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The magic email address Sam Altman and OpenAI employees use to instantly kill workplace friction

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The magic email address Sam Altman and OpenAI employees use to instantly kill workplace friction

Operating at AI speed is not easy. At OpenAI, a special process—and a magic word—helps employees instantly cut through layers of bureaucracy and clear bottlenecks slowing things down.

It’s called “friction.” And it has the power to supersede just about anything a team is doing, often carrying the force of CEO Sam Altman or President Greg Brockman with it.

The process starts when someone emails friction@openai.com to report an internal bottleneck. The issues range from a technical system that isn’t working, a process that’s not having the intended result, or office-related frustrations, such as there not being enough IT vending machines.

OpenAI’s leadership team triages the emails sent to friction@, moving forward with ones they deem worthy. To help alleviate full parking lots, for example, the company started a pilot to prioritize spots for those with long commutes. Another time, employees asked for a better process to grant API credits reliably and at scale. If the matter is considered important enough, Altman or Brockman will get involved to ensure it’s resolved.

A former OpenAI employee who spoke to Fortune praised the friction system as an effective way for leadership to get ground-level feedback. The process helps teams keep moving forward, tackling issues before they can fester, the person said. That’s especially important as OpenAI’s headcount grows to more than 8,000 employees expected by the end of this year, with offices across the U.S. and the globe.

“It’s a good thing—literally anybody can complain about big company bullsh*t directly to Sam and they can act on it,” the former employee said. “If you want to ruthlessly cut through bureaucracy, you have to be ruthless about it.”

Although the friction email has existed within OpenAI for some time, the process didn’t really catch on until the fall of 2025 when Fidji Simo joined the company as CEO of Applications. She began her tenure with a three-month “listening tour” to understand problems at the company and how she could solve them. Concerns about moving quickly as the company grew were a consistent theme in those conversations.

“Companies rarely become bureaucratic all of a sudden” Simo tells Fortune. “It happens one unnecessary meeting, one extra approval, one small frustration at a time. Each makes it only 1 or 2% harder to do your job, which is why they’re easy to ignore, but those frictions compound.”

Simo put more process around the friction@ address. She tasked Irina Kofman, OpenAI’s VP of strategic initiatives and operations, with monitoring the inbox and making sure select issues got resolved. Simo also started a monthly, company-wide Slack update tracking the progress to signal to employees that the leadership team cared about their concerns. Simo left OpenAI in early July to focus on her health, and her healthcare startup, but the friction@ process and company-wide Slack updates about it remain.

While the effort to root out inefficiencies has clear benefits, and the friction system has become an integral part of the OpenAI culture, not everyone is a fan.

One former team leader at OpenAI, who said they had been on the receiving end of “dozens” of friction emails over the several years they worked at the company, said the process was often disruptive to the point that it created inefficiency.

“The individual who reports the issue probably thinks its the single most important thing, but to teams like mine that are constantly underwater, under-resourced, and over-leveraged, it’s the single most disruptive thing you could do,” the former employee said.

At a company with an intense work culture, where working long hours—often past dinnertime into the night—is common, the friction emails can create unwelcome fire drills. “If Sam and Greg think something is worthy, if it’s defensible, then essentially a ‘friction’ gets started, and the party who is responsible for the block is then more or less just told to shut up and do it,” the person said. “It’s no joke, a drop everything kind of deal.”

With competition so fierce in the race to build and release the latest AI models however, the expediency of shaving off every possible drag on speed trumps all. And in tech, fire drills and company-wide “lockdowns” are a part of the job many have come to accept. In December, for example, OpenAI instituted an internal “code red” pushing employees to double down on strategic product initiatives in order blunt the advances of rivals like Google and Anthropic.

OpenAI’s friction emails also call to mind a famous practice at another tech giant: the dreaded question mark emails from Amazon founder Jeff Bezos.

When an Amazon customer emailed Bezos at jeff@amazon.com, if Bezos deemed the issue worthy of the responsible team to look into, he would email them a single question mark. This was internally known as a “Jeff B escalation.” The team on the receiving end would need to prioritize deep diving and correcting the issue immediately. OpenAI’s friction@ email address are in the same tradition, though aimed at internal issues rather than those experienced by its external customers.



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Pokémon cards are becoming a multibillion dollar asset class. Now crypto wants a piece

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Pokémon cards are becoming a multibillion dollar asset class. Now crypto wants a piece


“There has never been a central registry or clearing house for this market,” ATH argued in a recent research report. That fragmentation, the firm said, creates an opportunity for blockchain-based ownership and settlement infrastructure.

The company is aiming to do so by placing physical cards, primarily ‘PSA-10s’ (cards receiving the highest grade awarded by Professional Sports Authenticator), in a secure, professionally managed vault. Each physical card would then be matched one-to-one with a digital token representing ownership. The token could change hands while the underlying card remains in storage, only moving when an owner chooses to redeem it for physical delivery.

The process is similar to putting physical assets, such as gold, Treasury bills, stocks and private credit, onto the blockchain. This process, called tokenization, has become one of the biggest topics in blockchain technology recently, as proponents say it reduces costs, makes settlement more efficient and enables around-the-clock trading of assets.

That model, for trading cards, appears to be attracting user activity.

Courtyard, one of the best-known platforms in the trading card space, offers digital packs whose contents correspond to physical collectibles held in a vault. It currently processes roughly $139 million of volume over 30 days and is running at an annualized fee of about $48 million, according to DeFiLlama data.

There are other blockchain platforms tokenizing trading cards, including Collector-Crypto ($148.2 million in annualized fees and $77.8 million in 30-day volume) and Phygitals ($15.2 million in annualized fees and $7.4 million in 30-day volume).



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FleetWorks and SONAR partner to put live market intelligence inside the agentic marketplace

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FleetWorks and SONAR partner to put live market intelligence inside the agentic marketplace


New integration embeds SONAR rates and coverage difficulty across FleetWorks’ AI phone, email, and SMS workflows to help brokers and carriers book with more confidence.

San Francisco, CA August 13, 2026 — FleetWorks, the AI marketplace that matches brokers and carriers at scale, and SONAR, the leading freight market data and supply chain intelligence tool, today announced a partnership that brings SONAR’s TRAC rates and coverage scores into FleetWorks’ AI agents platform-wide. The integration is live now for any carrier using the FleetWorks platform as well as brokers who are both FleetWorks and SONAR customers, giving broker teams verified market context at the moment they quote, negotiate, and cover freight.

Freight moves faster than the systems most brokerages use to book it. A carrier sales rep negotiating a load typically has the conversation in one place and the market data in another — a SONAR dashboard, a rate tool, an account manager or pricing analyst on Teams. By the time the context arrives, the carrier has hung up or the load has been covered by someone who answered first. The same gap exists for AI agents: automation built around a brokerage’s min/max spread, without current market data, misses key insights in a dynamic market..

The partnership closes that gap. SONAR’s high frequency data now feeds directly into FleetWorks’ AI agents across every channel the platform supports — phone, email, and SMS. When a FleetWorks agent works a carrier or load, it references SONAR’s current spot rate and live market conditions as it works toward a bookable price within the broker’s guardrails. When market conditions fall outside those guardrails, the agent escalates to a person with the SONAR context attached. Brokers input rate tolerances, and approval or escalation rules; SONAR supplies the ground truth those controls act on.

Mutual broker teams can now:

  • Negotiate every carrier call and email against current lane-level market rates, not last week’s history.

  • Prioritize which loads and lanes need human attention using SONAR lane scores.

  • Quote faster and more consistently, without reps switching between a rate tool and the conversation.

  • Escalate out-of-market situations to a person with the relevant SONAR context already attached.

  • Measure outcomes against market benchmarks across the whole team. 

“Enabling access to accurate, high frequency data at the moment a decision gets made in freight negotiation creates more efficient and better outcomes. FleetWorks operates right then — the live negotiation — across thousands of daily carrier conversations. Putting SONAR there means the market signal and the market action happen in the same place.” – Julie Van de Kamp, Chief Marketing and Operations Officer at SONAR.

FleetWorks’ AI agents currently handle 30,000+ daily loads across 40+ brokerages, engaging a network of 29,000+ carrier MCs.

For a broker, covering a load has always been a guessing game. Have I found the best carrier at the best price? For a carrier, covering a truck is about maximizing your rate today and maximizing the utilization of your truck over the week. AI agents bring answers to those questions. With SONAR built in, every conversation has integrated data that answers these questions to provide more trust in the marketplace. If there’s an unanswered question, people step in exactly when their judgment matters.” said Paul Singer, CEO and Cofounder, FleetWorks

The integration is live now for Fleetworks carriers. For brokers who are Fleetworks and SONAR customers, activation is automatic. SONAR customers who are interested in this feature, request a Fleetworks demo here. For Fleetworks customers who are interested in this feature, request a SONAR demo here

SONAR and Fleetworks will be hosting a live webinar on August 27th at 2pm et. To register for the webinar, including a live demo, click here

About FleetWorks: FleetWorks helps brokers cover loads and manage their freight using thousands of orchestrated AI agents. Our users make better business decisions informed by the data our platform shares with their teams, including our network of over 29,000 vetted carriers to cover loads without posting. We track every load through GPS and AI agents, alerting you when something looks off, so you can serve your customers with confidence.

About SONAR:  SONAR is the leading provider of high-frequency, global supply chain intelligence for the freight and logistics industry. SONAR’s price, demand and capacity data 

allow customers to benchmark, analyze, monitor and forecast the global physical economy.

The post FleetWorks and SONAR partner to put live market intelligence inside the agentic marketplace appeared first on FreightWaves.



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Can Aster’s 99% buyback drive the price higher? What could stop it?

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Can Aster’s 99% buyback drive the price higher? What could stop it?


Between July 27th and August 10th, Aster allocated 99% of daily platform fees to ASTER buybacks. The project’s latest tokenomics update showed that purchases totaled 2,851,653.28 ASTER.

Source: X

Aster matched those purchases with a 2.85 million ASTER burn from its team allocation.

Cumulative burns under the new tokenomics surpassed 11,086,108.41 ASTER since June 17th.

Total burns across all programs reached 188,867,109.98 ASTER. Continued platform use could link revenue to periodic token removals. At the same time, estimates placed 5.30% to 8.10% of ASTER’s supply in staking.

However, scarcity alone may not drive price higher. Buyers must still absorb available supply near resistance.

Do exchange outflows support ASTER?

Exchange activity added to the altcoin’s tightening supply conditions. Spot Netflows recorded a negative $556.49K on August 10th.

Negative Spot Netflows meant more ASTER left exchanges than entered them during the measurement period.

That reduced the tokens immediately available in exchange liquidity. The direction complemented Aster’s buyback and burn program. The chart also showed several larger negative readings across ASTER’s historical flow profile.

Recent outflows were smaller individually. Even so, their direction reinforced the wider burn and staking narrative. These supply-side forces supported ASTER’s setup. However, buyers still needed to capitalize on them near resistance.

Source: CoinGlass

Can ASTER reclaim $0.622?

ASTER traded near $0.602 at press time after breaking below $0.622. The token traded near the range’s lower boundary around $0.600. Its previous range extended from $0.622 to $0.656.

Sellers triggered a breakdown in late July. Since then, the altcoin has moved around $0.600 without establishing a clear recovery path.

That left $0.622 as the first-level buyers needed to reclaim. A recovery above it could reopen the path toward $0.656.

Beyond that, $0.720 remained the larger resistance from June’s structure.

However, the Directional Movement Index showed weak trend conviction. The +DI stood at 17.05, while the -DI reached 15.41. The ADX stood at 12.84, indicating limited trend strength. Buyers held only a slight directional edge.

Supply tightening could support recovery, but $0.622 remained the immediate technical test.

ASTER price actionASTER price action
Source: TradingView

Where could ASTER move next?

The Liquidation Heatmap placed the altcoin between two prominent liquidity concentrations. The nearest upside liquidity developed around $0.620. That is closely aligned with the $0.622 technical resistance.

Another significant concentration formed around $0.597, below ASTER’s recent trading range. This left the price trapped between two nearby liquidity pools near $0.600. A sustained rise could draw ASTER toward $0.620.

If selling resumed, the price could test the $0.597 concentration first. Liquidity also extended below $0.590 and $0.585. Higher concentrations appeared around $0.630 and $0.634. This kept $0.620 to $0.622 as ASTER’s near-term upside battleground.

Source: CoinGlass

Final Summary

  • ASTER buybacks, burns, staking, and negative Spot Netflows reduced the immediately available token supply.
  • A reclaim of $0.622 could strengthen ASTER’s recovery case toward $0.656.

 



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CFTC orders Kalshi to continue offering prediction markets in New York after state lawsuit

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CFTC orders Kalshi to continue offering prediction markets in New York after state lawsuit

“New York intends to make event contract derivatives waste away under its iron curtain of state gaming laws before the courts get the chance to issue final rulings,” he said. “These are financial exchanges that offer financial instruments and operate across state lines. They match the bid from a resident of one state with the offer of a resident from another state and submit the trade to a clearinghouse that backstops the transactions of customers throughout the country. New York has no business regulating these interstate financial markets.”

The CFTC had previously sued New York over its stance on prediction markets.

New York sued Kalshi on July 31 after a federal judge ruled against Kalshi’s bid to block the state from filing a lawsuit. New York alleged that Kalshi was violating its state gambling laws by offering sports prediction markets.

“Kalshi has failed to obtain a license from the New York State Gaming Commission (Gaming Commission), sidestepping its obligation to pay taxes like licensed casinos and mobile sports gambling platforms do,” a press release from the state said. “This tax revenue from gambling regulation funds public schools, sports programs for underserved youth, and problem gambling education and treatment.”

Kalshi moved to transfer the case to federal court; New York moved to transfer the case back. The motions are currently awaiting a judge’s ruling.



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Chip equipment stocks rise after Taiwan Semiconductor revenue surges 45%

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Chip equipment stocks rise after Taiwan Semiconductor revenue surges 45%


What happened: Shares of chip equipment makers rose on Monday, with ASML (ASML) leading Applied Materials (AMAT) and Lam Research (LRCX) higher.

What’s behind the move: The companies, which provide advanced semiconductor-making equipment to Taiwan Semiconductor Manufacturing Company (TSM), moved higher after TSMC said its revenue jumped 5.6% in July to around $14.51 billion from the prior month and 44.7% from a year earlier.

On an annualized basis, TSMC’s revenue for January through July 2026 totaled roughly $89.11 billion, up 37% from the same period in 2025.

What else you need to know: TSMC is the world’s largest chipmaker, and its business has boomed, driven by demand for semiconductors used in artificial intelligence.

Last month, the company reported record second quarter revenue of $40.2 billion, up 36% from a year earlier, and raised its 2026 revenue growth forecast to more than 40%.

Ines Ferre is a senior business reporter for Yahoo Finance. Follow her on X at @ines_ferre.

Click here for in-depth analysis of the latest stock market news and events moving stock prices

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Bitcoin price news: BTC stuck at $63,000 as ETF inflows offset selling; CPI inflation looms

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Bitcoin price news: BTC stuck at $63,000 as ETF inflows offset selling; CPI inflation looms


Bitcoin barely budged on Tuesday, extending a five-week standstill as steady demand from exchange-traded funds ran into selling from miners and corporate holders.

BTC slipped to around $63,500, down 0.6% over the past 24 hours. More importantly, the largest cryptocurrency remained trapped in the roughly $62,000-$66,000 range that has contained prices for much of the summer.

“Bitcoin’s recent price action has largely been driven by steady ETF inflows being offset by OTC selling from miners and Strategy (MSTR),” Paul Howard, senior director at trading firm Wincent, said.

Crypto trading volumes have fallen to their lowest levels in three years, he added, leaving little firepower to push BTC decisively in either direction.

Bitfinex analysts also pointed to the competing flows. ETFs and bitcoin treasury companies have been two major sources of price-insensitive demand, they said, but corporate treasury activity has recently provided offsetting selling pressure. That helps explain why BTC gained only about 2% last week despite strong ETF inflows and better performance across broader risk markets.

CPI could shake bitcoin from its slumber

Wednesday’s U.S. inflation report could finally give traders a reason to break the stalemate.



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