They worked on asteroid deflection missions. Nuclear weapons components. Plasma fusion that could change the world's energy supply. Anti-gravity propulsion. And one by one, since 2022, they have vanished or turned up dead — leaving behind phones, wallets, glasses, and more questions than anyone in Washington wants to answer. As of April 2026, at least 11 individuals connected to America's most sensitive nuclear and aerospace programs are dead or missing. The FBI has now confirmed it is leading a coordinated investigation. The House Oversight Committee has demanded briefings from NASA, the Department of Energy, the Pentagon, and the FBI by April 27. President Trump called it "pretty serious stuff." Here is every confirmed case, what each person was working on, and why the pattern — particularly in New Mexico — is so difficult to explain away. The New Mexico Cluster: Four People, One State, One Year The detail that alarms investigators most isn't the deaths. It...
OpenAI, a research organization dedicated
to creating artificial intelligence that can benefit humanity, has just
released the fourth iteration of its highly popular GPT series, GPT-4. This new
version was released on March 14, 2023, and it's available via API and for
ChatGPT Plus users.
One of the main differences between GPT-4
and its predecessor, GPT-3.5, is that GPT-4 is a multimodal model, meaning that
it can accept both image and text inputs and emit text outputs. This means that
it can analyze the contents of an image and connect that information with
relevant texts. For example, it can generate captions for images, describe
scenes or objects in images, or answer questions based on images.
Another significant difference between
GPT-4 and previous versions is the number of parameters it has. Parameters are
numerical values that determine how the model processes inputs and outputs.
GPT-4 has 1 trillion parameters, which is twice as many as GPT-3.5. Having more
parameters means having more capacity to learn from data and generate diverse
and coherent texts.
GPT-4 has also achieved human-level
performance on various professional and academic benchmarks, such as passing a
simulated bar exam with a score around the top 10% of test takers. In contrast,
GPT-3.5’s score was around the bottom 10%. It also achieves state-of-the-art
results on tasks such as summarization, translation, question answering, and
text-to-video generation.
GPT-4's capabilities go beyond just
language processing. It can generate, edit, and iterate with users on creative
and technical writing tasks, such as composing songs, writing screenplays, or
learning a user’s writing style. Additionally, GPT-4 is capable of handling
over 25,000 words of text, allowing for use cases like long-form content
creation, extended conversations, and document search and analysis.
While GPT-4 has the potential to bring
about significant positive social impact, it also poses some ethical and
societal challenges such as bias, misuse, and accountability. GPT-4 still
struggles with social biases, hallucinations, and adversarial prompts.
Inaccurate responses are known as “hallucinations”, which have been a challenge
for many AI programs. Adversarial prompts are inputs that are designed to trick
or manipulate the model into generating harmful or misleading outputs.
Another challenge that comes with GPT-4 is
the cost of implementation and maintenance, as these technologies require
specialized hardware and software. Additionally, GPT-4 may also require a steep
learning curve for marketers to develop proficiency in its use.
In conclusion, GPT-4 is a powerful tool for language processing tasks, creative writing, and technical writing tasks, and has the potential to benefit society in many ways. However, it's important to address the ethical and societal challenges that come with its use to ensure that it's used in ways that align with our values and bring about positive social impact.
How to access GPT-4?
You would need to login to (https://chat.openai.com/chat) and upgrade to plus.
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