🗣OpenAI Noam Brown: "I think within a year or two, mathematics may start looking a lot like coding does today"

The models are doing a lot of the work, while humans steer them, point them in the right direction, challenge their outputs, and work with them to reach strong results.

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🤖 Settings that can make ChatGPT more personal, more useful, and more private.

Here are 7 settings worth checking today:

1. Customize how ChatGPT talks.

Tired of generic responses? Go to: Settings → Personalization → Custom Instructions
Tell ChatGPT: Your goals, your profession, your preferred writing style and how concise or detailed you want answers.

2. Turn on Memory.

If you don’t want to repeat yourself every chat: Settings → Personalization → Memory
Enable: Reference Saved Memories and reference Chat History. ChatGPT can then remember preferences, projects, and recurring context.

3. Protect your conversations.

By default, some users may have model-improvement sharing enabled. Check: Settings → Data Controls. Turn OFF: “Improve the model for everyone”

4. Unlock more models.

Many users never notice this setting. Go to: Settings → General
Enable: “Show additional models”. This gives you access to more model options when available, making it easier to choose the best model for different tasks.

5. Choose a personality.

Settings → Personalization → Personality
You can change how ChatGPT responds. For example: Professional, warm, concise and thoughtful.
Small change. Big difference in day-to-day conversations.

6. Connect your tools.

Settings → Apps & Connectors
Depending on availability, you can connect services like: Calendars, Email, file storage and productivity tools. This lets ChatGPT work with your existing workflow instead of living in a separate window.

7. Use scheduled tasks.

Many users don’t realize ChatGPT can help automate recurring work. Examples: Daily news summaries, weekly reminders, project check-ins and research monitoring. Set it once. Let it run automatically.

The best setup is simple:

✅ Memory on
✅ Training off
✅ Custom Instructions filled out
✅ Personality selected
✅ Extra models enabled
✅ Connectors configured
✅ Tasks automated

Five minutes of setup can save hours over the next year.

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🤖 Sam Altman says OpenAI is entering its third act and AI may soon help build its own successors.

For years, OpenAI was focused on one thing: reaching AGI. Then ChatGPT turned it into one of the fastest-growing consumer products in history.

Now comes Phase 3.

Altman and OpenAI’s lead scientist, Jakub Paczkowski, say the company’s new mission is bigger than building AI. The goal is to use AI to speed up science, boost economic growth, and make powerful intelligence cheap and accessible to everyone.

The boldest prediction? By March 2028, OpenAI expects AI systems to be doing a significant share of its research alongside human scientists. In other words, AI could soon be helping invent the next generation of AI.

The company compares this moment to the arrival of electricity: a foundational technology that reshapes nearly every industry, from healthcare and education to entrepreneurship and scientific discovery.

One theme appears throughout the essay: powerful AI should be widely distributed, not controlled by a small group of companies or countries.

That’s where things get interesting.

OpenAI argues that concentrating AI power is dangerous, yet it has also pushed for restrictions on access to the most advanced American AI systems for rival nations, especially China.

Source.

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🤖 Anthropic just released an AI so powerful it had to put guardrails on it before letting the public use it.

Meet Claude Fable 5.

Anthropic says it’s the best model the company has ever shipped, setting new records across software engineering, scientific research, reasoning, knowledge work, and vision. The more complicated the task, the bigger the gap between Fable 5 and Anthropic’s previous models.

Need help debugging a massive codebase, analyzing complex research, understanding dense documents, or tackling long multi-step projects? That’s exactly where Fable 5 is designed to shine.

But there’s a catch.

Anthropic says the model is capable enough in areas like cybersecurity that some requests are automatically handed off to a less powerful model, Opus 4.8. Topics involving cybersecurity, biology, chemistry, and AI model replication trigger the safety system, which Anthropic says activates in fewer than 5% of sessions.

At the same time, Anthropic is quietly releasing something even more interesting.

Claude Mythos 5 uses the same underlying model but removes some of those restrictions. For now, it’s only available to a small group of cybersecurity defenders and critical infrastructure operators, with broader access planned later through a trusted program.

Source.

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❗️Anthropic’s new Fable 5 safeguards are fascinating.

When the model is used for frontier LLM development, it apparently does not simply refuse or warn the user. Instead, it quietly limits its own effectiveness through techniques like prompt modification, steering vectors, and PEFT.

That means Claude may still answer, but become deliberately less useful for building frontier AI systems, pretraining pipelines, distributed training infrastructure, or ML accelerators.

Anthropic says this should affect only around 0.03% of traffic, but the precedent is big: They are being selectively capability-throttled in strategically sensitive domains.

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Claude Fable 5 to be removed from subscription plans after June 22

Anthropic has announced that Claude Fable 5 will be temporarily unavailable through subscription plans after June 22 due to high demand. The company intends to make the model available again as a standard feature once capacity is increased.

This adjustment affects current and prospective subscribers seeking access to Claude Fable 5. Further updates regarding its availability will be provided by Anthropic when more capacity becomes available.

📰 @aipost

“Vibe-coding is just a gambling addiction for SWEs”

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🚀 SpaceX unveiled its AI1 satellite, the first generation of its AI satellite.

Overall Specs:

• 150 kW peak compute payload
• 120 kW average compute payload
• 70 kW per ton
• Compute provider interchangeable

Dimensions:

• Wingspan: 70 meters
• Deployed height: 20 meters

Thermal System:

• 110 m² deployable liquid radiator
• Redundant pumping loops
• Integrated micrometeoroid shielding
• Deployable liquid radiators

Solar Power System:

• 150 kW solar array
• 250 W/m²
• SpaceX-manufactured solar technology from Bastrop, Texas

Architecture:

• Centralized compute module
• Large deployable solar arrays
• Deployable liquid-radiator thermal management system
• AI-focused compute satellite design ("AI1 satellite")

Elon: "The AI satellite is much simpler than a Starlink satellite. The AI satellite is essentially a lot of solar cells, you still need some laser links, but you don't have all of the super complex antennas that you have on a Starlink satellite. The easier one to design for is the AI satellite. It's bigger. A lot of this is technology we've already made with the Starlink V3 satellites."

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🗣Harvard longevity researcher David Sinclair: "We already have a proof of concept" for reversing 92-year-old skin cells to a 20-year-old state.

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