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This changes the game. For years Meta and Mistral released open models while OpenAI stayed closed. Now they compete on same terms.

What to do with them: Fine-tune on your data. Deploy offline. Build products without API dependencies. Run advanced reasoning locally with just 16GB.

Apache 2.0 means no restrictions. No copyleft. No patents. Commercial use allowed.

Where to try them: Hugging Face Hub for download, OpenAI research playground for testing (gpt-oss .com), Ollama for local deployment of the 20b model.

You can modify, commercialize, and deploy them without paying OpenAI or asking permission.

The specs: 120b runs on a high-end computer with a good GPU. 20b needs just 16GB memory and can run on a phone. Both use mixture-of-experts so they activate fewer parameters than their total size suggests.

OpenAI released two models you can actually own. Both do o3-level reasoning, and one can run on your smartphone. Here's how you can use them.

After six years of closed models, OpenAI just dropped gpt-oss-120b and gpt-oss-20b under Apache 2.0 license.

When they're like "show us what you're working on?" Raincheck?

Here's a startup tip, don't hire accounting firms early.

This is how we handle our own expenses and accounting.

No need to pay extra.

Maybe the question is not how to fill eight hours. Maybe the question is how to accomplish what matters in less time.

Time spent does not equal value created. Results do. Check out ActivTrak's 2025 State of the Workplace.

When you measure results instead of hours, people find ways to work smarter. They cut out busy work. They focus on what actually moves the needle.

The eight-hour workday was designed for factory workers in 1926. Knowledge work operates differently.

Companies are starting to notice. More than 1 in 4 paid workdays in the US were done from home in 2024, up from 1 in 14 before the pandemic.

The lesson here is not about remote work specifically. It is about designing work around output instead of input.

The difference comes down to fewer interruptions. No hallway conversations. No impromptu meetings. No commute exhaustion.

Over 90% of employees believe they are as productive or more productive than the previous year. 70% now maintain a healthy workload - the highest level recorded.

This breaks the old rule that more hours equals more output.

Remote workers spend 4.5 hours daily in focused work. Office workers manage 3.7 hours. That extra focus time adds up to 4+ hours of productive work per week.

People are working less and somehow getting more done

The numbers from 50,000 workers tell an interesting story.

Average workday dropped by 36 minutes compared to pre-remote work. Yet productivity increased by 2%. Workers now end their day at 4:39 PM instead of 5:21 PM.

If you use QuickBooks or Xero, manual data entry wastes time and causes errors.

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The math problems got solved. The trust problem didn't.

Every AI company has a trust fingerprint. OpenAI overhypes capabilities. Anthropic underhypes limitations. Others have their own patterns.

When you can't see intelligence, you have to judge the messenger. Their track record matters more than their latest benchmark score.

A model that aces math olympiad problems might still struggle with basic reasoning in your actual work. The tests are impressive but disconnected from what you actually need AI to do.

GROK pulled the same stunt the week before. Claimed number one, then quietly wasn't.

But here's the deeper issue: these benchmarks rarely translate to real world value.

Anthropic does the opposite. They write careful research papers, then claim Claude can solve world hunger. Same model that refuses to write a mildly sarcastic email because it might hurt someone's feelings.

This is OpenAI's pattern. They love grabbing headlines. It doesn't mean their models are bad, I use ChatGPT daily. But they need the PR buzz more than most.

DeepMind was more transparent about their methods but also didn't follow the competition format.

The answers were correct. But the test conditions? Completely different.

OpenAI skipped the official examiners. Ignored the marking guidelines. Didn't wait the requested week before announcing. And we still don't know if they used one model or six models working together.

Every AI company lies differently. OpenAI claimed they won gold at the International Math Olympiad this weekend. Big news, right? First AI to ever do it.

Then DeepMind said they got gold too.

Except neither actually participated in the official competition.

We've come a long way, haven't we.

PayStorm passed rigorous security audits, meeting bank-grade encryption and data protection standards like NIST, PCI, GDPR, and CCPA.

Your financial data stays secure so you can focus on growing your business with confidence.

We know payment risk isn’t static. That’s why we added this feature for those who want to keep a long-term view.

Now it’s easier to be one of those people when you have this feature right at your fingertips.

Individual talent is worth more than entire companies.

I've observed the Valley for many years and never seen competition this fierce.

Cognition Labs stepped in to clean up the mess. They bought everything left, made all 250 employees whole, and got a FedRamp certification for government contracts.

AI money is so insane right now that it's turning basic business ethics upside down.

This breaks the entire ecosystem. Before, founding a company was the only path to that kind of money. Now Google pays employee salaries that used to require IPOs.

So the founders became employees of their own company. When Google offered them hundreds of millions personally, they could accept as individuals. The investors who actually controlled Windsurf were left to figure out what to do with the remaining business.

Windsurf had raised $243M from Kleiner Perkins, General Catalyst, and Founders Fund at a $4B valuation. When you take that much venture capital, you give up majority control to investors.