$SACKS on Solana

The OG memecoin (launched March 2024) for @DavidSacks @davidsacks47 - The Crypto and AI Czar under @POTUS - pepEMw1rN49vkeVA6h5dvuva5i6ukQsbMJgNCvumwu6

[$SACKS on Solana @sacksCTO]

@JesseBWatters @DavidSacks $SACKS

pepEMw1rN49vkeVA6h5dvuva5i6ukQsbMJgNCvumwu6

[The All-In Podcast @theallinpod]

WATCH: Elon Musk and David Sacks brainstorm Grokipedia live

Elon:

“If you take, say Wikipedia as an example, but this really applies to books, PDFs, websites, every form of information.”

“Grok is using heavy amounts of inference compute to look at, as an example, a Wikipedia page and say, ‘What is true, partially true, false, or missing in this page? Now rewrite the page to remove the falsehoods, correct the half-truths and add the missing context.’”

Sacks:

“Elon, by the way, could you just publish that? Could we create like a Grokipedia?”

“Wikipedia is so biased and it's a constant war, you know, if something gets corrected, five minutes later, there'll be an army of people trying to.. I mean, it's become hyperpartisan and there's activists all over it.”

“So if you do fix, for example, Wikipedia as a source of truth, it'd be great to publish that just so the world has it.”

Elon:

“Alright, I'll talk to the team about that, like Grokipedia or whatever.”

“Here's the Grokipedia version.”

[$SACKS on Solana @sacksCTO]

@theallinpod $SACKS

pepEMw1rN49vkeVA6h5dvuva5i6ukQsbMJgNCvumwu6

[$SACKS on Solana @sacksCTO]

@DavidSacks THE $SACKS has spoken!

pepEMw1rN49vkeVA6h5dvuva5i6ukQsbMJgNCvumwu6

[David Sacks @DavidSacks]

Charlie, this is your biggest rally yet. We will never let your voice be silenced. Your legacy will only grow greater and greater.

[$SACKS on Solana @sacksCTO]

@DavidSacks Let me have the honor of showing you $SACKS

pepEMw1rN49vkeVA6h5dvuva5i6ukQsbMJgNCvumwu6

[David Sacks @DavidSacks]

Just before the All-In Summit, President Trump did us the honor of showing us around the Oval Office.

[Crypto Rover @cryptorover]

💥BREAKING:

🇺🇸 SEC and CFTC plan to bring perpetual contracts onshore for U.S. traders, with a joint roundtable set for September 29.

[Chief Nerd @TheChiefNerd]

🔥 David Sacks Destroys Gavin Newsom’s Record and His 2028 Hopes

“Until the Democrats confront why they really lost … and change their policies, then I think they're going to continue losing.”

[David Sacks @DavidSacks]

LOL

[$SACKS on Solana @sacksCTO]

@AutismCapital Any publicity is good publicity 🤷‍♂️

$SACKS

pepEMw1rN49vkeVA6h5dvuva5i6ukQsbMJgNCvumwu6

[Autism Capital 🧩 @AutismCapital]

David Sacks made it to the new South Park 😂

[The All-In Podcast @theallinpod]

BESTIES ARE BACK! 🚨

ai psychosis, america's broken social fabric, trump takes over dc police, is vc broken?

-- ai psychosis, why people are being one-shotted

-- why america's social fabric is fraying

-- trump takes federal control of dc police

-- is venture capital broken?

(0:00) bestie intros!

(4:45) ai psychosis: what it looks like and why it's happening

(20:13) why the social fabric in america is breaking down

(35:55) fixing the incentives that created the student debt crisis

(48:52) trump takes federal control of dc police

(1:05:39) venture capital: is it broken and what it will look like in the future?

[Megyn Kelly @megynkelly]

The Besties of @theallinpod sent me a bottle of their new tequila - it was spectacular! Drank it with friends, neat - who does that with tequila? - & we all loved it. Very special - great job guys! Even @jason!

[David Sacks @DavidSacks]

A BEST CASE SCENARIO FOR AI?

The Doomer narratives were wrong. Predicated on a “rapid take-off” to AGI, they predicted that the leading AI model would use its intelligence to self-improve, leaving others in the dust, and quickly achieving a godlike superintelligence. Instead, we are seeing the opposite: 
— the leading models are clustering around similar performance benchmarks;
— model companies continue to leapfrog each other with their latest versions (which shouldn’t be possible if one achieves rapid take-off);
— models are developing areas of competitive advantage, becoming increasingly specialized in personality, modes, coding and math as opposed to one model becoming all-knowing. 

None of this is to gainsay the progress. We are seeing strong improvement in quality, usability, and price/performance across the top model companies. This is the stuff of great engineering and should be celebrated. It’s just not the stuff of apocalyptic pronouncements. Oppenheimer has left the building. 

The AI race is highly dynamic so this could change. But right now the current situation is Goldilocks:
— We have 5 major American companies vigorously competing on frontier models. This brings out the best in everyone and helps America win the AI race.  As @BalajiS has written: “We have many models from many factions that have all converged on similar capabilities, rather than a huge lead between the best model and the rest. So we should expect a balance of power between various human/AI fusions rather than a single dominant AGI that will turn us all into paperclips/pillars of salt.”
— So far, we have avoided a monopolistic outcome that vests all power and control in a single entity. In my view, the most likely dystopian outcome with AI is a marriage of corporate and state power similar to what we saw exposed in the Twitter Files, where “Trust & Safety” gets weaponized into government censorship and control. At least when you have multiple strong private sector players, that gets harder. By contrast, winner-take-all dynamics are more likely to produce Orwellian outcomes.
— There is likely to be a major role for open source. These models excel at providing 80-90% of the capability at 10-20% of the cost. This tradeoff will be highly attractive to customers who value customization, control, and cost over frontier capabilities. China has gone all-in on open source, so it would be good to see more American companies competing in this area, as OpenAI just did. (Meta also deserves credit.)
— There is likely to be a division of labor between generalized foundation models and specific verticalized applications. Instead of a single superintelligence capturing all the value, we are likely to see numerous agentic applications solving “last mile” problems. This is great news for the startup ecosystem. 
— There is also an increasingly clear division of labor between humans and AI. Despite all the wondrous progress, AI models are still at zero in terms of setting their own objective function. Models need context, they must be heavily prompted, the output must be verified, and this process must be repeated iteratively to achieve meaningful business value. This is why Balaji has said that AI is not end-to-end but middle-to-middle. This means that apocalyptic predictions of job loss are as overhyped as AGI itself. Instead, the truism that “you’re not going to lose your job to AI but to someone who uses AI better than you” is holding up well. 

In summary, the latest releases of AI models show that model capabilities are more decentralized than many predicted. While there is no guarantee that this continues — there is always the potential for the market to accrete to a small number of players once the investment super-cycle ends — the current state of vigorous competition is healthy. It propels innovation forward, helps America win the AI race, and avoids centralized control. This is good news — that the Doomers did not expect.

[$SACKS on Solana @sacksCTO]

@WatcherGuru We are currently allowing any based chad access to $SACKS

[Watcher.Guru @WatcherGuru]

JUST IN: 🇺🇸 Crypto Czar David Sacks says the executive orders President Trump signed today will give 90 million Americans access to crypto.

[$SACKS on Solana @sacksCTO]

Stack them $SACKS

💰💰💰

[The White House @WhiteHouse]

MAKE AMERICA HEALTHY AGAIN:

Today, @POTUS, alongside @DrOzCMS, @SecKennedy, and @DavidSacks, officially launched the CMS Digital Health Tech Ecosystem.

[Bo Hines @BoHines]

Dream team.