🤝 OpenAI x Anthropic cross-tested each other’s models

Earlier this summer, before GPT-5 launched, the two AI giants ran each other’s public models through their own internal safety tests. The idea was to check “raw” alignment without external filters.

🔸 Reasoning models (OpenAI o3, o4-mini, Claude 4) proved far more resilient, harder to jailbreak and better at refusing unsafe tasks
🔸 Classic chat models (GPT-4o, GPT-4.1) sometimes slipped, offering help with dangerous requests like drug or weapon instructions
🔸 Most models showed sycophancy, agreeing with users even in dubious scenarios, except o3
🔸 Anthropic models leaned toward refusal under uncertainty, while OpenAI models answered more often but risked higher hallucinations

Cross-testing exposed the blind spots that guardrails usually hide. If this becomes an industry standard, it could redefine how safety is measured in AI.

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🔊 Sam Altman on retaining talent as startups scale

Sam Altman says the biggest mistake founders make is failing to shift from recruiting to retaining as the company grows. Early on, hiring dominates. Later, retention becomes life or death for the business.

He recalls Zuckerberg’s rule: only hire people you would report to if roles were reversed. But if you do not make their role strong enough to stay in for the long term, the best people will leave.

Altman’s tactical advice for CEOs:
🔸 Spend one on one time with your best 5–10 people, through dinners, drinks, and real connection
🔸 Keep giving them more responsibility, because growth is retention
🔸 Proactively re-up compensation instead of waiting for them to ask

To keep your best people, treat them like co-founders, not just employees.

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🎥 Krea unveils real-time AI video tool

Krea introduced a real-time generator that lets users control outputs by sketching simple shapes. The result feels like img2img extended into video, with temporal consistency across frames.

🔸 Works at 12 fps in real time
🔸 Maintains coherence by referencing prior generations
🔸 Not quite video2video, but something new in between
🔸 Perfect for concept art, experimental clips, or music videos

👉 Join the waitlist here 👈

It’s still early days, but the ability to steer video generation live opens up a fresh creative playground.

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📝 Make ChatGPT sound more human in seconds

No external tools needed. You can adjust it right inside ChatGPT.

🔸 Open ChatGPT
🔸 Click your profile photo → “Customize ChatGPT”
🔸 In the Traits field, paste this prompt:

Write in natural, human-sounding English. Avoid the AI tone: overly formal, polished, or generic phrasing.
Do not use long dashes, excessive quotation marks, corporate jargon, or bureaucratic language.
Choose simple, clear wording. Conversational style is fine if it helps convey the idea.
Don’t repeat the same phrases or overcomplicate sentences without need.
Vary sentence length and rhythm so the text feels alive.
The priority is clarity of meaning, individual style, and practical value in every line.
Each sentence should feel intentional, not mechanically generated.

Once applied, ChatGPT will stop sounding stiff and start producing sharper, clearer, more natural text.

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💐 What Taylor Swift’s engagement teaches founders about hyper growth

When Taylor Swift’s engagement racked up 1.2M likes in ten minutes, it was not just pop culture. It was a masterclass in scaling fast. The playbook is surprisingly startup friendly.

🔸 Timing is everything: Swift stacked the moment on top of NFL buzz, a viral podcast, and album rumors. Stripe does the same by syncing launches with its developer conference.

🔸 Community as a growth engine: Swifties spread memes and clips, pushing engagement viral. Monzo and Robinhood tapped the same energy with forums and referrals.

🔸 Smart pivots: The engagement doubled as a market move, like Twitch’s shift to gaming or Hopin’s pandemic era pivot to virtual events.

🔸 Network effects: Swift’s team tracked sentiment and adapted in real time. Notion and Airbnb grew the same way, evolving through user input and feedback loops.

The lesson: cultural moments and startup hyper growth follow the same rules. Nail timing, build community, pivot with intent, and amplify network effects. That is how you turn buzz into unstoppable momentum.

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🥷 Murder shocks Burning Man, Silicon Valley’s desert playground

A homicide investigation has cast a dark shadow over Burning Man after a man was found dead during Saturday’s effigy burn. The timing is striking, as the festival has become more than a counterculture ritual - it is a networking hub for tech founders and investors.

🔸 Burning Man has long served as Silicon Valley’s offsite. Musk once said “Burning Man is Silicon Valley.” Zuckerberg flew in to hand out grilled cheese. The first-ever Google Doodle was literally a Burning Man out-of-office notice from Page and Brin.

🔸 The event attracts not only billionaires but also early-stage founders and VCs, who see it as a place to build relationships away from boardrooms. Deals, angel checks, and even company ideas have famously started in the dust.

🔸 The homicide disrupts that mythos. Instead of a playground for serendipity and founder bonding, Black Rock City briefly became a crime scene with authorities warning participants to “stay vigilant.”

For years, startups have mythologized Burning Man as the desert where innovation and counterculture blur.

This week showed the other side of that fantasy, when your networking hub is also a temporary city, it inherits all the risks of the real world.

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💶 Scramble makes investing in consumer brands simple

Scramble is a European platform that lets anyone back fast-growing consumer companies and earn from it - without the noise of stocks or daily market tracking.

Each month, users get a curated batch of companies, and investments are automatically diversified.

🔸 Founder-backed loans, disbursed in stages to reduce risk
🔸 Group A: monthly repayments, up to 12.4% annually
🔸 Group B: higher risk, up to 25% returns
🔸 Scramble co-invests up to 20% in every batch

✨ New users get €10 for signing up, plus €5 bonus for every €100 invested.

Positioned as a hands-off, lower-volatility way to grow capital, Scramble is betting on the appeal of consumer brands as a stable entry point for retail investors.

⚡️ Hyperdrives powers up with €3M for next-gen EV motors

Munich-based Hyperdrives has raised €3M pre-seed to bring motorsport-level performance to mass-market electric motors. The round was led by Rethink Ventures with First Momentum, SDAC, Acequia Capital, 2100 Ventures, Prototype Capital, and angels.

🔸 Breakthrough tech: hollow-conductor cooling that channels coolant directly into copper windings, tripling current density compared to standard motors.

🔸 Proven traction: bootstrapped through 3 product generations, tested under harsh racing conditions, and hit €1M in 2024 revenue before outside capital.

🔸 Market scope: automotive (Hyperdrives One with SiC inverter), electric aviation, and marine.

🔸 Why it matters: combines record power density with scalability and cost efficiency, a critical bottleneck for mass EV adoption.

With fresh funding, Hyperdrives will validate durability, expand customer pilots, and prepare industrial-scale licensing deals with OEMs and Tier-1 suppliers. A startup blending racing DNA with OEM pragmatism is now chasing global electrification.

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📖 Free AI courses from Anthropic

Anthropic has released a set of free courses that explain AI fluency in simple, structured ways. Worth checking out whether you’re teaching, learning, or just trying to catch up with the basics.

🔸 AI Fluency: Framework & Foundations
🔸 AI Fluency for Educators
🔸 AI Fluency for Students
🔸 Teaching AI Fluency

All courses are free and, in many cases, more useful than paid ones.

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🗣️ Grok code theft scandal

A former xAI engineer quit after allegedly stealing the entire Grok codebase and joining OpenAI. Musk confirmed the breach.

🔸 Before leaving, the employee cashed out $7M worth of xAI stock
🔸 xAI has already filed a lawsuit
🔸 Musk called it outright theft of company IP

Another chapter in Musk’s chaotic AI battles and a case study in how messy talent wars in this space are getting.

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❕ China enforces AI content labeling

Starting September 1, China requires all AI-generated content from text and images to audio and video to be labeled. Platforms must apply both visible tags and hidden watermarks or metadata.

🔸 WeChat, Douyin, Weibo and RedNote have already rolled out the rules
🔸 Users must disclose AI use or risk account bans
🔸 Weibo now allows people to report posts without AI tags

For startups and creators this sets a precedent: AI output is now regulated at the content level, not just the model level.

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📊 How startups feel in 2025

Mercury surveyed 1,500 founders and the results paint a mixed but telling picture of today’s startup economy.

🔸 87% feel more confident than in 2024, only 3% say things are worse
🔸 Startups with AI are far more optimistic (93% vs 71%)
🔸 27% raised over $5M, often combining VC with loans, grants, or RBF
🔸 61% are hiring, but among $5M+ revenue companies there are no solo founders
🔸 80% expect costs to rise in 2025, mostly due to AI and automation

AI has shifted from optional to required, funding sources are diversifying beyond pure venture, and teams are the real bottleneck to scale.

Optimism is back, but founders who overextend on AI spend or inflate metrics may find 2025 just as risky as 2022.

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💡A new culture in Silicon Valley

In past decades, "hustle culture" was optional. Today for 18–25 year olds in the Valley it has become the norm. Bars, drugs, and hookups are replaced with 12-hour workdays, 6–7 days a week.
Not grinding is what’s “uncool.”

This isn’t about a few outliers, it’s widespread and culturally reinforced. It means this generation may achieve far more than those before them.

The open question is what the long-term cost will be to health and psychology.
Or maybe that’s just how we justify not working as hard.

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📞 Assort Health raises $26M to automate clinic calls

Assort Health is betting that millions of Americans will still pick up the phone to book a doctor. The startup built a generative AI platform that replaces human operators, handling patient calls and syncing them directly into clinic schedules and EMR systems.

🔸 Already live with 50+ clinics
🔸 Works 24/7, no apps required, just a phone number
🔸 Cuts admin load and reduces errors
🔸 Just closed $26M at a $750M valuation

The catch: phone-based scheduling is a shrinking channel. In cities, apps and AI agents already handle bookings. The long-term question is whether Assort is tapping into a sticky, underserved demographic or simply cashing in on AI hype before the phone goes extinct.

Would you call this smart timing or a misaligned bet on a dying habit?

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📊 Where the money flows in US startups

Crunchbase compared startup funding by state in 2025, and the picture is one-sided. California has pulled in well over $100B already, leaving New York, Massachusetts, and Texas far behind.

For founders chasing capital, the US map is simple. There’s California and then everyone else.

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🤖 Figure teaches Helix to load a dishwasher

Figure’s humanoid model Helix is showing how far general-purpose robotics can go. The same system that folded towels and sorted packages now loads dishwashers - no new algorithms, only new data.

🔸 Handles stacked plates, glasses, cluttered states
🔸 Uses two arms in sync for fragile reorientation
🔸 Recovers from slips and collisions without breaking flow
🔸 Learns new skills incrementally across domains

Click Me Load More a dishwasher might sound simple, but for robotics it combines perception, precision, and adaptability. Helix’s progress is another step toward humanoids that scale beyond demos into real-world use.

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🧮 Solve your math in a few clicks

Mathos is a simple helper for students that turns tough problems into clear, visual explanations.

🔸 Covers algebra, geometry, trigonometry, linear algebra, calculus, probability, and statistics
🔸 Accepts text, photos, PDFs, or voice input
🔸 Shows step-by-step solutions and builds graphs for clarity
🔸 Free to use

If you are buried under problem sets, this will save hours.

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🚕 Tesla opens Robotaxi to the public

Tesla has launched its Robotaxi app for iPhone users, letting anyone join the waitlist for self-driving rides. Until now, access was limited to influencers and celebrities.

🔸 Service currently works only in Austin
🔸 All rides still have a human safety observer in the passenger seat
🔸 In Silicon Valley, Tesla is testing a different Uber-style format with a driver behind the wheel overseeing the system

The move marks Tesla’s first real step toward scaling autonomous ride-hailing beyond PR stunts.

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