Craig Wright Blasts 'Experts' Who Can't Verify Their Work at Trial Over Satoshi Claims

CoinDeskPolicyPublicado em 2024-02-12Última atualização em 2024-02-13

Resumo

On Tuesday, he once again faced questions about a public blog post he'd signed cryptographically to prove he was Bitcoin inventor Satoshi Nakamoto that experts have since debu...

  • Craig Wright's cross-examination in the trial that could decide if his claims of having invented Bitcoin hold true continued Tuesday.
  • Wright insisted that the possession of private keys doesn't prove he's Satoshi, but his knowledge and work do, as he was asked why he'd failed to provide valid cryptographic proof.

Craig Wright on Tuesday lashed out at "experts" who "cannot verify their work" as he faced cross-examination in a trial that questions his claim of having invented Bitcoin – a claim the crypto industry has for years accused him of failing to verify.

"I hate that. I loathe it," Wright continued his passionate tirade until presiding Judge James Mellor intervened and asked the "lady in the back row," who was "nodding and shaking her head," to "just keep still" or risk removal.

Things got tense as the Australian computer scientist faced his sixth day on the witness stand while counsel for the Crypto Open Patent Alliance (COPA) probed documents and other material critical to Wright’s defense of being Satoshi Nakamoto, the pseudonymous inventor of Bitcoin.

Advertisement
Advertisement

On Tuesday, he was once again questioned about a public blog post he’d purportedly signed cryptographically to prove he was Satoshi that experts had since declared a hoax. One question was whether the "signing sessions" might be invalid because the keys Wright used could be obtained by someone other than Satoshi. ("Not at all," Wright replied)

He insisted that "identity" – say, that he’s Satoshi – cannot be proven by "possession" of the keys. "You don't prove by having identity through possession of something. You prove by knowledge. Who you are. What you create," Wright said.

When asked by COPA counsel Jonathan Hough to agree that producing "a signed message" as planned to prove he was Satoshi would not have posed a security risk of the private keys in question being figured out by others, Wright said: "The security risk is the security of my work, undermining the whole value of everything I've created. Not that the key will be taken."

The cross-examination continued for another full day, with Mellor intervening several times, including warning Wright that if he doesn’t answer a question, he’s going to "assume" he has no answer for it.

COPA tried to point out irregularities in Wright’s evidence and testimony provided in previous cases. In one instance, Wright changed his story on whether or not Dave Kleimann (someone Wright himself previously said was key to the invention of bitcoin – but disputed that claim Monday) was a trustee at Wright’s company Tulip Trading.

Advertisement
Advertisement

Wright will testify again on Wednesday, after which an expert witness for the defense may take the stand. The trial will continue for a few weeks more.

Edited by Nikhilesh De.

Leituras Relacionadas

Idle Macs Can Also Make Money? An Overview of Eigen Labs' Decentralized AI Inference Network Darkbloom

AI inference is becoming a crucial layer of internet infrastructure, yet it remains largely dependent on costly, capacity-limited centralized systems with potential security risks. Meanwhile, millions of powerful computers sit idle globally. Eigen Labs' Darkbloom network aims to utilize this idle capacity by enabling distributed AI inference on Mac computers, specifically those with Apple Silicon chips. Darkbloom's architecture consists of three components: users who send inference requests, a coordinator (operated by Eigen Labs) that routes these requests, and providers (Mac owners) whose machines run the models and return outputs without being able to see the request content. The system prioritizes privacy through a hardened provider process, software integrity checks, and hardware-supported attestation based on Apple's security architecture to ensure verifiable privacy. Economically, Darkbloom differs from traditional models. It leverages existing hardware, with marginal costs primarily driven by electricity, allowing it to offer pricing roughly 50% lower than major API aggregators. Providers keep 100% of the inference revenue, and the project does not rely on token subsidies; earnings come solely from real AI inference demand. However, early-stage earnings are modest, with top providers currently earning under $6 per day, influenced by factors like hardware specs, uptime, and network demand. The network currently supports models like Google's Gemma 4 and OpenAI's GPT-OSS via OpenRouter. To participate as a provider, users need an Apple Silicon Mac running macOS 14 or later, must install the Darkbloom provider software, and keep the machine online with a stable internet connection.

marsbitHá 6m

Idle Macs Can Also Make Money? An Overview of Eigen Labs' Decentralized AI Inference Network Darkbloom

marsbitHá 6m

Which Crypto Sectors Have Been "Eaten" by AI Agents?

The article examines which crypto sectors have been increasingly dominated by AI Agents and which remain human-centric. In certain high-speed, efficiency-driven areas, AI Agents have taken clear control. This includes derivatives/perpetuals trading, where bots outperform humans significantly (e.g., a contest showed 0% of AI Agents were liquidated vs. 43% of humans), arbitrage/MEV extraction, and yield optimization (with ~68% of new DeFi protocols in Q1 2026 featuring autonomous AI Agents). Spot trading and portfolio optimization are also seeing heavy Agent adoption. However, the shift is not universal. In "battleground" sectors, both Agents and humans coexist. In prediction markets, Agents dominate short-term arbitrage, but humans still outperform in long-term, nuanced judgment calls. In DeFi lending, while liquidation is automated, core deposit/borrow decisions remain largely human-driven. Sectors still firmly led by human activity include stablecoin payments and card-based spending (driven by real-world economic activity and remittances) and wallets, which serve as the crucial human-verification and approval layer. The rise of Agents increases the need for robust human-Agent verification layers. Projects like World/AgentKit, t54, Self Protocol, and Kite AI are building infrastructure to create trust, security, and accountability by binding Agents to verified human identities. In conclusion, while AI Agents have decisively "eaten" speed and optimization-focused crypto sectors, human judgment, trust, and real-world context remain dominant in areas that create broad economic value, such as payments and identity. The future likely involves a symbiotic relationship where Agents require human verification and oversight to operate effectively.

Foresight NewsHá 12m

Which Crypto Sectors Have Been "Eaten" by AI Agents?

Foresight NewsHá 12m

After Rising 11 Times in a Year, Micron's Earnings Report Becomes a Stress Test for the AI Memory Market

**Micron's Upcoming Earnings: A Crucial Test for the AI Memory Rally** Investors in AI memory stocks face a critical moment on June 24th, when Micron Technology reports quarterly earnings. The stock, having surged approximately 11-fold from $103 to $1,134 over the past year, carries immense market expectations. Wall Street consensus forecasts a staggering ~932% year-over-year jump in EPS to around $19.72 and ~270% revenue growth to ~$345 billion, largely driven by sold-out HBM (High Bandwidth Memory) capacity through 2026. Analysts have aggressively revised estimates upward over the last 90 days, with EPS expectations rising 68%. This creates a high bar: even strong results risk a sell-off if they fail to meet these elevated projections. Notably, price forecasts from institutions like Citi (predicting ~200% DRAM price increases in 2026) are already among the most bullish on Wall Street, not conservative. The key metric to watch is gross margin, guided to a record ~81%. Such peak profitability raises questions about sustainability in the historically cyclical memory sector. While management has signaled continued strength, the stock's direction post-earnings will likely hinge more on forward guidance for the next quarter and details on HBM capacity expansion for 2027, rather than the already-anticipated stellar past results. The report represents a major pressure test for the high-flying AI memory trade.

marsbitHá 16m

After Rising 11 Times in a Year, Micron's Earnings Report Becomes a Stress Test for the AI Memory Market

marsbitHá 16m

Trading

Spot
Futuros
活动图片