James

ai | web3 | re | builder | prediction markets |

[James @jamesross]

Up next SaaP
(Software As A Person)

[James @jamesross]

@Scobleizer This is off topic, however I need to know, where did all Zuckerbergs fact checkers go, and why is the FB platform filled with nothing but scam ads? Again, sorry to post here but you are probably the only one who can figure this out.

[James @jamesross]

@SteveMcIsaac It's going to be longer than 2 days. Ck out their map.

Last 3 years it's almost as if they're holding a country wide annual burn

https://t.co/V5m3F9sGTY

[James @jamesross]

Not how astute buyers work, but appreciate the optimism.
Pricing history tells a story.
8-7-6m drop- price discovery.
Jan 5.5m still looking.
Mar 5.6m found market but let's get more.
Apr 6m still trying to get more. May1st 5.6m uh oh overshot. May3rd 5.3m double uh oh.
Now we're in July, peak S.FL buying window closed, no offers.
Market has spoken.

[James @jamesross]

@BTCNord Ledger??? Really?? Have you not been paying attention for the past 4 years????

[James @jamesross]

@Scobleizer @hf0 @rich_cartwright Was waiting for him to break out some p90x push-ups. lol. But honestly, he nailed it. When you think about the ending.. He left everyone wanting more.. Thanks for posting!!

[James @jamesross]

@gurvansh99 So their business model is On-Demand Fiverr for AI Agents?

[James @jamesross]

If you want to know the future of AI and Humans and how it all works, here it is.
There's also a great 15min video at the end to show you what's happening right now which supports this.
https://t.co/ljPnNEUGeC

[James @jamesross]

@Scobleizer @Tesla Had you just started a very important project and Murphys Law tried to derail? 😆

[James @jamesross]

@JakeFleshner Replicating You

[James @jamesross]

@MichaelGannotti If you want something quiet, you could always go with "pc's on a stick" 😆

[James @jamesross]

@New_owner1 @cb_doge The 52-page privacy lawsuit contends that Meta employees, Irish consulting and tech firm Accenture and possibly other third parties, unbeknownst to users, can access messages via a “backdoor” in the WhatsApp source code.

https://t.co/SZKDMRlfh5

[James @jamesross]

@Scobleizer @PlugandPlayTC PlugandPlay has had lots of cool innovations

[James @jamesross]

@BrianRoemmele @grok Agreed!

[James @jamesross]

@pmarca Welcome to the party 🍹🎆

[James @jamesross]

@amuse @amuse then the wealth creators watch this and decide to replace teachers with AI Teaching Agents.. Checkmate

[James @jamesross]

Today's LiteLLM Hack Is a Wake-Up Call for Everyone Building With AI

LiteLLM has become an important part of the modern AI stack because it acts as a unified layer between applications and many different large language model providers. Instead of building separate integrations for OpenAI, Anthropic, Azure, Bedrock, Vertex, and others, developers can use LiteLLM to standardize calls, switch models more easily, and manage routing, fallbacks, and usage controls through one interface. That flexibility is a big reason why it has gained adoption across AI teams and products.

That is what makes the recent LiteLLM supply-chain incident so concerning. Reports indicate that a malicious package version was uploaded to PyPI, and public analysis showed that litellm==1.82.8 contained a .pth file that could execute automatically when Python started. In other words, this was not just a broken release or simple bug. It appears to have been a compromise that could trigger code execution as soon as the package was installed and loaded into an environment.

At a high level, the concern is that the malicious code was designed to collect sensitive information from affected systems. Public reporting and the GitHub issue describing the compromise indicate that the payload targeted items such as environment variables, SSH keys, cloud credentials, Kubernetes configuration, Docker configuration, and shell history. That matters because many AI and software environments store highly privileged secrets in exactly those places.

For the average business or technical leader, the takeaway is simple: supply-chain attacks are now one of the biggest risks in AI infrastructure. Many teams focus heavily on model quality, latency, and cost, but a single compromised dependency can create a much larger problem than a bad model response.

If a package that sits in the middle of your AI gateway or orchestration stack is compromised, the blast radius can extend far beyond one application into developer machines, servers, CI/CD pipelines, and cloud environments.

https://t.co/dSegtfq5RB

[James @jamesross]

@crypto_bitlord7 @AlwaysUpBrah https://t.co/VkTeMjizW4