Peggy Tierney Galvin

strategy @Force4TechComms | a medley of extemporanea

[Peggy Tierney Galvin @peggy_tierney]

This is why we need the Equal Rights Amendment.

[Aaron Levie @levie]

If you wanted to know all the jobs that AI will produce, look no further than cybersecurity. This is going to become one of the biggest investment areas for enterprises going forward.

And even as the work becomes more agentic and autonomous you will need more talent to point the agents at the most critical work, review findings, patch systems, respond to incidents, and more.

Lots of opportunity right now for the systems that protect data and enterprises, as well as the professionals that are deploying them and protecting organizations.

It’s going to only get more wild out there.

[Charlotte Clymer 🇺🇦 @cmclymer]

Sorry, let me see if I got all this...

Dr. Karl Deisseroth was jointedly awarded the Nobel Prize in Medicine or Physiology yesterday.

He's a professor of bioengineering, psychiatry, and behavioral sciences at Stanford University, where he earned his medical degree and a PhD in neuroscience.

His Nobel Prize win capped off the past decade of earning other prestigious honors, including the Japan Prize, the Heineken Prize, the Horwitz Prize, and the Kyoto Prize.

He is married to Dr. Michelle Monje, who is a neuroscientist and professor of neurology at Stanford. She is also an MD and PhD.

Last year, she won the Brain Prize, which is one of the world's most prestigious honors in neuroscience. That capped off the past decade of honors for her, including the Ross Prize, the Marks Prize, the Lounsbery Award, and a MacArthur Genius Grant.

They have four children. They have a great home life. They are both respected and well-liked by their colleagues.

They appear to be two good human beings doing very good work in the world to help other human beings while balancing a happy and healthy family life and supporting each other's careers, both of which are among the most accomplished in their respective fields.

Did I get all that?

[Peggy Tierney Galvin @peggy_tierney]

@nickdamian0 +1 Tracy here.

[Rohan Paul @rohanpaul_ai]

Ben Affleck (Hollywood star & Artists Equity CEO) talks about how he fine-tunes open video models by unfreezing weights and trained only the last cinematic layer so a film crew can hit real production standards.

for context, Ben Affleck founded InterPositive in 2022, a 16-person AI shop for film post and Netflix bought it in March 2026 for $587 mn in cash.

He needed that model because public video models were trained on his peers' films, and he did not think that was a real business. So InterPositive raised money, shot its own dataset for 8 months on a controlled stage, and used it only as late-stage training.

Each new film then trains a private model on its own dailies, so the production keeps the footage and the learning. That is the product Netflix paid $587 million for.

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From "Bloomberg Live" YouTube channel, (link in comment)

[Jay Cummings @LongFormMath]

I...worked on this proof for a year...and...they just…tweeted it out.

[Karri Saarinen @karrisaarinen]

A common dynamic I observe with AI: it feels most impressive when you don’t know much about the subject, don’t care or don’t have a clear idea of what the you want.

This applies across design, code, legal, and more. If I don’t know code very well, every piece of code it writes feels very impressive.

Once you know what something should feel or look like, it becomes almost impossible to guide AI there. And you definitely can’t one-shot it.

[Peggy Tierney Galvin @peggy_tierney]

@edokeefe @washingtonpost Solidarity, Ed.

[Force4 Technology Communications @Force4TechComms]

Read this blog post from our Chief Strategy Officer, @peggy_tierney, to learn how to communicate #PR & #marketing results to decision makers and internal stakeholders: https://t.co/YG7q44IZhA

[Peggy Tierney Galvin @peggy_tierney]

@CoraCHarrington Same! I bought two second-hand for practically a song: one camelhair and one full-length of pure cashmere, each union-made in the U.S.A. I've gotten a couple more as gifts over the years. Such great quality.

[Raghav Agarwal @0xRaghav]

Most people dunking on VCs miss something crucial: VC partners are basically founders themselves. Here's why:

They raise funds from LPs just like founders raise from investors
- Need a compelling vision
- Face constant rejections
- Must prove their strategy works

They stress about payroll & team sustainability (just like startups!)

Their returns are time-boxed:
- Years before seeing gains
- Must deliver within fixed timeframes
- No follow-on fund if they don't perform

The pressure is constant:
- Every deal is public scrutiny
- One bad investment can hurt reputation
- Industry has perfect memory

They're building too:
- Creating founder networks
- Developing proprietary deal flow
- Building brand in a crowded market
- Competing for top talent

Their startup is their portfolio:
- Must actively add value
- Can't just write checks
- Need to mentor/support founders 24/7
- One failed startup impacts fund returns

Extra challenges:
- Must stay politically correct
- Need to work with competitors
- Compete for deal allocations
- Balance multiple stakeholders

The odds are tough:
- Only 5% of VC firms consistently perform
- Need contrarian bets that turn out right
- Must say no to 99% of deals
- Each "no" could be a potential unicorn missed

Sure, there are bad VCs. But that is true for any profession. A bootstrapped project becoming a success is a huge positive for the industry but it does not make VCs a bad thing.

The reality? VCs are building companies that build companies. It's founder-inception!

Remember: They're playing the same high-stakes game as founders, just from a different angle. And the game's getting harder every year.​​​​​​​​​​​​​​​​

I am extremely proud and grateful to be working with visionary founders like @emmacui and @theshikhai. I am even more proud of getting the opportunity to work with first class founders.

[Peggy Tierney Galvin @peggy_tierney]

@SwannMarcus89 Clock the date; Ireland was reeling from the potato famine in 1848. “The Graves Are Walking” by John Kelly spends a fair bit unpacking the Corn Laws’ impact on compounding the famine’s misery: https://t.co/ubmoLPt6Uv

[EMA Research @ema_research]

“When IT leaders started telling EMA more than a year ago that their personnel were using premium ChatGPT subscriptions to create device configs and automation scripts, we knew the industry was on the verge of a revolution,” said @ShamusEMA https://t.co/4WOxyMQ5pK

[Cara Sloman @Cara_Sloman]

As the tech industry evolves, so must #tech #PR. Get @peggy_tierney's tips on which metrics truly matter in 2024: https://t.co/PGcoJ9tEU0

[Lukasz Olejnik @lukOlejnik]

Apple introduces homomorphic encryption via Swift. A cryptographic technique that enables computations to be done on encrypted data without revealing the underlying unencrypted data in th process. For example during cloud computations. In short, the building blocks of privacy-preserving technologies, techniques or protocols. But there's more! Private Information Retrieval protocols! This allows building a database and retrieving information in ways that is private: only the client knows what information has been requested. The databases does not know what information the client requested. Yet, the client gets the data.

Why am I excited? I researched/used PIR ~15 years ago. In my Master's Thesis :-) https://t.co/hoBIorkxVk

[Cara Sloman @Cara_Sloman]

This blog post by @peggy_tierney, our chief strategy officer, offers #marketing strategies to help you drive a successful exit: https://t.co/mLpAvdldl9 #exitstrategy

[Cara Sloman @Cara_Sloman]

Our chief strategy officer, @peggy_tierney, has tips for what to measure and how #PR can help with the aspects of your #marketing plan that need a boost: https://t.co/1jEN3vgbJt

[Peggy Tierney Galvin @peggy_tierney]

“Can we borrow someone from the committee?”

[ra¢hel @rachdele]

22-year-old congressional staffers writing nuclear fuel cycle management policy post-chevron

[Peggy Tierney Galvin @peggy_tierney]

@edokeefe Ed.

[Force4 Technology Communications @Force4TechComms]

How will you measure tech #PR success in 2024? @peggy_tierney will show you the metrics that matter: hhttps://bit.ly/4a1VdWE #B2B

[Force4 Technology Communications @Force4TechComms]

Learn the essential components of #PR and marketing for #AI tools in this new blog post by @peggy_tierney, Force4's chief strategy officer: https://t.co/f4KHdHyV8I