Meta released Muse Spark as part of a broader rebuild of its AI efforts, led by Alexandr Wang after a $14.3B investment in Scale AI. The model is already available on the web and in the Meta AI app.
Muse Spark uses multiple agents working in parallel to solve complex tasks in a planned Contemplating mode. It performs well on visual STEM tasks and is positioned for use cases like health queries and interactive problem solving.
The product requires a Meta account to use and is expected to expand across Meta apps. The company is also considering more advanced models and future open source releases.
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The New York Times published a longread arguing that Bitcoinβs creator may be British cryptographer Adam Back.
The case is built on linguistic patterns, forum activity timelines, and early work that outlined key ideas behind Bitcoin.
The article highlights matching writing quirks, similar views on spam, and Backβs absence from Bitcoin discussions until 2011, right when Satoshi disappeared.
It also notes a later message from Satoshi supporting Back during a key block size debate.
The evidence is indirect, but the timing and overlap in ideas form the core of the argument.
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Anthropic reports its unreleased model Claude Mythos discovered thousands of zero-day vulnerabilities in operating systems and browsers within days, working largely Π°Π²ΡΠΎΠ½ΠΎΠΌously.
Examples include a 27-year-old flaw in OpenBSD enabling remote crashes, a 16-year-old bug in FFmpeg missed by millions of test runs, and a Linux kernel exploit chain giving full server control.
The company says the model can now find and exploit vulnerabilities at the level of top specialists. To prepare defenses, Anthropic launched Project Glasswing, giving 40+ companies access and $100M in credits to secure their systems first.
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OpenAI is finishing a new model called Spud but will not release it broadly. Access is expected to be restricted to a small group of companies due to concerns around autonomy and cyber capabilities.
Earlier reports said the model was strong enough to trigger internal changes. OpenAI created a new AGI Deployment unit to handle how Spud is used in products, replacing parts of the product integrations team.
The company is also exploring a βsuper appβ built around the model, combining ChatGPT, Codex, and the Atlas browser.
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Investors sold about 8,600 oil futures contracts worth ~$950M just hours before a U.S.βIran ceasefire was announced. The move came shortly before crude dropped ~15% to below $100.
Such large single trades are rare. Positions are usually spread across exchanges to avoid moving the market, not executed in one block after settlement.
A similar trade happened in March, when $500M was sold minutes before another policy shift on Iran.
Oil markets are seeing record volumes and volatility, with daily trading now exceeding 1M lots.
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How many lifetimes would it take the average employee to earn a CEOβs annual salary.
βοΈ @venture
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Anthropic is considering developing in-house AI chips as demand for Claude continues to grow. The company currently relies on a mix of Nvidia GPUs, Google TPUs, and Amazon hardware.
Ongoing shortages of accelerators are pushing Anthropic to diversify its infrastructure and reduce dependence on external vendors.
OpenAI is pursuing similar plans, turning custom AI chips into a clear industry direction.
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Charlie Munger: βThe whole trick of the game is to have a few times when you know that something is better than average and to invest only where you have that extra knowledge.β
βAnd if you get just a few opportunities, that's enough.β
βοΈ @venture
βAnd if you get just a few opportunities, that's enough.β
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The US Treasury held an urgent meeting with executives from Bank of America, Citigroup, Goldman Sachs, Morgan Stanley, and the Fed over the capabilities of Claude Mythos.
Officials described the model as highly effective at finding and exploiting security flaws, with early tests showing thousands of potential attack paths across banking systems.
Banks were told that human security teams are falling behind and that rapid AI adoption in defense is now required to keep up.
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In 2022, the founders tested GPT-3 on 100 legal questions from Reddit. 86 answers passed review by real lawyers. They sent results to Sam Altman and secured a seed check with early GPT-4 access.
Instead of starting with small firms, they went straight to Allen & Overy while still a 4-person team. The first 50 enterprise clients came through referrals, driven by trust networks in the legal industry.
About 20% of Harveyβs 460 employees are lawyers, helping close deals through peer credibility. The company is now shifting from selling licenses to enabling firms to build AI workflows and sell them via revenue share.
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The top 5% of seed rounds reached $174M valuations in Q1 2026, up from $62M a year earlier. The 90th percentile also climbed from $50M to $94M.
The surge is driven by AI infrastructure, new LLMs, chips, and data center startups. Median valuations are rising slower, but the top end is heating up fast.
Early-stage pricing is starting to reflect infrastructure-scale bets.
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Police responded around 2:56 a.m. to reports of shots fired in San Franciscoβs Russian Hill. Investigators traced a vehicle linked to 25-year-old Amanda Tom and detained her with 23-year-old Muhamad Tarik Hussein on Taylor Street.
A search warrant at a residence uncovered three firearms. Both were arrested and booked for negligent discharge. No injuries were reported, and the investigation remains active.
This is the second incident targeting the same area within days. Earlier, a 20-year-old suspect allegedly threw a Molotov cocktail at Altmanβs home.
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βNothing will stop you being creative so effectively as the fear of making a mistake.β
~ John Cleese
βοΈ @venture
~ John Cleese
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Intel shares rose 227% in a year, adding $44.82 and reaching $64.56.
Wall Street consensus target sits at $47.23, implying about 20% downside. Only 9 analysts rate it a buy, while 33 say hold.
The company is still not profitable.
Intel reported a $591M loss in Q4 2025 and β$267M for the full year. Forward P/E is at 101x, with guidance of $0.00 non-GAAP EPS for Q1 2026.
There are signs of growth.
The rally is running ahead of the income statement.
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The five largest US banks are expected to report over $40B in trading revenue for Q1 2026. That would be the highest combined level in at least 12 years and about 13% higher year over year.
JPMorgan, Goldman Sachs, Morgan Stanley, Citi, and Bank of America benefited from renewed market volatility driven by Middle East conflict and US operations in Venezuela. Oil spiked, equities fell, and trading activity picked up across desks.
Equities trading is expected to grow 13β15%, outpacing FICC at 8β13%. Investment banking fees are also set to rise more than 10%, supported by deal flow tied to AI financing and a looser regulatory backdrop.
Banks are now structured to profit from client activity rather than directional bets. Volatility feeds trading revenue directly.
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SpaceX reportedly lost nearly $5B last year as AI capex reached $13B. Total revenue was $18.5B, while adjusted EBITDA came in just over $6.5B.
The spending went into chips and data centers tied to xAI. This exceeded investment in rockets and satellites. At the same time, launch services and Starlink generated close to $8B in earnings before depreciation and stock-based compensation.
Analysts now frame SpaceX as a full-stack infrastructure play. The company combines compute, models, satellite internet, and launch capability. Partnerships like Project Terafab with Intel, Tesla, and xAI point in the same direction.
IPO expectations are pulling capital into the broader space sector. ETFs saw inflows, while listed space companies moved higher alongside rising retail interest.
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A cap table circulating in venture circles outlines potential returns for OpenAI investors. The data was compiled from public filings and secondary market estimates, and attributed to investor Sheel Mohnot.
Most other investors are shown below 10x in the same table.
The numbers come from mixed sources and secondary estimates, not official disclosures.
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OpenAI says Anthropic inflates its annual run rate, putting the gap at about $8B. The claim surfaced through a leaked internal memo after reports that Anthropic crossed $30B while OpenAI sits around $24β25B.
According to the memo, Anthropic reports gross revenue from partnerships with Google and Amazon instead of net figures. That means cloud provider shares are not deducted, which lifts the headline number.
If adjusted, Anthropicβs run rate would drop below OpenAIβs by a few billion.
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