talk about OpenAI's next-generation flagship model GPT-5 The rumors are popping up intensively in major tech communities and social media. From ChatGPT Client to macOS Application list, and then to the Cursor Microsoft corporation Copilot and other third-party platforms.GPT-5 The trail seems to be everywhere, rekindling market expectations.

This highly coordinated series of "leaks" has sparked widespread discussion. Even academics who have long been critical of large-scale language modeling Gary Marcus It has also been publicly stated thatGPT-5 may actually be coming. All indications are thatGPT-5 The release may not only be a technical iteration, but also a well-planned marketing move.

Anecdotal model iterations and technical highlights

According to the information currently circulatingGPT-5 may no longer be a single model, but a family of models containing multiple versions designed to harmonize the OpenAI Previous capabilities in multimodal interaction (GPT-4o) and advanced reasoning (o-series). Users may not need to manually switch between models in the future.

Leaked model codes include:

• GPT-5 Master Model (code name "nectarine" or "o3-alpha")
• GPT-5 mini (Code name "lobster")
• GPT-5 nano (Code name "starfish")

Its potential technical highlights are striking:

• Context window: Input support up to 1 million tokensOutput up to 100,000 tokensThe
• Protocols and Tool Calls: be in favor of MCP (Model Context Protocol) with parallel tool invocations, which may mean that the model can more efficiently understand and maintain the context of long conversations and execute multiple complex instructions simultaneously.
• Dynamic reasoning: Ability to dynamically handle short- and long-duration reasoning tasks with deep integration Code Interpreter and other existing tools.
• Performance Enhancement: Compared to its predecessor, theGPT-5 It is expected to achieve overall improvements in speed, reliability, hallucination suppression, long-term memory and logical processing.

In terms of specific capabilities, "o3-alpha" is said to excel at advanced programming tasks, generating high-quality game prototypes and refining the code to meet specific needs, and is considered to be close to the level of human programmers.

Meanwhile, the codenamed "Lobster" mini version is said to be a specialized programming model that is purported to be superior to the Claude 4 and other competing products. The model is capable of quickly generating well-structured code with very little input, and is particularly well suited for refactoring and optimizing messy legacy code. In a comparison test, theLobster Successfully generated a runnable interactive neural network animation at once, while the other model erred in its execution.

In addition.Lobster It is also known to have integrated o3 The advanced reasoning capability of the series enables multimodal understanding and multistep task execution, and can fuse multiple operations such as interpreting images, writing code and using tools to become a more powerful and comprehensive work assistant.

Codenamed "starfish," nano version, has also recently appeared in the Big Model Arena for testing, which has shown that it is currently capable of generating static mini-game interfaces.

Hints of ecosystem integration

In addition to the model itself, theGPT-5 Signs of integration with major platforms are also becoming more evident.

Microsoft has been revealed to be internally testing a new version of Copilot The "Smart mode" (or "magic mode"). This mode can intelligently determine user needs and automatically invoke the GPT-5 of deep reasoning and multimodal capabilities to simplify user operations. This suggests that Microsoft is highly likely to GPT-5 The first time it was released, it was deeply integrated into the Copilot up to Microsoft 365 In Ecology.

At the same time, focusing on AI supercoded Cursor team, was also spotted testing internally GPT-5 Alpha version, which foreshadows the GPT-5 Powerful programming capabilities will soon be available to the developer ecosystem.

Market buzz and experts' sober scrutiny

(go ahead and do it) without hesitating GPT-5 The leaks were shocking enough, but the market and experts reacted more calmly and cautiously than ever before. After many previous "crying wolf" teasers, users have been more cautious about the OpenAI The marketing strategy has become somewhat tired.

It has been argued that new models may perform spectacularly in the early stages of release, but soon weaken their capabilities and ultimately lead to a degradation of the user experience for reasons such as security alignment (Alignment), a pattern that has played out many times in the past.

Professor Emeritus at New York University and a leading critic of AI Gary Marcus Seven pessimistic predictions were issued in response, injecting sober reflection into the market:

1. controllability::GPT-5 will still be difficult to fully control and will make unforeseen low-level mistakes.
2. reasoning ability: The model still struggles to handle complex physical, psychological and mathematical reasoning.
3. The problem of hallucinations: The phenomenon of hallucinations will continue and may even be more misleading as their output becomes more persuasive.
4. Reliability of natural language: Natural language instructions still cannot be reliably mapped to downstream systems such as databases or virtual assistants.
5. gap AGI still far away::GPT-5 It won't be generalized artificial intelligence (AGI) and will still rely on other tools to accomplish complex tasks.
6. Values alignment: The system is not able to follow human values consistently and the output may be implicitly biased.
7. Technology Path::GPT-5 is still based on the product of Scaling, and the path to the AGI pathways require more structured knowledge and planning skills, which are current GPT What the series lacks.

The community is filled with similar views. Many users say that the OpenAI They were skeptical of all the leaks and benchmarks before the official release. After all, the repeated warm-ups have already consumed a lot of market enthusiasm.