🧬 AI just made proteins that can turn back cellular aging 50× faster

OpenAI created proteins that rejuvenate cells 50× more effectively

OpenAI, together with Retro Biosciences, developed a new model — GPT-4b micro — designed for protein engineering.

The model helped create new variants of the Yamanaka factors — proteins that turn ordinary cells into stem cells.

Result: a 50-fold improvement in reprogramming efficiency compared to natural proteins.

The new proteins, RetroSOX and RetroKLF, differed from the originals by over 100 amino acids, yet worked better in 30–50% of cases.

Most importantly — they showed improved ability to repair DNA damage, which is directly linked to cellular rejuvenation.

In experiments on human fibroblasts from donors over 50, within just 7 days more than 30% of cells began expressing pluripotency markers.

Forget Ozempic. In a couple of years, we might be injecting lifespan extensions instead.
Like in the movie In Time.
Let’s just hope it doesn’t end like The Substance. :)

#OpenAI #Longevity #Biotech

@science

🤖 OpenAI Just Released Three Versions of GPT-5.6 — and the Most Important One May Not Be the Flagship

On July 9, OpenAI released GPT-5.6 as a family of three models rather than a single flagship:

• Sol — the most capable version, priced at $5 per million input tokens and $30 per million output tokens
• Terra — a balanced model with performance competitive with GPT-5.5 at roughly half the price: $2.50/$15
• Luna — the fastest and cheapest version, priced at $1/$6

Sol is designed for difficult coding, scientific research, cybersecurity, and long-running agentic tasks. It also introduces an ultra mode that can coordinate parallel subagents to solve complex problems.

But Terra may be the more consequential release.

If it consistently delivers something close to GPT-5.5 performance at half the cost, many companies may have little reason to use the flagship for everyday workloads. Sol wins benchmarks and headlines; Terra could win production volume.

OpenAI also launched ChatGPT Work, a workspace that can gather context from connected tools and turn it into finished spreadsheets, documents, presentations, analyses, and other deliverables.

This suggests that the AI race is moving beyond model intelligence alone.

Nikolas Bush Take

1. Model portfolios are replacing the idea of one universal model

OpenAI is beginning to resemble a cloud provider: instead of asking which model is “best,” customers choose the right combination of intelligence, latency, and price.

That makes the middle tier strategically important. Terra could become the default model for businesses, while Sol remains the premium option for the hardest tasks.

2. Government involvement in frontier-model launches is becoming harder to ignore

OpenAI initially released GPT-5.6 through a limited preview after discussing the models’ capabilities with the US government. The company said trusted partners were selected with government involvement before broader availability.

Anthropic faced an even more direct intervention: access to Claude Fable 5 and Mythos 5 was suspended after US export controls were imposed, before Fable 5 returned globally on July 1 with stronger safeguards.

This is not yet a formal regulatory system. But a de facto pre-release review process for highly capable AI models may be emerging through government pressure, security testing, and access restrictions.

3. The real competition is shifting toward the workspace

When several frontier models reach similar levels of capability, the surrounding product becomes more important.

The winner may not be the company with the highest benchmark score. It may be the company that owns the environment where people research, write, analyze data, build presentations, manage projects, and automate everyday work.

Models can increasingly be replaced. Workflows, integrations, organizational data, and user habits are much harder to displace.

Independent testing of GPT-5.6 is still limited, and many performance claims come from OpenAI’s own evaluations. Terra’s price-performance advantage therefore needs to be validated across real business workloads.

But the broader direction is already visible:

The era of one flagship model for every task may be ending. The next phase of AI will be fought through portfolios, workflows, and distribution.

Sources:
https://openai.com/index/gpt-5-6/
https://openai.com/index/previewing-gpt-5-6-sol/
https://openai.com/chatgpt-work/
https://www.anthropic.com/news/redeploying-fable-5

#AI #OpenAI #GPT56 #ChatGPT #ArtificialIntelligence #NikolasBushTake